Prof S. N. Singh obtained his M. Tech. and Ph. D. in Electrical Engineering from Indian Institute of Technology Kanpur, in 1989 and 1995, respectively. Presently, he is the Vice-Chancellor, Madan Mohan Malviya University of Technology, Gorakhpur (on leave from Professor (Higher Academic Grade) in the Department of Electrical Engineering, Indian Institute of Technology Kanpur, India). Before joining IIT Kanpur as Associate Professor, Dr Singh worked with UP State Electricity Board as Assistant Engineer from 8-8-1988 to 13-6-1996, with Rookree University (Now IIT Rookree) as Assistant Professor from 14-6-1996 to 1-1-2001 and with Asian Institute of Technology, Bangkok, Thailand as Assistant Professor from 2-1-2001 to 4-4-2003. Dr Singh received several awards including Young Engineer Award 2000 of Indian National Academy of Engineering, Khosla Research Award of IIT Roorkee, and Young Engineer Award of CBIP New Delhi (India), 1996. Prof Singh received the Humboldt Fellowship of Germany (2005, 2007) and Otto-monsted Fellowship of Denmark (2009-10).
His research interests include power system restructuring, FACTS, power system optimization & control, power quality, wind power, etc. Prof Singh is a Fellow of Indian National Academy of Engineering, a Fellow of Institution of Electronics and Telecommunication Engineers (IETE) India, a Fellow of IEEE, USA, a Fellow of the Institution of Engineering & Technology (UK) and a Fellow of the Institution of Engineers (India).
Prof Singh has published more than 450 papers in International/national journals/conferences. He has also written two books one on Electric Power Generation, Transmission and Distribution and second is Basic Electrical Engineering, published by PHI, India.
Dr Singh received 2013 IEEE Educational Activities Board Meritorious Award in Continuing Education, which is a very prestigious award, first time by a person of R10 region (Asia-Pacific). He received INAE Outstanding teacher Award 2016 and IEEE R10 Outstanding Volunteer Award 2016. Currently, He is IEEE R10 Vice-Chair, Technical Activities for 2019-2020 and India Council Chair 2019-2020.
Intelligent System Applications in Solving Engineering Problems
Due to increased complexity of the systems, cost reduction and detail modeling of the systems, the requirements of optimization have been increased. The conventional methods, which guarantee to provide the optimal solution, fail to solve many practical problems due to several requirements of these methods. The most familiar conventional optimization techniques fall in two categories viz. calculus based method and enumerative schemes. Though well developed, these techniques possess significant drawbacks. Calculus based optimization generally relies on continuity assumptions and existence of derivatives. Enumerative techniques rely on special convergence properties and auxiliary function evaluation. Moreover, these optimizations are generally single path search and stuck with the local optima.
Intelligent based optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO), bacteria foraging, ant colony, neural networks, etc. are multi-path search and provide solutions near to the global optima. They do not require derivatives of objective function and constraints. This presentation briefly covers some of the important techniques of optimization along with scope and future challenges.