جست‌وجوی استاد و پژوهشگر

• Discriminant Analysis
• Inference based on Data Depth
• Characterization of Multivariate Distributions
• +۱ مورد دیگر

Subhajit Dutta is an Associate Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur. He has established himself as a notable researcher in specialized statistical methodologies with publications in top-tier statistical journals. Dr. Dutta completed his PhD in Statistics from the Indian Statistical Institute (ISI), Kolkata in 2013 under the supervision of Prof. Probal Chaudhuri. His academic journey includes an M.Sc. in Statistics from IIT Kanpur (2007) and a B.Sc. in Statistics from Presidency College, University of Calcutta (2005). He also pursued post-doctoral research at KAUST with Prof. Marc G. Genton. His research focuses on advanced statistical methodologies, particularly in Discriminant Analysis, Inference based on Data Depth, Characterization of Multivariate Distributions, and Classification of Sequence Data. His work bridges theoretical statistics with practical applications, developing robust methods for complex data analysis problems across various scientific domains. Dr. Dutta's publication record shows consistent progression from foundational properties of statistical depth functions to practical applications in classification and sequence analysis, demonstrating both theoretical depth and practical relevance in his scholarly contributions. As a faculty member at IIT Kanpur, one of India's premier technical institutions, Dr. Dutta contributes to both teaching and research in the Department of Mathematics and Statistics, helping to advance statistical science education and methodology development.

Subhra Sankar Dharمشاهده پروفایل

دانشیار

• Non-parametric statistics
• Robust statistical methods
• Multivariate quantiles and ranks
• +۷ مورد دیگر

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.