Delwar Hossain received his B.Sc degree in Electrical and Electronic Engineering from KUET, Bangladesh. Currently, he is pursuing his P.hD degree under the supervision of Dr. Edward Sazonov. His research interests include the development of wearable systems, signal processing, machine learning, and deep learning algorithms for preventive, diagnostic, and assistive health technology with a special focus on physical activity and dietary intake monitoring.
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Viprav Raju received his bachelor’s degree in electrical and computer engineering from the Visvesvaraya Technological University (VTU), India. He received his M.S. degree in electrical engineering and is currently pursuing a Ph.D. degree in electrical engineering at the University of Alabama, Tuscaloosa, AL, USA. His research interests include computer vision image processing, sensor networks, machine learning, and deep learning. His current area of focus is dietary assessment and image-based food intake monitoring. Outside of work, he enjoys yoga, football, chess, and hiking with his dog.
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Tonmoy Ghosh received his B.Sc. and M.Sc. in electrical and electronic engineering (EEE) from the Bangladesh University of Engineering and Technology (BUET), Bangladesh in 2012 and 2016, respectively, and Ph. D. in Electrical Engineering from the University of Alabama, Tuscaloosa, AL, in December 2022. His research interests include applying signal processing and machine/deep learning-based method to address engineering problems in images, wearable sensors, and interdisciplinary research focusing on computer-aided detection and health monitoring applications. Tonmoy Ghosh has published over 45 refereed papers. He is a reviewer for several journals, including IEEE, Elsevier, and other publications. He also serves as a project reviewer for the IEEE Signal Processing Society for Humanitarian Activity Committee (SPS-HAC).
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