Faculty Member Details

S. M. Mahbubur Rahman received the B.Sc. and M.Sc. degrees in EEE from BUET and the Ph.D. degree in ECE from Concordia University, Montreal, QC, Canada.  He has over 18 years of teaching, research, and university-related administrative experience to his credit. He started his career as a Lecturer in EEE, BUET in 1999 and currently, he is holding the position of Professor and Registrar (Add. Charge) in BUET. He was tenured in the University of Toronto, ON, Canada as an NSERC (Natural Sciences and Engineering Research Council) Postdoctoral Fellow in 2012. He has a strong record of research in his area that includes contributions to a book published in Springer Nature and more than 50 publications in top-rank SCI-indexed journals, book chapters, and proceedings of international conferences.

Keywords/ Research Interest

Statistical signal processing, deep learning, biometric security system, intelligent transportation system, cognitive science, stereo vision, virtual reality, biomedical visualization, human computer interaction, video surveillance, and communication systems.

Awards/Honors

1. Late Sydney R. Parker Best Paper Award in Signal Processing, Journal of Circuits, Systems and Signal Processing, Springer Nature (Nov. 2015).

2. Postdoctoral Fellowship, Natural Sciences and Engineering Research Council (NSERC), Canada, (Received on Apr. 2009 for 2 years, Tenured on Dec. 2012).

Patents

BOOK:
1. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos,  “Orthogonal Image Moments for Human-Centric Visual Pattern Recognition,” Springer Nature, Singapore, 2019 (ISBN 978-981-32-9944-3).

Recent/Selected Publications

1. Rames Basnet, Mohammad Tariqul Islam, Tamanna Howlader, S. M. Mahbubur Rahman, and Dimitrios Hatzinakos, “Estimation of affective dimensions using CNN-based features of audiovisual data,” Pattern Recognition Letters, vol. 128, pp. 290-297, Sept. 2019. 
2. Tashrif Billah, S. M. Mahbubur Rahman, M. Omair Ahmad, and M. N. S. Swamy, “Recognizing distractions for assistive driving by tracking body parts,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 4, pp. 1048-1062, Apr. 2019.