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Martin Jagersand is a professor in the Faculty of Science at the University of Alberta specializing in Robotics and Computer Vision. His research focuses on the development of advanced methods for real-time 2D and 3D video tracking, modeling, and camera-scene-robot kinematic model estimation. He is particularly interested in making robotics methods robust in unstructured, natural environments, such as outdoor settings and human homes. Jagersand's research has applications in various areas, including first-response robotics for hazardous situations, tele-robotic systems for satellite repair, and assistance robotics for the elderly and disabled. His expertise includes extracting precise geometric measurements from images and video to inform robotic actions. He has worked at several prestigious institutions, including Johns Hopkins University and the German Aerospace Institute. Jagersand received his Ph.D. in Computer Science from the University of Rochester and has conducted postdoctoral work at Yale University.
Johns Hopkins University • Baltimore, MD
Researcher in Computer-Integrated Surgical Systems Technology.
German Aerospace Institute (DLR) • Wessling, Germany
Worked in the Robotics Mechatronics Institute.
University of Alberta • Edmonton, AB
Leading research in Robot Vision and Computer Vision.
Department: Mechanical Engineering and Engineering Management
Department: Department of Accounting and Business Analytics
Department: Department of Computing Science. GRE is highly recommended for international applicants.
Department: Department of Mathematical and Statistical Sciences
Department: Department of Civil and Environmental Engineering