Welcome to my page!

Md Atiqur Rahman Ahad, PhD, SMIEEE, SMOPTICA
Professor of Artificial Intelligence
Coordinator, UoA11, Research Excellence Framework (REF2029), UK,
Champion, Research and Innovation,
Dept. of Computer Science and Digital Technology,
University of East London, UK
Visiting Professor
Kyushu Institute of Technology, Japan
Visiting Professor
Aoyama Gakuin University, Japan
Visiting Professor
UCSI University, Malaysia
(TUBITAK) Visiting Professor (former)
Bahcesehir University, Turkey
Visiting Professor (former)
University of Brawijaya, Indonesia
Professor (former)
University of Dhaka, Bangladesh
Specially Appointed Associate Professor (former)
Osaka University, Japan

News

  • Click to SUBSCRIBE the YouTube channel: Rumaisa Umar Foundation.

  • Call for Paper: 7th Int. Conf. on Activity and Behavior Computing (ABC), April 2025, UAE.
  • Some of the recent awards (special thanks to my students & collaborators):
    • Excellent Paper Award - 1, 11th International Conference on Informatics, Electronics & Vision (ICIEV), & 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR), London, UK, Oct., 2023.
    • Impact Builder Programme Award 2022/23, “Investigating the Opportunities and Challenges of Digital Social Prescribing for the Improvement of Mental Health and Its Optimisation through AI”, UEL, Oct. 2023.
    • WINNER Award (0.1 million JPY), Heatstroke Prevention Challenge, DFKI, Germany, Sept. 2023.
    • 2nd Place Award, Parkinson’s Disease Wearing-off Recognition Challenge, DFKI, Germany, Sept. 2023.
    • 3rd Place Award, Heatstroke Prevention Challenge, DFKI, Germany, Sept. 2023.
    • UEL Grant, "AI-based Exploration of Behaviours of Bacteria Regarding Anti-Microbial Resistance (AMR)", UEL, 2023.
    • Internship Grant, Office for Students (OfS), 2023.
    • Runner-up, Impactful Research Award, School of ACE, University of East London, UK, June 2023.
    • Runner-up Award, BCS (British Computer Society)'s Runner-up Award, Project competition, on "Mental Health Analysis based on Text Sentiment", University of East London, UK, June 2023.
    • Best Paper Award, 4th Int. Conf. on Activity & Behavior Computing (ABC), 27-29 Oct. 2022.
    • 2nd Best Paper Award, IEEE Computer Society BD Chapter Winter Symposium, 13-14 Nov. 2021.
    • Winner (0.1 million JPY), Bento Packaging Activity Recognition Challenge, at 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
    • 1st Runner-up, Bento Packaging Activity Recognition Challenge, at 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
    • 2nd Runner-up, Bento Packaging Activity Recognition Challenge, at 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
    • Work-in-Progress Award, 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
    • 2nd Place Award, Sussex-Huawei Locomotion and Transportation Recognition Challenge (SHL), at 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC'21), Sept. 2021.
    • Winner (0.1 million JPY), 3rd Nurse Care Activity Recognition Challenge, at 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC'21), Sept. 2021.
    • Runner-up, 3rd Nurse Care Activity Recognition Challenge, at 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC'21), Sept. 2021.
    • Best Paper Award (Gold), Joint 2021 10th International Conference on Informatics, Electronics & Vision (ICIEV) & 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, Aug. 2021.
    • Best Paper Award (Bronze), Joint 2021 10th International Conference on Informatics, Electronics & Vision (ICIEV) & 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, Aug. 2021.
    • 3rd Best Paper Award, National Workshop on Big Data and Machine Learning (BDML 2020), BD, Dec. 2020.
    • 2nd Best Paper Award, IEEE Computer Society BD Chapter Winter Symposium, BD, Nov. 2020.
    • 2nd Place Award, 2nd Nurse Care Activity Recognition Challenge, at 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20), Mexico, Sept. 2020.
    • 3rd Place Award, 2nd Nurse Care Activity Recognition Challenge, at 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20), Mexico, Sept. 2020.
    • Excellent Paper Award, 4th Int. Conf. on Imaging, Vision and Pattern Recognition, Japan, Aug. 2020.
    • Excellent Paper Award, 9th Int. Conf. on Informatics, Electronics & Vision, Japan, Aug. 2020.
  • Journal: Call for Papers (FREE to publish/access): Int. Journal on Computer Vision & Signal Processing (IJCVSP) (ISSN: 2186-1390)
  • Click for more/past news

Research Interests

  • AI & Healthcare Monitoring: Parkinson's Disease, Stroke Rehabilitation, Heatstroke, Autism, Dementia
  • Antimicrobial Resistance (AMR), Large-scale Cell Analysis
  • AI & Psychology: Mental Health & Well-being
  • Vision & Imaging, IoT Sensor
  • Technologies for Unreached People

Projects

Parkinson's Disease: Wearing-Off Forecasting Based on AI & Sensors

Parkinson's disease (PD) patients experience a range of symptoms, necessitating personalized treatment programs. Anti-PD medications are commonplace, yet a scenario can develop in which the Parkinson's medication being taken is no longer as effective as it once was. It may result in the re-emergence of symptoms prior to the next medicine intake. This is referred to as "wearing off". Over time, the duration of "wearing-off" shortens, requiring effective symptom management in collaboration between patients and doctors. We study to develop prediction models to determine the occurrence of "wearing-off" in anti-PD medicine. To create the predictive model, we explore real-world data, fitness tracker records and self-reported symptoms. However, conducting such a study in real-world settings presents challenges, including high-class imbalance and intra-class variability when collecting self-reported symptoms from patients.
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Antimicrobial Resistance (AMR) Mechanism

AMR is ‘the silent pandemic’ [“Research Careers in Antimicrobial Resistance”, American Society of Microbiology (ASM), Statement by Cesar Arias, Editor-in-Chief, Antimicrobial Agents and Chemotherapy Journal (AAC), Nov. 2022.]. WHO has declared AMR as a top-10 global public health threats. Antibiotic and antimicrobial resistance is the no. 3 global public health threat. Overuse and misuse of antimicrobials are a key reason for the proliferation of drug-resistant pathogens. As per WHO, ‘The world is running out of effective antibiotics’. Hence, drug-resistant infections are killing many people (e.g., ~5 million deaths per year) [WHO, May 2022]. Due to its massive importance, “WHO Antimicrobial Resistance Division”. Hence, we are working to find the inherent mechanisms of antimicrobial resistance using AI.

Remote Patient Monitoring: Rehabilitation Evaluation of Stroke/Dementia/PD Patients

We are having less number of therapists & doctors, compared to the demands. What to do? Can we develop any automated systems to help doctors? Can we estimate various health-based scores, or scores related to rehabilitation? E.g., Stroke Impairment Assessment Set (SIAS) Score, or Berg Balance Score (BBS). Can we evaluate someone remotely from home? Remote patient monitoring has enormous demand. However, challenges are higher: What mode can we add for better evaluation? e.g., Video? Skeleton? IoT sensors? Pain? Face? Multi-modality? Sound? We are developing AI-based frameworks with hospitals and rehabilitation center for rehabilitation patients due to stroke or dementia.
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Robot-/Sensor-driven Therapy for Autism Spectrum Disorder (ASD)

We are attempting to predict Autism Spectrum Disorder (ASD) and the associated Autism Diagnostic Observation Schedule (ADOS) scores using data from the body skeleton, head movement, eye gaze, and saliency. ASD is a neurological and developmental disorder that affects how people interact with others, communicate, learn, and behave. Scores from the Autism Diagnostic Observation Schedule (ADOS) are regarded as a standard tool for making an early diagnosis of autism. Successful treatment of ASD requires proper diagnosis and methodical therapy plans. Conventional treatments of ASD usually involve diverse intervention techniques designed by professional therapists. Unfortunately, highly trained therapists are not always readily available. Accessible therapists may sometimes lack experience and observational skills, making it difficult to assist ASD children effectively. So the question is, can we find an alternative to Standard Human Therapy (SHT) in the form of Robot Assisted or Robot Enhanced Therapy (RET)? We are developing system and methods to effectively assist RET in ASD diagnosis and therapy.
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Thermal Comfort and Heatstroke

The rise in global temperatures has become a significant concern, leading to an increase in heat stroke incidents, which pose severe health consequences, including mortality. The comfort levels of indoor environments fluctuate depending on various activities performed in different situations. Heatstroke is life-threatening, with rising mortality rates attributed to increasing global temperatures. Physiological data, encompassing heart rate, body temperature, and blood pressure, provide valuable insights into the identification of patterns and trends that may signify an elevated risk of heatstroke. However, manual analysis of such data proves impractical due to its complexity and volume. Acute discernment of heatstroke symptoms remains imperative for effective interventions. We want to forecast heatstroke risk, enhancing machine learning algorithms based on physiological features. Our works promise for advancing the state-of-the-art in heatstroke prevention, augmenting the accuracy and reliability of the predictive models, and consequently, benefiting public health initiatives.
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Mental Health & Productivity: Telework vs. Office Work on Multimodal Data

The COVID-19 pandemic has led to a massive increase in the use of home/Telework. Thus, remote work styles have become the norm. 1/3rd of office employees switched to working from home due to the COVID-19 pandemic (as in 2021, as per OECD). In the fields of human-computer interaction and computer-supported cooperative work, lots of activities are going on regarding collaboration, engagement and coordination of the staffs -- their mental well-being as well as productivity. However, these are extremely difficult tasks. Working from home can have positive and negative impacts on physical and mental health, work productivity, work-life balance, and family functioning. To understand the relationship between work behaviors and physical and mental health – we need massive amounts of multi-modal data, collected from phones, wearable, and environmental elements. We are working to understand the inherent relationships.

Human Identification at a Distance in the Wild

Human identification at a distance (HID) poses significant challenges, as most traditional biometric modalities are difficult to acquire under such circumstances. However, with the increasing need for enhanced security measures, there is a growing demand for reliable methods of human identification at a distance. Gait recognition has emerged as a promising biometric modality for this purpose, as it can be captured even when faces are obscured or too small to be detected, making it valuable in scenarios where other biometric features are unavailable. Due to the pandemic, where facial masks are commonly worn in public, gait recognition becomes even more relevant as it may be the only viable biometric feature at a distance. Gait recognition has witnessed significant advancements, particularly with the advent of deep learning techniques, since its inception in the late 1990s. Human Identification at a Distance (HID) is an important research area due to its importance (especially in biometrics) and inherent challenges within this domain. To mitigate some of the constraints, we have introduced the HID challenge in 2020, 2021, 2022, and 2023.
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Skeleton-based Cross-view Gait Recognition

Biometrics refers to recognizing an individual based on their physiological or behavioral traits. In contrast to physiological biometrics, such as iris, fingerprint, and face, gait is a behavioral biometric modality that defines a person’s unique walking patterns. RGB image sequence, silhouette image sequence, and skeleton image sequence can be explored. The spatiotemporal dynamics of skeleton key points convey rich information against carried objects and clothing variations.

Facial Expression for Autism Spectrum Disorder (ASD)

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects individuals’ social interaction, communication, and behavior. Early diagnosis and intervention are critical for the well-being and development of children with ASD. Available methods for diagnosing ASD are unpredictable (or with limited accuracy) or require significant time and resources. We aim to enhance the precision of ASD diagnosis by utilizing facial expressions, a readily accessible and limited time-consuming approach. We also develop a facial expression-based ASD dataset. To the best of our knowledge, this is the largest dataset of its kind.
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Nursing Activity Recognition in the Field

Nursing activity recognition has immense importance in the development of smart healthcare management and is an extremely challenging area of research in human activity recognition (HAR). The main reasons are an extreme class-imbalance problem and intra-class variability depending on both the subject and the recipient. We are exploring the CARECOM Nurse Care Activity dataset and the Heiseikai Nurse Care Activity dataset to demonstrate our method.
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Annotator's Uncertainty and Relative Attributes

An uncertainty-aware estimation framework for gait relative attributes: We specifically design a two-stream network model that takes a pair of gait videos as input. It then outputs a corresponding pair of Gaussian distributions of gait absolute attribute scores and annotator-dependent gait relative attribute label distributions. Moreover, we propose a differentiable annotator-independent uncertainty layer to estimate the gait relative attribute score distribution from the absolute distributions then map it to a relative attribute label distribution using the computation of cumulative distribution functions. Furthermore, we propose another annotator-dependent uncertainty layer to estimate the uncertainty on the gait relative attribute labels in terms of a set of trainable transition matrices. Finally, we design a joint loss function on the relative attribute label distribution to learn the model parameters. Experiments on two gait relative attribute datasets demonstrated the effectiveness of the proposed method against baselines in quantitative and qualitative evaluations.
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Publications


Book
Book Chapter
Journal
Edited Conference Proceedings
Proceedings

Book

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Book Chapter

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Journal

Selected 5 Journal Papers:

  • H. Imani, M.B. Islam, M.S. Junayed, and Md Atiqur Rahman Ahad, “Stereoscopic Video Deblurring Transformer", Scientific Reports, Nature, Vol. 14, 14342, 2024. Download
  • A. Shehata, Y. Makihara, D. Muramatsu, Md Atiqur Rahman Ahad, and Y. Yagi, "Annotator-dependent Uncertainty-aware Estimation of Gait Relative Attributes", Pattern Recognition, Elsevier, Vol. 136, 109197, 2023. Download
  • M.A.A. Faisal, F. Fuad, M.U. Ahmed, and Md Atiqur Rahman Ahad, "Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove", Scientific Reports, Nature, Vol. 12, 2022. Download
  • Md Atiqur Rahman Ahad, M. Ahmed, A.D. Antar, Y. Makihara, and Y. Yagi, "Action recognition using Kinematics Posture Feature on 3D skeleton joint locations", Pattern Recognition Letters, Elsevier, Vol. 145, pp. 216-224, 2021. Download
  • A.D. Antar, M. Ahmed, and Md Atiqur Rahman Ahad, "Recognition of human locomotion on various transportations fusing smartphone sensors", Pattern Recognition Letters, Elsevier, 148, pp. 146-153, 2021. Download
  • M. Ahmed, A.D. Antar, and Md Atiqur Rahman Ahad, "Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition", Pattern Recognition Letters, Elsevier, Vol. 147, pp. 25-33, 2021. Download

Full List of Journal Papers:

