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

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.

Publications
obj A comparison of open source libraries ready for 3D reconstruction of wounds
Syamantak Kumar*, Dhruv Jaglan*, Nagarajan Ganapathy, Thomas Deserno
SPIE Medical Imaging Conference, 2019
Paper link

We propose an android application for real-time three dimensional scanning of surface wounds to aid effective diagnosis of wounds remotely and present a comparative study of open-source libraries available for performing this task.

* : Equal Contribution
Selected Projects

For a complete list of projects, please refer to my CV.

19 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.

obj 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.

cfd Adversarial Examples for Keyword Spotting
code  /  report

Used Generative Adversarial Networks (GANs) to generate adversarial examples for keyword spotting systems, improving their robustness.

cfd 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

cfd Chinese Checkers AI
code

Implemented an AI for playing Chinese Checkers using the Minimax algorithm with alpha-beta pruning. (Implemented in Racket)

Teaching
iitb Undergraduate Teaching Assistant, PH107, Quantum Physics and its Applications, Fall 2017

Stolen this awesome template from Jon Barron. Thanks a lot for sharing!