Archit RamanaSai Kambhamettu

I am a first-year Computer Science Ph.D. student at the University of Maryland (UMD), advised by Professor Abhinav Shrivastava and Professor Leo Liu.

My research interests are at the intersection of Human-Computer Interaction and Computer Vision, primarily with developing novel approaches for domain specific reasoning to assist field experts. I am particularly interested in applying this line of research to sports analytics and biomechanics.

I completed my B.S. in Computer Science (Machine Learning) with a double major in Mathematics (Statistics). I am also a founding member of UMD's Sports Management Program. Feel free to reach out to me for any collaborations! My email is architk@umd.edu.

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Selected Publications

Exploring and Mitigating Overconfidence in Models That are Smaller Karan Jain, Alexander Chandy, Archit Kambhamettu
CHI 2026 Workshop: Bias4Trust (Accepted)
Practical Memorization Tests for Detecting Copyrighted Data in Large Language Models Michael-Andrei Panaitescu-Liess, Aadi Palnitkar, Archit Kambhamettu, Yigitcan Kaya, Daniel Brown, Sungbin Oh, Sean Michael McLeish, Marco Bornstein, Furong Huang, Tom Goldstein
preprint
VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar, Samuel Audia, Ross Miller, Jae Kun Shim, Aniket Bera
2025 AAAI Conference on Artificial Intelligence (Accepted)
Quantifying NBA Shot Quality: A Deep Network Approach Archit Kambhamettu, Matthew Gwilliam, Abhinav Shrivastava
2024 ACM MMSports Workshop (Accepted)
Walking with Sad and Happy Emotions Influences Risk Factors of Knee Osteoarthritis Samantha Snyder, SeungJun Oh, Elizabeth Bell, Hossein Ehsani, Archit Kambhamettu, Ross Miller, Aniket Bera, Jae Kun Shim
2024 Journal of Biomechanics (Accepted)
Poster: Classifying Walking and Running Using Custom Instrumented Insoles and Machine Learning Archit Kambhamettu, Samantha Snyder, Edward Chu, Yun Jung Heo, Jae Kun Shim
2023 IEEE-EMBS International Conference on Body Sensor Networks (Accepted)
Walking with Different Emotions Significantly Influences Knee Adduction Moment Samantha Snyder, Seung Jun Oh, Elizabeth Bell, Hossein Ehsani, Archit Kambhamettu, Ross Miller, Aniket Bera, Jae Kun Shim
2023 Medicine and Science in Sports and Exercise Journal (Accepted)
SAI: Sports Analytics and Informatics Archit Kambhamettu, Chandra Kambhamettu
2020 Future Technologies Conference (Accepted)

Research & Industry Experience

Undergraduate Researcher UMD Neuromechanics Research Core, Perception and Intelligence Lab | Sep 2022 - May 2025
Software Engineer University of Maryland Athletics Department | Jan 2024 - Jan 2025
Machine Learning Researcher A.I. Whoo LLC | Oct 2021 - Dec 2023

Honors & Awards

Dean’s Fellowship University of Maryland (Ph.D.)
Computer Science Departmental High Honors University of Maryland (Undergrad)
Cum Laude University of Maryland (Undergrad)
Dean's List University of Maryland (Undergrad)

Teaching Experience

Graduate Teaching Assistant CMSC421: Intro to AI | Jan 2026 - Present
Graduate Teaching Assistant CMSC436: Programming Handheld Devices | Aug 2025 - Dec 2025
I4C Computer Science Tutor CMSC131, CMSC132, CMSC250, CMSC330, CMSC351 | Jan 2024 - May 2025
I4C Guided Study Session Leader CMSC330: Organization of Programming Languages | Jan 2024 - May 2025
Undergraduate Teaching Assistant CMSC250: Discrete Structures | Jan 2023 - Aug 2024
Undergraduate Teaching Assistant CMSC320: Intro to Data Science | Jan 2023 - Aug 2024
Undergraduate Teaching Assistant CMSC421: Intro to Artificial Intelligence | Jan 2023 - Aug 2024

Projects

HomeGrown Player Evaluation
Developed a methodology to determine whether teams that retain their players for more years yield a higher win rate.
Free Throw Form Analysis
Recorded and leveraged pose estimation to analyze free throws from multiple viewpoints to determine whether free throw form affected whether the shot was missed or made.