Sinisa Todorovic

Sinisa Todorovic is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University (OSU). He holds a Ph.D. (2005) and M.S. (2002) from the University of Florida, and a B.S./M.S. from the University of Belgrade (1994). Before joining OSU, he was a postdoc at the Beckman Institute, University of Illinois, and a software engineer at Siemens (1998–2001).

His research focuses on computer vision, machine learning, and AI, particularly semantic/instance segmentation, action segmentation in videos, few-shot learning, weakly-supervised learning, and cross-domain adaptation. He leads projects like fruit orchard segmentation datasets and transformer-based cross-domain semantic segmentation.

Key contributions include the Volleyball dataset for group activity analysis, Hough Forest Random Fields for object segmentation, and boundary flow estimation. His work bridges theory and applications, including robotics, medical imaging, and sports video analysis.

Todorovic advises over 20 graduate students and collaborates on grants involving AI ethics, explainable systems, and agricultural automation. He is affiliated with OSU's Data Science and Engineering and AI/Robotics research groups.