SARAVANAN GOVINDARAJAN

Hi there! I'm a master's student in the Electrical Engineering department at Columbia University, New York. I am specializing in the field of Machine Learning and will be graduating around Dec 2021!

I'm currently working as a Research Assistant at the WiMNet Lab, Columbia University with Dr. Igor Kadota working on developing Machine Learning classifiers for Radars.

Prior to this, I worked as a Research Associate at Siemens Healthineers, Bangalore in their Precision Medicine team. During my tenure (July - November 2020), I was primarily working on Applied Deep Learning for ICU based timeseries data and understanding the explainablility of models.

I hold a Bachelor's degree in Electronics and Communication Engineering from VIT University, where I was advised by Prof. Kalyani Desikan.

Also, I have had the pleasure of interning/ collaborating with:

@ Siemens Healthineers, Bangalore, Summer 2019 and Jan - June 2020
@ Purdue University, Summer 2018 with Dr. Monica Herrero-Huerta

I will be working at Facebook Reality Labs Research (Oculus Research), Redmond during this summer as a Machine Learning intern!

Email: saravanan.g [at] columbia.edu / Github / LinkedIn

Updates

Jan 2021: Moved to New York to pursue my Master's degree @ Columbia University!
Nov 2020: Completed my tenure as a research associate @Siemens Healthineers
July 2020: Got converted from intern to research associate role @Siemens Healthineers!
Jan 2020: Started working as an intern @Siemens Healthineers
Nov 2019: Won the best project award @VIT for the Video Steganography project.
Sept 2019: Won best AWS ML/AI hack award sponsored by AWS @PENNAPPS, University of Pennsylvania.
May 2019: Started working as an intern @Siemens Healthineers.
Feb 2019: Won third place in the IMLEAP competition @Siemens Healthineers.
Sept 2018: Received Google India Scholarship 2018.
May 2018: Started working with Dr. Monica, Purdue University on the 3D Multispectral Computer Vision Research.
Nov 2017: Started working as a Teaching assistant for the Network Theory course @VIT.
Sept 2016: First prize in the Autonomous line follower event conducted by Robotics Club @VIT.
June 2016: Started UG studies @VIT
May 2016: Received VITEEE merit scholarship from VIT for all four years of my undergraduate studies.

Competitions

	Best ML/AI AWS Hack sponsored by AWS HawkCC Team PennAPPSXX @ University Of Pennsylvania, 2019 Idea: Someone dies every 3 seconds in a mass shooting. CCTV footage is only reviewed after the crime, and people can only call 911 after they've had time to run or hide. Our system is a solution. [Project Link] [Code]
	Third Place @Innovation Management & Leadership Program Saravanan Govindarajan, Vikrame Vasudev, Kaushik A Siemens Healthineers, Bangalore , 2019 Project: Dynamic Hand Gesture Recognition System using 3DCNN + LSTM networks [Demo Video]

Research

	TripleS: A new tool for Soybean high throughput phenotyping from UAS based Multispectral imagery Monica Herrero-Huerta, Saravanan Govindarajan, Keith A. Cherkauer, Katy M. Rainey SPIE Defense + Commercial Sensing Conference, 2019 [Link] [Paper]
	Handwritten Tamil vowel character recognition using convolutional neural network Saravanan Govindarajan, Vikrame Vasudev Paper Presentation @IEEE International Conference On New Trends In Engineering and Technology (ICNTET) , 2018

Teaching

I have been a teaching assistant for the following course:

Network Theory - Winter 2017