[N.B.: All submitted papers are also mentioned below. No dual submission. No submissions without the mentioned lists below.]
  • H. Imani, M.B. Islam, M.S. Junayed, and Md Atiqur Rahman Ahad, “Stereoscopic Video Deblurring Transformer", Scientific Reports, Nature, Vol. 14, 14342, 2024. Download
  • Nazmun Nahid, Iqbal Hassan, Xinyi Min, Naoya Ryoke, Md Atiqur Rahman Ahad, and Sozo Inoue, “Integrating Human Behavioral Model for Intimate-distance Human Robot Collaboration”, International Journal of Activity and Behavior Computing, J-Stage, Vol. 2, Issue 2, pp. 1-26, 2024. Download
  • Iqbal Hassan, Nazmun Nahid, Md Atiqur Rahman Ahad, and Sozo Inoue, “Elderly Motion Analysis to Estimate Emotion: A Systematic Review”, International Journal of Activity and Behavior Computing, J-Stage, Vol.2, issue 2, pp. 1-23, 2024. Download
  • S. M. Hozaifa Hossain, Samiul Islam, Md. Zasim Uddin, Shahera Hossain, and Md Atiqur Rahman Ahad, “Enhancing nursing activity recognition during endotracheal suctioning through video-based pose estimation and machine learning”, International Journal of Activity and Behavior Computing, J-Stage, 2024.
  • Md Ibrahim Mamun, Shahera Hossain, Md. Baharul Islam, and Md Atiqur Rahman Ahad, “Generative AI for Recognizing Nurse Training Activities in Skeleton-Based Video Data”, International Journal of Activity and Behavior Computing, J-Stage, 2024.
  • Md. Zasim Uddin, Md. Nadim Mahamood, Ausrokona Ray, Md. Ileas Pramanik, Fady Alnajjar, and Md Atiqur Rahman Ahad, "E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis", Journal of Integrative Agriculture, 2024. Download
  • Md. Zasim Uddin, Md. Arif Shahriar, Md. Nadim Mahamood, Fady Alnajjar, Md. Ileas Pramanik, and Md Atiqur Rahman Ahad, "Deep learning with image-based autism spectrum disorder analysis: a systematic review", Engineering Applications of Artificial Intelligence, Vol. 127, 2024. Download
  • A. Shehata, Y. Makihara, D. Muramatsu, Md Atiqur Rahman Ahad, and Y. Yagi, "Annotator-dependent Uncertainty-aware Estimation of Gait Relative Attributes", Pattern Recognition, Elsevier, Vol. 136, 109197, 2023. Download
  • K.M. Hossain, M.A. Islam, S. Hossain, A. Nijholt, and Md Atiqur Rahman Ahad, "Status of Deep Learning for EEG-based Brain-Computer Interface Applications", Frontiers in Computational Neuroscience, Frontiers, 2023. Download
  • Md Ahasan Atick Faisal, Farhan Fuad, Mosabber Uddin Ahmed, and Md Atiqur Rahman Ahad, "Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove", Scientific Reports, Nature, Vol. 12, 2022. Download
  • Upal Mahbub and Md Atiqur Rahman Ahad, "Advances in Human Action, Activity and Gesture Recognition", Pattern Recognition Letters, Elsevier, 2022.
  • U. Shammi and Md Atiqur Rahman Ahad, "A sleep monitoring system using ultrasonic sensors", International Journal of Biomedical Soft Computing and Human Sciences (IJBSCHS), Vol. 27, No. 1, pp. 13-22, 2022.
  • Md Atiqur Rahman Ahad, Masud Ahmed, Anindya Das Antar, Yasushi Makihara, and Yasushi Yagi, "Action recognition using Kinematics Posture Feature on 3D skeleton joint locations", Pattern Recognition Letters, Elsevier, Vol. 145, pp. 216-224, 2021. Download
  • Ferdous Ali Israt, Tahera Hossain, Sozo Inoue, and Md Atiqur Rahman Ahad, "Activity Recognition from Accelerometer Data Based on Supervised Learning for Wireless Sensor Network", International Journal of Biomedical Soft Computing and Human Sciences (IJBSCHS), Vol. 26, No. 2, 2021.
  • Anindya Das Antar, Masud Ahmed, and Md Atiqur Rahman Ahad, "Recognition of human locomotion on various transportations fusing smartphone sensors", Pattern Recognition Letters, Elsevier, 148, pp. 146-153, 2021. Download
  • Masud Ahmed, Anindya Das Antar, and Md Atiqur Rahman Ahad, "Static Postural Transition-based Technique and Efficient Feature Extraction for Sensor-based Activity Recognition", Pattern Recognition Letters, Elsevier, Vol. 147, pp. 25-33, 2021. Download
  • Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md. Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, AKM Azad, Salem A. Alyami, Md Atiqur Rahman Ahad, and Pietro Lio, "Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques", IEEE Access, 2021. Download
  • Sejuti Rahman, Syeda Faiza Ahmed, Omar Shahid, Musabbir Ahmed Arrafi, and Md Atiqur Rahman Ahad, "Automated Detection Approaches to Autism Spectrum Disorder Based on Human Activity Analysis: A Review", Cognitive Computation, Springer, 2021. Download
  • Mehedi Hasan Raju, Mosabber Uddin Ahmed, and Md Atiqur Rahman Ahad, "MUMAP: Modified Ultralightweight Mutual Authentication protocol for RFID enabled IoT networks", Journal of the Institute of Industrial Applications Engineers, Vol. 9, No. 2, pp. 26-32, 2021.
  • Muiz Ahmed Khan, Pias Paul, Mahmudur Rashid and Mainul Hossain, and Md Atiqur Rahman Ahad, "An AI-based Visual Aid with Integrated Reading Assistant for the Completely Blind", IEEE Transactions on Human-Machine Systems, 2020. Download
  • Tahera Hossain, Md Atiqur Rahman Ahad, Sozo Inoue, "A Method for Sensor-Based Activity Recognition in Missing Data Scenario", Sensors, 20(14):3811, 2020. Download
  • MAR Ahad, TT Ngo, AD Antar, M Ahmed, T Hossain, D Muramatsu, Y Makihara, S Inoue, ans Y Yagi, "Wearable Sensor-Based Gait Analysis for Age and Gender Estimation", Sensors, 20(8):2424, 2020. Download
  • M.A.R. Ahad and Israt Jahan, "A Study of Left Ventricular (LV) Segmentation on Cardiac Cine-MR Images", accepted in Jurnal Kejuruteraan (Journal of Engineering), 2020.
  • Md Atiqur Rahman Ahad and Tanmoy Paul, "Human-Human Interaction Recognition Based on Gradient-based Features", International Journal of Biomedical Soft Computing and Human Sciences, 25(2), pp. 39-47, 2020. Download
  • Md. Zasim Uddin, D Muramatsu, T Noriko, Md Atiqur Rahman Ahad, and Y Yagi, "Spatio-temporal silhouette sequence reconstruction for gait recognition against occlusion", IPSJ Transactions on Computer Vision and Applications, 11:9, 1-18, 2019. Download
  • Arafat Islam, Naimur Rahaman, and Md Atiqur Rahman Ahad, "A Study on Tiredness Assessment by Using Eye Blink Detection", Jurnal Kejuruteraan (Journal of Engineering), 31(2), 209-214, 2019.
  • Md Atiqur Rahman Ahad, Rifat Reza, and Mosabber Uddin Ahmed, "A Study on Computer-Aided Diagnosis of Alzheimer's Disease from the Ventricular Enlargement using S-MRI Data", International Journal of Biomedical Soft Computing and Human Sciences, Vol. 24, No. 2, 2019.
  • Md. Alomgeer Hussein, Md. Talal Bin Noman, and Md Atiqur Rahman Ahad, "A Study on Tiredness Measurement using Computer Vision", Journal of the Institute of Industrial Applications Engineers, Vol. 7, No. 4, pp. 110-117, 2019.
  • Md. Moin Uddin Atique, Md. Rafiqul Islam Sarker, and Md Atiqur Rahman Ahad, "Development of an 8DOF Quadruped Robot and Implementation of Inverse Kinematics using Denavit-Hartenberg Convention", Heliyon, Elsevier, Vol. 4, Issue 12, pp. 1-19, 2018. Download
  • SS Saha, S Rahman, MJ Rasna, TB Zahid, AKMM Islam, and Md Atiqur Rahman Ahad, "Feature Extraction, Performance Analysis and System Design using the DU Mobility Dataset", IEEE Access, IEEE, 2018. Download
  • Ferdous Ali Israt, Mostafa Zaman, Mosabber Uddin Ahmed, Syoji Kobashi, and Md Atiqur Rahman Ahad, "A Study on Human Action Recognition based on a modified-MHI", International Journal of Biomedical Soft Computing and Human Sciences, Vol. 23, No. 1, pp. 1-13, Japan, 2018. Download
  • Tanmoy Paul, Ummul Afia Shammi, Mosabber Uddin Ahmed, Rashedur Rahman, Syoji Kobashi, and Md Atiqur Rahman Ahad, "A Study on Face Detection Using Viola-Jones Algorithm for Various Backgrounds, Angels and Distances", International Journal of Biomedical Soft Computing and Human Sciences, Vol. 23, No. 1, Japan, 2018. Download
  • Md. Talal Bin Noman and Md Atiqur Rahman Ahad, "Mobile-based Eye-Blink Detection Performance Analysis on Android Platform", Frontiers in ICT - Human-Media Interaction, 5(4), DOI: 10.3389/fict.2018.00004, Switzerland, 2018. Download
  • MAR Ahad, S Kobashi, and JMRS Tavares, "Advancements of Image Processing and Vision in Healthcare", Journal of Healthcare Engineering, Hindawi, Vol. 2018, Article ID 8458024, UK, 2018.
  • Nazmus Sakib and Md Atiqur Rahman Ahad, "An Optimized Structure for Enhancing Optical Absorption of Solar Energy in Elliptical GaAs Nanowire Array Solar Cell", UKM Engineering Journal (JURNAL KEJURUTERAAN), 30(1), pp. 1-6, DOI : dx.doi.org/10.17576/jkukm-2018-30(1)-01, 2018. Download
  • Syed Mahir Tazwar, Zishan Zahidul Islam, Md. Zahidul Islam, and Md. Atiqur Rahman Ahad, "A Study on Sensor-based Human Activity Analysis", IUB Journal of Engineering and Computer Science, BD, vol. 2, no. 1-2, 2017.
  • Tanmoy Paul, Ummul Afia Shammi, Seiichi Serikawa, and Md. Atiqur Rahman Ahad, "A Study on Recognition of Two-Person Interactions Based on Concatenated History Images", Journal of the Institute of Industrial Applications Engineers, Vol.5, No.2, pp.71-78, Japan, 2017.
  • Md Ismail Hossain Raju, Sharmeen Sultana Ananna, Syed Shafiul Islam Meraz, Md. Zakaria Azam, Seiichi Serikawa, and Md. Atiqur Rahman Ahad, "Human Action Recognition: A Template Matching-based Approach", Journal of the Institute of Industrial Applications Engineers, Vol.5, No.1, pp.15-23, Japan, 2017.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "Activity Representation by SURF-based Templates", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, Vol. 6, No. 5, pp. 573-583, 2018. DOI: 10.1080/21681163.2017.1298472.
  • Fahad Parvez Mahdi, MMHabib, M Ahad, S. Mckeever, ASM Moslehuddin, P. Vasant, "Face Recognition-based Real Time System for Surveillance", Intelligent Decision Technologies, IOS Press, Vol. 11, No. 1, pp. 79-92, 2017.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "A Simple Approach for Low-Resolution Activity Recognition", Int. Journal for Computational Vision and Biomechanics (IJCVB), Vol. 3, No. 1, pp. 17-24, Jan.-June 2017.
  • Syoji Kobashi, Md. Atiqur Rahman Ahad, Namkug Kim, Yubing Tong, and Naomi Yagi, "Soft Computing in Medical Informatics", International Journal of Innovative Computing, Information and Control, Vol. 12, No. 4, pp. 1351-1352, 2016.
  • Md. Atiqur Rahman Ahad, Md. Nazmul Islam, Israt Jahan, "Action recognition based on binary patterns of action-history and histogram of oriented gradient", Journal on Multimodal User Interfaces, Springer, Vol. 10, No. 4, pp. 335-344, 2016.
  • H Imtiaz, U Mahbub, and M Ahad, "Action Recognition by Exploiting Wavelet Features", International Journal of Intelligent Computing in Medical Sciences & Image Processing, Taylor & Francis, Vol. 6, No. 2, pp. 79-91, 2015.
  • RM Mueid, C Ahmed, and M Ahad, "Pedestrian Activity Classification Using Patterns of Motion and Histogram of Oriented Gradient", Journal on Multimodal User Interfaces, Springer, pp. 1-7, 2015. Download
  • H Imtiaz, U Mahbub, G Schaefer, Shao Ying Zhu, and Md. Atiqur Rahman Ahad, "Human Action Recognition based on Spectral Domain Features", Procedia Computer Science, Elsevier, Vol. 60, pp. 430-437, 2015.
  • U Mahbub, H Imtiaz, and M Ahad, "Action recognition based on statistical analysis from clustered flow vectors", Signal, Image and Video Processing, Springer, Vol. 8, No. 2, pp. 243-253, 2014.
  • M Ahad, "Smart Approaches for Human Action Recognition", Pattern Recognition Letters, Elsevier, Vol. 34, No. 15, pp. 1769-1770, 2013.
  • Md Atiqur Rahman Ahad Ahad, "Gait analysis: an energy image-based approach", International Journal of Intelligent Computing in Medical Sciences & Image Processing, Taylor & Francis, TSI Press, Vol. 5, No. 1, pp. 81-91, 2013.
  • U Mahbub, H Imtiaz, T Roy, Md. Shafiur Rahman, and M Ahad, "A template matching approach of one-shot-learning gesture recognition", Pattern Recognition Letters, Elsevier, Vol. 34, No. 15, pp. 1780-1788, 2013.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "Motion History Image: Its Variants and Applications", Machine Vision and Applications, Springer, Vol. 23, No. 2, pp. 255-281, 2012.
  • Md. Ahad, "A Novel Randomized Quicksort with a Random Number Generator", Journal of Information Technology and Applications, Vol. 6, No. 1, pp. 13-17, 2012.
  • Md. Ahad, "Hu Moment-based Reduced Feature Vector Analysis for Recognition", DU Journal of Science, 2011.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "Lower-Dimensional Feature Sets for Template-based Motion Recognition Approaches", Journal of Computer Science, Science Publication, Vol. 6, No. 8, pp. 920-927, 2010.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "Analysis of Motion Self-Occlusion Problem for Human Activity Recognition", Journal of Multimedia, Academy Publisher, Vol. 5, No. 1, pp. 36-46, Feb. 2010.
  • Y. Nishina, Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "A Robust Face Tracking Method Employing Color-based Particle Filter", Int. J. of Biomedical Soft Computing and Human Sciences, Vol. 16, No. 1, pp. 127-134, 2010.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "Temporal Motion Recognition and Segmentation Approach", Int. J. of Imaging Systems and Technology (IJIST), Wiley Publications, Vol. 19, No. 2, pp. 91-99, 2009.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "A Complex Motion Recognition Technique Employing Directional Motion Templates", Int. J. of Innovative Computing, Information & Control (IJICIC), Vol. 4, No. 8, pp. 1943-1954, 2008.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "View-based Human Motion Recognition in the Presence of Outliers", Int. Journal of Biomedical Soft Computing and Human Sciences, Vol. 13, No. 1, pp. 71-78, 2008. (Achieved the Best Paper Award)
  • M. Ahad, and S. Hossain, "Route Optimization Technique for Network Mobility (NEMO)", Dhaka University Journal of Science, Vol. 55, No. 2, pp. 277-279, July 2007.
  • Md. Atiqur Rahman Ahad, JK Tan, H Kim, and S Ishikawa, "A DMHI Technique for Human Motion Separation and Recognition", IPSJ SIG Technical Reports, 2007-AVM-58, Information Processing Society Japan (IPSJ), pp. 55-60, Sept. 2007.
  • Md. Atiqur Rahman Ahad, "Optical Interconnection for Digital Systems", Journal of Electronics and Computer Science", Vol. 3, pp. 23-28, June 2002.
  • Md. Atiqur Rahman Ahad, "Use of Photo Voltaic Technique in Rural Electrification: Present Scenario", Journal of Electronics and Computer Science, Vol. 3, pp. 1-6, June, 2002.
  • Md. Atiqur Rahman Ahad, ZH Mahmood, "Study on the Facet Reflectivity of Fabry-Perot Resonator for Optical Communication", Dhaka University Journal of Science, Vol. 49, No. 2, pp. 111-115, July 2001.
  • M.T. Islam, Md. Atiqur Rahman Ahad, et al. "An Approach to Solve Real-time Problem Applying Semaphore", Dhaka University Journal of Science, Vol. 49, No. 2, pp. 117-121, July 2001.
  • Md. Atiqur Rahman Ahad, ZH Mahmood, "A Model to Study the Mirror Reectance of an Optical Resonator", Bangladesh Journal of Science and Technology, 2001. (Ref. No. BJST/ED/180/2000).
  • Md. Atiqur Rahman Ahad and ZH Mahmood, "Laser having Wavelength of 1.3 and 1.55 micrometer for Optical Fiber Communication", Bangladesh Journal of Scientific Research, 2001. (Ref. No. BJSR/ED/04/2001).

Under Revision/Review/...

  • (TH) "Forecasting Thermal Comfort Sensations for Heatstroke Prevention: Leveraging Transfer Learning from Lab to Field"
  • (TH) "Telework vs. Office Work Analysis and Mental Health/Productivity Prediction Using Physiological and Behavioral Data"
  • (A-N) “Complex Nursing Activity Recognition and Nurse Identification: Combining Convolutional Neural Networks and Random Forests”
  • (Z) "Skin disease diagnosis using decision and feature level fusion of deep features",
  • (Zb) "Artificial Intelligence in Elderly Fall Detection: Applications and Challenges"
  • (JR-N) "A Deep Learning Model with Interpretable Squeeze-and-Excitation for Automated Rehabilitation Exercise Assessment"
  • (Z) "View-embedding graph convolutional network for skeleton-based cross-view gait recognition",
  • (N-J) "Rehabilitation Exercise Assessment Using WOA-based Feature Reduction Technique and Analysis of The Features Using SHAP",
  • (I-N) "Towards Automated Assessment in Autism Therapy: A Robot-Enhanced Framework”,
  • (Ch) "Depression Prediction from Various Data Modalities: A Survey",
  • (AA) "Visual Behavior Analysis Between Neuro-typical Children and Children with Autism Spectrum Disorder", Heliyon, Elsevier.
  • (L-J-N) “Clinically Validated Spatio-Spectral Propagation Markers of Schizophrenia based on Hyper-Network Parameterized Explainable Model”,
  • (Z) "Horizontal and vertical part-wise feature extraction for cross-view gait recognition",
  • (2s: AA) "Skeleton-based Activity Analysis towards Stroke Impairment Assessment Set (SIAS) Score Estimation”,
  • (2s: Al.) “An end-to-end Skeleton-based Regressor for Quality Score Assessment of Physical Rehabilitation Activities”,
  • (2s: Z) “Status of gait feature for autism spectrum disorder analysis”,
  • (2s: Sj.) “Challenges in Blockchain as a Solution for IoT Ecosystem’s Threats and Access Control: A Survey”,
  • (2s: Sab.) “An Automated Response Generation System to Standard Job Requirements”,
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Edited Conference Proceedings

  • Proceedings of Joint 2023 10th International Conference on Informatics, Electronics & Vision (ICIEV) & 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR), UK, 2023.
  • Proceedings of Joint 2021 10th International Conference on Informatics, Electronics & Vision (ICIEV) & 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, IEEE, 2021.
  • Proceedings of Joint 2020 9th International Conference on Informatics, Electronics & Vision (ICIEV) & 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, IEEE, 2020.
  • Proceedings of Joint 2019 8th International Conference on Informatics, Electronics & Vision (ICIEV) & 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), USA, IEEE, 2019.
  • Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Japan, IEEE, 2018.
  • 3rd Student Conference on Science & Engineering, Bangladesh, 2018.
  • Proceedings of Joint 2018 7th International Conference on Informatics, Electronics & Vision (ICIEV) & 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, IEEE, 2018.
  • Proceedings of Joint 2017 6th International Conference on Informatics, Electronics & Vision (ICIEV) & 7th International Symposium in Computational Medical and Health Technology (ISCMHT), Japan, IEEE, 2017.
  • Proceedings of Joint 17th World Congress of International Fuzzy Systems Association (IFSA) and 9th International Conference on Soft Computing and Intelligent Systems, 2017.
  • Proceedings of IEEE 2017 International Conference on Imaging, Vision & Pattern Recognition, Bangladesh, IEEE, 2017.
  • 2nd Student Conference on Science & Engineering, Bangladesh, 2016.
  • Proceedings of 2016 5th International Conference on Informatics, Electronics & Vision, Bangladesh, IEEE, 2016.
  • 1st Student Conference on Science & Engineering, Bangladesh, 2015.
  • Proceedings of 2015 4th International Conference on Informatics, Electronics & Vision, Japan, IEEE, 2015.
  • Proceedings of 3rd International Conference on Green Energy & Technology, Bangladesh, IEEE, 2015.
  • Proceedings of 2014 3rd International Conference on Informatics, Electronics & Vision, Bangladesh, IEEE, 2014.
  • Proceedings of 5th International Conference on Environmental Aspects of Bangladesh, Bangladesh, 2014.
  • Proceedings of 2nd International Conference on Green Energy & Technology, Bangladesh, IEEE, 2014.
  • Proceedings of Joint 4th International Conference on Environmental Aspects of Bangladesh; and International Conference on Green Energy & Technology, Japan, 2013.
  • Proceedings of 2013 2nd International Conference on Informatics, Electronics & Vision, Bangladesh, IEEE, 2013.
  • Proceedings of 3rd International Conference on Environmental Aspects of Bangladesh, Japan, 2012.
  • Proceedings of 2012 International Conference on Informatics, Electronics & Vision, Bangladesh, IEEE, 2012.
  • Proceedings of 2nd International Conference on Environmental Aspects of Bangladesh, Japan, 2011.
  • Proceedings of 1st International Conference on Environmental Aspects of Bangladesh, Japan, 2010.
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Proceedings

