I am a third year PhD student in Computer Science at Harvard university, advised by Prof. David Parkes. My research explores topics at the intersection of AI, Algorithmic Economics and Multi-Agent Systems. 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 from the Indian Institute of Technology, Kharagpur.

---

Email  |  CV  |  Google Scholar  |  Github

---

Working Papers

Data Market Design Through Deep Learning
SS. Ravindranath, Y. Jiang, DC. Parkes
[ArXiv]

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

---

Conference Papers and Preprints

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
Accepted as Long Oral
[Paper] [Code]

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

---

Journal Articles

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

---

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

---

Workshop Papers

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

---

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

---

Code

Deep Learning for Two-Sided Matching Markets [Code]

Lookahead Regularization [Code]

Optimal Auctions through Deep Learning [Code]

Salient Object Detection via Objectness Measure [Code]