I am a fifth year PhD candidate in Computer Science at Harvard University, where I am 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 at Google Research, collaborating with the Algorithms and Optimization Team in NYC on topics at the intersection of mechanism design and LLMs. Previously, I worked with the Market Algorithms team in Mountain View on Auctions and Reinforcement Learning.

Before coming to Harvard, I was a Research Fellow at Microsoft Reseach, India with the Machine Learning and Optimization group. I received a B.Tech in Electrical Engineering with a minor in Computer Science from the Indian Institute of Technology, Kharagpur

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Email  |  CV  |  Google Scholar  |  Github

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Journal Articles

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]

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Conference Papers and Preprints

Deep Reinforcement Learning for Sequential Combinatorial Auctions
SS. Ravindranath, Z. Feng, D. Wang, M. Zaheer, A. Mehta, DC. Parkes
Under submission
[Paper] [Code]

Deep Learning for Two-Sided Matching
SS. Ravindranath, Z. Feng, S. Li, J. Ma, SD. Kominers, DC. Parkes
Under submission
[Paper] [Code]

Data Market Design through Deep Learning
SS. Ravindranath*, Y. Jiang*, DC Parkes
Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code]

From Predictions to Decisions: Using Lookahead Regularization
N. Rosenfeld, S. Hilgard, SS. Ravindranath, DC. Parkes
Neural Information Processing Systems (NeurIPS), 2020
[Paper] [Code]

Optimal Auctions through Deep Learning
(Alphabetical) P. Dutting, Z. Feng, H. Narasimhan, DC Parkes, SS. Ravindranath
International Conference on Machine Learning (ICML), 2019
[Paper] [Code]

Salient Object Detection via Objectness Measure
SS. Ravindranath, RV. Babu
International Conference on Image Processing (ICIP), 2015
[Paper] [Code]

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Book Chapters

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

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Technical Workshops

Learning Objective functions for Improved Image retrieval
SS. Ravindranath, M. Gygli, LV. Gool
MediaEval 2015 Workshops
[Paper]

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Press Coverage

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