Simon Zhan
Scholar

Simon Zhan

Google Scholar ID: uO4dG0wAAAAJ
Northwestern University
Learning for ControlFormal MethodsOptimizationCyber-Physical Systems
Citations & Impact
All-time
Citations
222
 
H-index
9
 
i10-index
6
 
Publications
17
 
Co-authors
9
list available
Publications
17 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published papers in venues such as ICML, NeurIPS, ICCPS, L4DC, FM, RV, and IROS.
Research Experience
  • Research intern at Amazon SFAI.
Education
  • PhD student in the ECE department at Northwestern University, advised by Qi Zhu; Undergraduate in Applied Math and Computer Science at UC Berkeley, advised by Sanjit A. Seshia.
Background
  • Research interests: Bridging reinforcement learning and formal methods to make embodied cyber-physical systems safe, robust, and verifiable. Combining formal verification with learning-based control to obtain machine-checkable guarantees without sacrificing adaptability or performance.