Selected 5 Conference Papers:

  • Md. Nadim Mahamood, Md. Zasim Uddin, Md. Arif Shahriar, Fady Alnajjar, and Md Atiqur Rahman Ahad, "Sequencer Local and Global Feature Representation of Facial Image for Autism Spectrum Disorder Classification", IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hawaii, USA, 1-4 Oct., 2023. Link
  • Shiqi Yu, Chenye Wang, Yuwei Zhao, Li Wang, Ming Wang, Qing Li, Wenlong Li, Runsheng Wang,Yongzhen Huang, Liang Wang, Yasushi Makihara, and Md Atiqur Rahman Ahad, "Human Identification at a Distance: Challenges, Methods and Results on HID 2023", IEEE International Joint Conference on Biometrics (IJCB 2023), Ljubljana, Slovenia, 25-28 Sept., 2023. Link
  • Md. Mamun Sheikh, Shahera Hossain, and Md Atiqur Rahman Ahad, "Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023. (Achieved WINNER Award - Heatstroke Prevention Challenge 2023) Link
  • Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman Ahad, "Forecasting Parkinson’s Patient’s Wearing-off Periods by Employing Stacked Super Learner", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023. (Achieved 2nd Place Award - Parkinson’s Disease Wearing-off Recognition Challenge 2023) Link
  • Assil Jaby, Md Baharul Islam, and Md Atiqur Rahman Ahad, "ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition", 18th International Conference on Machine Vision Applications, Hamamatsu, Japan, 23–25 July, 2023. Link

Full List of Conference Papers:

