Computer Science and Engineering

As AI-generated fake videos become more problematic, UC Riverside computer scientists developed a tool that moves beyond simply identifying whether a video is fake. It also determines which AI system created it.

Two UC Riverside students have received prestigious awards from the American Society for Mass Spectrometry, or ASMS, one of the world’s leading organizations dedicated to advancing mass spectrometry research.

A paper co-authored by Prof. Karamouzas received a Best Paper Award at the 2026 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D 2026), held at Lucasfilm in San Francisco. The paper, "Gen-C: Populating Virtual Worlds with Generative Crowds," is authored by Andreas Panayiotou, Panayiotis Charalambous, and Ioannis Karamouzas. i3dsymposium Link: https://i3dsymposium.org/2026/ awards.html

UC Riverside is drawing press attention for its findings on the safety and reliability of AI agents. The ICLR paper, "Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness," was led by UCR Ph.D. student Erfan Shayegani, working with CSE faculty members Yue Dong and Nael Abu-Ghazaleh. The work introduces BLIND-ACT, a benchmark of 90 tasks, and evaluates nine frontier models acting as computer-use agents, systems that can click, type, and navigate a desktop to complete tasks on a user's behalf. The team found that these agents consistently exhibit what they term "blind goal