Principal Investigator

Hussain Nyeem photo

Hussain Nyeem

PhD in Computational Intelligence and Signal Processing | Professor (Associate) at Military Institute of Science and Technology, Bangladesh
Dr. Hussain (Md. Abu) Nyeem is an Associate Professor in the Department of EECE at MIST, Bangladesh. He received his Ph.D. in EECS from QUT, Australia (2014, High Distinction) and a B.Sc. in ECE from KUET, Bangladesh (2007). His research focuses on image processing, particularly in biomedical image analysis, visual information protection, and vision-based decision systems. He has led the Visual Information Processing Lab at MIST since 2015, publishing over 40 peer-reviewed papers and receiving multiple best paper awards. Dr. Nyeem is a Senior Member of IEEE, Fellow of IEB, and Academic Editor of PLOS ONE.

Assistant Principal Investigator

Md. Abdul Wahed photo

Md. Abdul Wahed

Master of Science in Electrical Electronics and Communication Engineering | Assistant Professor at Military Institute of Science and Technology
Md. Abdul Wahed received his M.Sc. in EECE from the Military Institute of Science and Technology (MIST) in 2019 and his B.Sc. in EEE from Rajshahi University of Engineering & Technology (RUET) in 2013. He currently serves as an Academic Instructor at the Department of EECE, MIST, and the Bangladesh Military Academy (BMA). His research interests include digital image processing, information hiding, and machine learning. He is a member of IEEE and IEB. His ongoing project, “Reversible Data Hiding with Image Interpolation and Pixel-Value Ordering (PVO),” focuses on secure and efficient multimedia data embedding techniques.

Research Assistant

Tareque Bashar Ovi

Lecturer, Military Institute of Science and Technology

Graduate Student

Faiaz Hasanuzzaman Rhythm photo

Faiaz Hasanuzzaman Rhythm

Military Institute of Science and Technology
Faiaz Hasanuzzaman Rhythm is an undergraduate researcher in the Department of EECE at MIST, Bangladesh, specializing in deep learning, computer vision, and medical image segmentation. His works—UAPNet, DoubleUNet++, and MAGnet—explore attention mechanisms and multiscale feature learning for improved segmentation. He has presented at ECCE, ICAEEE, QPAIN, and TEHI. His thesis, “Advancing Stacked U-Nets with Cross-Stage Attention for Precise Road Mapping in Remote Sensing,” advances encoder–decoder architectures for remote sensing. As Chair of IEEE MIST SB and Ambassador for IEEE Bangladesh Section, he unites research and leadership to drive innovation in intelligent vision systems.

Alumni

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