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2119
Doctoral Graduates | SISL
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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)