[N.B.: All submitted papers are also mentioned below. No dual submission. No submissions without the mentioned lists below.]
  • Afroza Rahman, Miraz Rahman, and Md Atiqur Rahman Ahad, “Bacterial Behaviour Analysis through Image Segmentation using Deep Learning Approaches”, AIiH: International Conference on AI in Healthcare, UK, LNCS, 2024.
  • Mahera R Islam, Anik Mahmud Ferdous, Shahera Hossain, Md Atiqur Rahman Ahad, and Fady Alnajjar, “Optimizing Endotracheal Suctioning Classification: Leveraging Prompt Engineering in Machine Learning for Feature Selection”, 6th International Conference on Activity and Behavior Computing, IEEE, Japan, 2024.
  • Md. Mamun Sheikh, Md. Zasim Uddin, Shahera Hossain, Kamrul Hasan, and Md Atiqur Rahman Ahad, “Towards Improved Nursing Activity Recognition: Exploring Deep Learning with Skeleton Data and Generative AI”, 6th International Conference on Activity and Behavior Computing, Position Paper, Japan, 2024.
  • Mainul Islam Labib, Md. Johir Raihan, Md Atiqur Rahman Ahad, and Abdullah-Al Nahid, “Extraction of Clinically Validated Spatio-Spectral Propagation Markers of Schizophrenia using a Hyper-Network parameterized Explainable Model”, 11th International Conference on Informatics, Electronics & Vision (ICIEV), & 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR), London, UK, 26-28 Oct., 2023. (Achieved Excellent Paper Award - 1)
  • Manpreet Kaur and Md Atiqur Rahman Ahad, “A Method for Forecasting Thermal Comfort Sensations from Physiological Data”, 11th International Conference on Informatics, Electronics & Vision (ICIEV), & 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR), Work-in-Progress Paper, London, UK, 26-28 Oct., 2023.
  • Jigar P Patel and Md Atiqur Rahman Ahad, “Personal Thermal Comfort Forecasting for Heat Stroke Prevention using Machine Learning”, 11th International Conference on Informatics, Electronics & Vision (ICIEV) & 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR), Work-in-Progress Paper, London, UK, 26-28 Oct., 2023.
  • Hassan Imani, Md Baharul Islam, and Md Atiqur Rahman Ahad, "Unsupervised Stereoscopic Video Style Transfer", 2023 Innovations in Intelligent Systems and Applications Conference (ASYU), Sivas, Turkiye, 11-13 Oct., 2023.
  • Md. Nadim Mahamood, Md. Zasim Uddin, Md. Arif Shahriar, Fady Alnajjar, and Md Atiqur Rahman Ahad, "Sequencer Local and Global Feature Representation of Facial Image for Autism Spectrum Disorder Classification", IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hawaii, USA, 1-4 Oct., 2023.
  • Shiqi Yu, Chenye Wang, Yuwei Zhao, Li Wang, Ming Wang, Qing Li, Wenlong Li, Runsheng Wang,Yongzhen Huang, Liang Wang, Yasushi Makihara, and Md Atiqur Rahman Ahad, "Human Identification at a Distance: Challenges, Methods and Results on HID 2023", IEEE International Joint Conference on Biometrics (IJCB 2023), Ljubljana, Slovenia, 25-28 Sept., 2023.
  • Md. Mamun Sheikh, Shahera Hossain, and Md Atiqur Rahman Ahad, "Predictive Modeling for Heatstroke Risk Forecasting Integrating Physiological Features Using Ensemble Classifier", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023. (Achieved WINNER Award - Heatstroke Prevention Challenge 2023)
  • Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman Ahad, "Forecasting Parkinson’s Patient’s Wearing-off Periods by Employing Stacked Super Learner", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023. (Achieved 2nd Place Award - Parkinson’s Disease Wearing-off Recognition Challenge 2023)
  • Md Imran Hosen, Abdullah Nazhat Abdullah Abdullah, Tarkan Aydin, Md Atiqur Rahman Ahad, and Md Baharul Islam, "Predicting Heatstroke Risk and Preventing Health Complications Using Machine Learning and Physiological Data", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023.
  • Iqbal Hassan, Shahera Hossain, and Md Atiqur Rahman Ahad, "Clustering-based Feature Selection and Stacked Generalization Method to Offset Imbalanced Data for Thermal Stress Assessment", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023. (Achieved 3rd Place Award - Heatstroke Prevention Challenge 2023)
  • Afroza Rahman, Md Ibrahim Mamun, Shahera Hossain, and Md Atiqur Rahman Ahad, "Analysis of Personal Thermal State using Machine Learning Algorithms to Prevent Heatstroke", 5th Int. Conf. on Activity and Behavior Computing, DFKI, Germany, 7-9 Sept. 2023.
  • Assil Jaby, Md Baharul Islam, and Md Atiqur Rahman Ahad, "ASD-EVNet: An Ensemble Vision Network based on Facial Expression for Autism Spectrum Disorder Recognition", 18th International Conference on Machine Vision Applications, Hamamatsu, Japan, 23–25 July, 2023.
  • Iqbal Hassan, Nazmun Nahid, Minhajul Islam, Shahera Hossain, and Md Atiqur Rahman Ahad, "Autism Therapy with Robots Utilizing 3D Biomarkers and Gaze Saliency Maps Generated from Sensor Response", [extended abstract], IEEE Computer Society Bangladesh Chapter Summer Symposium (IEEE CS BDC SS), Kushtia, Bangladesh, 9-10 June, 2023.
  • Md. Johir Raihan, Md Atiqur Rahman Ahad, and Abdullah-Al Nahid, "Assessing The Rehabilitation Exercise Using GWO Optimized CNN-SE Network and Interpretation of The Model Using SHAP", [extended abstract], IEEE Computer Society Bangladesh Chapter Summer Symposium (IEEE CS BDC SS), Kushtia, Bangladesh, 9-10 June, 2023.
  • Mainul Islam Labib, Abdullah-al Nahid, and Md Atiqur Rahman Ahad, "TwinPeaks: Inference of EEG Derived Nodal Trajectories in PTSD Patients using Deep Knowledge Distillation", [extended abstract], IEEE Computer Society Bangladesh Chapter Summer Symposium (IEEE CS BDC SS), Kushtia, Bangladesh, 9-10 June, 2023.
  • Iqbal Hassan, Minhajul Islam, N. Nahid, S. Hossain, and Md Atiqur Rahman Ahad, "Sensor-based Severity Estimation of Autism Spectrum Disorder to Aid Robot-enhanced Therapy", BMFSA2022, Hyogo, Japan, Dec. 2022.
  • Arezoo Sadeghzadeh, Md. Baharul Islam, and Md Atiqur Rahman Ahad, "Static Sign Language Recognition Using Segmented Images and HOG on Cluttered Backgrounds", 4th International Conference on Activity and Behavior Computing, 27-29 Oct., 2022. (Achieved BEST Paper Award)
  • N. Nahid, X. Min, Md Atiqur Rahman Ahad, and S. Inoue, "Psychological Analysis in Human-Robot Collaboration from Workplace Stress Factors: A Review", 4th International Conference on Activity and Behavior Computing, 27-29 Oct., 2022.
  • Md. Sohanur Rahman, Hasib Ryan Rahman, Abrar Zarif, Yeasin Arafat Pritom, and Md Atiqur Rahman Ahad, "Nurse Activity Recognition based on Temporal Frequency Features", 4th International Conference on Activity and Behavior Computing, 27-29 Oct., 2022.
  • M.M. Sheikh, S. Hossain, and Md Atiqur Rahman Ahad, "A Sequential-based Analytical Approach for Nurse Care Activity Forecasting", 4th International Conference on Activity and Behavior Computing, 27-29 Oct., 2022.
  • Iqbal Hassan, Minhajul Islam, N. Nahid, S. Hossain, and Md Atiqur Rahman Ahad, "A Framework for Estimating Autism Spectrum Disorder Severity by Incorporating Physiological Markers to Aid in Robot Enhanced Intervention Therapy", [Position Paper], 4th International Conference on Activity and Behavior Computing, 27-29 Oct., 2022.
  • Shiqi Yu, Yongzhen Huang, Liang Wang, Yasushi Makihara, Shengjin Wang, Md Atiqur Rahman Ahad, and Mark Nixon, "HID 2022: The 3rd International Competition on Human Identification at a Distance", 2022 IEEE/IAPR International Joint Conference on Biometrics (IJCB 2022), 10-13 Oct., 2022.
  • Arafat Rahman, Nazmun Nahid, Md Atiqur Rahman Ahad, "A Concurrent Method for Complex Nursing Activity Recognition and Nurse Identification", [extended abstract], IEEE CS BDC Summer Symposium 2022, IEEE Computer Society Bangladesh Chapter, 10-11 June, 2022.
  • Safaeid Hossain Arib, Rabeya Akter, Omar Shahid, and Md Atiqur Rahman Ahad, "Classical Machine Learning Approach for Human Activity Recognition Using Location Data", [extended abstract], IEEE CS BDC Summer Symposium 2022, IEEE Computer Society Bangladesh Chapter, 10-11 June, 2022.
  • Iqbal Hassan, Minhajul Islam Ashik, Nazmun Nahid, and Md Atiqur Rahman Ahad, "Autism: A Study on Human Therapy vs. Robot-based Therapy", [extended abstract], IEEE CS BDC Summer Symposium 2022, IEEE Computer Society Bangladesh Chapter, 10-11 June, 2022.
  • Promit Basak, A.H.M Nazmus Sakib, Shahamat Mustavi Tasin, Syed Doha Uddin, and Md Atiqur Rahman Ahad, "Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?", in Sensor- and Video-based Activity and Behavior Computing, 3rd Int. Conf. on Activity and Behavior Computing, Springer Nature Switzerland AG, pp. 167-180, 2022. (Achieved WINNER Award)
  • Yeasin Arafat Pritom, Md. Sohanur Rahman, Hasib Ryan Rahman, M. Ashikuzzaman Kowshik, and Md Atiqur Rahman Ahad, "Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features", in Sensor- and Video-based Activity and Behavior Computing, 3rd Int. Conf. on Activity and Behavior Computing, Springer Nature Switzerland AG, pp. 193-205, 2022. (Achieved 1st Runner-up Award)
  • Adrita Anwar, Malisha Islam Tapotee, Purnata Saha, and Md Atiqur Rahman Ahad, "Identification of Food Packaging Activity Using MoCap Sensor Data", in Sensor- and Video-based Activity and Behavior Computing, 3rd Int. Conf. on Activity and Behavior Computing, Springer Nature Switzerland AG, pp. 181-191, 2022. (Achieved 2nd Runner-up Award)
  • Faizul Rakib Sayem, Md. Mamun Sheikh, and Md Atiqur Rahman Ahad, "Bento Packaging Activity Recognition Based on Statistical Features", in Sensor- and Video-based Activity and Behavior Computing, 3rd Int. Conf. on Activity and Behavior Computing, Springer Nature Switzerland AG, pp. 207-216, 2022.
  • Purnata Saha, Malisha Islam Tapotee, and Md Atiqur Rahman Ahad, "Task Detection of ASD Children by Analyzing Robotic Enhanced and Standard Human Therapy", 13th International Conference on Mobile Computing and Ubiquitous Networking (iCMU), Japan, 17-19 Nov. 2021.
  • Purnata Saha, Md. Morshed Alam, Sriman Bidhan Baray, Malisha Islam Tapotee, and Md Atiqur Rahman Ahad, "Location Dependent Human Locomotion and Transportation Detection Using an Empirical Approach", IEEE Computer Society BDC Winter Symposium, 13-14 Nov. 2021. (Achieved 2nd Best Paper Award)
  • Adrita Anwar, Malisha Islam Tapotee, Purnata Saha, and Md Atiqur Rahman Ahad, "Food Packaging Activity Recognition Using MoCap Data", IEEE Computer Society BDC Winter Symposium, 13-14 Nov. 2021.
  • Arafat Rahman, Md Atiqur Rahman Ahad, and Iqbal Hassan, "Nurse Care Activity Recognition App for Healthcare Application", IEEE Computer Society BDC Winter Symposium, 13-14 Nov. 2021.
  • Yeasin Arafat Pritom, Md. Sohanur Rahman, Hasib Ryan Rahman, M. Ashikuzzaman Kowshik, and Md Atiqur Rahman Ahad, "Food Packaging Activity Recognition using Handcrafted Features:, IEEE Computer Society BDC Winter Symposium, 13-14 Nov. 2021.
  • Anindya Das Antar, Masud Ahmed, and Md Atiqur Rahman Ahad, "Recognizing Human Actions Utilizing Relative Velocity of Skeleton Joints through Statistical Features", as Work-in-Progress paper in 3rd Int. Conf. on Activity and Behavior Computing, 2021. (Achieved Work-in-Progress Award)
  • Faizul Rakib Sayem, Md. Mamun Sheikh, and Md Atiqur Rahman Ahad, "A Method for Action Quality Analysis from Skeleton Data of Rehabilitation Exercises", as Work-in-Progress paper in 3rd Int. Conf. on Activity and Behavior Computing, 2021.
  • Faizul Rakib Sayem, Md. Mamun Sheikh, and Md Atiqur Rahman Ahad, "Feature-based Method for Nurse Care Complex Activity Recognition from Accelerometer Sensor", ACM UbiComp adjunct, 2021. (Achieved WINNER Award)
  • M. Ashikuzzaman Kowshik, Ali Akbar, Yeasin Arafat Pritom, Md. Sohanur Rahman, and Md Atiqur Rahman Ahad, "Nurse Care Activity Recognition from Sensor Data Using Fourier- and Wavelet-based Features", ACM UbiComp adjunct, 2021. (Achieved RUNNER-UP Award)
  • Safaeid Hossain Arib, Rabeya Akter, Omar Shahid, and Md Atiqur Rahman Ahad, "Classical Machine Learning Approach for Human Activity Recognition Using Location Data", ACM UbiComp adjunct, 2021.
  • Promit Basak, Shahamat Mustavi Tasin, A.H.M. Nazmus Sakib, Syed Doha Uddin, and Md Atiqur Rahman Ahad, "A Windowless Approach to Recognize Various Modes of Locomotion and Transportation", ACM UbiComp adjunct, 2021.
  • Purnata Saha, Md. Morshed Alam, Malisha Islam Tapotee, Sriman Bidhan Baray, and Md Atiqur Rahman Ahad, "An Empirical Approach for Human Locomotion and Transportation Recognition from Radio Data", ACM UbiComp adjunct, 2021. (Achieved 2nd Place Award)
  • Arafat Rahman, Iqbal Hassan, and Md Atiqur Rahman Ahad, "Nurse Care Activity Recognition: A Cost-Sensitive Ensemble Approach to Handle Imbalanced Class Problem in the Wild", ACM UbiComp adjunct, 2021.
  • Md. Johir Raihan, Md Atiqur Rahman Ahad, and Abdullah-Al Nahid, "Automated Rehabilitation Exercise Assessment by Genetic Algorithm-optimized CNN", Joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and 10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan, Aug. 2021. (Achieved Best Paper Award (Gold))
  • Md Ahasan Atick Faisal, Mosabber Uddin Ahmed, and Md Atiqur Rahman Ahad, "ESLCE: A Dataset of Emotional Sounds from Large Crowd Events", Joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and 10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan, Aug. 2021.
  • Md. Mamun Sheikh, Faizul Sayem, and Md Atiqur Rahman Ahad, "A Residual Network with Focal Loss to Handle Class-imbalance Problem on Nurse Care Activity Recognition", Joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and 10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan, Aug. 2021. (Achieved Best Paper Award (Bronze))
  • Niloy Sikder, Md Atiqur Rahman Ahad, and Abdullah-Al Nahid, "Human Action Recognition Based on a Sequential Deep Learning Model", Joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and 10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan, Aug. 2021.
  • Faizul Sayem, Md. Mamun Sheikh, and Md Atiqur Rahman Ahad, "A Method for Action Quality Analysis from Skeleton Data of Rehabilitation Exercises", [Work-in-Progress] in Joint 2021 5th International Conference on Imaging, Vision & Pattern Recognition (IVPR) and 10th International Conference on Informatics, Electronics & Vision (ICIEV), Japan, Aug. 2021.
  • Shiqi Yu, Yongzhen Huang, Liang Wang, Yasushi Makihara, Edel B. Garcia Reyes, Feng Zheng, Md Atiqur Rahman Ahad, Beibei Lin, Yuchao Yang, Haijun Xiong, Binyuan Huang, and Yuxuan Zhang, "HID 2021: Competition on Human Identification at a Distance 2021", International Joint Conference on Biometrics (IJCB 2021), China, Aug. 2021.
  • Muiz Ahmed Khan, Mahmudur Rashid, S.M. Abdul Ahad, Pias Paul, Mainul Hossain, and Md Atiqur Rahman Ahad, "Vision-based Visual Aid and Reading Assistant for Blind", [extended abstract] National Workshop on Big Data and Machine Learning (BDML 2020), 9-10 Dec. 2020. (Achieved 3rd Best Paper Award)
  • Amirul Karim Tanim, K M Talha Nahiyan, and Md Atiqur Rahman Ahad, "Classification of Hand-Finger Movements Based on Single-channel Acoustic Myography System", [extended abstract] National Workshop on Big Data and Machine Learning (BDML 2020), 9-10 Dec. 2020.
  • Arafat Rahman, Nazmun Nahid, and Md Atiqur Rahman Ahad, "Nurse Care Activity Recognition with Imbalanced Class Problem", [extended abstract] National Workshop on Big Data and Machine Learning (BDML 2020), 9-10 Dec. 2020.
  • Promit Basak, Malisha Islam Tapotee, Shahamat Mustavi Tasin, A.H.M. Nazmus Sakib, Sriman Bidhan Baray, Md. Mamun Sheikh, and Md Atiqur Rahman Ahad, "Statistical Feature-based Complex Nurse Care Activity Analysis", [extended abstract] National Workshop on Big Data and Machine Learning (BDML 2020), 9-10 Dec. 2020.
  • Amirul Karim Tanim, KM Talha Nahiyan, and Md Atiqur Rahman Ahad, "Single-channel Acoustic Myography to Classify Hand-Finger Movements", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020. (Achieved 2nd Best Paper Award)
  • Sriman Bidhan Baray, Md. Morshed Alam, and Md Atiqur Rahman Ahad, "AI-based Approach for Vehicle Recognition on Challenging Scenes", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Md. Sadman Siraj and Md Atiqur Rahman Ahad, "Pairwise Similar Activities Recognition using Hybrid Deep Learning", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Nazmun Nahid, Arafat Rahman, and Md Atiqur Rahman Ahad, "Deep Learning Based Surface EMG Hand Gesture Classiffication for Low-Cost Myoelectric Prosthetic Hand", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Md. Sadman Siraj, Md. Ahasan Faisal, Omar Shahid, Farhan Fuad, Tahera Hossain, Sozo Inoue, and Md Atiqur Rahman Ahad, "Locomotion and Transportation Modes Recognition Using Smart Feature Based Machine Learning", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Promit Basak, Shahamat Mustavi Tasin, Malisha Islam Tapotee, Md. Mamun Sheikh, A.H.M. Nazmus Sakib, Sriman Bidhan Baray, and Md Atiqur Rahman Ahad, "Statistical Feature-based Complex Nurse Care Activity Recognition", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Md. Sadman Siraj, Omar Shahid, and Md Atiqur Rahman Ahad, "A Deep Convolutional GRU Based Approach for Cooking Activity Recognition", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Md. Ahasan Faisal, Md. Sadman Siraj, Md. Tahmeed Abdullah, Omar Shahid, Farhan Fuad, and Md Atiqur Rahman Ahad, "Nurse Care Activity Recognition based on Signal Processing and Machine Learning Approaches", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Arafat Rahman, Nazmun Nahid, Iqbal Hassan, and Md Atiqur Rahman Ahad, "Nurse Care Ac- tivity Recognition: Using Random Forest to Handle Imbalanced Class Problem", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Md. Mamun Sheikh, Faizul Rakib Sayem, and Md Atiqur Rahman Ahad, "A Study on Skeleton Joint-based Features for Action Recognition", [extended abstract] IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • Promit Basak, Md. Mamun Sheikh, Shahamat Mustavi Tasin, A.H.M. Nazmus Sakib, Malisha Islam Tapotee, Sriman Bidhan Baray, and Md Atiqur Rahman Ahad, "Complex Nurse Care Activity Recognition Using Statistical Features", 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20Adjunct), Mexico, Sept. 2020. (Achieved 2nd Place Award)
  • Arafat Rahman, Nazmun Nahid, Iqbal Hasan, and Md Atiqur Rahman Ahad, "Nurse Care Activity Recognition: Using Random Forest to Handle Imbalanced Class Problem", 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20Adjunct), Mexico, Sept. 2020. (Achieved 3rd Place Award)
  • Md. Sadman Siraj, Md. Ahasan Atick Faisal, Omar Shahid, Farhan Fuad Abir, Tahera Hossain, Sozo Inoue, and M.A R. Ahad, "UPIC: User and Position Independent Classical Approach for Locomotion and Transportation Modes Recognition", 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20Adjunct), Mexico, 2020.
  • Md. Ahasan Atick Faisal, Md. Sadman Siraj, Md. Tahmeed Abdullah, Omar Shahid, Farhan Fuad Abir, and M. A. R. Ahad, "A Pragmatic Signal Processing Approach for Nurse Care Activity Recognition using Classical Machine Learning", 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20Adjunct), Mexico, Sept. 2020.
  • Nazmun Nahid, Arafat Rahman, and MAR Ahad, "Deep Learning Based Surface EMG Hand Gesture Classification for Low-Cost Myoelectric Prosthetic Hand", 4th Int. Conf. on Imaging, Vision and Pattern Recognition, Japan, 2020. (Achieved Excellent Paper Award)
  • Md. Sadman Siraj and MAR Ahad, "A Hybrid Deep Learning Framework using CNN and GRU-based RNN for Recognition of Pairwise Similar Activities", 4th Int. Conf. on Imaging, Vision and Pattern Recognition, Japan, 2020.
  • Amirul Karim Tanim, K M Talha Nahiyan, and MAR Ahad, "Suitability of Single-channel Acoustic Myography for Classification of Individual Finger Movements", 9th Int. Conf. on Informatics, Electronics & Vision, Japan, 2020. (Achieved Excellent Paper Award)
  • Md Shafiqul Islam, Tahera Hossain, M.A.R. Ahad, and Sozo Inoue, "Exploring Human Activity by Using eSense Earable Device", 2nd Int. Conf. on Activity and Bheavior Computing (ABC), Japan, 2020.
  • Md. Sadman Siraj, Omar Ibne Shahid, and M.A.R. Ahad, "Cooking Activity Recognition with Varying Sampling Rates using Deep Convolutional GRU Framework", Cooking Challenge, at 2nd Int. Conf. on Activity and Bheavior Computing (ABC), Japan, 2020.
  • Amirul Karim Tanim, K M Talha Nahiyan, Md Atiqur Rahman Ahad, "Suitable Sensor Location and Finger Combinations for Classification of Finger Movements from Acoustic Myogram", [Extended Abstract] International Conference on Physics in Medicine (ICPM-2020), Feb. 2020.
  • MZ Uddin, D Muramatsu, N Takemura, MAR Ahad, and Y Yagi, "Spatio-temporal Silhouette Sequence Reconstruction for Gait Recognition against Occlusion", [extended abstract] 23rd SANKEN International Symposium on Scientific and Industrial Research for Space Age, Japan, Jan. 2020.
  • Masud Ahmed, Anindya Das Antar, Tahera Hossain, Sozo Inoue, and Md Atiqur Rahman Ahad, "POIDEN: Position and Orientation Independent Deep Ensemble Network for the Classification of Locomotion and Transportation Modes", ACM UbiComp/ISWC Adjunct, 2019.
  • Swapnil Sayan Saha, Shafizur Rahman, Zarin Rezwana Ridita Haque, Tahera Hossain, Sozo Inoue, and Md Atiqur Rahman Ahad, "Position Independent Activity Recognition Using Shallow Neural Architecture and Empirical Modeling", ACM UbiComp/ISWC Adjunct, 2019.
  • Tahera Hossain, Md Shafiqul Islam, Md Atiqur Rahman Ahad, and Sozo Inoue, "Human Activity Recognition using Earable Device", ACM UbiComp/ISWC Adjunct, 2019.
  • A. Elkholy, Y. Makihara, W. Gomaa, Md Atiqur Rahman Ahad, Y. Yagi, "Unsupervised GEI-Based Gait Disorders Detection From Different Views", 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'19), Germany, 2019.
  • Md Atiqur Rahman Ahad, Anindya Das Antar, and Omar Shahid, "Vision-based Action Understanding for Assistive Healthcare: A Short Review", The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, USA, pp. 1-11, 2019.
  • Thanh Trung Ngo, Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi, Sozo Inoue, Tahera Hossain, Yuichi Hattori, "OU-ISIR Wearable Sensor-based Gait Challenge: Age and Gender", 12th IAPR Intl. Conf. on Biometrics (ICB), Greece, 2019.
  • Masud Ahmed, Anindya Das Antar, and Md. Atiqur Rahman Ahad, "An Approach to Classify Human Activities in Real-time from Smartphone Sensor Data", Intl. Conf. on Activity and Behavior Computing (ABC), USA, 2019.
  • Anindya Das Antar, Masud Ahmed, and Md Atiqur Rahman Ahad, "Challenges in Sensor-based Human Activity Recognition and a Comparative Analysis of Benchmark Datasets: A Review", Intl. Conf. on Activity and Behavior Computing (ABC), USA, 2019.
  • Walid B. Habib, Tasnova E. Bipasha, and Md Atiqur Rahman Ahad, "Prospects of Solar Home Systems in Developing Countries", Student Conference on Electronics, Informatics & Vision (SCIEV), USA, 2019.
  • M Ahad and Talal bin Noman, "Eye-Blink Detection on Mobile Phone", [extended abstract] International Workshop on Robust Computer Vision 2019 (IWRCV2019), China, 2019.
  • Tahera Hossain, MAR Ahad, T Tazin, and S Inoue, "Activity Recognition by using LoRaWAN Sensor", 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018. (Achieved Best Poster Paper Award).
  • Anindya Das Antar, Masud Ahmed, Mohammad Shadman Ishrak, and MAR Ahad, "A Comparative Approach to Classification of Locomotion and Transportation Modes Using Smartphone Sensor Data", 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018. (Achieved Award in the Sussex-Huawei Locomotion (SHL) Challenge).
  • SS Sha, Shafizur Rahman, MJ Rasna, T Hossain, S Inoue, and MAR Ahad, "Supervised and Neural Classifiers for Locomotion Analysis", 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018.
  • Tahera Hossain, T Tazin, MAR Ahad, and S Inoue, "Study of LoRaWAN Technology for Activity Recognition", 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018.
  • MAR Ahad, "Activity Recognition for Health-care and Related Works", 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018.
  • Tahera Hossain, H Goto, Md Atiqur Rahman Ahad, and S Inoue, "A Study on Sensor-based Activity Recognition Having Missing Data", Joint 7th Int'l Conf. on Informatics, Electronics & Vision, & 2nd Int'l Conf. on Imaging, Vision & Pattern Recognition, Japan, 2018. (Achieved Best Paper Award).
  • Kanij Mehtanin Khabir, Md. Sadman Siraj, Md Ahsan Habib, Tahera Hossain, and Md Atiqur Rahman Ahad, "A Study on DSR Routing Protocol in Adhoc Network for Daily Activities of Elderly Living", Joint 7th Int'l Conf. on Informatics, Electronics & Vision, & 2nd Int'l Conf. on Imaging, Vision & Pattern Recognition, Japan, 2018.
  • Swapnil Sayan Saha, Shafizur Rahman, Miftahul Jannat Rasna, A.K.M. Mahfuzul Islam, and Md Atiqur Rahman Ahad, "DU-MD: An Open-Source Human Action Dataset for Ubiquitous Wearable Sensors", Joint 7th Int'l Conf. on Informatics, Electronics & Vision, & 2nd Int'l Conf. on Imaging, Vision & Pattern Recognition, Japan, 2018. (Achieved Best Paper Award Candidate).
  • Anindya Das Antar, Masud Ahmed, and Md Atiqur Rahman Ahad, "A Survey on Sensor-based Human Activity Recognition and Analysis of Benchmark Datasets", Student Conference on Informatics, Electronics & Vision (SCIEV), along with 7th ICIEV & 2nd IVPR, Japan, 2018.
  • Sujay Saha, Shadman Saquib Abir, and Md Atiqur Rahman Ahad, "A study on IoT-based Medical Healthcare and Smart Home System", Student Conference on Informatics, Electronics & Vision (SCIEV), along with 7th ICIEV & 2nd IVPR, Japan, 2018.
  • Nafis Irtija, Mahsius Sami, and Md Atiqur Rahman Ahad, "Fatigue Detection Using Facial Landmarks", 4th Int. Symposium on Affective Science and Engineering, and the 29th Modern Artificial Intelligence and Cognitive Science Conference (ISASE-MAICS), WA, USA, 2018.
  • Uzma Haque Syeda, Ziaul Zafar, Zishan Zahidul Islam, Syed Mahir Tazwar, Miftahul Jannat Rasna, Koichi Kise, and Md. Atiqur Rahman Ahad, "Visual face scanning and emotion perception analysis between Autistic and Typically Developing children", ACM UbiComp Workshop on Mental Health and Well-being: Sensing and Intervention, Hawaii, USA, 2017.
  • Zishan Zahidul Islam, Syed Mahir Tazwar, Md. Zahidul Islam, Seiichi Serikawa, and Md. Atiqur Rahman Ahad, "Automatic Fall Detection System of Unsupervised Elderly People Using Smartphone", 5th IIAE International Conference on Intelligent Systems and Image Processing, Hawaii, USA, 2017.
  • Impact of Angular Spread on Massive MIMO Channel Estimation, 18th ICCIT, 2016.
  • Effect of Exponential Correlation Model on Channel Estimation for Massive MIMO, 18th ICCIT, 2016.
  • Performance Evaluation of a Two-Stage Clustering Technique for Time-Series Data, 5th Int Conf on Informatics, Electronics & Vision, May 2016.
  • FS Mahin, MN Islam, G Schaefer, and Md. Atiqur Rahman Ahad, "A Simple Approach for Abandoned Object Detection", The 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV), Las Vegas, USA, pp. 427-430, 27-30 July, 2015.
  • N Sakib and M Ahad, "Enhanced Absorption of Solar Energy in Elliptical GaAs Nanowire Array Solar Cells", 4th Int. Conf. on Informatics, Electronics & Vision, Japan, 2015 (Achieved Best Student Paper Award).
  • A Kalyaev, I Korovin, M Khisamutdinov, G Schaefer, and M Ahad, "A Hardware Approach for Organisation of Software Defined Network Switches based on FPGA", 4th Int. Conf. on Informatics, Electronics & Vision, Japan, 2015.
  • AK Jha, A Kumar, G Schaefer, and M Ahad, "An Adaptive Distance-based Edge Preserving Interpolation Algorithm for Natural Images", 4th Int. Conf. on Informatics, Electronics & Vision, Japan, 2015.
  • A Kalyaev, I Korovin, M Khisamutdinov, G Schaefer, and M Ahad, "A Novel Method of Organisation of a Software DefinedNetwork Control System", 4th Int. Conf. on Informatics, Electronics & Vision, Japan, 2015.
  • Md. Atiqur Rahman Ahad, "Datasets for Action, Gesture and Activity Analysis", 2nd Int. Conf. on Intelligent Systems and Image Processing, Japan, 2014.
  • Md. Zahidul Islam, Raufar Shameem, Anindita Mashsharat Naziba, Md. Fazley Rafy, Md. Shakil Pervej, and Md. Atiqur Rahman Ahad, "A Study of Solar Home System in Bangladesh: Current Status, Future Prospect and Constraints", 2nd IEEE Int. Conf. on Green Energy & Technology (ICGET), Bangladesh, 2014.
  • Md. Talal Bin Noman and Md. Atiqur Rahman Ahad, "Easy-Bill: An Mobile Application Program for Users to Pay Various Bills", National Conference on Electronics for Digital Society, organized by Bangladesh Electronics Society, Bangladesh, June 2014.
  • Indorjit Sarkar and Md. Atiqur Rahman Ahad, "Human Action Recognition Using Motion History Image in the presence of Camera Jitter", National Conference on Electronics for Digital Society, organized by Bangladesh Electronics Society, Bangladesh, June 2014.
  • K.A.Ghany, G. Hassan, A.E. Hassanien, H. Hefny, G. Schaefer, and Md. Atiqur Rahman Ahad, "A Hybrid Biometric Approach Embedding DNA Data in Fingerprint Images", 3rd IEEE Int. Conf. on Informatics, Electronics & Vision, 2014.
  • S. Aly, H. Elshazly, A. Ali, H. Hussein, A.E. Hassanien, G. Schaefer, and Md. Atiqur Rahman Ahad, "Molecular Classification of Newcastle Disease Virus Based on Degree of Virulence", 3rd IEEE Int. Conf. on Informatics, Electronics & Vision, 2014.
  • Moin Atique and Md. Atiqur Rahman Ahad, "Inverse Kinematics Solution for a 3DOF Robotic Structure using Denavit-Hartenberg Convention", 3rd IEEE Int. Conf. on Informatics, Electronics & Vision, 2014.
  • A. Jha, A. Kumar, G. Schaefer, and Md. Atiqur Rahman Ahad, "An Efficient Edge Preserving Image Interpolation Algorithm", 3rd IEEE Int. Conf. on Informatics, Electronics & Vision, 2014.
  • H.M. Elahi, Didar Islam, Imtiaz Ahmed, Syoji Kobashi, and Md. Atiqur Rahman Ahad, "Webcam-based Accurate Eye-central Localization", IEEE International Conference on Robot, Vision and Signal Processing, pp. 47-50, Dec. 2013.
  • H. Imtiaz, U. Mahbub, G. Schaefer, and Md. Atiqur Rahman Ahad, "A Multi-resolution Action Recognition Algorithm using Wavelet Domain Features", IAPR Asian Conference on Pattern Recognition (ACPR2013), Nov. 2013.
  • Temporal Segmentation of Gestures Using Gradient Orientation of Depth Images. Intl. Conf. on Informatics, Electronics & Vision, May 2013.
  • One-Shot-Learning Gesture Recognition Using Motion History Based Gesture Silhouettes. Intl. Conf. on Industrial Application Engineering (ICIAE), Japan, Mar. 2013 (Achieved Best Presentation Award).
  • Gesture Recognition with Depth Image - A Simple Approach. SICE Annual Conference, Japan, pp. 1723-1728, Aug. 2012.
  • Motion Clustering-based Action Recognition Technique Using Optical Flow. International Conference on Informatics, Electronics and Vision (ICIEV), Bangladesh, pp. 919-924, May 2012.
  • An Optical Flow-based Approach for Action Recognition, 14th International Conference on Computer and Information Technology. Bangladesh, 2011 (Achieved Best Paper Award).
  • Action Dataset - A Survey. SICE Annual Conference, Japan, Sept. 2011.
  • Improved Approach for Action Recognition based on Local and Global Features. SICE Annual Conference, Japan, Sept. 2011.
  • Action Recognition Algorithm Based on Optical Flow and RANSAC in Frequency Domain. SICE Annual Conference, Japan, Sept. 2011.
  • SURF- and Optical Flow-based Action Recognition with Outlier Management. IEEE Computer Vision and Pattern Recognition (CVPR) workshop on Gesture Recognition, USA, June 2011.
  • An Optical Flow-based Action Recognition Algorithm. IEEE Computer Vision and Pattern Recognition (CVPR) workshop on Gesture Recognition, USA, June 2011.
  • SURF-based Spatio-Temporal History Image Method for Action Representation. IEEE Int. Conf. on Industrial Technology (ICIT), USA, Mar. 2011.
  • Approaches for Global-based Action Representations for Games and Action Understanding. IEEE Conf. on Automatic Face and Gesture Recognition workshop (FGw-ECAG), USA, Mar. 2011.
  • Action Recognition by Employing Combined Directional Motion History and Energy Images. IEEE Conf. on Computer Vision and Pattern Recognition workshop (CVPRw-CVCG), USA, Jun. 2010.
  • Reduced Feature Vector Analysis for Motion Recognition. Int. Symposium on Robotics and Intelligent Sensors (IRIS), pp. 315-320, Japan, Mar. 2010.
  • Human Behavior Analysis with Optical Flow and Median-filtered Temporal Motion Segmentation Method. 15th Int. Symposium on Artificial Life and Robotics (AROB), pp. 1022-1025, Japan, Feb. 2010.
  • Human Activity Analysis: Concentrating on Motion History Image and Its Variants. SICE-ICASE Joint Annual Conf., Japan, Aug. 2009.
  • Action Recognition with Various Speeds and timed-DMHI Feature Vectors. Int. Conf. on Computer and Info Tech (ICCIT), Bangladesh, pp. 213-218, Dec. 2008.
  • Solutions to Motion Self-Occlusion Problem in Human Activity Analysis. Int. Conf. on Computer and Info Tech (ICCIT), Bangladesh, pp. 201-206, Dec. 2008.
  • Directional Motion History Templates for Low Resolution Motion Recognition. 34th Annual Conf. IEEE Industrial Electronics Society (IECON), Florida, USA, pp. 1875-1880, Nov. 2008.
  • Template-based Human Motion Recognition for Complex Activities. IEEE Int. Conf. on Systems, Man, Cybernetics (SMC), Singapore, pp. 673-678, Oct. 2008.
  • Human Activity Recognition: Various Paradigms. Int. Conf. on Control, Automation and Systems (ICCAS), Seoul, Korea, pp. 1896-1901, Oct. 2008.
  • Motion Recognition Approach to Solve Overwriting in Complex Actions. IEEE Int. Conf. Automatic Face and Gesture Recognition (FG), Amsterdam, The Netherland, pp. 1-6, Sept. 2008.
  • A Simple Real-time Approach for Action Separation into Action Primitives. British Machine Vision Conference (BMVC) Workshop on Tracking Human for the Evaluation of Their Motion in Image Sequences, Leeds, UK, pp. 69-78, Sept. 2008.
  • Face Tracking Employing Color-based Particle Filter. SCIS-ISIS, Nagoya, Japan, Sept. 2008.
  • Moment-based Human Motion Recognition from the Representation of DMHI Templates. SICE Annual Conf., Japan, pp. 578-583, Aug. 2008.
  • Complex Motion Separation and Recognition Using Directional Motion Templates. 12th Int. Workshop on Combinatorial Image Analysis (IWCIA), Buffalo, NY, pp. 73-82, April 2008. (Achieved Best Student Paper Award)
  • Comparative Analysis Between Two View-based Methods: MHI and DMHI. 10th Int. Conf. on Computer and Info Tech (ICCIT), Bangladesh, pp. 190-195, Dec. 2007.
  • A Smart Automated Complex Motion Recognition Technique. 8th Asian Conf. on Computer Vision (ACCV'07) Workshop on Multi-dimensional and Multi-view Image Processing, Tokyo, Japan, pp. 142-149, Nov. 2007.
  • Performance of Multi-directional MHI for Human Motion Recognition in the Presence of Outliers. 33rd Annual Conf IEEE Industrial Electronics Society (IECON), Taipei, Taiwan, pp. 2366-2370, Nov. 2007.
  • Robust Human Motion Recognition Based on Multi-directional Motion Representation. Int. Conf. on Innovative Computing, Info and Control (ICICIC), Kumamoto, Japan, pp. 241-244, Sept. 2007.
  • Directional Motion Templates: New Appearance-based Recognition Method. Symp. Info Comp Elements (ISICE), Japan, pp. 303-308, Sept. 2007.
  • Constraints and Improvements of Factorization Methods for 3D Recovery. accepted at SICE-ICASE Int. Joint Conf., Korea, Oct. 2006.
  • MAR Ahad, ASMF Alam, M Waheduzzaman, "Resource Management in Next Generation Cellular Networks", 8th Int. Conf. Computer and Info Tech (ICCIT), Bangladesh, pp. 1183-1187, 28-30 Dec. 2005.
  • An in Depth Analysis on e-Governance. Its Challenges and Prospect in Bangladesh, Proc. of Annual Convention 2005 of Bangladesh Computer Samity (Society), Dhaka, Bangladesh, 2005.
  • Route Optimization for Network Mobility. SICE Annual Conf, Sapporo, Japan, Vol. 1, pp. 702-704, Aug. 2004.
  • Augmented Reality and its Challenges. SICE Annual Conf, Sapporo, Japan, Vol. 2, pp. 1041-1043, Aug. 2004.
  • Improvement of TCP Performances over Wireless Networks. accepted for publication at Wireless Communications and Information Technology (WCIT), Orlando, USA, July, 2004.
  • Imminent Issues to Handle in Augmented Reality. accepted for publication at Wireless Communications and Information Technology (WCIT), Orlando, USA, July, 2004.
  • Modernized GPS and Galileo - New Trend in GNSS Technology. accepted for publication at the Joint Meeting of Int. Conf. on Cybernetics and Info. Tech., Systems and Applications (CITSA 2004) and 10th Int. Conf. on Info. Systems Analysis and Synthesis (ISAS 2004), Orlando, USA, July, 2004.
  • Transport Telematics, Its 'Killer Apps' and Some Concerns for the least Developed World. accepted for publication at Wireless Communications and Information Technology (WCIT), Orlando, USA, July, 2004.
  • Optical Interconnection for Networking. Conf. on Horizons of Telecommunication, p. 86, India, Feb. 2003.
  • Electrical and Thermal Properties of Semiconductor Lasers for Optical Fiber Communication. Conf. on Horizons of Telecommunication, p. 36, Kolkata, India, Feb. 2003.
  • Sensitivity Model of Facet Reflectivity of Optical Device. Int. Conf. on Electrical & Computer Engineering (ICECE), Dhaka, Bangladesh, pp. 32-34, Jan. 2001.
  • Threshold Current Density and Temperature Dependence of Lasers having Wavelength of 1.3 and 1.55 micrometer for Optical Fiber Communication. Int. Conf. on Electrical & Computer Engineering (ICECE), Dhaka, Bangladesh, pp. 35-37, Jan. 2001.
  • Solar Electrification at Cyclone Shelters and Hill Tracts Region in Bangladesh: LGED's Experience. Int. Conf. on Electrical & Computer Engineering (ICECE), Dhaka, Bangladesh, pp. 187-188, Jan. 5-6, 2001.
  • An Approach to Solve Real-time Problem Applying Semaphore. Int. Conf. on Electrical & Computer Engineering (ICECE), Dhaka, Bangladesh, pp. 57-59, Jan. 5-6, 2001.
  • Lasers Having Wavelength of 1.3 and 1.55 micrometer for Optical Fiber Communication. Int. Conf. on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, pp. 173-176, Jan. 2001.
  • Study on the Facet Reflectivity of Fabry-Perot Resonator. Int. Conf. on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, pp. 170-172, Jan. 2001.
  • Temperature Dependence and Threshold Current Density of 1.3 and 1.55 micrometer Lasers for Optical Fiber Communications. Int. Conf. Communications, Computers & Devices, India, 2000.
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Award/Recognition

