Mentored several graduate students, including Xue Bai, Xinxin Ju, Mushfiqur Rahaman, Hamed Khosravi, Israt Zarin Era, Tasmiah Haque, and others.
Research Experience
Prior to joining WVU, he held lead R&D roles at Qualcomm and Atheros Communications, where he contributed to wireless modem and location technology chip design. His current research focuses on developing algorithms for time series analysis, including methods for forecasting, clustering, and synthetic data generation.
Education
He received his Ph.D. in Electrical Engineering and M.S. in Statistics from the University of California, San Diego, in 2018, and subsequently held a postdoctoral research position in the Department of Mathematics at UCSD until 2021.
Background
Srinjoy Das is an Assistant Professor of Data Science in the School of Mathematical and Data Sciences at West Virginia University. His research interests include time series analysis, emerging applications of machine learning, and mathematical foundations of data science.
Miscellany
Teaches courses such as Reproducible Data Science Using R, Statistical Machine Learning 1, and Introduction to Data Science.