Ph.D. Candidate
Hello! I'm Yinchu Liu, a third-year Ph.D. candidate supervised by Prof. Sheldon Andrews and Prof. Kenny Erleben. My expertise spans rigid body simulation with frictional contacts, graph partitioning, collision detection, numerical solvers, reinforcement learning, and supervised learning.
I'm passionate about developing advanced algorithms for computer graphics and physics-based simulations. My research focuses on using machine learning techniques to enhance numerical solvers, as well as to improve both discrete (DCD) and continuous collision detection (CCD), aiming to increase the efficiency and accuracy of complex simulations.
I am currently open for internship and full-time opportunities!
Get In Touch
Supervisor: Sheldon Andrews and Kenny Erleben
Montréal, Canada
Supervisor: Sheldon Andrews
Montréal, Canada
Changchun, China
An OpenGL-based application for 3D model UV mapping and texture application. Features include model loading with UV coordinates, texture mapping, and Phong lighting implementation.
Research project focusing on graph partitioning algorithms to accelerate rigid body simulations. Developed novel techniques to improve convergence rates in contact-rich multibody systems by optimizing constraint distribution across parallel solvers.
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