Distinguished Professor at Indian Institute of Technology Kanpur, India
Professor Debasis Kundu is a highly acclaimed academic in the field of statistics and mathematics, presently serving as a Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur. With a remarkable academic journey spanning over three decades, he has made extensive contributions to statistical signal processing, distribution theory, and reliability analysis. His scholarly output is reflected in an impressive citation count of over 20,000, an h-index of 68, and an i10-index of 237, which demonstrate his influence and leadership in statistical research. Through his research, mentorship, and administrative roles, Professor Kundu has made a profound impact on the academic and applied dimensions of statistics, both in India and internationally.
Profile
Scopus
Education
Professor Kundu’s academic foundation is grounded in rigorous statistical training, beginning with a B.Stat. in 1982 and an M.Stat. in 1984 from the Indian Statistical Institute, a premier institute for statistical research in India. His academic pursuits extended internationally as he earned an M.A. in Mathematics from the University of Pittsburgh in 1985. He later completed his Ph.D. in Statistics from Pennsylvania State University in 1989 under the supervision of the legendary statistician Prof. C.R. Rao. His doctoral research, titled “Results in Estimating the Parameters of Exponential Signals in Presence of Noise”, laid the groundwork for his future contributions to statistical signal processing and distribution theory.
Experience
Professor Kundu’s professional trajectory is marked by several prestigious academic positions. After beginning his career as a Teaching and Research Assistant in the United States, he held tenure-track faculty positions at the University of Texas at Dallas before returning to India in 1990 to join IIT Kanpur. Over the years, he rose through the ranks from Assistant Professor to Professor with Higher Academic Grade, reflecting his academic excellence and leadership. He has held numerous visiting scientist and professor positions across reputed institutions globally, including McMaster University, University of Texas at San Antonio, and Pennsylvania State University. He has also served in major administrative roles such as Head of Department and Dean of Faculty Affairs at IIT Kanpur.
Research Interest
Professor Kundu’s research interests lie primarily in statistical signal processing, distribution theory, and reliability and survival analysis. He is widely known for his work on parameter estimation of chirp signal models, censoring schemes, and failure rate-based models. His contributions have led to the development of new statistical methods and inference techniques that have applications in engineering, medical statistics, and data science. The depth and diversity of his research are evident from the doctoral dissertations he has supervised, ranging from signal processing to accelerated life testing models and statistical inference on non-regular families of distributions.
Award
Professor Kundu’s academic excellence has been recognized through numerous prestigious honors. He was elected a Fellow of the National Academy of Sciences, India, in 2001 and of the Royal Statistical Society, London, in 2003. He received the first Distinguished Statistician Award from the Indian Society of Probability and Statistics in 2014 and the Professor P.C. Mahalanobis Distinguished Educator Award from the Operational Research Society of India in 2017. IIT Kanpur honored him with the Excellence in Teaching Award in 2019 and the Distinguished Teacher’s Award in 2022. His endowed chair professorships—such as the USV, Arun Kumar, and Rahul-Namita Gautam Chairs—highlight the esteem in which he is held within the academic community.
Publication
Professor Kundu has authored over 250 peer-reviewed journal articles, contributing significantly to theoretical and applied statistics. Among his highly cited publications are:
“Analysis of progressive hybrid censoring schemes”, published in Computational Statistics & Data Analysis (2011), cited by 485 articles.
“Generalized exponential distribution: Statistical properties and applications”, in Journal of Statistical Planning and Inference (1999), cited by 620 articles.
“Modified Weibull distribution and its applications”, in IEEE Transactions on Reliability (2005), cited by 540 articles.
“Bivariate generalized exponential distribution”, in Journal of Multivariate Analysis (2004), cited by 410 articles.
“Likelihood inference based on Type-II hybrid censored data”, in Biometrical Journal (2007), cited by 370 articles.
“Analysis of chirp signal models”, in Signal Processing (2002), cited by 395 articles.
“On progressively Type-II censored data with binomial removals”, in Statistical Papers (2009), cited by 355 articles.
Conclusion
Professor Debasis Kundu is a luminary in the field of statistics, whose career is defined by excellence in research, teaching, and institutional leadership. His contributions to statistical signal processing and distribution theory continue to guide young researchers and professionals worldwide. Through extensive collaborations, visiting appointments, and keynote lectures, he has fostered academic exchange and elevated India’s presence in global statistical communities. His enduring legacy is reflected in his numerous citations, the success of his doctoral students, and the impact of his scholarly contributions on theory and practice alike.