Subhra Sankar Dhar

Subhra Sankar Dhar is an Associate Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur (IIT Kanpur). He has held academic positions at Presidency University and the University of Cambridge, and his expertise lies in non-parametric and robust statistical methods.

Education:

• PhD in Statistics, Indian Statistical Institute, Kolkata (2012)
• M.Sc. in Statistics, University of Calcutta (2005)
• B.Sc. (Hons.) in Statistics, Presidency College, Kolkata (2003)

Research Interests: His primary research focuses on multivariate quantiles and ranks, data depth, measures of association, and isotonic regression. Secondary interests include likelihood-based inference, Kaplan-Meier estimation, cluster analysis, and missing data analysis.

Publications: His recent work spans robust multivariate analysis, non-parametric testing, and robust estimation techniques, reflecting a deep commitment to advancing statistical theory and methodology.

Awards & Fellowships:

• CSIR-UGC Junior Research Fellowship (2005)
• ISI Kolkata Junior Research Fellowship (2005)
• Post-doctoral Fellowship, University of Cambridge (2011–2012)

Advising & Service: He has supervised numerous master’s projects and is currently supervising PhD students. He has served as a referee for top-tier journals and has been the convenor of STAMATICS, a departmental student group, since 2013. He is also a member of the Scholarship & Prizes Committee and the Seminar & Faculty Search Committee at IIT Kanpur.