Summary
Iuliia Kotseruba is an Assistant Professor at the University of Guelph with eight years of research and engineering experience at the intersection of computer vision, human attention modeling, and autonomous driving. Her work focuses on visual saliency and gaze prediction, integrating low-level vision with higher-level cognitive reasoning to improve human–machine interactions and identify performance gaps across vision subfields. She has a strong academic trajectory through York University (PhD/postdoc) and practical industry experience at Huawei developing multimodal attention-based trajectory prediction systems for road users. Earlier roles include high-performance image recognition and GPU optimization for large-scale biomedical and visualization projects, reflecting a hands-on systems background. Fluent in bridging theory and application, she studies driver–pedestrian dynamics to make autonomous systems safer and more human-aware. Her cross-disciplinary foundation—spanning AI, philosophy, and applied research—gives her a unique perspective on modeling attention in complex, safety-critical environments.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Arts - BA, Philosophy, Bachelor of Arts - BA, Philosophy at National University of Kyiv-Mohyla Academy
Bachelor of Science - BS, Artificial Intelligence, Bachelor of Science - BS, Artificial Intelligence at University of Toronto
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at York University