R. Nandakumar, D. Chakrabarti. Features Built from Classifiers: Bridging the Gap Between Strong and Weak Learners.
Paper in review at Data Mining and Knowledge Discovery.
Publications & Presentations
Journals
Conference Presentations
R. Nandakumar, D. Chakrabarti. COPYCOP: Ownership Verification for Graph Neural Networks.
In Review
R. Nandakumar, B. Fauber, D. Chakrabarti. SPADE: Fast Drug Discovery by Learning from Sparse Data.
In Review
R. Nandakumar, D. Chakrabarti. GraphWeave: Interpretable and Robust Graph Generation via Random Walk Trajectories.
European Conference on Machine Learning (ECML PKDD), 2025.
Thesis
Rahul Nandakumar. Feature Engineering for Supervised Learning.
May 2024.
Rahul Nandakumar. Deep Learning integrated with modelling a medical waste gasification-power production plant.
April 22, 2022.
Invited Talks
Judge — Technology & Science Undergraduate Research Forum
The University of Texas at Austin, College of Natural Sciences. April 17, 2026.
Career Insight Series — NIT Andhra Pradesh
Featured as a panel speaker to inspire career growth opportunities for undergraduate students, September 2023.