I am a fourth year PhD student in Computer Science at Harvard University, advised by Prof. David Parkes. My research explores topics at the intersection of Deep Learning, Algorithmic Economics and Multi-Agent Systems. I'm also a student researcher working with the Market Algorithms Team at Google Research.
Before coming to Harvard, I was a Research Fellow at the Machine Learning and Optimization group, Microsoft Research, India. Previously, I received my B.Tech in Electrical Engineering with a minor in Computer Science from the Indian Institute of Technology, Kharagpur.
Optimal Auctions through Deep Learning: Advances in Differentiable Economics
(Alphabetical) P. Dutting, Z. Feng, H. Narasimhan, DC. Parkes, SS. Ravindranath
— Journal of the ACM (JACM), September 2023 [DOI]
— Communications of the ACM (CACM), Volume 64 (8), August 2021 [DOI]
From Predictions to Decisions: Using Lookahead Regularization
N. Rosenfeld, S. Hilgard, SS. Ravindranath, DC. Parkes
Neural Information Processing Systems (NeurIPS), 2020
Machine Learning for Matching Markets
(Alphabetical) Z. Feng, DC. Parkes, SS. Ravindranath
In F. Echenique N. Immorlica and V. Vazirani, editors
Online matching theory and market design. Cambridge University Press, 2022.
Machine Learning for Optimal Economic Design
(Alphabetical) P. Dutting, Z. Feng, N. Golowich, H. Narasimhan, DC. Parkes, SS. Ravindranath
In JF Laslier, H. Moulin, MR. Sanver, WS. Zwicker, editors,
The Future of Economic Design. Springer, 2019
Learning Objective functions for Improved Image retrieval
SS. Ravindranath, M. Gygli, LV. Gool
MediaEval 2015 Workshops
IIT Kharagpur innovation to monitor fatigue level in pilots.
Hindustan Times, 2016
Stressed? Now, wear a pair of glasses and find out how much.
Times of India, 2016