Dr. Rituparna Datta is a Post-doctoral researcher with Graduate School of Knowledge Service Engineering, Department of Industrial & Systems Engineering, KAIST. Prior to that, he was a Post-doctoral fellow in INRIA, France, Project scientist in SMSS lab, IIT Kanpur, India and Postdoctoral research fellow with the Robot Intelligence Technology (RIT) Laboratory, Korea Advanced Institute of Science and Technology (KAIST). He earned his PhD in Mechanical Engineering at Indian Institute of Technology (IIT) Kanpur in 2013. His current research work involves investigation of Evolutionary Algorithms-based approaches to constrained optimization, applying multi-objective optimization in engineering design problems, surrogate-assisted optimization, memetic algorithms, derivative-free optimization, and robotics. 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), Delft University of Technology (TUDELFT), University of Western Australia (UWA), University of Minho, Portugal, University of Nova de Lisboa, Portugal, University of Coimbra, Portugal, and IIT Kanpur, India. 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 2014), iNaCoMM2013, GECCO 2013, GECCO 2012, GECCO 2011, 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 ACODS 2014 and UKIERI Workshop on Structural Health Monitoring 2012, GECCO 2011, IICAI 2011 to name a few.