معرفی
Sumona Mondal serves as Professor of Mathematics and Co-Director of the MS Program in Applied Data Science at Clarkson University, where she has been faculty since 2007. She is affiliated with the Coulter School of Engineering & Applied Sciences within the Department of Mathematics, contributing to both theoretical statistics and interdisciplinary applications.
Her educational foundation includes a Ph.D. in Statistics from the University of Louisiana at Lafayette, complemented by Bachelor of Science and Master of Science degrees in Statistics from the University of Calcutta, India.
Professor Mondal specializes in constructing tolerance regions for multivariate linear models, developing tolerance factors for multivariate normal distributions, and creating statistical methodologies for engineering failure prediction and pollution assessment. Her research extends to bio-engineering, environmental sciences, and physical therapy applications, focusing on robust inferential procedures for complex real-world problems. This work bridges theoretical statistics with practical implementations across diverse scientific domains.
Analysis of her recent publications (2021-2025) reveals a strong trend toward interdisciplinary collaboration, particularly in environmental monitoring (air quality sensor networks, PM2.5 analysis), health statistics (rheumatoid arthritis comorbidities, dental caries, HPV vaccination), and emerging fields like robotics acceptance and hate speech detection. Her methodological contributions consistently emphasize statistical rigor while addressing data challenges such as imbalanced datasets, correlated predictors, and low-cost sensor calibration.
As Co-Director of the MS Program in Applied Data Science, Professor Mondal actively shapes graduate education and mentors students in statistical methodology development. She maintains significant academic engagement through over 27 national and international conference presentations, demonstrating consistent scholarly productivity and community involvement.
