Ph.D. Dissertations - 2023

Advances in Zero-Knowledge Proofs: Bridging the Gap between Theory and Practice
Tiancheng Xie [advisor: Dawn Song]

Bridging the Gap between Humans and Machines in 3D Object Perception
Jasmine Collins [advisor: Jitendra Malik and Bruno Olshausen]

Control and Simulation of Power Electronic Dominated Power Systems
Ciaran Roberts [advisor: Seth R. Sanders and Duncan Callaway]

Data and Label Efficient Representation Learning
Colorado Reed [advisor: Kurt Keutzer and Trevor Darrell]

Deep Generative Models for Decision-Making and Control
Michael Janner [advisor: Sergey Levine]

Deformation in Robotics: Applications in Tactile Sensing and Grasp Planning
Isabella Huang [advisor: Ruzena Bajcsy]

Efficient Zero-Knowledge Proofs: Theory and Practice
Jiaheng Zhang [advisor: Dawn Song]

Generative Models for Image and Long Video Synthesis
Tim Brooks [advisor: Alexei (Alyosha) Efros]

Generative Models of Images and Neural Networks
Bill Peebles [advisor: Alexei (Alyosha) Efros]

Geometry-Inspired Sampling Algorithms and Random Graphs
Elizabeth Yang [advisor: Satish Rao]

High Performance Hybrid Switched-Capacitor Converters for Aerospace Applications
Sam Coday [advisor: Robert Pilawa-Podgurski]

High-Fidelity 3D Mesh Reconstruction of Humans and Objects
Shubham Goel [advisor: Jitendra Malik and Angjoo Kanazawa]

Integrated Signal Processing for Massive MIMO Systems
Yue Dai [advisor: Borivoje Nikolic]

Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments
Chloe Hsu [advisor: Moritz Hardt and Jennifer Listgarten]

Learning to Design and Engineer Proteins from Evolution, 3D Structures, and Experiments
Chloe Hsu [advisor: Moritz Hardt and Jennifer Listgarten]

Learning to Design Protein and DNA Libraries
Akosua Busia [advisor: Michael Jordan and Jennifer Listgarten]

Liberating the Siloed Gateway: Application-Agnostic Connectivity and Interaction for the Internet of Things
Thomas Zachariah [advisor: Prabal Dutta]

Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency
Ke Wang [advisor: Michael Lustig and Stella Yu]

Magnetic Resonance Imaging and Modeling of Brain Magnetic Susceptibility
Jingjia Chen [advisor: Chunlei Liu]

MEMS Mirror-Based High-Speed Spatial Light Modulators
Cem Yalcin [advisor: Rikky Muller]

Neural Software Abstractions
Michael Chang [advisor: Thomas Griffiths and Sergey Levine]

Novel Non-Volatile Memory Devices and Applications
Tsegereda Esatu [advisor: Tsu-Jae King Liu]

Object and Scene Reconstruction using Neural Radiance Fields
Matthew Tancik [advisor: Ren Ng and Angjoo Kanazawa]

Perception for Real-World Robotic Applications
YuXuan Liu [advisor: Pieter Abbeel]

Performative Prediction: Theory and Practice
Juan Perdomo [advisor: Peter Bartlett and Moritz Hardt]

Photorealistic Reconstruction from First Principles
Sara Fridovich-Keil [advisor: Benjamin Recht]

Prediction and Statistical Inference in Feedback Loops
Tijana Zrnic [advisor: Michael Jordan and Moritz Hardt]

Pretrained Representations for Embodied AI
Sasha Sax [advisor: Jitendra Malik]

Pulsed Electroluminescent Devices for Emission Across Energy and Length Scales
Vivian Wang [advisor: Ali Javey]

Recent Advances in Urban Mobility: Analyzing Efficiency, Equity and Safety
Akhil Shetty [advisor: Kameshwar Poolla]

Robust Machine Learning for the Control of Real-world Robotic Systems
Tyler Westenbroek [advisor: S. Shankar Sastry]

Sequential Decision Making under Uncertainty: Optimality Guarantees, Compositional Learning, and Applications to Robotics and Ecology
Michael Lim [advisor: Claire Tomlin]

Structure-Driven Algorithm Design in Optimization and Machine Learning
Tianyi Lin [advisor: Michael Jordan]

Test-Time Training
Yu Sun [advisor: Alexei (Alyosha) Efros and Moritz Hardt]

Toward Platform-based Building Design
Wendy Lin [advisor: Costas J. Spanos]

Towards Robust and Scalable Large Language Models
Paras Jain [advisor: Ion Stoica and Joseph Gonzalez]

Transferable Generative Models
Ajay Jain [advisor: Pieter Abbeel]