SHORT BIO

Stefanos Nikolaidis is an Associate Professor of Computer Science and the Fluor Early Career Chair in Engineering at the University of Southern California, where he leads the Interactive and Collaborative Autonomous Robotics Systems (ICAROS) lab. His research lies in the intersection of human-robot interaction, algorithmic scenario generation, quality diversity optimization, and machine learning, and leads to end-to-end solutions that enable deployed robotic systems and autonomous agents to act robustly when interacting with people in practical, real-world applications. Stefanos completed his PhD at Carnegie Mellon's Robotics Institute and received an MS from MIT, a MEng from the University of Tokyo and a BS from the National Technical University of Athens. Stefanos was the sole recipient of the 2022 Agilent Early Career Professor Award for his work on human-robot collaboration, as well as the recipient of an NSF CAREER award for his work on “Enhancing the Robustness of Human-Robot Interactions via Automatic Scenario Generation.”

RESEARCH AREAS

Machine Learning and Computer Vision