Abhinau Kumar

Abhinau Kumar

Graduate Student and Research Assistant

University of Texas at Austin

About Me

NOTICE: Please support my research by sharing videos from your phone! More details here!

I am a PhD student at the University of Texas at Austin, in the Department of Electrical and Computer Engineering. I work at the Laboratory for Image and Video Engineering (LIVE) with Prof. Alan Bovik as a Graduate Research Assistant. We use statistical, signal processing and machine learning methods to evaluate and optimize the subjective quality of images and videos. This is especially relevant in the context of the online video explosion in recent years. Because of my researcrh in the area, I have had the pleasure of working with leading companies like Meta Platforms and Apple. I have also worked as a research intern at Carnegie Mellon University, in 2018.

I graduated from the Indian Institute of Technology, Hyderabad in India with a Bachelors in Electrical Engineering, where I was awarded an Institute Silver Medal for having the highest score in my department. While at IIT Hyderabad, I was involved in several clubs. During my sophomore year, I was selected as a student mentor at Sunshine, the Counseling Cell of IIT Hyderabad, which I became the student head of the next year. I was also heavily involved with the Literary Society, writing for Lexicon, the magazine of the Literary Society and serving as its editor during my junior year. That same year, I was also the Literary Events coordinator at Elan, the cultural fest of IIT Hyderabad and a coordinator of the Quiz Club.

When I am not trying to figure out why you didn’t like that one cat video as much as the others, I play badminton, counter strike, and chess.

Interests

  • Image/Video Quality Estimation
  • Color Science and Perception
  • Deep Learning
  • Computer Vision
  • Reinforcement Learning

Education

  • Ph.D. in Electrical and Computer Engineering, Expected 2024

    The University of Texas at Austin

  • M.S. in Electrical and Computer Engineering, 2021

    The University of Texas at Austin

  • B.Tech. in Electrical Engineering, 2019

    Indian Institute of Technology, Hyderabad

Experience

 
 
 
 
 

Incoming Software Engineering Intern

Apple, Inc.

May 2023 – Present Cupertino, CA
 
 
 
 
 

ASIC Architecture Intern

Meta Platforms, Inc.

May 2022 – Aug 2022 Sunnyvale, CA
Worked with Meta’s Hardware team to design efficient hardware-friendly video processing and compression algorithms.
 
 
 
 
 

ASIC Architecture Intern

Facebook, Inc.

Jun 2021 – Aug 2021 Austin, TX
Worked with Meta’s Hardware team to design efficient hardware-friendly video processing and compression algorithms.
 
 
 
 
 

Graduate Research Assistant

Laboratory for Image and Video Engineering

Sep 2019 – Present Austin, TX
Working with Prof. Alan Bovik on estimating and optimizing the subjective quality of images and videos.
 
 
 
 
 

Summer Research Intern

Carnegie Mellon University

May 2018 – Jul 2018 Pittsburgh, PA
Worked with Prof. Katia Sycara to develop a safe Reinforcement Learning algorithm inspired by evidence accumulation in the brain.
 
 
 
 
 

Summer Intern

Uurmi Systems, C/o Mathworks Inc.

May 2017 – Jul 2017 Hyderabad, India
Worked on optimizing stereo matching algorithms for GPUs using CUDA.

Accomplish­ments

Institute Silver Medal

Academic Excellence Award

SN Bose Scholarship

Academic Excellence Award