Dr Md Atiqur Rahman Ahad
Associate Professor
Department of Engineering & Computing , School Of Architecture, Computing And Engineering
Md Atiqur Rahman Ahad is an Associate Professor of Artificial Intelligence and Machine Learning, and Champion, Research and Innovation in the Department of Computer Science and Digital Technologies.
Qualifications
- PhD
- Senior Member, IEEE
- Senior Member, OPTICA (formerly OSA)
- Member, ACM (Association for Computing Machinery)
- Member, IAPR (International Association for Pattern Recognition)
- Professor (former), University of Dhaka
- Specially Appointed Associate Professor (former), Osaka University
- Visiting Professor (former), Brawijaya University
OVERVIEW
Md Atiqur Rahman Ahad, PhD. (Senior Member, IEEE; Senior Member, OPTICA (formerly The OSA)) is an Associate Professor of Artificial Intelligence & Machine Learning, and Champion, Research and Innovation in the Department of Computer Science and Digital Technologies,, University of East London.
He became a Professor at the University of Dhaka (DU) in 2018, and served as a specially appointed Associate Professor at Osaka University from 2018 till 2022.
He works on AI, ML, vision, biometrics & security, IoT, & healthcare. He studied at Kyushu Institute of Technology (for Ph.D.), University of New South Wales (for Masters), and DU (for Masters (1st class, 2nd position) & B.Sc. (Honors) (1st class, 1st position)).
He was awarded the prestigious UGC Gold Medal (handed by the Honorable President of Bangladesh), JSPS Postdoctoral Fellowship, and ~45 awards/grants/scholarships.
He published 11 books (more to appear soon), ~200 journals/conference papers & book chapters. Ahad was invited as keynote/invited speakers ~150 times in different conferences/societies/universities.
He is an Editorial Board Member, Scientific Reports, Nature; Associate Editor, Frontiers in Computer Science; Editor, Int. J. of Affective Computing; Editor-in-Chief: Int. J. of Computer Vision & Signal Processing; General Chair, 10th ICIEV, 5th IVPR, 4th ABC; Workshop Chair, 17th IEEE PiCom; Publication Chair, 2018 IEEE SMC; Vice Publication Co-chair & Vice Award Chair, 17th World Congress of IFSA; Guest Editor in Pattern Recognition Letters; J. of Multimedia User Interface; J. of Healthcare Engineering. He is a member of ACM and IAPR.
PUBLICATIONS
Selected journal papers
- 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.
- 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.
- 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.
- 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.
- 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.
Selected 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.
- 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. (Award winner - 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)
- 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.