A Data Converter Assisted Beamforming Technique
Zhenghan Lin [advisor: Borivoje Nikolic]

Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond
Tanmay Gautam [advisor: Somayeh Sojoudi]

Algorithms for Robust and Memory-Efficient Learning
Fred Zhang [advisor: Jelani Nelson]

Backyard-Degradable Interactive Electronics
Katherine Song [advisor: Eric Paulos]

Bridging Gaps Between Metrics and Social Outcomes in Multi-Stakeholder Machine Learning
Serena Lutong Wang [advisor: Michael Jordan]

Collaborative Learning: Aligning Goals and Outcomes
Mariel Werner [advisor: Michael Jordan]

Cryogenic Optical Link: Device, Circuit, and System
Bozhi Yin [advisor: Vladimir Stojanovic]

Disentangled Visual Generative Models
Dave Epstein [advisor: Alexei (Alyosha) Efros]

Enabling Efficient and Reliable Robot Manipulation Through Optimization, Interactive Perception and Self-Supervised Learning
Yahav Avigal [advisor: Ken Goldberg]

From Simulation to the Real World: Deep Reinforcement Learning for Training Robust, Wave-Smoothing Policies for Autonomous Vehicles
Kathy Jang [advisor: Alexandre Bayen]

High-Performance Hybrid Switched-Capacitor Power Converters: Circuit Topologies, Control Techniques, and Analytical Models
Yicheng Zhu [advisor: Robert Pilawa-Podgurski]

Modeling Social Interactions from Multimodal Signals
Evonne Ng [advisor: Trevor Darrell and Angjoo Kanazawa]

New Perspectives on Adversarially Robust Machine Learning Systems
Chawin Sitawarin [advisor: David A. Wagner]

Object-Centric Perception for Real-World Robotics
Nikhil Mishra [advisor: Pieter Abbeel]

PLL Design for FMCW Radar Systems
Benyuanyi Liu [advisor: Ali Niknejad]

Providing Efficient Fault Tolerance in Distributed Systems
Siyuan Zhuang [advisor: Ion Stoica and Dawn Song]

Reliable Representation Learning: Theory and Practice
Yaodong Yu [advisor: Michael Jordan and Yi Ma]

Representation Learning for Efficient Localized Image Retrieval
Lucas Jaffe [advisor: Avideh Zakhor]

Robust Task Specification for Learning Systems
Sam Toyer [advisor: Stuart J. Russell]

Scalable and Efficient Systems for Large Deep Learning Models
Lianmin Zheng [advisor: Ion Stoica and Joseph Gonzalez]

Scalable Lifelong Imitation Learning for Robot Fleets
Ryan Hoque [advisor: Ken Goldberg]

Secure Systems from Insecure Components
Emma Dauterman [advisor: Ion Stoica and Raluca Ada Popa]

Sky Computing with Intercloud Brokers
Zhanghao Wu [advisor: Ion Stoica]

Solving Matrix Sensing to Optimality under Realistic Settings
Ziye Ma [advisor: Somayeh Sojoudi]

Structure and Representation in Neural Networks
Daniel Filan [advisor: Stuart J. Russell]

Teaching Large Language Models to Use Tools at Scale
Shishir Patil [advisor: Ion Stoica, Joseph Gonzalez and Prabal Dutta]

The Management of Context in the Machine Learning Lifecycle
Rolando Garcia [advisor: Joseph M. Hellerstein]

Towards A Machine Capable of Learning And Discovering Everything
Hao Liu [advisor: Pieter Abbeel]

Towards a Wireless Fluorescence Microscope on A Chip
Rozhan Rabbani [advisor: Vladimir Stojanovic]

Understanding, Building, and Evaluating Models for Context Aware Conditional Natural Language Generation
David Chan [advisor: John F. Canny]

Wideband and Energy-Efficient Millimeter-Wave to Sub-THz CMOS Receivers and LO Generation for High-Capacity Wireless Communications
Ethan Chou [advisor: Ali Niknejad]