Profile

Soumya Dutta

Los Alamos National Laboratory

Domain of Research: Machine Vision,Artificial Intelligence,Big Data,Computational Intelligence,Computational Learning Theory,Computer Vision,Data Mining,Data Science,Fuzzy Logic,High Performance Computing,Image Processing,Image Processing and Analysis,Image/Video Processing,Information Theory,Parallel Computing,Pattern Recognition

Soumya Dutta is a staff scientist in Data Science at Scale team at Los Alamos National Laboratory. He received his B.Tech. degree in Electronics and Communication Engineering from West Bengal University of Technology in August 2009, and M.S. and the Ph.D. degree in Computer Science and Engineering from the Ohio State University in May 2017 and May 2018 respectively. His research interests are statistical data summarization and analysis; in situ data analysis, reduction, and feature exploration; uncertainty analysis; and time-varying, multivariate data exploration. He received honorable mention award at IEEE Visualization 2016, best paper award at ISAV 2018, best paper award at TopoInVis 2019.