Reshma Kar, Ph.D.
Assistant Professor, Data Science Institute
About
Dr. Kar is a committed academician with knowledge of cutting-edge technologies in data science. In her current position as assistant professor at the Data Science Institute, she is lecturing on various graduate level courses.
Before joining Saint Peter’s, she was a project fellow and senior project fellow at Jadavpur University, Kolkata, India where she concurrently, served guest faculty and earned her doctoral degree in engineering with more than 20 publications in reputed venues. Apart from research and teaching, she was involved in helping master’s and bachelor’s students complete research projects and learn programming.
Her current research interests are health informatics and machine learning.
Awards & Publications
AWARDS
Regional i-Corps Grant: National Science Foundation
- Interpretable Machine Learning For Diabetes Prediction (Summer Cohort 2024)
Faculty Research Associate Awards at Saint Peter’s University
- Classifying COVID-19 related information available on Twitter using Natural Language Processing Techniques (Academic Year 2023-2024)
- A Novel Interpretable Machine Learning Algorithm for Hospital Cost Prediction (Academic Year 2024-2025)
- Interpretable Machine Learning for Motor Activity Detection from Brain Signals (Academic Year 2025-2026)
Best Paper Awards
- AMIA 2020 Informatics Summit, Houston, TX, USA, March 2020.
- 2nd International Conference on Control, Instrumentation, Energy and Communication, Calcutta University, Kolkata, India, January 2016.
SELECTED PUBLICATIONS
Conferences
- Reshma Kar, Eslin Kiran Ilangovan, Gulhan Bizel, and Braja Gopal Patra. 2025. An Evolutionary Approach to Interpretable Machine Learning for ICU Length of Stay Prediction. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO2025). ACM, M`alaga, Spain. (Accepted).
- Reshma Kar, Vijay Kumar Reddy Voddi, Braja Gopal Patra, and Jyotishman Pathak. (2023). CoRL: A Cost-Responsive Learning Optimizer for Neural Networks. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Hawaii, USA
Journal and Book Chapter
- Reshma Kar, Shivani Muchandi, Ritesh Kumar Bhawarlal, and Gulhan Bizel. (2025). SCoPE: A Resume-Driven Job Recommendation Technique. International Journal of Social and Humanistic Computing, Inderscience. (Accepted)
- Reshma Kar, Venu Devadi, Gulhan Bizel, Jyotishman Phatak, and Braja Gopal Patra. (2025). Information Management using Natural Language Processing: A COVID-19 Case Study. Advances in Healthcare using Machine Learning, Taylor and Francis. (Accepted)
Full list available at Google Scholar.