Biography

Dr. MohammadNoor Injadat, is an Assistant Professor and Program Coordinator for the BSc in Artificial Intelligence and the BSc in Computer Network Engineering Technology (CNET) in the Department of Computer Engineering and Computational Sciences; with the School of Engineering, Applied Science, and Technology; at Canadian University Dubai.  Dr. Injadat earned his Ph.D. in Electrical and Computer Engineering (Software Engineering – Artificial Intelligence and Machine Learning) from the University of Western Ontario, Canada, where his research focused on optimized machine learning models towards intelligent systems. His research interests include artificial intelligence, machine learning optimization, data mining, intrusion detection, software engineering, intelligent transportation systems, and educational data mining. He has extensive academic and professional experience over than 20 years, having taught undergraduate and graduate courses in Canada, Jordan, Saudi Arabia, and the UAE, and served as an Industrial Postdoctoral Associate on the London West 5 Smart City Project in collaboration with GM and Ford.

He has authored and co-authored numerous papers in leading Q1 journals and international conferences, including IEEE Transactions on Network and Service Management, IEEE Access, Artificial Intelligence Review, and Knowledge-Based Systems. In recognition of his global research impact, he has been ranked among the world’s top 2% most influential scientists by Stanford University and Elsevier for two consecutive years (2023 and 2024).
Dr. Injadat is also an active reviewer for high-impact journals and conferences such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Learning Technologies, IEEE Transactions on Network and Service Management, and the IEEE International Conference on Machine Learning and Applications (ICMLA).