Baiting Luo
Scholar

Baiting Luo

Google Scholar ID: hWwtO3sAAAAJ
Vanderbilt University
Reinforcement LearningDeep LearningPlanningEmbodied AICyber Physical Systems
Citations & Impact
All-time
Citations
93
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Published papers in conferences such as ICLR, NeurIPS, AAMAS, and ICCPS; Honored with awards including the Vanderbilt Provost’s Pathbreaking Discovery Award and the Vanderbilt C.F. Chen Best Paper Runner-Up Award.
Research Experience
  • Currently pursuing a Ph.D. at Vanderbilt University, focusing on intelligent decision-making systems; Master's research focused on securing connected and autonomous vehicles, receiving the Northwestern Best MS Computer Engineering Thesis Award.
Education
  • Ph.D. candidate in Computer Science at Vanderbilt University, supervised by Prof. Abhishek Dubey and Dr. Ayan Mukhopadhyay; M.S. in Computer Engineering from Northwestern University, advised by Prof. Qi Zhu; B.S. in Computer Engineering with a dual degree in Computer Science from Rensselaer Polytechnic Institute.
Background
  • Research interests include reinforcement learning, deep learning, and planning, with a focus on applications in autonomous cyber-physical systems. Particularly interested in developing innovative approaches for decision-making in high-dimensional, stochastic, and non-stationary environments, as well as enhancing the safety and efficiency of autonomous vehicles.
Miscellany
  • Serves as a reviewer and technical program committee member for several international conferences and journals, including ICLR, WWW, NeurIPS, KDD, and more.