  • Excellent Paper Award - 1, 11th International Conference on Informatics, Electronics & Vision (ICIEV), & 6th International Conference on Imaging, Vision & Pattern Recognition (IVPR), London, UK, Oct., 2023.
  • Impact Builder Programme Award 2022/23, “Investigating the Opportunities and Challenges of Digital Social Prescribing for the Improvement of Mental Health and Its Optimisation through AI”, UEL, Oct. 2023.
  • WINNER Award (0.1 million JPY), Heatstroke Prevention Challenge, DFKI, Germany, Sept. 2023.
  • 2nd Place Award, Parkinson’s Disease Wearing-off Recognition Challenge, DFKI, Germany, Sept. 2023.
  • 3rd Place Award, Heatstroke Prevention Challenge, DFKI, Germany, Sept. 2023.
  • UEL Grant, "AI-based Exploration of Behaviours of Bacteria Regarding Anti-Microbial Resistance (AMR)", UEL, 2023.
  • Internship Grant, Office for Students (OfS), 2023.
  • Runner-up, Impactful Research Award, School of ACE, University of East London, UK, June 2023.
  • Runner-up Award, BCS (British Computer Society)'s Runner-up Award, Project competition, on "Mental Health Analysis based on Text Sentiment", University of East London, UK, June 2023.
  • Best Paper Award, 4th Int. Conf. on Activity & Behavior Computing (ABC), 27-29 Oct. 2022.
  • 2nd Best Paper Award, IEEE Computer Society BD Chapter Winter Symposium, 13-14 Nov. 2021.
  • Winner, Bento Packaging Activity Recognition Challenge, at 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
  • 1st Runner-up, Bento Packaging Activity Recognition Challenge, at 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
  • 2nd Runner-up, Bento Packaging Activity Recognition Challenge, at 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
  • Work-in-Progress Award, 3rd Int. Conf. on Activity & Behavior Computing (ABC), 22-23 Oct. 2021.
  • 2nd Place Award, Sussex-Huawei Locomotion and Transportation Recognition Challenge (SHL), at 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC'21), Sept. 2021.
  • Winner (1st Place Award), 3rd Nurse Care Activity Recognition Challenge, at 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC'21), Sept. 2021.
  • Runner-up, 3rd Nurse Care Activity Recognition Challenge, at 2021 ACM International Symposium on Wearable Computers (UbiComp/ISWC'21), Sept. 2021.
  • Best Paper Award (Gold), Joint 2021 10th International Conference on Informatics, Electronics & Vision (ICIEV) & 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, Aug. 2021.
  • Best Paper Award (Bronze), Joint 2021 10th International Conference on Informatics, Electronics & Vision (ICIEV) & 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, Aug. 2021.
  • 3rd Best Paper Award, National Workshop on Big Data and Machine Learning (BDML 2020), 9-10 Dec. 2020.
  • 2nd Best Paper Award, IEEE Computer Society BD Chapter Winter Symposium, Nov. 2020.
  • 2nd Place Award, 2nd Nurse Care Activity Recognition Challenge, at HASCA Workshop, 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20), Mexico, Sept. 2020.
  • 3rd Place Award, 2nd Nurse Care Activity Recognition Challenge, at HASCA Workshop, 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC'20), Mexico, Sept. 2020.
  • Excellent Paper Award, 4th Int. Conf. on Imaging, Vision and Pattern Recognition, Japan, 2020.
  • Excellent Paper Award, 9th Int. Conf. on Informatics, Electronics & Vision, Japan, 2020.
  • IEEE Outstanding Leadership Award, awarded at the IEEE CyberSciTech/DASC/PICom/CBDCom, Japan, 2019.
  • UGC Gold Medal 2016, University Grants Commission (UGC) of Bangladesh, awarded by the Honorable President of Bangladesh in 2018.
  • Best Poster Paper Award, 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018.
  • Award in the Sussex-Huawei Locomotion (SHL) Challenge, in the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2018 International Symposium on Wearable Computers (UbiComp/ISWC), Singapore, 2018.
  • Best Paper Award, Joint 7th Int'l Conf. on Informatics, Electronics & Vision, & 2nd Int'l Conf. on Imaging, Vision & Pattern Recognition, Japan, 2018.
  • First Place, in IEEE SS12 Project Competition and Maker Fair, 2018. Project Title: "Smart Band for Senior Citizens", in Virtual Track (out of 60 projects were there, globally). Team Members: Swapnil Sayan Saha, Md. Shafizur Rahman. Mentor: MAR Ahad, 2018.
  • Best Paper Award Candidate, Joint 7th Int'l Conf. on Informatics, Electronics & Vision, & 2nd Int'l Conf. on Imaging, Vision & Pattern Recognition, Japan, 2018.
  • Joint ICTP-IAEA Workshop on Environmental Mapping: Mobilising Trust in Measurements and Engaging Scientific Citizenry, Italy, Mar. 2017
  • ICTP Regional Workshop and Conference on Advanced Reconfigurable Instrumentation for Scientific Applications, UKM, Malaysia, Nov., 2016
  • Winner of the Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT) Prize, 2015.
  • Best Student Paper Award, 4th Int. Conf. on Informatics, Electronics & Vision, Japan, 2015.
  • Research Fund, from University Grants Commission (UGC) Bangladesh, 2013.
  • Certificate of Merit, for Outstanding Performance as Invited Lecture, at the seminar of Himeji Initiative in Computational Medical and Health Technology (Hi-MED), Graduate School of Engineering, University of Hyogo, Japan, July 2013.
  • Best Presentation Award, International Conference on Industrial Application Engineering (ICIAE), Mar. 2013, Japan.
  • SICE International Scholarship award, awarded during the SICE Annual Conference, Aug. 2012, by the Society of the Instrument and Control Engineers (SICE), Japan.
  • Best Paper Award, 14th IEEE International Conference on Computer and Information Technology (ICCIT), Dec. 2011, Bangladesh.
  • JSPS Postdoctoral Fellowship Award, Japan Society for the Promotion of Science (JSPS), 2 years, Japan.
  • Grant-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Japan
  • Best Paper Award, Biomedical Fuzzy Systems Association, 2008, Japan.
  • Best Student Paper Award, International Workshop on Combinatorial Image Analysis (IWCIA), April 2008, Buffalo, NY, USA.
  • Monbukagakusho Scholarship, Ministry of Education, Culture, Sports, Science and Technology, JAPAN, for Doctoral Program at Kyushu Institute of Technology, Tobata campus, Japan, Oct. 2005 ~ Sep. 2009.
  • AusAID Scholarship, Government of AUSTRALIA, for Masters in Computer Science at University of New South Wales, Australia, 2002~2004.
  • Research Trip Award, NEC, 2008.
  • Research Trip Award, Ogasawara Foundation for the Promotion of Science & Engineering, 2008.
  • Research Trip Award, International Information Science Foundation (IISF), 2008.
  • Research Trip Award, Meisenkai, Kyushu Institute of Technology, 2007, 2008.
  • Research Fund, Kyushu Institute of Technology, 2007.
  • Research Fellow, Renewable Energy Research Center (currently Institute of Energy), University of Dhaka, Bangladesh (2000)
  • University Grants Commission (UGC) Scholarship of Bangladesh for Undergrad result (Highest total marks in Science Faculty, University of Dhaka for that academic session), Bangladesh, 1997.
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Keynote / Invited Talk / Guest Speaker / Tutorial

