KCB 635
Time Series, Statistical Learning, Subordinated Stochastic Processes, Applied Probability, Stein Method
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Dr. Neelesh Shankar Upadhye is a Professor in the Department of Mathematics at the Indian Institute of Technology Madras. He earned his Ph.D. from the Indian Institute of Technology Bombay in 2009. His research interests encompass applied probability, data science, statistical learning, and time series analysis. Dr. Upadhye has contributed to over 34 journal articles and 4 conference proceedings between 2007 and 2024, accumulating 333 citations with an h-index of 12. He has supervised multiple doctoral theses and is currently leading a research project on computational mathematics and data science, funded by the Ministry of Education, India, from 2021 to 2026.
Previous Courses
The course aim to discuss the stochastic methods in Inventory theory and Reliability theory
The course is designed to demonstrate the state-of-the art concepts in Data Analysis and Visualizations using R and Python.
RAJU CHOWDHURY (Submitted Thesis)
BRAJESH KUMAR DHAKAD (Joint Student with Jayant Jha from ISI Kolkata)
APARNA B S (Assistant Professor in ...)
Sheshmani Maurya (Current)
Umesh Bhatt (Current)
Rohit Mani (Current)
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