People

summer2017

Mykel Kochenderfer
Faculty
Decision making under uncertainty
Katherine Driggs-Campbell
Postdoctoral Scholar
Human-centered modeling, decision-making, and control (SAIC)
Ekhlas Sonu
Postdoctoral Scholar
Multiagent sequential decision making (Toyota)
Zach Sunberg
Ph.D. Candidate
Driver safety systems (Toyota)
Louis Dressel
Ph.D. Candidate
GPS jammer hunter using drones (NSF)
Tim Wheeler
Ph.D. Candidate
Autonomous driving (Bosch)
Rachael Tompa
Ph.D. Candidate
Dynamic air traffic rerouting during commercial space launches (FAA)
Jeremy Morton
Ph.D. Candidate
Recurrent neural networks for driving models (Ford/NSF)
Kyle Julian
Ph.D. Candidate
Aircraft collision avoidance (FAA/NASA/Intel)
Maxime Bouton
Ph.D. Candidate
Monte Carlo tree search and driving (Honda)
Ritchie Lee
Ph.D. Candidate (CMU)
Adaptive stress testing (NASA)
Atli Kosson
Ph.D. Candidate
Hierarchical reinforcement learning
Andrea Zanette
Ph.D. Candidate
Bayesian level set estimation
Edward Balaban
Ph.D. Candidate
Vehicle health prognostics (NASA)
Jayesh Gupta
Graduate Student
Policy gradient methods (Army)
Alex Kuefler
Graduate Student
Deep driving models (Ford)
Blake Wulfe
Graduate Student
Deep learning for risk models (Allstate)
Patrick Slade
Graduate Student
Bayesian reinforcement learning (NSF/Toyota)
Apoorva Sharma
Graduate Student
Deep learning for air traffic rerouting (FAA)
Chelsea Sidrane
Graduate Student
Disaster response optimization
Hamza El-Saawy
Graduate Student
Probabilistic models and inference (Allstate)
John Mern
Graduate Student
Hierarchical reinforcement learning (Army)
Kunal Menda
Graduate Student
Event-driven reinforcement learning (NASA / SAIC)
Kyle Brown
Graduate Student
Automated racing (NSF)
Mark Koren
Graduate Student
Adaptive stress testing of automated vehicles
Masha Itkina
Graduate Student
Probabilistic perception models for automated driving (Ford)
Xiaobai Ma
Graduate Student
Automated driving simulation and control (SAIC)
Saud Alsaif
Graduate Student
Ethics of automated driving