  • Keynote Speaker, IEEE Computer Society Bangladesh Chapter, 7 July 2024.
  • Keynote Speaker, Brac University, Bangladesh, 1 July 2024.
  • Guest Speaker, Nagoya University, Japan, 21 May, 2024.
  • Panelist, LinkedIn Live, How can we use AI for the greater good?, 16 May, 2024.
  • Keynote Speaker, Vellore Institute of Technology, India, 9 Mar. 2024.
  • Keynote Speaker, ESAB AIUB Unit Face, American International University- Bangladesh, 3 Feb. 2024.
  • Keynote Speaker, UCSI University, Malaysia, 17 Jan. 2024.
  • Invited Speaker, IEEE Computer Society, SD, USA, 12 Dec. 2023.
  • Workshop Speaker, 5th International Conference on Sustainable Technologies for Industry 5.0 (STI), 9-10 Dec. 2023.
  • Keynote Speaker, GDR ISIS, CNRS, France, 13 Nov. 2023.
  • Keynote Speaker, International Conference on Big Data, IoT and Machine Learning (BIM 2023), 6-8 Sept. 2023.
  • Keynote Speaker, Care XDX Center Symposium, AI Research for Care Applications, Kyutech, Japan, 27 July, 2023.
  • Ahad Week 2023 at Kyutech, Research Paper Writing: Hands-on, Kyushu Inst. of Technology, Japan, 21 July, 2023.
  • Keynote Speaker, IEEE Computer Society, Bangladesh chapter, 23 June, 2023.
  • Keynote Speaker, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023), 16-17 June, 2023.
  • Keynote Speaker, 3rd Int. Conf. on Research Collaboration of Environmental Science (ICRC), University of Kitakyushu, Japan, 2-3 June, 2023.
  • Keynote Speaker, IEEE Premier University, Bangladesh, 18 May, 2023.
  • Keynote Speaker, IEEE Computer Society, Bangladesh chapter, 14 May, 2023.
  • Guest Lecturer, Computer Vision and AI, Polytechnic University of Milan (Politecnico di Milano), Italy, 22 May, 2023.
  • Keynote Speaker, International Congress on Recent Trends in Computer Science (ICRCS 2023), 16-17 Mar., 2023.
  • Keynote Speaker, Optica Celebrates Engineer Week, 23 Feb., 2023.
  • Guest Lecturer, Dept. of Psychology, AI and ML in Psychology / Cyberpsychology, University of East London, UK, 20 Feb., 2023
  • Keynote Speaker, IEEE Computer Society Bangladesh Chapter, IEEE Student Branch DU, 17 Feb., 2023.
  • Keynote Speaker, Hajee Mohammad Danesh Science and Technology University, 15 Feb., 2023.
  • Guest Lecturer, Dept. of Psychology, AI and ML in Psychology / Cyberpsychology, University of East London, UK, 13 Feb., 2023
  • Keynote Speaker, 13th EAI International Conference on Sensor Systems and Software, China, 7-9 Dec., 2022.
  • Keynote Speaker, Institute of Computer Science & Digital Innovation (ICSDI), UCSI University Kuala Lumpur, Malaysia, 7 Nov. 2022.
  • Keynote Speaker, University of Brawijaya, Indonesia, 1 Oct. 2022.
  • Invited Speaker, Research Centre in AI, Robotics and Human-Machine Systems (IROHMS), Cardiff University, UK, 28 Sept., 2022.
  • Keynote Speaker, University of Brawijaya, Indonesia, 24 Sept. 2022.
  • Keynote Speaker, 9th IIAE International Conference on Intelligent Systems and Image Processing 2022 (ICISIP2022), Kobe, Japan, 5-9 Sept. 2022.
  • Keynote Speaker, Summer Tech Fest 2022, BGC Trust University Bangladesh, Bangladesh, 29 Aug. 2022.
  • Keynote Speaker, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh, 24 Aug. 2022.
  • Keynote Speaker, Dept. of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Bangladesh, 11 Aug., 2022.
  • Panel Speaker, Pathways for early career researchers: Opportunities, Challenges and Suggestions, On the occasion of celebrating the 2nd founding anniversary of 'Be Researcher BD' (BRBD), BD, 23 June 2022.
  • Guest Lecturer, Computer Vision and AI, Polytechnic University of Milan (Politecnico di Milano), Italy, 27 June 2022.
  • Keynote Speaker and Collaboration Meetings, BAU International, Bahcesehir University, Turkey, 8-13 June 2022.
  • Keynote Speaker, International Conference on Innovations in Science, Engineering and Technology 2022 (ICISET 2022), BD, 26-27 Feb., 2022.
  • Keynote Spekaer, International Conference on Machine Intelligence and Data Science Applications (MIDAS), BD, 26-27 Dec., 2021.
  • Keynote Speaker, Brawijaya University, Indonesia, 6 Nov. 2021.
  • Speaker, IEEE Computer Society Bangladesh Chapter, 21 Oct. 2021.
  • Keynote Speaker, Brawijaya University, Indonesia, 18 Oct. 2021.
  • Keynote Speaker, Brawijaya University, Indonesia, 9 Oct. 2021.
  • Tutorial Speaker, International Conference on Big Data, IoT and Machine Learning (BIM 2021), BD, 23-25 Sept. 2021.
  • Keynote Speaker, Mujib100 Idea, at Int. Conf. on 4th Industrial Revolution (IC4IR), University Grants Commission (UGC), BD, 22 Sept., 2021.
  • Keynote Speaker, University of Asia Pacific, BD, 4 Sept. 2021.
  • Keynote Speaker, IEEE NSU PES Student Branch Chapter, BD, 27 Aug., 2021.
  • Keynote Speaker, International Conference on Industrial Instrumentation and Control (I2C-2021), India, 20-22 Aug., 2021.
  • Chair of the Webinar on 'Online Examination: Challenges & Solutions', BD, 8 Aug., 2021.
  • Keynote Speaker, IEEE Robotics & Automation Society, RUSBC, BD, 31 July, 2021.
  • Keynote Speaker, IEEE Women in Engineering, DUSBC, BD, 10 July, 2021.
  • Panelist, Current Status of Research in BD Higher Educational Institutions & Possible Pathways to Ascension, Be Researcher BD, BD, 23 June, 2021.
  • Trainer, Training on Artificial Intelligence (AI), ICT Division, Govt. of Bangladesh, BD, 17 June, 2021.
  • Keynote Speaker, Workshop on Research Methods Tools and Techniques, and Scientific Methods of Paper Writing, City University, BD, 29 May, 2021.
  • Keynote Speaker, IEEE Computer Society IIUC SB, BD, 27, May, 2021.
  • Keynote Speaker, Air University, Pakistan, 5 May, 2021.
  • Keynote Speaker, IEEE Student Branch, Comilla University, BD, 30 April, 2021.
  • Keynote Speaker, IEEE Computer Society, Bangladesh Chapter, and ICIEV-IVPR Keynote Series, 12 April, 2021.
  • Keynote Speaker, IEEE Student Branch, Comilla University, BD, 8 April, 2021.
  • Keynote Speaker, Robo Tech Valley, BD, 7 April, 2021.
  • Keynote Speaker, Comilla University, BD, 4 April, 2021.
  • Speaker, IEEE Computer Society, BRACU Student Branch Chapter, BD, 27 Mar. 2021.
  • Keynote Speaker, Bangladesh University of Business and Technology, BD, 25 Mar. 2021.
  • Keynote Speaker, International Conference on Sustainable Development in Technology for 4th Industrial Revolution (ICSDTIR-2021), Bangladesh, 12-13 Mar. 2021.
  • Chief Guest, Data Science and its Applications, Noida Inst. of Engn. and Tech. (NIET), India, 1 Mar. 2021.
  • Keynote Speaker, The Optical Society (OSA), OSA Celebrates Engineers, OSA, USA, 28 Feb. 2021.
  • Keynote Speaker, Indira Gandhi Delhi Technical University for Women, India, 20 Feb. 2021.
  • Keynote Speaker, IEEE Computer Society BD chapter, 5 Feb. 2021.
  • Keynote Speaker, Webinar by IEEE Student Branch University of Dhaka; IEEE Computer Society Student Branch University of Dhaka, BD, 3 Jan. 2021.
  • Keynote Speaker, 17th International Symposium on Management Engineering 2020 (ISME2020), Japan, 25-27 Dec. 2020.
  • Keynote Speaker, 1st National Workshop on Big Data and Machine Learning (BDML 2020), Bangladesh, 9-10 Dec., 2020.
  • Keynote Speaker, ICIEV2021 Lecture Series, Oct. 2020.
  • Keynote Speaker, IEEE Computer Society, BD chapter, BD, 26 Sept. 2020.
  • Keynote Speaker, International Symposium, Mie University, Japan, 24-25 Sept. 2020.
  • Keynote Speaker, International Conference on Machine Learning, IoT and BigData-2020 (ICMIB-2020), India, 19-20 Sept. 2020.
  • Keynote Speaker, Bangladesh Army University of Engineering and Technology, BD, August 2020.
  • Keynote Speaker, LinkWith, August 2020.
  • Speaker, International Youth Entrepreneurship Summit, BD, July 2020.
  • Keynote Speaker, University of Liberal Arts Bangladesh, BD, July 2020.
  • Keynote Speaker, IEEE Computer Society, BD chapter, BD, July 2020.
  • Keynote Speaker, Green University of Bangladesh, BD, July 2020.
  • Webinar Speaker, Dept. of EEE, University of Dhaka, BD, July 2020.
  • Keynote Speaker, IEEE Student Branch, Islamic University, Kushtia, BD, July 2020.
  • Webinar Speaker, UTAB, BD, June 2020.
  • Keynote Speaker, Special Training on AI, STARTUP Bangladesh, BD, June 2020.
  • Webinar Speaker, Dept. of EEE, University of Dhaka, BD, June 2020.
  • Keynote Speaker, IFDP International Webinar series, RCCIIT, India, June 2020.
  • Keynote Speaker, 3rd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS2020), Malaysia, May 2020.
  • Keynote Speaker, 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), India, 13-14 March 2020.
  • Invited Speaker, 26th International Workshop on Frontiers of Computer Vision (IW-FCV), Japan, 20-22 Feb. 2020.
  • Webinar Speaker, The Optical Society (OSA), OSA CareerLab, 17 Feb. 2020.
  • Keynote Speaker, International Workshop on Computer Vision and Intelligent Systems (IWCVIS), BRAC University, Bangladesh, 26 Dec. 2019.
  • Keynote Speaker, International Conference on Sustainable Technology for Industry 4.0 (STI 2019), Green University of Bangladesh, Bangladesh, 24-25 Dec. 2019.
  • Keynote Speaker, 2nd International Conference on Innovation in Engineering and Technology (ICIET), University of Dhaka, Bangladesh, 23-24 Dec. 2019.
  • Invited Speaker, 22nd International Conference on Computer and Information Technology (ICCIT), South East University, Bangladesh, 18-20 Dec. 2019.
  • Keynote Speaker, International Workshop on Computer Vision & Application (IWCVA), Dhaka, Bangladesh, 19 Dec. 2019.
  • Invited Speaker, 2019 International Workshop on Human Identification at a Distance, Southern University of Science and Technology, Shenzhen, China, 22 Nov. 2019.
  • Keynote Speaker, 2019 First Doctoral Symposium on Intelligence Enabled Research (DoSIER 2019), India, 19-20 Oct., 2019.
  • Keynote Speaker, 2019 4th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2019), Nagoya City University, Japan, 17-19 Oct. 2019.
  • Keynote Speaker, Int. Conf. on Advances in Science, Engineering and Robotics Technology (ICASERT), BD, 3-5 May 2019.
  • Keynote Speaker, Workshop at Int. Conf. on Advances in Science, Engineering and Robotics Technology, BD, 5 May 2019.
  • Invited Speaker, 2nd Int. Conf. on Electrical, Computer and Communication Engineering, (could not attend at the last moment), BD, Feb., 2019.
  • Keynote Speaker, International Conference on Innovation in Engineering and Technology (ICIET), 27-28 Dec. 2018, BD.
  • Tutorial Speaker, on "Tutorial on Action and Gait Recognition: from Basics to the Future", along with Yasushi Makihara (Osaka University, Japan), at International Conference on Innovation in Engineering and Technology (ICIET), 27-28 Dec. 2018, BD.
  • Invited Speaker, Osaka Prefecture University, Japan, Dec. 2018.
  • Keynote Speaker, Int. Conf. on Advancement in Electrical and Electronic Engineering (ICAEEE) 22-24 Nov. 2018, BD.
  • Workshop Organizer and Speaker (day-long event), Workshop on Research Method Tools & Techniques; and Scientific Method of Paper Writing, Nov. 2018, BD.
  • Keynote Speaker, 3rd Student Conference on Science and Engineering (SCSE), Nov. 2018, BD.
  • Keynote Speaker, Joint 3rd Conf on Sustainable Information Engineering and Technology (SIET), 4th Int Symposium on Geoinformatics (ISyG 2018), 10-11 Nov., 2018, Indonesia.
  • Keynote Speaker, FILKOM, Faculty of Computer Science, Universitas Brawijaya, Nov. 2018, Indonesia.
  • Speaker, Sozo Lab, Kyushu Institute of Technology, Nov. 2018, JP.
  • Keynote Speaker, IEEE Int. Conf. on Computing, Power and Communication Technologies (GUCON), 28-29 Sept. 2018, India.
  • Workshop Speaker, IEEE SBDU, University of Dhaka, BD, 2018.
  • Keynote Speaker, 2nd Int. Conf. on Biosignal Analysis, Processing and Systems (ICPABS 2018), Kuching, Sarawak, July, 2018, Malaysia.
  • Invited Speaker, Joint 7th Int. Conf. on Informatics, Electronics & Vision, & 2nd Int'l Conf. on Imaging, Vision & Pattern Recognition, June 2018, Japan.
  • Plenary Lecture, International Symposium on Affective Science and Engineering 2018 (ISASE-MAICS 2018), 31 May ~ 1 June, 2018, Washington, USA.
  • Keynote Speaker, Meijo University, Aichi, 2018, Japan.
  • Keynote Speaker, The 2nd International Conference on Healthcare, SDGs and Social Business, 26-28 April, 2018, Kyushu University, Japan.
  • Tutorial Speaker, International Conference on Recent Trends in Electrical, Control and Communication (RTECC-18), 20-22 March, 2018, Chennai, India.
  • Invited Talk, Sakurai Lab., The University of Tokyo, Japan, Dec. 2017.
  • Invited Talk, National Institute of Radiological Science, Japan, Dec. 2017.
  • Invited Speaker, IEEE RAS NSU, North South University, BD, Dec. 2017.
  • Workshop Speaker, IEEE SBDU, University of Dhaka, BD, Nov. 2017.
  • Workshop Speaker (day-long), Premier University, BD, Nov. 2017.
  • Invited Speaker, IEEE Day, ISTT, Bangladesh, Oct. 2017.
  • Invited Speaker, EEE Day 2017, Chittagong University of Engineering & Technology (CUET), Bangladesh, Oct. 2017.
  • Keynote Speaker, The 5th IIAE International Conference on Intelligent Systems and Image Processing (ICISIP), Hawaii, USA, 7-12 Sept. 2017.
  • Invited Speaker, IFSA-Post Workshop, Mie University, Japan, July, 2017.
  • Invited Speaker, International Workshop on Soft Computing (IWSC), Advanced Medical Engineering Center (AMEC), University of Hyogo, Himeji, Japan, June, 2017.
  • Summer School Speaker, at Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Otsu, JP, 27-30 June, 2017.
  • Invited Speaker: Kyushu Institute of Technology (Sozo Lab), JP, June 2017.
  • Invited Speaker: University of Asia Pacific (UAP), BD, May 2017.
  • Invited Speaker: Green University, Bangladesh, 2017.
  • Invited Speaker: Fukuoka Women University, Fukuoka, Japan, Dec. 2016.
  • Invited Speaker: Toyama University, Japan, Dec. 2016.
  • Invited Speaker: University of Hyogo, Himeji, Japan, Dec. 2016.
  • Invited Speaker: Kyushu Institute of Technology (Serikawa Lab.), Tobata, Japan, Dec. 2016.
  • Invited Speaker: Kyushu Institute of Technology (Sozo Lab.), Japan, Dec. 2016.
  • Keynote Speaker: International Workshop on Computational Intelligence (IWCI), Tech. Co-sponsor: IEEE, BD, Dec., 2016.
  • Invited Speaker: University Technologi Malaysia (UTM), Malaysia, Nov. 2016.
  • Invited Speaker: University Kebangsaan Malaysia (UKM), Malaysia, Nov. 2016.
  • Invited Speaker: IEEE BDS Congress 2016, Nov. 2016.
  • Keynote Speaker: International Conference on Intelligent Control, Power and Instrumentation (ICICPI-2016), Tech. Co-sponsor: IEEE, India, 21-23 Oct, 2016.
  • Invited Speaker: University of Liberal Arts of Bangladesh (ULAB), BD, 2016.
  • Keynote Speaker: EEE Fest, Bangladesh University, BD, 2016.
  • Panel Speaker: 18th Intl Conf on Computer & Information Technology (ICCIT), MIST, BD, 2015.
  • Keynote Speaker: CSE Fest, Chittagong University of Engineering & Technology, BD, 2015.
  • Invited Speaker: Symposium at University of Hyogo, Himeji, Japan, Nov. 2015.
  • Special Guest, 6th Bangladesh Physics Olympiad, Mymensingh Zone, BD, October, 2015.
  • Next-Generation ICT Research Center Seminar, on Research Methodology & How to Write Good Papers, Mie University, Mie, Japan, June, 2015.
  • Workshop on Action Recognition using MATLAB, University of Hyogo, Himeji, Japan, June, 2015.
  • Invited Speaker: Kyushu Institute of Technology, Kitakyushu, Japan, June, 2015.
  • Workshop Speaker: 'Mobile Vision' with Matthew Turk (University of California, Santa Barbara), 17th [IEEE] International Conference on Computer & Information Technology (ICCIT), Bangladesh, Dec. 2014
  • Invited Speaker: Osaka Prefecture University, Osaka, Japan, Dec., 2014.
  • Invited Speaker: Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, SCIS & ISIS 2014, Japan, Dec. 3-6, 2014.
  • Invited Speaker: Int. Conf. on Green Technologies for Environmental Protection, Hyderabad, India, Dec. 2014 [could not attend]
  • Invited Speaker: Student Association of Excellent and Progressive Spirit (STPES), Faculty of Science & Engineering, Saga University, Saga, Japan, Dec., 2014.
  • Invited Speaker: IEEE/IIAE International Conference on Intelligent Systems and Image Processing (ICISIP), Nishinippon Institute of Technology, Japan, 2014.
  • Invited Speaker: American International University Bangladesh (AIUB), Bangladesh, Nov. 2014.
  • Invited Speaker: BRAC University, Bangladesh, 2014.
  • Invited Speaker: Oxford International School, Bangladesh, Sept. 2014.
  • Invited Speaker: Ahsanullah University of Science & Technology, Bangladesh 2014.
  • Invited Speaker: BRAC University, Bangladesh, June, 2014.
  • Keynote Speaker: IEEE/IIAE International Conference on Intelligent Systems and Image Processing, Kyushu Institute of Technology, Japan, 2013.
  • Invited Speaker: Seminar of Himeji Initiative in Computational Medical and Health Technology (Hi-MED), Graduate School of Engineering, University of Hyogo, Japan, 2013.
  • Keynote Talk: International Symposium on Nature Grid in Green Campus and City, Japan, 2012.
  • Invited Talk: International Conference on Environmental Aspects of Bangladesh, University of Kitakyushu, Japan, 2012.
  • Invited Talk: IEEE FormulaR and Seminar on Gesture Recognition and Robotics, Bangladesh University of Engineering and Technology, Bangladesh, June 2012.
  • Invited Talk: Symposium on Environmental Issues of Bangladesh and Japan, Kitakyushu International Association, Japan, Sept. 2009
  • Special Guest, iARC Bangladesh Round, at United International University, BD, 20 Feb. 2015.
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Datasets

