Publications and Presentations
Publications
- Rahul Nandakumar., Deepayan Chakrabarti., ‘Manufacturing interpretable features, with an application to Continual Learning’. Paper in review at the Journal of Machine Learning Research.
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
Conference Presentations
- Rahul 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’.
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.
