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Dr. Rajesh Kumar is currently an assistant professor at Department of Mathematics, BITS Pilani, Pilani Campus, Rajasthan, India. He obtained his M.Sc. in Applied Mathematics from IIT Roorkee. Further, he was selected for prestigious Erasmus Mundus fellowship and received Double Degree M.Sc. in "Industrial Mathematics: Modelling and Scientific Computing" from Technical University of Kaiserslautern, Germany and Johannes Kepler University of Linz, Austria. Then, he finished his PhD from Otto-von-Guericke University Magdeburg, Germany followed by Scientific Collaborator positions at MOX Milano Italy, EPFL Switzerland and continued further to work as a Research Scientist at Johann Radon Institute for Computational and Applied Mathematics (RICAM) Austria. During his educational tenure, he was recipient of Deutsche Forschungsgemeinschaft (DFG) fellowship by German Research Council and also got financial support by Austrian academy of sciences just to name a few. His major areas of research interests include "Mathematical and Numerical Analysis of Integro-Partial Differential Equations, Finite Volume Schemes, Low Rank Tensor Approximations and Uncertainty Quantifications". He has published 15 papers in respected international journals and organized several national and international workshops in the area of his research expertise.
Dr. Mainak Dutta is currently an assistant professor at the Department of Biotechnology, Birla Institute of Technology and Science, Pilani - Dubai. He was awarded Ph.D. from the Indian Institute of Technology Kharagpur, India. Dr. Dutta is the recipient of Fulbright USA Doctoral Research Fellowship, United States-India Educational Foundation (USIEF), 2014 and Sigma Xi Grants-in-Aid for graduate research, Sigma Scientific Research Society, USA, 2015. He has published more than 23 research articles in reputed peer-reviewed journals. His research interests lie in the use of proteomics, metabolomics and lipidomics approaches to study human diseases. In addition, he is also interested in computational approaches to drug design.
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