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Research Partner/Collaborator

  • Memorandum of Understanding (MoU) between University of Dhaka and University of Applied Sciences (Technische Hochschule Mittelhessen), Germany [2022 - ] under process between University of Dhaka and Osaka Prefecture University & Osaka City University, JP
  • under process between University of Dhaka and Fukuoka University, JP -->
  • Memorandum of Understanding (MoU) between University of Dhaka and University of Hyogo, Japan
  • Memorandum of Understanding (MoU) between University of Dhaka and RCC Institute of Information Technology, India
  • Memorandum of Understanding (MoU) between University of Dhaka and Fukuoka Women University, Japan
  • Memorandum of Understanding (MoU) between University of Dhaka and Clemson University, USA
  • Agreement with Advanced Graduate Program in Global Strategy for Green Asia, Kyushu University, Japan [with Faculty of Engineering & Technology, University of Dhaka]
  • Research Partner: Prof. Dr. Sozo Inoue, Kyushu Institute of Technology, Japan
  • Research Partner: Prof. Dr. Bjorn W. Schuller, Fellow IEEE, Imperial College London, UK and University of Augsburg, Germany
  • Research Partner: Dr. Md. Zasim Uddin, Begum Rokeya University, Rangpur, Bangladesh
  • Research Partner: Prof. Dr. Mark Nixon, University of Southampton, UK
  • Research Partner: Prof. Dr. Shiqi Yu, Southern University of Science and Technology, China
  • Research Partner: Prof. Dr. Yongzhen Huang, Beijing Normal University, China
  • Research Partner: Dr. Fady Alnajjar, United Arab Emirates University, UAE
  • Research Partner: Dr. Upal Mahbub, Qualcomm Technologies, Inc., USA
  • Research Partner: Dr. Md. Baharul Islam, Bahcesehir University, Turkey
  • Research Partner: Prof. Dr. Abdullah-Al Nahid, Khulna University, Bangladesh
  • Research Partner: Dr. Shahera Hossain, University of Asia Pacific, Bangladesh
  • Research Partner: Prof. Dr. Alamgir Hossain, Vice-President, Cambodia University of Technology and Science, Cambodia
  • Research Partner (former): Dr. Mufti Mahmud, Nottingham Trent University, UK
  • Research Partner (former): Prof. Dr. Mosabber Uddin Ahmed, University of Dhaka, Bangladesh
  • Research Partner (former): Dr. Sejuti Rahman, Dept. of RME, University of Dhaka, Bangladesh
  • Research Collaborator (former): Prof. T. Sakurai (Fellow, IEEE) and Dr. AKM Mahfuzul Islam, Sakurai Lab., The University of Tokyo, Japan
  • Research Partner (former): Prof. Syoji Kobashi, University of Hyogo, Japan
  • Joint-research Activity with Glory Limited (it is a pioneer in the development and manufacture of cash handling technology solutions) (former), Japan
  • Research Partner (former): Prof. Koichi Kise, Osaka Prefecture University, Japan
  • Research Partner: Prof. Seiichi Serikawa, Kyushu Institute of Technology, Japan
  • Research Partner (former): Dr. Gerald Schaefer, Loughborough University, UK
  • Research Partner (former): Dr. Nabeel Mohammad, North South University, Bangladesh
  • Research Collaborator (former): Dr. Hafiz Imtiaz, Bangladesh University of Engineering & Technology, Bangladesh
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Editorial Board Member / Reviewer

Journal

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Conference/Workshop Engagement

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Academic Society Membership

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Courses

Foundation of Artificial Intelligence
Software Engineering (using python)
Research Methods for Technologists
Artificial Intelligence and Machine Vision
Artificial Intelligence
Intelligent Systems
Software Engineering
Global Software Development
Network Security
Machine Learning
Recent Topics of Interest
Computer Architecture & Organization
Computer Vision
Microprocessor, Microcontroller & Assembly Language
Programming Language - C/C++
Digital Signal Processing
Digital Signal & Image Processing
Intelligent System Engineering
Database Systems
Data Structure and Algorithm
Research Methodology
Electrical Circuit and Device
Nuclear Physics
Discrete Math
Theory of Computing
Communication Theory
Computer Networks & Applications
Optical Fiber Communication
Solid State Devices
Management Information System
Digital Electronics & Circuits
Modern Physics
Principles of Programming
Introduction to Computer

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Some Notes / Video Lectures

Click to SUBSCRIBE the YouTube channel: Rumaisa Umar Foundation.

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Appearances in Mass Media

  • NHK News, Japan, July 2023 NHK
  • RKB News, Japan, July 2023 RKB
  • NHK Radio (Bangla section), Japan - Interviews were broadcasted in 4 series.
  • Interview (published in print & online) Fukuoka Overseas Students Association (FOSA), Fukuoka, Japan
  • Appeared in various domestic newspapers for different programs/events and activities.
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About Me

  • Professor of Artificial Intelligence
    Coordinator, UoA11, Research Excellence Framework (REF)
    Champion, Research and Innovation
    Dept. of Computer Science and Digital Technology, University of East London, UK.
  • Visiting Professor, Kyushu Institute of Technogloy, Japan.
  • Visiting Professor, Aoyama Gakuin University, Japan.
  • Visiting Professor, UCSI University, Malaysia.
  • Senior Member, IEEE
  • Senior Member, OPTICA
  • Visiting Professor (former), (TUBITAK) Bahcesehir University, Turkey.
  • Visiting Professor (former), University of Brawijaya, Indonesia.
  • Professor (former), University of Dhaka, Bangladesh.
  • Specially Appointed Associate Professor (former), Osaka University, Japan.
  • House Tutor (former), Bijoy Ekattor Hall, University of Dhaka, BD
  • JSPS Postdoctoral Research Fellow (former), Japan Society for Promotion of Science, Japan
  • Ph.D., Faculty of Engineering, Kyushu Institute of Technology, Japan
  • Internship (former), Nikon Corporation, Tokyo, Japan
  • Teaching Assistant (former), Faculty of Engineering, Kyushu Institute of Technology, Japan
  • Academic [Casual, (former)], School of CSE, University of New South Wales, Australia
  • Masters (2 years), School of Computer Science & Engineering, University of New South Wales, Australia
  • M.Sc. [1st class, 2nd position], Dept. of Applied Physics & Electronics, University of Dhaka, Bangladesh
  • B.Sc. (Honors) [1st class, 1st position], Dept. of Applied Physics & Electronics, University of Dhaka, Bangladesh
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Some Links Related to Me [not updated regularly!]







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Some Preferred Websites

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Volunteer Activities

  • BEN Initiators' Group member, Bangladesh Environment Network (BEN)
  • Consultative Committee Member, Bangladesh Environment Network (BEN)
  • Executive Committee member of Bangladesh Poribesh Andolon (BAPA EC) [since 2015 ~ 2019] [It is the largest citizen forum and organization, concerned with the environment of Bangladesh], Bangladesh
  • Founding Moderator & Mentor, IEEE Student Branch University of Dhaka (IEEE SBDU), launched in 2015.
  • Director, Center for Natural Science & Engineering Research (CNSER)
  • Executive Committee Member (& former Organizing Secretary, 2012 - 2016), Alumni of Applied Physics, Electronics & Communication Engineering, University of Dhaka, 2012~2014, 2015~2016, Bangladesh
  • Exhibition Chair, 1st Bangladesh Electronics Olympiad (BEO), May 2015
  • Member Secretary of Exhibition, 5th Bangladesh Physics Olympiad (BPO), 30-31 Jan. 2015
  • Founder & Coordinator (former), Bangladesh Environment Network Japan (BENJapan)
  • Life Member, Dhaka University Alumni Association
  • Life Member, Alumni Association of APECE-EEE, DU
  • (Founding Member) & Life Member, Nature Study Society of Bangladesh (NSSB)
  • Life Member, Notre Dame Nature Study Club, Notre Dame College, Bangladesh
  • Member, Education for Sustainable Development, Kitakyushu (ESD-Kitakyushu), JAPAN
  • Member, Kitakyushu forum on Asian Women, Kitakyushu, JAPAN
  • Former President (April 2006 ~ March 2007), Foreign Students Association (FSA), Kyushu Institute of Technology, Tobata, JAPAN
  • Volunteer (former), Japan International Cooperation Agency (JICA), Kitakyushu, 2008
  • Volunteer (former), Kitakyushu International Association (KIA), Kitakyushu
  • Assistant General Secretary (former), Alumni of Applied Physics, Electronics & Communication Engineering, University of Dhaka, 2005, BANGLADESH
  • Founder & Founding Moderator, Electronics & Communication Club (ECC), Applied Physics, Electronics & Communication Engineering, (founded in 2004) [renamed as 'Electrical and Electronic Club (EEC)' since Sept. 2015 in the dept. of Electrical & Electronic Engineering (EEE)], University of Dhaka, BD
  • Former President, Youth for Rights & Justice, a social organization, Dhaka, BANGLADESH
  • Participant of Photography Training Program by NDNSC, BANGLADESH
  • Participant of Journalism Training Program by NDNSC, BANGLADESH
  • Participant of Field Work Training Program by NDNSC, BANGLADESH
  • Participant of Newspaper Publication Training Program by NDNSC, BANGLADESH
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Travel

  • Australia (July 2010; Jan. 2002 ~ June 2004: 2.5 years - Sydney, Canberra, New Castle, etc.)
  • Bangladesh - as native
  • China (Nov. 2019 - Shenzhen; Jan. 2019 - Beijing; 2014; 2013; 2012: Kunming, Shanghai)
  • England (Apr. 2022 -- as Resident; Sept. 2019; Nov. 2021)
  • Germany (Sept. 2023; 2017)
  • Greece (2019)
  • India (2018 - Uttar Pradesh, Delhi, Kolkata; 2016 - Kolkata)
  • Indonesia (2018)
  • Italy (2017)
  • Japan (May 2024; July 2023; May 2023; May 2018 ~ Apr. 2022: as Resident; Dec. 2017; Aug./Sept. 2017; June/July 2017; Dec. 2016; 2012/2013/2014/2015; Nov. 2009 ~ April 2012: as Resident; Oct. 2005 ~ Sept. 2009: as Resident): Fukuoka, Tokyo, Kyoto, Kumamoto, Hyogo, Hiroshima, Osaka, Nagasaki, Nara, Oita, Yamaguchi, Nagoya/Aichi, Shimane, Okayama, Chiba, Yokohama, Saga, Mie, Yamanashi, Kagoshima, Tottori, Toyama, etc.)
  • Malaysia (2018 - Kuching, Sarawak; 2016, 2012, 2007, 2004 - Kuala Lumpur, Malacca)
  • Singapore (2018)
  • Slovenia (Sept. 2023; 2017)
  • South Korea (2008)
  • Taiwan (2007)
  • The Netherlands (2008)
  • Turkey (May 2023; June 2022)
  • United Arab Emirates (Oct. 2022)
  • USA (Sept.-Oct. 2023 - Hawaii; May-June 2019 - Washington; May-June 2018 - Washington, Denver; June 2011 - Dallas, Houston, Colorado Springs, Denver; March 2011 - Alabama, Dallas, Santa Barbara, San Diego; June 2010 - San Francisco, San Diego; Oct. 2008 - San Francisco, Florida; April 2008 - New York, New Jersey, Buffalo, Boston)
  • Wales (Sept. 2022)
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Hobby

(Followings were/are my hobbies at different periods. Lately, almost no time to enjoy most of these!)
  • Blood donation, Cooking, Gardening, Reading books.
  • [Past] Bird watching, Traveling & wandering in nature, Playing and watching sports - mainly soccer & cricket.
  • Knowing other cultures, and a bit writing.
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Research Students

