About Me

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I am a second year Masters student in the department of ECE at the University of California, Los Angeles (UCLA). I am currently working with the Visual Machines Group at UCLA, advised by Professor Achuta Kadambi. Previously, I completed my Bachelor of Technology in Electronics Engineering with Honors in Industrial IoT from Vishwakarma Institute of Technology, Pune (affiliated to SPPU) in 2020. I spent my undergraduate senior year advised by Professor Mrunal Shidore, working on VAG signal processing (undergraduate thesis).



Updates

  • July 2022: Paper accepted to ECCV 2022.
  • June 2022: Awarded the Best Outgoing Student 2019-20 at VIT, Pune.
  • June 2022: Began Summer internship at ODA.
  • Nov 2021: Computational Imaging Book (MIT Press) released. Was one of the contributors to the textbook.
  • Sept 2021: Joined UCLA for pursuing my M.S. in ECE.
  • July 2021: Paper on VAG signals published in BSPC Journal, Elsevier.
  • Oct 2020: Joined Visual Machines Group, UCLA as a student researcher.
  • Oct 2020: Graduated from VIT, Pune (Affiliated to SPPU).



Research

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I am interested in computer vision, computational imaging, machine learning and fairness in AI. More specifically, I wish to work at the intersection of complex imaging hardware and algorithms for solving several well established problems and exploring new avenues with scope for innovation. Improving fairness in AI - especially health sensing, to conceptualize medical devices and algorithms that are fair and cater to all individuals is a major motivation for my current research. My undergraduate research focussed on health sensing for non-invasive screening of knee-joint pathology.



Publications

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MIME: Minority Inclusion for Majority Group Enhancement of AI Performance

Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi.
ECCV 2022.
Some inclusion of minority samples improves test error for the majority group.

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Screening of knee-joint vibroarthrographic signals using time and spectral domain features

Mrunal M. Shidore, Shreeram Athreya, Shantanu Deshpande, Rajesh Jalnekar.
BSPC Journal, Elsevier.
This work classifies knee-joint vibroarthrographic signals based on time and spectral domain features.

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Awards

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Awarded Best Outgoing Student of the Year 2019-20

I was named the Best Outgoing Student of the Year 2019-20 by VIT, Pune. I accept the award and the honor with utmost gratitude and happiness!