Doctoral Graduates

Thesis: Multi-rotor aircraft collision avoidance using partially observable Markov decision processes (2016)

Thesis: Automated air traffic control for non-towered airports (2016)

Thesis: Optimal planning with rare catastrophic events (2016)

Thesis: Automotive safety validation in simulation (2018)

Thesis: Safety and efficiency in autonomous vehicles through planning with uncertainty (2018)

Thesis: Efficient and low-cost localization of radio sources with an autonomous drone (2018)

Thesis: AdaStress: Adaptive stress testing and interpretable categorization for safety-critical systems (2019)

Thesis: Optimal aircraft rerouting during space launches (2019)

Thesis: Deep data-driven modeling and control of high-dimensional nonlinear systems (2019)

Thesis: Safe and scalable planning under uncertainty for autonomous driving (2020)

Thesis: Health-Aware Decision Making under Uncertainty for Complex Systems (2020)

Thesis: Safe and Efficient Aircraft Guidance and Control using Neural Networks (2020)

Thesis: Modularity and Coordination for Planning and Reinforcement Learning (2020)

Thesis: Algorithms for Black-Box Safety Validation (2021)

Thesis: Modeling Human Driving from Demonstrations (2021)

Thesis: Task Planning for Earth Observing Satellite Systems (2021)

Thesis: Approximate Methods for Validating Autonomous Systems in Simulation (2021)

Thesis: Reinforcement Learning: When Can We do Sample Efficient Exploration? (2021)

Thesis: Data-Driven Modeling of Dynamical Systems (2021)

Thesis: Hierarchical Decision Making in Coordinated Multi-Robot Networks (2021)

Thesis: Algorithms for Multi-Agent Robotic Assembly Planning (2021)

Thesis: Wearable Systems for Monitoring Physical Activity and Optimizing an Exoskeleton (2021)

Thesis: Deep Reinforcement Learning Methods for Autonomous Driving Safety and Interactivity (2021)

Thesis: Monte Carlo Planning and Reinforcement Learning for Large Scale Sequential Decision Problems (2021)

Thesis: Uncertainty-aware spatiotemporal perception for autonomous vehicles (2022)

Thesis: Structured cooperative multi-agent coordination (2022)

Thesis: Trustworthy machine learning by efficiently verifying compressed models (2022)

Thesis: Neural network verification for nonlinear systems (2022)

Thesis: Reinforcement learning for adaptive sampling in X-ray applications (2022)

Thesis: Probabilistic modeling of air and ground vehicle trajectories (2023)

Thesis: Safe machine learning-based perception via closed-loop analysis (2023)

Thesis: Spatiotemporal occupancy prediction for autonomous driving (2023)

Thesis: Robotic path planning with sparse environment representations (2023)

Thesis: Planning under uncertainty in safety-critical systems (2024)

Thesis: Theoretical foundations and applications of integrated learning architectures for graphs (2024)

Thesis: Autonomous exploration of unknown environments (2024)

Thesis: Safe planning under uncertainty using surrogate models (2025)

Thesis: Scalable probabilistic modeling and inference with structured latent representations (2025)

Thesis: Robust policy generalization and risk quantification (2025)

Thesis: Sampling and estimation for the validation of safety-critical autonomous systems (2025)

Thesis: Multi-future environment forecasting and occlusion inference for autonomous driving (2025)

Thesis: Collaborative multiagent decision making via action suggestions (2025)

Thesis: Reasoning and planning using contextual semantics in unstructured environments (2025)

Thesis: Enhancing safety through generative models in decision-making systems (2025)

Thesis: Representations of uncertainty for tractable estimation and control (2026)

Thesis: Mechanistic analysis and runtime checks for machine learning in safety-critical applications (2026)