UCR engineering professor Mihri Ozkan has been named a National Invention Ambassador, joining a national network of accomplished inventors who mentor emerging innovators.

A method for recovering information about light that conventional cameras cannot record placed UC Riverside researchers among the 10 Best Paper Award nominees at the European Conference on Computer Vision (ECCV), one of the field’s premier venues. The paper was part of a broader showing by researchers from UCR’s Marlan and Rosemary Bourns College of Engineering at ECCV 2026, held Sept. 8-12 in Malmö, Sweden. Three studies involving BCOE faculty and students explored different limits on what machines can perceive, including information hidden from conventional image sensors and objects outside

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.

The UCR team addressed that challenge by integrating a wheeled mobile robot, an electromagnetic induction sensor, onboard localization and a planning algorithm designed for orchard-scale operation. The system allows the robot to navigate orchard rows, prioritize important sampling locations and collect dense soil data within a fixed operating window.