Brief Introduction

Professor of Statistics and Dean of Academic Affairs


Research Area : Statistics and Data Science
Office Location : Faculty Building, FB584

Mailing Address :
    Department of Mathematics & Statistics
    Indian Institute of Technology Kanpur
    Kanpur 208016

E-mail: , 


Telephone Numbers :

    (Office) : + (91) (512) 6797905, 2597905 [Direct],

                   + (91) (512) 6797636, 2597636 [Office]

    (Home) : + (91) (512) 6798238, 2598238


Fax (Office) : + (91) (512) 6797500, 2597500                                                                                                                                                              

Social Media :   Facebook : shalabh.shalabh 


                         Linkedin : shalabh1                                                                                                                                                                Homepage: My Father Professor V.K. Srivastava

                         Twitter: shalabhtweet


Professor Shalabh is well-known in the field of statistics and data science and is currently serving as a professor at the Indian Institute of Technology Kanpur. He earned his M.Sc. and Ph.D. in Mathematical Statistics from the University of Lucknow with Post-doctoral from the University of Pittsburgh in the USA (BOYSCAST fellowship)  and the University of Munich in Germany (Humboldt fellowship), where he developed his expertise in statistical methodologies and data analysis. He has a career that spans over 27 years of teaching and research experience.  Throughout his tenure at IIT Kanpur, Professor Shalabh has held important administrative positions. Currently serving as the Dean of Academic Affairs, he has been a member of the Board of Governors, Chairman, and Vice Chairman of the Joint Entrance Examination (JEE) Advanced, and has worked in numerous institute-level committees. Notably, his leadership as the Organizing Chairman of JEE (Advanced) in 2018 transformed the pen-and-paper-based examination into a computer-based examination, revolutionizing the examination landscape in India. Professor Shalabh has published over 120 research papers and four books. One of his books has been downloaded more than 5.4 millions times. He's won awards like the National Award for eGovernance, Professor CR Rao National Award in Statistics, Mahalanobis Memorial Medal, among others. He has been the associate editor of esteemed journals like the Journal of Multivariate Analysis. Professor Shalabh's impact on societal welfare and eGovernance is clear through his research projects in using the power of artificial intelligence and data science to analyze grievances, thereby empowering citizens across India. His collaborative projects with governmental bodies such as the Ministry of Defense and the Department of Administrative Reforms and Public Grievances underscore his research for societal good. As a member of various national-level committees, Professor Shalabh continues to shape policies and initiatives in education and governance, Through his multifaceted contributions, Professor Shalabh exemplifies the ethos of academic excellence, leadership, and service to society.

Fellowships, Awards and Recognition

Books and Research Papers

 Projects and Consultancy

Foreign Visits and Research Assignments

Involvement in National Level Committees

Editorial and Review Work

Administrative Experience

Research Interests

Academic Qualifications

Invited Talks, FDPs, Seminars and Webinars

Work Experience

Book Reviews

Conferences and Workshops Attended

Professional Affiliations

 Research Supervision

Teaching Courses 

Teaching Experience

Swayam Prabha Channel Courses

Conduct of Distance Learning, MOOC and Web Based and Video Courses

Organization of Workshops, Training Programs, FDPs and Lecture Series

Academic Involvement in Other Institutions

 Online Course Material


Swayam MOOC Courses


Essentials of Data Science With R Software-1: Probability and Statistical Inference



Essentials of Data Science With R Software-2: Sampling Theory and Linear Regression Analysis



Multivariate Procedures with R



Duration: 12 Weeks - 30 Hours  22 January - 12 April, 2024






Last updated: 31 March, 2024