Dr. Shunmuga Velayutham C.
Asso. Professor
Computer Science
Amrita University - Amrita Vishwa Vidyapeetham
India
Biography
Dr. C. Shunmuga Velayutham currently serves as an Associate Professor in the Department of Computer Science & Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham. He has been affiliated with the Department of Computer Science & Engineering since 2005. He received his Ph.D. from Dayalbagh Educational Institute, Agra, Uttar Pradesh in 2005. His Ph.D thesis focussed on the effective design of Neuro-Fuzzy Systems and proposed a novel Asymmetric Subsethood Product Fuzzy Neural Inference System (AsuPFuNIS) with applications in function approximation, classification, prediction, control etc. His current research interests include Evolutionary Computation specifically, Visualizing Genetic and Evolutionary Computation, Population-algorithm based portfolios, Tuning-free evolutionary algorithms etc. He has supervised two Ph.D.s in the area of Differential Evolution based algorithm portfolios and is currently supervising a Ph.D. student in visual analysis of Differential Evolution search. He is also jointly supervising a Ph.D. student in Tuning-free Differential Evolution. He has served as a Reviewer for several international journals and conferences including IEEE Transactions on Fuzzy Systems, International Journal of Machine Learning and Cybernetics (Springer), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), and IEEE World Congress on Computational Intelligence WCCI 2016 (including Congress on Evolutionary Computation CEC 2016). Currently he is heading the Evolutionary Computation research group in the Department of Computer Science & Engineering. He has published several peer reviewed papers in International Journals and Conferences.
Research Interest
Evolutionary Computing
Publications
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Dr. Shyamala C. K., Dr. Shunmuga Velayutham C., and Dr. Latha Parameswaran, “Teaching computational thinking to entry-level undergraduate engineering students at Amrita Universityâ€, in IEEE Global Engineering Education Conference, EDUCON, 2017, pp. 1731-1734