Doctoral Graduates
Eric Mueller
Ph.D.
Thesis: Multi-rotor aircraft collision avoidance using partially observable Markov decision processes (2016)
Zouhair Mahboubi
Ph.D.
Thesis: Automated air traffic control for non-towered airports (2016)
Youngjun Kim
Ph.D.
Thesis: Optimal planning with rare catastrophic events (2016)
Tim Wheeler
Ph.D.
Thesis: Automotive safety validation in simulation (2018)
Zach Sunberg
Ph.D.
Thesis: Safety and efficiency in autonomous vehicles through planning with uncertainty (2018)
Louis Dressel
Ph.D.
Thesis: Efficient and low-cost localization of radio sources with an autonomous drone (2018)
Ritchie Lee
Ph.D. (CMU)
Thesis: AdaStress: Adaptive stress testing and interpretable categorization for safety-critical systems (2019)
Rachael Tompa
Ph.D.
Thesis: Optimal aircraft rerouting during space launches (2019)
Jeremy Morton
Ph.D.
Thesis: Deep data-driven modeling and control of high-dimensional nonlinear systems (2019)
Maxime Bouton
Ph.D.
Thesis: Safe and scalable planning under uncertainty for autonomous driving (2020)
Edward Balaban
Ph.D.
Thesis: Health-Aware Decision Making under Uncertainty for Complex Systems (2020)
Kyle Julian
Ph.D.
Thesis: Safe and Efficient Aircraft Guidance and Control using Neural Networks (2020)
Jayesh Gupta
Ph.D.
Thesis: Modularity and Coordination for Planning and Reinforcement Learning (2020)
Anthony Corso
Ph.D.
Thesis: Algorithms for Black-Box Safety Validation (2021)
Raunak Bhattacharyya
Ph.D.
Thesis: Modeling Human Driving from Demonstrations (2021)
Duncan Eddy
Ph.D.
Thesis: Task Planning for Earth Observing Satellite Systems (2021)
Mark Koren
Ph.D.
Thesis: Approximate Methods for Validating Autonomous Systems in Simulation (2021)
Andrea Zanette
Ph.D.
Thesis: Reinforcement Learning: When Can We do Sample Efficient Exploration? (2021)
Kunal Menda
Ph.D.
Thesis: Data-Driven Modeling of Dynamical Systems (2021)
Shushman Choudhury
Ph.D.
Thesis: Hierarchical Decision Making in Coordinated Multi-Robot Networks (2021)
Kyle Brown
Ph.D.
Thesis: Algorithms for Multi-Agent Robotic Assembly Planning (2021)
Patrick Slade
Ph.D.
Wearable Systems for Monitoring Physical Activity and Optimizing an Exoskeleton (2021)
Xiaobai Ma
Ph.D.
Thesis: Deep Reinforcement Learning Methods for Autonomous Driving Safety and Interactivity (2021)
John Mern
Ph.D.
Thesis: Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems (2021)
Masha Itkina
Ph.D.
Thesis: Uncertainty-aware spatiotemporal perception for autonomous vehicles (2022)
Sheng Li
Ph.D.
Thesis: Structured cooperative multi-agent coordination (2022)
Chris Lazarus
Ph.D.
Thesis: Trustworthy machine learning by efficiently verifying compressed models (2022)
Chelsea Sidrane
Ph.D.
Thesis: Neural network verification for nonlinear systems (2022)
Jean-Raymond Betterton
Ph.D.
Thesis: Reinforcement learning for adaptive sampling in X-ray applications (2022)
Soyeon Jung
Ph.D.
Probabilistic modeling of air and ground vehicle trajectories (2023)
Sydney Katz
Ph.D.
Safe machine learning-based perception via closed-loop analysis (2023)
Mery Toyungyernsub
Ph.D.
Spatiotemporal occupancy prediction for autonomous driving (2023)
