Advances in Computational Modeling and Simulation

Dr. Rallapalli Srinivas is presently working as an assistant professor in the Department of Civil Engineering, BITS Pilani-Pilani Campus, Rajasthan (India). His research interests are watershed modeling and simulation, environmental hydrology, hydro-climatology, and fuzzy logic-based decision making. Before joining BITS, he worked at University of Minnesota (UMN) as a Postdoctoral researcher and course instructor, U.S.A and successfully completed a project namely developing a field-scale optimized watershed modeling framework. He obtained his M.E (Civil Engineering with specialization in Infrastructure Systems) from Birla Institute of Technology and Science, Pilani in 2014, and B.E Hons. (Civil Engineering) and M.Sc. Hons. (Mathematics) from the same Institute in 2012. He was nominated by UMN Water Resources Center to represent the university at Michigan Data Science Symposium in 2019. He has also been invited to deliver keynote lectures at University of Michigan, University of Wisconsin, Iowa State University, National Resources Conservation Services (USA), Minnesota Association of Watershed Districts (USA) and Incessant Ganga Conference, Bihar Government (India).He has published over 30 papers in journals and conferences of international repute. Dr. Srinivas is a member of Soil and Water Conservation Society (USA), American Society of Civil Engineers, and the Institution of Engineers. For his research and teaching, he is actively collaborating with University of Minnesota, University of Wisconsin, Iowa State University and Minnesota Board of Water and Soil Resources. He is also a reviewer of leading journals such as Journal of Hydrology, Science of the Total Environment, Water Environment Research and Environmental Development and Sustainability. He has also done significant work on water quality modeling and simulation of River Ganga during his Ph.D. titled as 'Multi-criteria decision analysis and modeling for water quality management in Ganga river basin'.

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.