I am a Computer Science Fellow 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. I was also a part of Visual Computing Group working with Prof. Hanspeter Pfister on Computer Vision and Deep Learning for Connectomics.

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 Computer Vision Lab, ETH Zurich under the supervision of Prof. Luc Van Gool and at the Video Analytics Lab at CDS, IISc Bangalore

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Email  |  CV  |  Google Scholar  |  Github

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Manuscripts

Optimal Auctions through Deep Learning*
P. Dutting, Z. Feng, H. Narasimhan, DC Parkes, SS. Ravindranath
IEEE International Conference on Machine Learning (ICML), 2019
(Under submission, *Authors ordered alphabetically)
[Paper] [Code]

A Smart Wearable System for Classification of Alertness States
P. Dash, A. Dasgupta, S. Chakroborty, SS. Ravindranath ,
A. Routray, D. Samanta.
IEEE Transactions on Mobile Computing
(Under submission)

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Publications

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

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

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Selected Projects

ProtoNN for large-scale multi-label learning [Code]

Detection and Segmentation of 3D volumes using Mask-RCNN [Code]

Selective Search for Object Detection [Code] [Tutorial]

Automated Essay scoring [Report]

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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