(Present/Past - as Director of Studies (DoS) / Supervisor (S) / Co-supervisor (CS)) Ph.D./Doctoral Student:
  • Afroza Rahman, University of East London, UK, DoS, 2023 ~
  • Emeka Cajetan UMENDU, University of East London, UK, DoS, 2023 ~
  • Everton Dennis, University of East London, UK, S, 2024 ~
  • Ejaz Hussain, University of East London, UK, S, 2024 ~
  • Peter Amaechi NWORA, University of East London, UK, S, 2024 ~
  • Manoj TEWARI, University of East London, UK, S, 2024 ~
  • Suleiman Sani Bashar, Univrsity of East London, UK, S, 2023 ~
  • Alsherfawi Aljazaerly Mohamad Ammar Ayman, Osaka University, Japan, CS, 2020 ~
  • Arezoo Sadeghzadeh, Bahcesehir University, Turkey, CS, [collaboration with Dr. Md Baharul Islam], 2022 ~
  • Hassan Imani, Bahcesehir University, Turkey, CS, [collaboration with Dr. Md Baharul Islam], Graduated in 2023
  • Rouchen Liao, Osaka University, Japan, CS, Graduated in 2022
  • Tahera Hossain, Kyushu Inst of Tech, Japan, CS, Graduated in 2021
  • Md Zasim Uddin, Osaka University, Japan, CS, Graduaded in 2020
  • Major Saif-Ul-Islam Khan, University of Dhaka, Bangladesh, [discontinued], 2015~2018
Postdoctoral or Visiting Researcher, Internship, Research Assistant:
  • Dr. Shahera Hossain, University of East London, UK, 2024 -
  • Md Ibrahim Mamun, University of East London, UK, 2024 -
  • Afroza Rahman, University of East London, UK, 2024 -
  • Krishna Reddy Yache, University of East London, 2023 - 2024
  • Priyanka Golalakonda, University of East London, 2023 - 2024
  • Nazmun Nahid, Kyutech, Japan, 2023
  • Luis Filipe Pinheiro Pereira, University of East London, 2023
  • Abhushan BHANDARI, University of East London, 2023
  • Md Ibrahim Mamun, Northumbria University, UK, 2023
  • Dr. Shahera Hossain, University of Asia Pacific / Kyutech, 2022 - 2023
  • Dr. Allam Shehata, Osaka University, 2019 - 2022
  • Dr. Thanh Trung Ngo, Osaka University, Japan, 2020 - 2021
  • Anindya Das Antar, Osaka University, 2019
  • Masud Ahmed, Osaka University, 2019
  • Amr Elkhohly, Osaka University, 2018
  • Anindya Das Antar, Osaka University, 2018
  • Md Masud Ahmed, Osaka University, 2018
Masters Student:
  • Mokshitha Lakshmi PALLAPOLU, University of East London, UK, 2024
  • Geepthika Nandini GAJULA, University of East London, UK, 2024
  • Nimesh Bhattarai, University of East London, UK, 2024
  • Jorgo Luka, University of East London, UK, 2024
  • Madhan Raj Bhoomani, University of East London, UK, 2024
  • Udaykiran Bhukya, University of East London, UK, 2024
  • Franciszek Ostwald, University of East London, UK, 2024
  • Sai Kiran Reddy Bobbala, University of East London, UK, 2024
  • Bhargav Rohit Bodala, University of East London, UK, 2024
  • Rakesh Boddu, University of East London, UK, 2024
  • Krishna Vardhan Goud Bollapalli, University of East London, UK, 2024
  • Hardi Pareshkumar Patel, University of East London, UK, 2024
  • Abena Deborah Cole, University of East London, UK, 2024
  • Sai Prasad Jindam, University of East London, UK, 2024
  • Bina Soni, University of East London, UK, 2024
  • Fatemeh Mosleh, University of East London, UK, 2024
  • Karthik Ongoji, University of East London, UK, 2024
  • Rishad Haque HRIDAY, University of East London, UK, 2024
  • Surya Ganesh Reddy Bhemi Reddy, University of East London, UK, 2024
  • Muhammad Bilal, University of East London, UK, 2024
  • Harendra Bohara, University of East London, UK, 2024
  • Shivani Bohra, University of East London, UK, 2024
  • , University of East London, UK, 2024
  • ADLEY-NASTRI CONNA-LEE, University of East London, 2023 ˆ
  • MANPREET KAUR, University of East London, 2023 ˆ
  • ANSARI MOHAMMED SAIF, University of East London, 2023 ˆ
  • GANESHWALA JUHI HERRY, University of East London, 2023 ˆ
  • OKOSI KAYODE, University of East London, 2023 ˆ
  • PATEL JIGAR, University of East London, 2023 ˆ
  • PATEL ZEAL, University of East London, 2023 ˆ
  • PREMARATHNE SASINDU, University of East London, 2023 ˆ
  • RAMSHETTI SARIKA, University of East London, 2023 ˆ
  • RAVI SRUTHI, University of East London, 2023 ˆ
  • SHAH HARSH, University of East London, 2023 ˆ
  • ZALAVADIYA KRISHNABEN, University of East London, 2023
  • MANPREET KAUR, University of East London, 2023
  • ADLEY‐NASTRI CONNA‐LEE, University of East London, 2023
  • ANSARI MOHAMMED SAIF, University of East London, 2023
  • GANESHWALA JUHI HERRY, University of East London, 2023
  • OKOSI KAYODE, University of East London, 2023
  • PATEL JIGAR, University of East London, 2023
  • PATEL ZEAL, University of East London, 2023
  • PREMARATHNE SASINDU, University of East London, 2023
  • RAMSHETTI SARIKA, University of East London, 2023
  • RAVI SRUTHI, University of East London, 2023
  • SHAH HARSH, University of East London, 2023
  • ZALAVADIYA KRISHNABEN, University of East London, 2023
  • KALAPPURACKAL SOUMYA, University of East London, 2023
  • PINTO MEZA JUAN SEBASTIAN, University of East London, 2023
  • MALASANI MADHUKAR, University of East London, 2023
  • GONEPATLA CHIRANJEEVI, University of East London, 2023
  • DARAPUNENI RAJASEKHAR, University of East London, 2023
  • ANBURAJ JENITTO, University of East London, 2023
  • SOMA PRATHAP, University of East London, 2023
  • PECHETTI BHAVANI, University of East London, 2023
  • BEENA ANIRUDHAN AKHILA, University of East London, 2023
  • VEERAM VAMSI KRISHNA, University of East London, 2023
  • Akhil BANDARI, University of East London, 2022
  • Dinesh Kumar BHUMA, University of East London, 2022
  • Naresh ANUGULA, University of East London, 2022
  • Oritsetimeyin Emmanuel AMORUWA, University of East London, 2022
  • Osama Atwi, University of East London, 2022
  • Rani BALACHANDRAN PILLAI, University of East London, 2022
  • Ruchita Dineshbhai CHAUHAN, University of East London, 2022
  • Sai Kiran Bejawada, University of East London, 2022
  • Sreekanth Reddy BORRA, University of East London, 2022
  • Y. Nishiura, Osaka University, 2019~2020
  • Tanmoy Paul, EEE, DU, 2017
  • Ummul Afia Shammi, EEE, DU, 2017
  • Ferdous Israt, EEE, DU, 2017
  • Kanij Mehtanin Khabir, EEE, DU, 2017
  • Israt Jahan, EEE, DU, 2016
  • Rifat Reza, EEE, DU, 2016
  • Aloomgir Hossain, EEE, DU, 2016
  • Nazmul Islam, EEE, DU, 2016
  • Fahian Shahriar Mahin, EEE, University of Dhaka, 2015
  • Nazmus Sakib, EEE, U of Dhaka, 2014
  • Talal Noman, APECE, U of Dhaka, 2013
  • Fakhrul Alam, APECE, U of Dhaka, 2005
  • Edi Amin, APECE, U of Dhaka, 2005
Undergraduate Student:
  • M Sameer Khan, University of East London, 2023 - 2024
  • M Zuhayr Khan, University of East London, 2023 - 2024
  • Mohsin, University of East London, 2023 - 2024
  • Jobael Baiju, University of East London, 2023 - 2024
  • M Syed Uddin, University of East London, 2023 - 2024
  • Basam Chungath, University of East London, 2023 - 2024
  • Ferenc Gerlei, University of East London, 2023 - 2024
  • Luis Filipe Pinheiro Pereira, University of East London, 2022 - 2023
  • Sudikshya Pokharel, University of East London, 2022 - 2023
  • Omar Kassem, University of East London, 2022 - 2023
  • Dion Shabi, University of East London, 2022 - 2023
  • Emmanuel Olaribigbe, University of East London, 2022 - 2023
  • Yuka Nishiura, Osaka University, 2018.
  • Arafat Islam, EEE, DU, 2018
  • Naimur Rahaman, EEE, DU, 2018
  • Sujay Saha, EEE, DU, 2018
  • Shadman Saquib Abir, EEE, DU, 2018
  • Swapnil S Saha, EEE, DU, 2018
  • Shafizur Rahman, EEE, DU, 2018
  • Anindya Das Antar, EEE, DU, 2017
  • Masud Ahmed, EEE, DU, 2017
  • Md. Masum Ahmed, EEE, DU, 2017
  • Muhammad Shadman Ishrak, EEE, DU, 2017
  • Uzma Haque, EEE, DU, 2016
  • Ziaul Zafer, EEE, DU, 2016
  • Nafiz Irteza, EEE, DU, 2016
  • M Sami, EEE, DU, 2016
  • Syed Mahir Tazwar, EEE, DU, 2016
  • Zishan Zahidul Islam, EEE, DU, 2016
  • Tanmoy Paul, EEE, DU, 2015
  • Ummul Afia Shammi, EEE, DU, 2015
  • Ferdous Israt, EEE, DU, 2015
  • Mostafa Zaman, EEE, DU, 2015
  • Nazmul Islam, EEE, DU, 2014
  • Israt Jahan, EEE, DU, 2014
  • Rifat Mueid, APECE, University of Dhaka, 2013
  • Chandrama Ahmed, APECE, University of Dhaka, 2013
  • Fahad Parvez Mahdi, APECE, U of Dhaka, 2013
  • Md. Mahmudul Habib, APECE, U of Dhaka, 2013
  • Fahian Shahriar Mahin, APECE, University of Dhaka, 2013
  • Md. Nazmul Islam, APECE, U of Dhaka, 2013
  • Indrojit Sarker, APECE, University of Dhaka, 2012
  • Talal Noman, APECE, University of Dhaka, 2012
  • Hossain Mahbub Elahi, APECE, University of Dhaka, 2012
  • Didar Islam, APECE, University of Dhaka, 2012
Other Researcher/Student:
  • Md. Johir Raihan, Khulna University, Bangladesh, 2021~
  • X. Min, Kyushu Institute of Technology, Japan, 2022~
  • Md. Mamun Sheikh, University of Dhaka, Bangladesh, 2020~
  • Iqbal Hassan, AUST, Bangladesh, 2022~2023
  • Minhajul Islam, AUST, Bangladesh, 2022~2023
  • Faizul Rakib Sayem, University of Dhaka, Bangladesh, 2020~2021
  • Amirul Karim Tanim, University of Dhaka, Bangladesh, 2020~2021
  • K M Talha Nahiyan, University of Dhaka, Bangladesh, 2020~2021
  • Niloy Sikder, Khulna University, Bangladesh, 2021
  • Md Ahasan Atick Faisal, University of Dhaka, Bangladesh, 2020~2022
  • Farhan Fuad, University of Dhaka, Bangladesh, 2020~2022
  • Arafat Rahman, University of Dhaka, Bangladesh, 2019~2022
  • Safaeid Hossain Arib, University of Dhaka, Bangladesh, 2021
  • Rabeya Akter, University of Dhaka, Bangladesh, 2021
  • Promit Basak, University of Dhaka, Bangladesh, 2020~2021
  • A.H.M Nazmus Sakib, University of Dhaka, Bangladesh, 2020~2021
  • Shahamat Mustavi Tasin, University of Dhaka, Bangladesh, 2020~2021
  • Syed Doha Uddin, University of Dhaka, Bangladesh, 2020~2021
  • Adrita Anwar, University of Dhaka, Bangladesh, 2020~2021
  • Malisha Islam Tapotee, University of Dhaka, Bangladesh, 2020~2021
  • Purnata Saha, University of Dhaka, Bangladesh, 2020~2021
  • Md. Morshed Alam, University of Dhaka, Bangladesh, 2020~2021
  • Sriman Bidhan Baray, University of Dhaka, Bangladesh, 2020~2021
  • Muiz Ahmed Khan, North South University, Bangladesh, 2020~2021
  • Mahmudur Rashid, North South University, Bangladesh, 2020~2021
  • S.M. Abdul Ahad, North South University, Bangladesh, 2020~2021
  • Pias Paul, North South University, Bangladesh, 2020~2021
  • Md. Sohanur Rahman, University of Dhaka, Bangladesh, 2021~
  • Hasib Ryan Rahman, University of Dhaka, Bangladesh, 2021~
  • Abrar Zarif, University of Dhaka, Bangladesh, 2021~
  • Yeasin Arafat Pritom, University of Dhaka, Bangladesh, 2021~
  • M. Ashikuzzaman Kowshik, University of Dhaka, Bangladesh, 2021
  • Ali Akbar, University of Dhaka, Bangladesh, 2021
  • Sadman Siraj, EEE, DU, 2020~2021
  • Omar Sharif, RME, DU, 2019~2022
  • Miftahul Jannat Rasna, EEE, DU
  • Md. Zahidul Islam, EEE, DU
  • Md. Ismail Hossain Raju, Military Institute of Science and Technology (MIST), 2015
  • Sharmeen Sultana Ononna, Military Institute of Science and Technology (MIST), 2015
  • Major Syed Shafiul Islam Meraz, Military Institute of Science and Technology (MIST), 2015
  • Major Md. Zakaria Azam, Military Institute of Science and Technology (MIST), 2015
  • Moin Atique, Biomedical Physics & Technology, University of Dhaka, 2014
  • Upal Mahbub, Faculty Member, EEE, Bangladesh University of Engineering & Technology (BUET), 2010-2013
  • Hafiz Imtiaz, Faculty Member, EEE, Bangladesh University of Engineering & Technology (BUET), 2010-2013
  • Tonmoy Roy, EEE, Bangladesh University of Engineering and Technology, 2011-2013
  • Shafiur Rahman, EEE, Bangladesh University of Engineering and Technology, 2011-2013
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Student Advancement and Job Placement, etc.

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Research Areas (past)

Gait against Occlusion

Gait recognition against various occlusions is very difficult task. We proposed a spatio-temporal silhouette sequence reconstruction method for gait recognition. As there are no large/medium datasets for gait with occlusion, we introduced a new dataset of 9001 subjects from a side view, where artificially 24 different occlusion patterns are created. Our proposed method can reconstruct better and hence, achieved state-of-the-art results.

Sensor-based Activity Recognition having Missing Data

Sensor-based activity recognition deteriorates while partial data are lost. Hence, we study activity recognition in the presence of data loss.

Position and Orientation Independent Deep Ensemble Network

We designed a position and orientation independent deep ensemble network (POIDEN) to classify eight modes of locomotion and transportation activities from SHL dataset. The architecture is constructed of a Recurrent Neural Network (RNN) with LSTM that is assigned the task of selecting optimum general classifiers (random forest, decision tree, gradient boosting, etc.) to classify the activity labels.

Gait Disorder Detection

We proposed a method for detecting gait disorders using RGB or RGBD camera, based on Gait Energy Image (GEI). We learnt the representative features from the GEI using convolutional autoencoder, and use anomaly detection method for detecting abnormal gait.

Action Recognition from Accelerometer Sensor Data

Elderly people are physically very weak. Most of them have to consult doctors regularly. It is tedious for both the elderly persons and doctors to stay in touch incessantly. Wireless Sensor Network (WSN) is designed to keep incessant observations remotely on elderly people at a time. This WSN is comprised of many sensor nodes. For the recognition of elderly actions, accelerometer sensors are broadly used in WSN.

Earable Device for HAR

Wearable sensors are monumental for human activity recognition. We explored earables device 'eSense' multisensory stereo device for personal scale behavior analysis. We proposed an HAR framework by exploiting eSense based multi-sensory device. It has a microphone, 6-axis inertial measurement unit, and a dual-mode Bluetooth. We used eSense accelerometer sensor data for detecting head and mouth related behavioral activities.

Sensor-based Gait Challenge: Age and Gender

We employed a large wearable sensor-based gait dataset, which includes various walking patterns, having 745 subjects (357 females and 388 males), from 2 to 78 years old - as training dataset; and 58 subjects (19 females and 39 males) - as test dataset. With this dataset, a challenge was introduced in the IEEE 12th International Conference on Biometrics (ICB), 2019, where 18 teams registered from 14 countries. Finally ten teams submitted 67 solutions.

Mobility Dataset

The University of Dhaka mobility data set (DU-MD) is a human action recognition dataset consisting of 10 classes and 5000 observations, recorded using wrist-mounted sensors embracing accelerometry. The data set exhibits sufficient statistical diversity in physiological parameters and a noteworthy correlation between similar activities with coveted quantitative and qualitative features, suitable for training machine learning models. On the other hand, the wrist-mounted approach parallels the future commercial scenarios.

Activity Recognition by Using LoRaWAN Sensor

We explore LoRaWAN (LoRa Wide Area Network) sensor for human activity recognition. To support the ageing population in the world, assisted living and sensor-based human activity recognition are important research areas. In this research, we study LoRaWAN sensors data transfer ability in a real caregiving center in Japan.

Classification of Locomotion and Transportation Modes Using Smartphone Sensor Data

We explore a smartphone sensor-based benchmark Sussex-Huawei Locomotion-Transportation (SHL) dataset for rich locomotion and transportation analytics. We show a comparison of different sensor-based features for the identification of a specific activity level.

Automatic Fall Detection System for Elederly People

We used smartphones as the main component of our system. A dataset was first established and by analyzing it, an appropriate algorithm was devised. Finally, the algorithm was implemented and the system was tested and fall was detected in real-time.

Fatigue Detection Using Facial Landmarks

Detection of fatigue in human face is crucial for medical and safety purposes. Although it is a simple task for a human observer, for a computer, it is a very challenging problem. We explore to determine the presence of fatigue in a face using computer vision. We propose a method for fatigue recognition by exploiting the facial landmarks.

Visual Face Scanning and Emotion Perception Analysis of Autistic Children

Autism Spectrum Disorder (ASD) is a complex and diverse neuro-developmental condition. The smooth pursuit experiment contains animations of objects moving horizontally across the screen and the saccadic tests contained animations of predictable and non-predictable saccades. To attain the gaze data, Tobii EyeX Controller is used and the data is processed and analyzed.

Sleep Monitoring System

Sleep monitoring is very crucial for human being since insufficient and unbalanced sleeps are often related to an individual's health state. Sleep posture impacts the quality of sleep, and it is exclusively vital for injured people. So, it is essential to study the postures and movements of the limbs during sleeping. We propose a sleep monitoring system based on ultrasonic sensors. Our system does not need any on-body sensors to wear, nor does it need any kind of additional action from the users outside the daily routine.

Development of an 8DOF Quadruped Robot

Quadruped robots can mimic animal walking gait and they have certain advantages like walking on terrain and extremely rough surfaces. A quadruped robot is designed and developed having six different movements: front, back, left, right walking, clockwise and anti-clockwise rotation.

Left Ventricular (LV) Segmentation on Cardiac Cine-MR Images

We explore segmentation algorithms applied on left ventricular (LV) segmentation on cardiac cine-MR images. The dataset used for this research is cardiac MRI dataset used for MICCAI 2009's 3-D segmentation challenge for clinical application (Sunnybrook Cardiac dataset used for the 2009 MICCAI's challenge).

Study on Alzheimer's Disease from the Ventricular Enlargement using S-MRI Data

Alzheimer's disease (AD) is a major form of dementia that is generally diagnosed using clinical history and brain imaging. Structural MRI provides the opportunity to identify the changes in the brain structure. Brain ventricular enlargement is a biomarker for the AD subjects. Due to intra- and inter-operator variability, manual detection of this enlargement is predisposed to errors. An automatic detection of this enlargement is presented.
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More/Past News

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Contact

  • Contact Email: atiqahad [_ATmark_] gmail DOT com
  • Postal Address:
    Md Atiqur Rahman Ahad, Ph.D., SMIEEE, SMOPTICA
    Dept. of Computer Science and Digital Technology, University of East London
    University Way, London, UK, E16 2RD
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