About Abdulmotaleb El Saddik
Professor Abdulmotaleb El Saddik is the Acting Department Chair and Professor in the Computer Vision Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Before joining MBZUAI, Professor Abdulmotaleb El Saddik served as a Distinguished University Professor and University Research Chair in the School of Electrical Engineering and Computer Science at the University of Ottawa. He is an internationally recognized scholar who has made strong contributions to the knowledge and understanding of intelligent multimedia computing, communications, and applications. His research focus is on the establishment of digital twins to enhance the quality of life of citizens using artificial intelligence (AI), Internet of Things (IoT), SN, augmented reality (AR)/virtual reality (VR), haptics and 5G to allow people to interact in real-time with one another as well as with their smart digital representations in a secure manner.
He is the designated Editor-in-Chief of the ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), Senior Associate Editor of IEEE Multimedia (IEEE MM), and Guest Editor for several transactions and journals. He has co-authored 10 books and more than 600 publications as well as chaired more than 50 conferences and workshops. He has supervised more than 150 researchers. Prof. El Saddik has received research grants and contracts totaling more than $20 million. He is the author of the book Haptics Technologies: Bringing Touch to Multimedia.
El Saddik is a Fellow of the Royal Society of Canada, Fellow of IEEE, Fellow of the Canadian Academy of Engineering and Fellow of the Engineering Institute of Canada. He is an ACM Distinguished Scientist and has received several awards, including the Friedrich Wilhelm Bessel Award from the German Humboldt Foundation, the IEEE Instrumentation and Measurement Society Technical Achievement Award. He also received IEEE Canada C.C. Gotlieb (Computer) Medal and A.G.L. McNaughton Gold Medal for important contributions to the field of computer engineering and science and the IEEE TCSC Achievement Award for Excellence in Scalable Computing.
|Acting Department Chair and Professor, Mohamed bin Zayed University of Artificial Intelligence ‐ Department of Computer Vision
Professional Service and Affiliations
|Editor-in-Chief, ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM)
|Senior Associate Editor, IEEE Multimedia (IEEE MM)
Honors and Awards
- Friedrich Wilhelm Bessel Award from the German Humboldt Foundation
- The IEEE Instrumentation and Measurement Society Technical Achievement Award
- The IEEE Canada C.C. Gotlieb (Computer) Medal
- A.G.L. McNaughton Gold Medal for important contributions to the field of computer engineering and science
- The IEEE TCSC Achievement Award for Excellence in Scalable Computing
Journal Articles (6)
Digital Twin of Atmospheric Environment: Sensory Data Fusion for High-Resolution PM2.5 Estimation and Action Policies Recommendation IEEE Access (2023)
Particulate matter smaller than 2.5 microns (PM2.5) is one of the main pollutants that has considerable detrimental effects on human health. Estimating its concentration levels with ground monitors is inefficient for several reasons. In this ...
Towards a Machine Learning-Based Digital Twin for Non-Invasive Human Bio-Signal Fusion Sensors (2022)
Human bio-signal fusion is considered a critical technological solution that needs to be advanced to enable modern and secure digital health and well-being applications in the metaverse. To support such efforts, we propose a new ...
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse IEEE Consumer Electronics Magazine (2022)
The advances in Artificial Intelligence (AI) have led to technological advancements in a plethora of domains. Healthcare, education, and smart city services are now enriched with AI capabilities. These technological advancements would not have been ...
Deep learning in multimedia healthcare applications: a review Multimedia Systems (2022)
The increase in chronic diseases has affected the countries’ health system and economy. With the recent COVID-19 virus, humanity has experienced a great challenge, which has led to make efforts to detect it and prevent ...
A Comprehensive Survey on Multimodal Medical Signals Fusion for Smart Healthcare Systems Information Fusion (2021)
Smart healthcare is a framework that utilizes technologies such as wearable devices, the Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless communication technology to seamlessly access health records, link individuals, resources, and ...
Conference Proceedings (3)
A Detailed Analysis of Qualitative and Quantitative Factors in Realization of 6G Communication 2022 9th International Conference on Internet of Things, Systems, Management and Security, IOTSMS 2022 (2023)
Undoubtedly, the world has so far faced a pandemic which is reshaping daily lives and business activities. Even at current endemic stages, special focus on maintaining physical distancing norms for curbing the expeditious spread of ...
AI-based Blockchain for the Metaverse: Approaches and Challenges 2022 4th International Conference on Blockchain Computing and Applications, BCCA 2022 (2022)
The recent advances in AI have enabled novel approaches and remarkable enhancements in the provision of existing services and applications. The metaverse is one of the emerging applications that got the advantages of this technological ...
RailTwin: A Digital Twin Framework For Railway 18th IEEE International Conference on Automation Science and Engineering (2022)
This study aims at providing a conceptualized framework for railway to realize the Digital Twin (DT) beyond traditional structural modeling or information systems. First, we deduce a generic formula that shows that DT estimates the ...
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks arXiv (2022)
Salient Object Detection (SOD) is a popular and important topic aimed at precise detection and segmentation of the interesting regions in the images. We integrate the linguistic information into the vision-based U-Structure networks designed for ...