Regular biography
Heng Yang is an Assistant Professor of Electrical Engineering at Harvard University, affiliated with the John A. Paulson School of Engineering and Applied Sciences. Their primary teaching area is Electrical Engineering, and they are associated with the department's research in robotics and control, signal processing, and machine learning. Dr. Yang's work includes computational robotics and artificial intelligence, with a focus on advancing algorithmic capabilities in computer vision and machine learning. Their research is accessible through their website and contact details.
Scholar-generated biography
Heng Yang is an Assistant Professor at Harvard University, specializing in Robotics, Polynomial Optimization, Semidefinite Programming, Control, and Machine Learning. His research focuses on developing robust and certifiable methods for geometric perception, outlier rejection, and optimal control. Yang's work includes certifiably optimal solutions for problems such as point cloud registration, Wahba's problem, and 3D shape reconstruction. He also explores semidefinite relaxations for polynomial optimization and their applications in robotics and machine learning. His contributions emphasize scalable global optimization, robust estimation, and the integration of geometric and statistical methods for reliable perception and control systems.