Professor
4-283 CST
ckmohan@syr.edu
315.443.2322
Degree(s):
- Ph. D., State Univ. of New York at Stony Brook
- B.Tech., Indian Institute of Technology, Kanpur
Lab/Center Affiliation(s) :
- Syracuse Evolutionary and Neural Systems Exploration (SENSE) Lab
Areas of Expertise:
- Neural Networks
- Evolutionary Algorithms
- Bioinformatics
- Reinforcement Learning
- Anomaly Detection
Prof. Mohan has been conducting research on neural network algorithms and applications since 1990. He has also been a long-term contributor to the field of Evolutionary Algorithms, including Genetic Algorithms and Particle Swarm Optimization. He collaborates actively with researchers in the sciences, particularly on Bioinformatics research. His prior research also includes automated reasoning, network science, and anomaly detection algorithms (with financial and cybersecurity applications). His group’s current research topics include the automated design of objects (optimizing desired properties), the analysis of behaviors of autonomous individuals in networks, explainable reinforcement learning using Learning Classifier Systems, and code stylometry (to detect authorship).
Honors:
- IEEE Region 1 Technological Innovation (Academic) Award (“For development of novel algorithms in computational intelligence”), 2019
- Distinguished Scholar Award, International Society of Applied Intelligence, July 2011.
Selected Publications:
Books:
- Anomaly Detection Principles and Algorithms (K. Mehrotra, C. K. Mohan, and H. Huang), Springer, 2017
- Frontiers of Expert Systems: Reasoning with limited knowledge (C. K. Mohan), Kluwer, 2000
- Elements of Artificial Neural Networks (K. Mehrotra, C.K. Mohan and S. Ranka), MIT Press, 1997
Recent Papers:
- “Structural Optimization with Isogeometric Representation using an Evolutionary Approach” (S. Kalia, N. Padhye, and C. Mohan), in Proc. Genetic and Evolutionary Computation Conference (GECCO), 2024.
- “Learning-Based Resource Management in Integrated Sensing and Communication Systems” (Z. Lu, M.C. Gursoy, C. Mohan, and P. Varshney), IEEE Conference on Computer Communications (INFOCOM) Workshop, 2024.
- “Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals” (N. Rodrigues, N. Spanedda, C. Mohan, and A. Chakraborty), International Journal of Nuclear and Quantum Engineering, 18(3), 2024.
- “Dictionary Attack on IMU-based Gait Authentication” (R. Kumar, C. Isik, and C. Mohan), Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023.