Amit K Roy-Chowdhury

Also known as Amit Roy-Chowdhury

Amit K Roy-Chowdhury is a computer vision researcher whose work spans camera networks, machine learning, and video analysis. He completed a doctorate at the University of Maryland in 2002, joined UC Riverside in 2004, and co-authored a 2012 camera-networks monograph. His work includes collaborative sensing, an IAPR Fellowship, and AI systems for detecting tampered videos, managing adaptive networks, and tracing synthetic video to its generator. As of October 2026, he is a professor and RAISE co-director at UC Riverside and leads the Vision and Learning Group.

Now at: University of California, Riverside
Works: 450
Citations: 13,064
h-index: 54
Badges: Loyal

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

2002–2003

Doctoral study and research

He earns a bachelor's in electrical engineering at Jadavpur University and a master's in Systems Science and Automation at the Indian Institute of Science. He completes a PhD in electrical and computer engineering at the University of Maryland in 2002 and works there as a research associate in 2003.
2004–2012

Joining UCR and camera networks

He joins UC Riverside as an assistant professor in January 2004. In 2012, he and Bi Song publish Camera Networks: The Acquisition and Analysis of Videos Over Wide Areas, a first monograph on camera networks.
2016

An IAPR Fellowship

IAPR elects him a Fellow for contributions to collaborative sensing and distributed processing in camera networks, with applications in tracking, re-identification, and activity recognition.
2018–2021

Chairing electrical engineering

He chairs UC Riverside's Electrical and Computer Engineering department from 2018 to 2021.
2019

A UCR mentoring award

UCR gives him the Doctoral Dissertation Mentoring/Advising Award in 2019.
2020

A distinguished alumni award

The University of Maryland names him a 2020 ECE Distinguished Alumni Award honoree for engineering contributions and work across disciplines.
2025

AI tools for video and networks

In July 2025, he works with UCR doctoral candidate Rohit Kundu and Google scientists on UNITE, an AI model that detects video tampering. In November 2025, he leads an $8 million Department of Defense project to develop AASHI, an AI-driven network framework for machines to communicate and cooperate across land, air, sea, and cyberspace.
As of October 2026

Professor and RAISE co-director

He is a professor and UC Presidential Chair in electrical and computer engineering at UC Riverside, co-director of the RAISE Institute, and leads the Vision and Learning Group, whose work includes computer vision, image processing, and machine learning. In July 2026, he guides work with YouTube and Google DeepMind on SAGA, a framework that identifies the AI systems behind generated videos.