Xinfan Lin

uc davis mechanical aerospace engineering assistant professor xinfan lin

Position Title
Associate Professor

  • Mechanical and Aerospace Engineering
2106 Bainer Hall
Dynamic system modeling, diagnostics, and control; machine learning and data analytics; control-integrated design and optimization; automotive, energy and aerospace applications

Professor Lin’s research lies at the intersection of system dynamics and control, data science and design optimization. His group combines multi-physical domain knowledge, control theories and emerging machine learning and data analytics to model, design, control and diagnose dynamic systems. Current interests and applications include intelligent battery management systems, electric vehicles, unmanned aerial systems (UAS), electric-vertical-takeoff and landing (eVTOL) aircraft and spacecraft, among others. These efforts will contribute to the revolution of transportation and the logistics network of human society.