Profile

Rituparna Datta

KAIST

Domain of Research: Evolutionary COmputation

Dr. Rituparna Datta is working as Operations Research Scientist in Boeing Research & Technology (BR&T), BOEING, Bangalore. Prior to that, he was a Post-doctoral researcher with Graduate School of Knowledge Service Engineering, Department of Industrial & Systems Engineering at Korea Advanced Institute of Science and Technology (KAIST), Post-doctoral fellow in French Institute for Research in Computer Science and Automation (Institut national de recherche en informatique et en automatique, INRIA), France, Project scientist in SMSS lab, IIT Kanpur, India and Postdoctoral research fellow with the Robot Intelligence Technology (RIT) Laboratory at KAIST. He earned his Ph.D in Mechanical Engineering at Indian Institute of Technology (IIT) Kanpur in 2013. His current research work involves investigation of efficient algorithm for engineering optimization, evolutionary computation, constrained optimization, multi-objective optimization, surrogate-assisted optimization, memetic algorithms, derivative- free optimization, and knowledge extraction from data, manufacturing and robotics. His research has been published in eight international SCI journals (most of them are in top 20 in the appropriate field, according to google scholar ranking) with few under reviews, two edited books with Springer (one of them is the first book in the Infosys Science Foundation Series), four book chapters, around twenty five international conferences, and more than ten national conferences. He is a member of ACM, IEEE, and IEEE Computational Intelligence Society. He has been invited to deliver lectures in several institutes and universities across the globe, including at the Trinity College Dublin (TCD), Ireland, Delft University of Technology (TUDELFT), the Netherlands, University of Western Australia (UWA), University of Minho, Portugal, University of Nova de Lisboa, Portugal, University of Coimbra, Portugal, Korea Railroad Research Institute (KRRI), Korea, Korea University and IIT Kanpur, India to name a few. He is a regular reviewer of IEEE Transactions on Evolutionary Computation, Journal of Applied Soft Computing, Journal of Engineering Optimization, Journal of The Franklin Institute, and International Journal of Computer Systems in Science and Engineering, and was in the program committee of Genetic and Evolutionary Computation Conference (GECCO 2011 - 2018), CEC (2015 – 2018), iNaCoMM2013, eighth international conference on Simulated Evolution And Learning (SEAL 2010), international conference on molecules to materials (ICMM-06), and some Indian conferences. He has also chaired session in GECCO 2017, ACODS 2014 and UKIERI Workshop on Structural Health Monitoring 2012, GECCO 2011, IICAI 2011 to name a few.