معرفی
Stephen Mann is a Professor at the University of Waterloo's Department of Computer Science. His research focuses on geometric algebra, CNC machining, and spline surfaces, with applications in computer graphics and manufacturing automation. He has taught courses including CS 251 (Computer Organization), CS 488 (Computer Graphics), and specialized topics like splines in graphics. His work bridges theoretical geometric modeling with practical manufacturing challenges.
Educational background includes a Doctorate from Washington University and degrees from UC Berkeley. His publications emphasize tool path optimization, neural networks in machining feature recognition, and geometric algebra frameworks. Notable contributions include books on geometric algebra and spline theory.
Current research trends involve integrating machine learning with CNC processes and developing efficient algorithms for multi-axis machining. He is actively recruiting graduate students interested in computational geometry and manufacturing systems.
