Journals

• R Nandakumar., D Chakrabarti., ‘Manufacturing interpretable features, with an application to Continual Learning’. Paper in review at the Journal of Machine Learning Research.

Conference Presentations

• R Nandakumar., D. Chakrabarti., ‘GraphWeave : Interpretable and Robust Graph Generation via Random Walk Trajectories,’. in the European Conference on Machine Learning (ECML PKDD), 2025. pdf code

• R Nandakumar., PK Baranwal., ‘A Review on Electrochemical Applications of Deep Eutectic Solvents in the Electrodeposition of Metals’. presented on 14 April, 2022 at the International Conference on Advances in Chemical and Materials Sciences, ‘ACMS – 2022’.

Thesis

• Rahul Nandakumar., ‘Feature Engineering for Supervised Learning’. May 2024. Link
• Rahul Nandakumar., ‘Deep Learning integrated with modelling a medical waste gasification-power production plant’. 22 April, 2022. Link

Invited Talks

• Featured as a panel speaker at ‘Career Insight Series - NIT Andhra Pradesh’ to inspire career growth opportunities for undergraduate students, September 2023 Link.