I am a second year PhD student in Computer Science at Harvard university, where I am a part of the EconCS Group. I’m currently working with Prof. David Parkes on Machine Learning for economic systems and multi-agent system design.

Before coming to Harvard, I was a Research Fellow at the Machine Learning and Optimization group, Microsoft Research, India working with Dr. Prateek Jain on large-scale multi-label learning. I completed my undergraduate studies at Indian Institute of Technology, Kharagpur. I did my undergraduate internships at the Computer Vision Lab at ETH Zurich and at the Video Analytics Lab at CDS, IISc Bangalore

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Email  |  CV  |  Google Scholar  |  Github

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Conference Papers and Preprints

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

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*
P. Dutting, Z. Feng, H. Narasimhan, DC Parkes, SS. Ravindranath
International Conference on Machine Learning (ICML), 2019
*Authors ordered alphabetically, Accepted as Long Oral
[Paper] [Code]

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

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Journal Articles

Optimal Auctions through Deep Learning
P. Dutting, Z. Feng, H. Narasimhan, DC. Parkes, SS. Ravindranath
Communications of the ACM, Volume 64 (8), August 2021
[Paper]

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Book Chapters

Machine Learning for Matching Markets
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
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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Workshop Papers

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

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Code

Lookahead Regularization [Code]

Optimal Auctions through Deep Learning [Code]

Salient Object Detection via Objectness Measure [Code]