معرفی
Sue Whitesides is a Professor and Chair of the Department of Computer Science at the University of Victoria, British Columbia. Previously, she held roles at McGill University's School of Computer Science, including directing its discrete mathematics and computational geometry research groups. Her research focuses on algorithms, discrete mathematics, computational geometry, motion planning, and graph layout, with applications in brain imaging and nanofabrication. She co-authored a textbook on discrete mathematics for computer science and organizes annual workshops at the Bellairs Research Institute, collaborating with institutions like INRIA-Lorraine. Her work bridges theoretical computer science with interdisciplinary applications in robotics, materials science, and biomedical imaging.
Education: No formal education details provided.
Research Interests: Algorithms, computational geometry, motion planning, graph drawing, discrete mathematics. She explores geometric coverage problems, self-assembly mechanisms, and algorithmic solutions for robotics and nanofabrication. Her recent work includes 3D surface assembly and minimum-distance robot localization.
Publications: Over 15 key papers in computational geometry and algorithms, including studies on geometric separation in polygonal environments and randomized localization algorithms. Her work appears in venues like the ACM Symposium on Computational Geometry and the Journal of the American Chemical Society.
Collaborations: Leads workshops at Bellairs with international partners like INRIA, focusing on collaborative problem-solving in geometry and computer graphics. Co-organizes events with researchers like Sylvain Lazard and Hazel Everett.
Labs/Teams: Computational geometry lab at McGill collaborating with INRIA-Lorraine. Active in McGill's discrete mathematics and algorithms seminars.
