Three pioneering studies by UC Riverside researchers will be presented orally in September at the 19th European Conference on Computer Vision (ECCV 2026) in Malmö, Sweden, one of the world's premier conferences on computer vision and artificial intelligence. Together, the studies advance machine perception—the science of helping computers interpret visual information—by enabling them to see more clearly, understand more of their surroundings, and make better decisions. Led by faculty members and students in UCR's Marlan and Rosemary Bourns College of Engineering, the work highlights the

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.

Ozkan, a professor of electrical and computer engineering in UC Riverside’s Marlan and Rosemary Bourns College of Engineering, co-authored the paper with Paul R. Sanberg, president of the National Academy of Inventors. The work grew out of Ozkan’s role as a 2025 NAI Invention Ambassador, a leadership position focused on collaboration, translational research, and inventor engagement across academic institutions.