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M. Shamim Hossain

M. Shamim Hossain received his Ph.D. in Electrical and Computer Engineering from the University of Ottawa, Canada. He is currently a Professor with the Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. He is also an adjunct professor with the School of Electrical Engineering and Computer Science, University of Ottawa, ON, Canada.

He has authored and co-authored more than 300 publications. Recently, he has co-edited a book on “Connected Health in Smart Cities”, published by Springer. He has served as the cochair, the general chair, the workshop chair, the publication chair, the publicity chair and the TPC for several IEEE and ACM conferences, symposiums and workshops. He is currently the chair of the IEEE Special Interest Group on Artificial Intelligence (AI) for Health with IEEE ComSoc eHealth Technical Committee. He was the recipient of a number of awards, including the Best Conference Paper Award, the 2016 ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) Nicolas D. Georganas Best Paper Award, the 2019 King Saud University Scientific Excellence Award (Research Quality), and the Research in Excellence Award from the College of Computer and Information Sciences (CCIS), King Saud University (3 times in a row). His research interests are on cloud networking, smart environment (smart city, smart health), AI, deep learning, edge computing, Internet of Things (IoT), multimedia for health care, and multimedia big data

He is on the editorial board of the IEEE Wireless Communications, IEEE Network, IEEE Transactions on Multimedia, IEEE Multimedia, IEEE Access, and the Journal of Network and Computer Applications. He serves/served as a lead guest editor for the IEEE Communications Magazine, IEEE Transactions on Information Technology in Biomedicine (currently JBHI), IEEE Transactions on Cloud Computing, ACM Transactions on Internet Technology, and ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). He is a senior member of both the IEEE, and ACM. He is an IEEE ComSoc Distinguished Lecturer (DL) for 2021-2022.

Lecture Topics
  • Explainable AI for digital health
  • B5G-based healthcare Vertical
  • Advanced deep learning techniques for healthcare
  • AI-IoT for healthcare 
  • Meta learning for connected health
  • Edge-learning for healthcare
Email Address
Lecture Term Date
Saudi Arabia