معرفی
Lueder Kahrs is an Assistant Professor in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM), with a dual affiliation at the Institute of Biomedical Engineering at the University of Toronto (St. George). His research focuses on medical computer vision, robotics, and artificial intelligence applied to surgical interventions and medical diagnostics.
He leads the Medical Computer Vision and Robotics Lab, collaborating with institutions like SickKids Hospital and the Advanced Micro and Nanosystems Laboratory. His work spans surgical robotics (e.g., da Vinci Research Kit integration), endoscopic vision systems, and AI-driven medical image analysis. Notable recent achievements include a 2022 IROS paper on sim-to-real robot transfer and a T-CAIREM scholarship awarded to student Charles Yuan for ultrasound guidance research.
His team includes over 20 researchers across PhD, MSc, and volunteer roles. Key projects involve 3D endoscopic vision, OCT data processing, and vision-based robotic control. The lab’s interdisciplinary approach bridges computer science, engineering, and clinical medicine.
Recent milestones include lab openings, surgical tracking competition wins, and publications in conferences like MICCAI and IEEE/RSJ IROS. Kahrs’ research emphasizes real-world clinical impact, with applications in minimally invasive surgery and robotic-assisted procedures.
