Joshua DeOliveira, Sajal Chakroborty, Walter Gerych,Elke Rundensteiner, Neural Tangent Kernels under Stochastic Data augmentation, accepted for publication in the Proceedings of the AAAI Conference on Artificial Intelligence, 2026.
Sajal Chakroborty, A hybrid deep learning framework for early detection of Mpox using image data. Healthcare Analytics (2025): 100396.
Leonardo H. Wei, S. Sudeesh, Sajal Chakroborty, and Suman K. Chowdhury, A comprehensive methodological framework for 3D head anthropometric shape modeling of a small dataset. Ergonomics (2025): 1-16.
Eric Warnemunde Vertina, Sajal Chakroborty, Emily Sutherland, N. Aaron Deskins, and Oren Mangoubi, MXene Material Property Prediction via Transfer Learning with Graph Neural Networks. 2025 IEEE International Conference on AI and Data Analytics (ICAD), pp. 1-7. IEEE, 2025 (Honorable Mention Award--top 6% of accepted papers).
Eric Warnemunde Vertina, Emily Sutherland, Sajal Chakroborty, N. Aaron Deskins, and Oren Mangoubi, Machine-Learning-Enabled High-Throughput MXene Property Prediction, 2025 IEEE 15th International Conference Nanomaterials: Applications & Properties (NAP), pp.1-6. IEEE, 2025.
Sajal Chakroborty and M. Babul Hasan, A Parametric Approach to Solve Bounded-Variable LFP by Converting into LP, International Journal of Operations Research, Vol. 13, No. 2, (2016), P. 47-57.
Sajal Chakroborty and M. Babul Hasan, A Proposed Technique for Solving Scenario Based Multi-Period Stochastic Optimization Problems with Computer Application, International Journal of Mathematical Sciences and Computing, Vol. 2, No. 4, (2016), P. 12-23.
H. K. Das and Sajal Chakroborty, Analyzing on the Decomposition Based Pricing Procedure for Solving Two Person Zero Sum Game Problems Through Computer Algebra, International Journal of Computer Applications, Vol. 156, No. 12, (2016), P. 37-47.
Leonardo H Wei, Sudeesh Subramanian,Sajal Chakroborty, Suman Chowdhury, A Comprehensive Methodological Framework for Anthropometric Head Shape Modeling Using Small Dataset. (https://www.biorxiv.org/content/biorxiv/early/2024/06/03/2024.06.02.597069.full.pdf).
Sajal Chakroborty,H-MpoxNet: A Hybrid Deep Learning Framework for Mpox Detection from Image Data.
(https://www.medrxiv.org/content/10.1101/2024.11.26.24318006v1.full.pdf).
Sajal Chakroborty,Fahad Mostafa , Implementation of Holling Type-II Functional Response for COVID-19 Disease Modeling.
(https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=4953603).