Prof. Dr. - Shalabh

Profile

Academic positionFull Professor
Research fieldsMathematical and Applied Statistics
KeywordsSampling theory, Forecasting, Econometrics, Linear regression models, Measurement error models
Honours and awards

2024: Excellence in Teaching Award from the Indian Institute of Technology Kanpur, Kanpur (India).

2023: Prof. K. Srinivasa Rao ISPS Best Researcher Award from Indian Society for Probability and Statistics (ISPS), India

2022: Distinguished Statistician Award from Indian Society for Probability and Statistics (ISPS), India

2022: National Award for eGovernance from the Department of Administrative Reforms & Public Grievances, Ministry of Personnel, Public Grievances & Pensions, Government of India.

2022: "Sanjay Mittal" Chair Professorship by the Indian Institute of Technology Kanpur (India)

2021: Distinguished Modellers Medal (Senior) from Indian Society for Mathematical Modeling and Computer Simulation, India

2018: Vigyan Ratna Samman (Jewel of Science Honor) award from Council of Science & Technology, Dept. of Science & Technology, Government of Uttar Pradesh, India

2017: "Pandit Girish Ranjan and Sushama Rani Pathak " Chair Professorship, from Indian Institute of Technology Kanpur (India)

2014: Young Researcher Award, fromthe International Indian Statistical Association, USA

Current contact address

CountryIndia
CityKanpur
InstitutionIndian Institute of Technology (IIT) Kanpur
InstituteDepartment of Mathematics
Homepagehttps://home.iitk.ac.in/~shalab/

Host during sponsorship

Prof. Dr. Helge ToutenburgInstitut für Statistik, Ludwig-Maximilians-Universität München (LMU), München
Prof. Dr. Christian HeumannInstitut für Statistik, Ludwig-Maximilians-Universität München (LMU), München
Start of initial sponsorship01/07/2006

Programme(s)

2006Humboldt Research Fellowship Programme

Publications (partial selection)

2008C.R. Rao, H. Toutenburg, Shalabh, and C. Heumann: Linear Models and Generalizations - Least Squares and Alternatives. Springer, 2008
2008Shalabh and C. Heumann: Recent Advances In Linear Models and Related Areas. Springer, 2008