Shucheng Kang

I am a second-year Ph.D. student at Computational Robotics Lab of Harvard SEAS, advised by Prof. Heng Yang. Before that, I received my Bacholar degree in Department of Electronic Engineering, Tsinghua University at 2023, where I had the fortune to work with Prof. Jianyu Chen. In the summer of 2022, I had a remote internship in CMU’s Intelligent Control Lab, under the guidance of Prof. Changliu Liu.

I aim to provide both theoretical foundations and computational algorithms for large-scale semidefinite relaxations, enabling the next generation of decision-making systems. My current research focuses on bridging nonconvex and convex optimization in fundamental problems such as robotic control and computer vision. Specifically, I (a) establish new theoretical bounds and acceleration techniques for first-order methods in semidefinite programming through field and refined perturbation analyses, and (b) develop scalable SDP solvers that leverage advances in large-scale convex optimization theory, exploit problem-specific sparsity, and harness modern computing hardware such as GPUs.