Shilei Han

University of Maryland, College Park, Shanghai Jiao Tong University, Tianjin University of Technology and Education

Papers

Total Citations

H-Index

About

Shilei Han is a pioneering researcher in the fields of computational kinematics and medical robotics, whose work bridges the gap between abstract motion theory and practical surgical automation. His most influential contributions include the development of novel frameworks for global motion interpolation and the manipulation of motion via dual entities, which have fundamentally advanced how complex spatial trajectories are modeled and controlled. These foundational papers have earned 30 and 29 citations respectively, establishing him as a key figure in motion analysis. More recently, Han has translated these theoretical insights into clinical impact by designing a preoperative path planning algorithm for craniotomy surgical robots, integrating improved MDP-LQR-RRT* methods to enhance precision and safety in neurosurgery. His work not only deepens our understanding of geometric motion but also directly improves patient outcomes through intelligent robotic assistance. With a career that seamlessly combines rigorous mathematical theory with cutting-edge medical applications, Shilei Han continues to inspire researchers and engineers at the intersection of robotics, kinematics, and surgical innovation.