Asim Roy

Asim Roy is a Professor of Information Systems at Arizona State University (ASU), specializing in Artificial Intelligence, Machine Learning, and Neuroscience. He holds a Ph.D. in Operations Research from the University of Texas at Austin and has held visiting roles at Stanford University and Oak Ridge National Laboratory.

Education: B.E. in Mechanical Engineering (Calcutta University), M.S. in Operations Research (Case Western Reserve University), Ph.D. in Operations Research (University of Texas at Austin).

Research Interests: Focus on Explainable AI (XAI), brain theories (localist representation, grandmother cells), neural networks, and optimization tools. He has pioneered software like IFPS/OPTIMUM and developed novel approaches in computer vision and cognitive systems.

Awards & Recognition: Listed in multiple Who's Who publications and recognized for contributions to AI and neuroscience. His theories challenge dominant connectionism frameworks and have been covered by Phys.org.

Editorial & Leadership Roles: Founded INNS sections on Autonomous Machine Learning, Explainable AI, and AI, Law, and Regulation. Guest Editor-in-Chief for multiple journals, including Frontiers in Psychology and Neural Networks. Served as conference chair and program co-chair for major events like IJCNN and WCCI.

Patents & Impact: Holds three U.S. patents on machine learning applications. His work has saved corporations millions through optimization systems and has been described as 'pioneering' by peers.