Syamantak Kumar
I am a final year undergraduate student studying computer science at IIT Bombay. My research interests lie in the fields of Statitiscal Modelling and Machine Learning.
I am currently working with Prof. Suyash Awate for my Bachelor's Thesis. Earlier this summer, I was fortunate enough to get the opportunity to visit Google, India as a software engineering intern on the Google Maps team. I have also worked with Prof. Thomas Deserno on Medical Informatics and Imaging, back in 2018.
Email  / 
CV  / 
Github  / 
Google Scholar  / 
LinkedIn
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Updates
- [Jun 2019] Working at Google, Bangalore as a software engineering intern.
- [Feb 2019] Our paper "A comparison of open source libraries ready for 3D reconstruction of wounds" got accepted in SPIE Medical Imaging 2019.
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* : Equal Contribution
For a complete list of projects, please refer to my CV.
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Generative Model for User Contributions
I worked at Google, Bangalore with the Maps team on a model for predicting the correctness of an edit made by a user on Maps. This model is used to ensure that data displayed on Google Maps is true to the accuracy it claims.
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A comparison of open source libraries ready for 3D reconstruction of wounds
paper
My research project during Summer'18. We developed an android application to assist medical diagnosis and treatment remotely by observing 3D scanned models of surface wounds.
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Adversarial Examples for Keyword Spotting
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report
Used Generative Adversarial Networks (GANs) to generate adversarial examples for keyword spotting systems, improving their robustness.
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Tournament Ranking given pairwise preferences
code  / 
report
Designed an algorithm for fully-sequential sampling in a Probably-Approximately-Correct (PAC) setting to determine top-K players in a tournament, given pariwise preferences
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Chinese Checkers AI
code
Implemented an AI for playing Chinese Checkers using the Minimax algorithm with alpha-beta pruning. (Implemented in Racket)
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Undergraduate Teaching Assistant, PH107, Quantum Physics and its Applications, Fall 2017
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Stolen this awesome template from Jon Barron. Thanks a lot for sharing!
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