I am a 2nd year PhD student in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, where I work with Prof. Soheil Feizi. My primary research interest is in understanding various aspects of deep learning. I love working on generalized algorithms that can solve a wide variety of problems.
PhD in Electrical and Computer Engineering, University of Maryland, College Park
I am now working on distributional robustness of deep learning models.
At Tessact, our mission was to bring the latest advancements in Deep Learning to the media industry. Specifically, we developed software for scalable and accurate frame-by-frame video annotation. This is the first and, arguably, the hardest step in automating the process of serving contextual advertisements and meeting compliance standards.
Unpaired Image DenoisingIEEE International Conference on Image Processing (ICIP), UAE (Virtual), October 2020
FOCUS: Familiar Objects in Common and Uncommon SettingsarXiv e-print
Siemens Prize September 2020Awarded to the M. Tech student with the best academic record in Electrical Engineering at IIT Madras.
Prof. M K Achuthan Prize April 2020Awarded to the M. Tech student with the best academic record in the first year in Electrical Engineering at IIT Madras.
All India Rank 80 in IIT-JEEJune 2012Secured 80th rank (~ 470 000 total candidates, 99.98th percentile) in the Joint Entrance Examination conducted by the IITs in 2012.
I have been a teaching assistant for the following courses:
University of Maryland, College Park
- ENEE324: Engineering Probability Fall 2021
- ENEE440: Microprocessors Spring 2021
- EE5175: Image Signal Processing Spring 2020
- EE6133: Multirate Digital Signal Processing Fall 2019
- EE3110: Probability Foundations for Electrical Engineers Spring 2019
Outside of Work...
Although it's hard for me to find the time these days, I enjoy watching sci-fi/fantasy movies, TV shows.