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Kalyanmoy Deb Scientist

Kalyanmoy Deb is the Herman E. & Ruth J. Koenig Endowed Chair in the Michigan State University Department of Electrical and Computing Engineering. The endowed chair was established in 2001 to recognize Koenig’s scholarly and academic leadership achievements, and his progressive contributions to furthering engineering education. Prof. Deb is also a Professor at the Department of Computer Science and Engineering and Department of Mechanical Engineering at Michigan State University. Prior to this position, Prof. Deb was "Deva Raj" Endowed Chair Professor and later "Gurmukh and Veena Mehta" Endowed Chair Professor of the Department of Mechanical Engineering at Indian Institute of Technology Kanpur, India. His research lab is one of the premier places for evolutionary algorithms research in the world. Deb's book 'Multi-Objective Optimization using Evolutionary Algorithms' has become one of the most popular and highly cited books in the field of evolutionary computation. Deb had been judged as the Sociometric Superstar of the evolutionary computation field and has several honors to his credit, which include Shanti Swarup Bhatnagar award in engineering sciences in 2005, Thomson Citation Laureate award for his highly cited research in computer science during 1996–2005 and MCDM Edgeworth-Pareto Award for a record of creativity to the extent that the field of MCDM would not exist in its current form in 2008. Prof. Deb has been awarded the Infosys Prize in Engineering and Computer Science from Infosys Science Foundation, Bangalore, India for his contributions to the emerging field of Evolutionary Multi-objective Optimization (EMO) that has led to advances in non-linear constraints, decision uncertainty, programming and numerical methods, computational efficiency of large-scale problems and optimization algorithms. The award giving ceremony took place on 9 January 2012 in Bangalore. Prof. Deb is a highly cited researcher with 65,000+ Google Scholar citations and has a H-index of 85. His IEEE TEC paper on NSGA-II is the most popular evolutionary algorithm having more than 12,000 Google Scholar citations. Recently, he proposed an extended EMO method -- NSGA-III (to appear in IEEE TEC in 2014) -- for solving many-objective optimization problems involving 10+ objectives. Besides his fundamental contributions in evolutionary computation field, he has extensively worked with industries and is a consultant to a number of companies. His recently proposed "Innovization" concept for finding innovative solution principles through multi-objective optimization is extremely useful for practical problem solving tasks.