Dr. Apurva Narayan
Assistant Professor
School of Engineering
Faculty of Applied Science
Dr. Apurva Narayan obtained his Ph.D. from the Department of Systems Design Engineering, University of Waterloo and his Bachelor’s degree in Electrical Engineering from Dayalbagh Educational Institute in 2015 and 2008 respectively. His PhD thesis was an archetype of a holistic systems approach for modeling and designing engineering systems under uncertainty. Dr. Narayan was a NSERC post-doctoral fellow with the Real-Time Embedded Systems Group in the Department of Electrical and Computer Engineering at the University of Waterloo.
Dr. Narayan’s research investigates artificial intelligence/machine learning with emphasis on explainable AI/ML and quantum machine learning, data mining, data analytics, safety and security of cyber physical systems, software engineering, graph theoretic analysis of complex systems, and decision-making under uncertainty. He has authored and co-authored more than 20 peer-reviewed publications in top-tier ACM/IEEE conferences and journals.
Dr. Narayan’s current research focuses on data mining, data analytics, and machine learning in context of safety, security and understanding complex Cyber Physical Systems. He is currently interested in developing models for reverse engineering complex software systems. He is also interested in developing interpretable/explainable machine learning models. These models could be used for anomaly detection, specification mining, cyber-physical system security, and other applications.
