About

Chilukuri K. Mohan is a Professor in the Department of Electrical Engineering and Computer Science at Syracuse University, where he specializes in computational intelligence and its applications to complex real-world problems. His research spans the breadth of artificial intelligence, with a long-standing emphasis on neural networks, evolutionary algorithms, and anomaly detection. He is particularly recognized for his work on particle swarm optimization (PSO) and reinforcement learning, frequently applying these techniques to domains such as bioinformatics, cybersecurity, and social network analysis. As a core member of the SENSE (Syracuse Evolutionary and Neural Systems Exploration) Lab, Dr. Mohan explores the automated design of objects and the identification of behavioral patterns in large-scale datasets, including detectng authorship in source code. An IEEE Region 1 Technological Innovation Award recipient, he has co-authored influential textbooks, including Elements of Artificial Neural Networks, which has served as a foundational resource in the field since its publication by MIT Press.

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