Edward Sazonov (IEEE M’02, SM’11) received the Diploma of Systems Engineer from Khabarovsk State University of Technology, Russia, in 1993 and the Ph.D. degree in Computer Engineering from West Virginia University, Morgantown, WV, in 2002. Currently he is a Professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa, AL and the head of the Computer Laboratory of Ambient and Wearable Systems (http://claws.eng.ua.edu). His research interests span wireless, ambient and wearable devices, and methods of biomedical signal processing and pattern recognition. Devices developed in his laboratory include a wearable sensor for objective detection and characterization of food intake; a highly accurate physical activity and gait monitor integrated into a shoe insole; a wearable sensor system for monitoring of cigarette smoking; and others. His research has been supported by the National Science Foundation, National Institutes of Health, National Academies of Science, as well as by state agencies and private industry.
Contact info:
3008 SERC
Tuscaloosa, AL, 35487
Phone: (205) 348-1981
Web: http://claws.eng.ua.edu
Email:
n is a PhD student at the Department of Electrical and Computer Engineering, University of Alabama. He acquired his B.Sc. degree in Electrical and Electronic Engineering from Ahsanullah University of Science and Technology, Bangladesh. He worked as a Research Engineer for one and half years at AIMS Lab, United International University, Bangladesh prior to joining at UA. His research interests include machine learning and deep learning algorithms, 3D modeling, computer vision, and speech technology.
Aqsa Yousaf received her bachelor’s degree in EE from the University of Engineering & Technology, Pakistan in 2018. She completed her Master’s in Computer Science from the Pakistan Institute of Engineering & Applied Sciences in 2020. Afterward, she worked as a computer vision engineer at a construction cameras company, Evercam. Currently, she is a PhD student in the ECE department at the University of Alabama, Tuscaloosa, AL, USA. Her research interests include Machine learning, Image processing, Computer vision, Sensor signal processing, and Deep learning. 
Mr. Hossain received a Baccalaureate in ECE from KUET, Khulna, Bangladesh. Afterward, he worked for five years as a lecturer in the Electrical Engineering department at Manarat International University (MIU), Dhaka. In 2020, he received his M.S. in Electrical Engineering from The University of Akron, OH. Hossain is a Ph.D. student at the Department of ECE at the University of Alabama, AL. Mr. Hossain's research interest includes the Application of Machine Learning for mHealth, Wearable Sensor Devices; Data Security; Digital Image and Signal Processing; FPGA-based SoC Design; and Computer Networks.
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. 
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. 
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).