Thomy Phan
Scholar

Thomy Phan

Google Scholar ID: yny05hUAAAAJ
UC Irvine
Artificial IntelligenceMulti-Agent SystemsReinforcement LearningOptimization
Citations & Impact
All-time
Citations
850
 
H-index
15
 
i10-index
25
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Research Experience
  • Currently a Junior Professor heading the Chair of Artificial Intelligence and Machine Learning at the University of Bayreuth; Previously a Postdoctoral Scholar at UC Irvine and the University of Southern California.
Education
  • PhD in Computer Science from LMU Munich, advised by Professor Claudia Linnhoff-Popien; Postdoctoral Scholar at UC Irvine and the University of Southern California, advised by Professor Sven Koenig.
Background
  • Areas of interest: Artificial Intelligence and Multi-Agent Systems; Research focus: Multi-agent algorithms for scalable optimization using learning and search techniques. Applications: Large-scale distributed and intelligent systems, including warehouse automation, smart manufacturing, and traffic management.
Miscellany
  • Looking for a curious and motivated doctoral student. Check out his opening.