Sinjini Banerjee

I am a Ph.D. candidate at the Department of Electrical and Computer Engineeringy at Rutgers University, working under the supervision of Prof. Anand D. Sarwate. I am broadly interested in both theoretical and experimental research in the field of AI interpretability. My current research focus includes, but is not limited to, proving stability guarantees of DNN models using concepts from high-dimensional probability, statistical analysis, and information theory.

Papers

• S. Banerjee, T. Marrinan, R. Cannon, T. Chiang and A. D. Sarwate, "Measuring training variability from stochastic optimization using robust nonparametric testing," in IEEE Journal of Selected Topics in Signal Processing, doi: 10.1109/JSTSP.2025.3583140.
• Slavakis, K., & Banerjee, S. (2019). Robust hierarchical-optimization RLS against sparse outliers. IEEE Signal Processing Letters, 27, 171-175.

Links

CV | Linkedin | Github | Google Scholar

Teaching

Digital Logic Design (Fall 2020, Fall 2021)
Introduction to Data Driven Design For Engineering: Matlab Programming ( Fall 2024, Spring 2025)

Contact

Email: sb1977@rutgers.edu