M.S. | 5th Year M.S.

M.S.

Accelerating Randomized Numerical Linear Algebra on a Short-Vector Machine
Jingyi Xu [advisor: Borivoje Nikolic and Sophia Shao]

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
Paul Zhiyuan Zhou [advisor: Sergey Levine]

Controlled Preemption: Amplifying Side-Channel Attacks from Userspace
Yongye Zhu [advisor: Christopher Fletcher]

Dense integration of compact topological photonic crystal cavities
Yertay Zhiyenbayev [advisor: Boubacar Kanté]

Designing a DNA-Based “Smart Photoresist” Procedure for Electronics Self-Assembly
Erina Iwasa [advisor: Grigory Tikhomirov]

Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach
Pan-Yang Su [advisor: S. Shankar Sastry]

Learning to Drive by Imitating Surrounding Vehicles
Yasin Sonmez [advisor: Murat Arcak]

Modeling Diversity Dynamics in Time-Evolving Collaboration Networks
Christopher Archer [advisor: Gireeja Ranade]

Predicting Degradation of Fuel Cell Membrane Electrode Assemblies from Buses
Harsh Srivastav [advisor: Alexandre Bayen]

Scaling Reasoning Agents Through Learning and Search
Jiayi Pan [advisor: Alane Suhr]

The Free Termination Property of Queries Over Time
Conor Power [advisor: Joseph M. Hellerstein]

To tile or not to tile, that is the question
Altan Haan [advisor: Max Willsey]

Towards a TMS- and MRI- Compatible Wireless EEG System
Yu-Chi Lin [advisor: Kristofer Pister and Ali Niknejad]

Towards Wideband Linear RF Transmitters for Millimeter-Wave Arrays
Yikuan Chen [advisor: Ali Niknejad]

5th Year M.S.

A Foundational Framework for Joint Speech and 4D Avatar Generation from Syllabic Tokens
Rishi Jain [advisor: Gopala Krishna Anumanchipalli]

A Function Calling Perspective on Scalable Large Language Model Agent Evaluation
Fanjia Yan [advisor: Joseph Gonzalez]

Accented Non-Autoregressive Text to Speech via Articulatory Features
Xavier Yin [advisor: Gopala Krishna Anumanchipalli]

AI-Assisted Dataset Discovery with DATASCOUT
Rachel Lin [advisor: Aditya Parameswaran]

Articulatory Voice-to-Instrument Timbre Transfer in Real-Time with Audio-Conditioned DDSP
David Babazadeh [advisor: Claire Tomlin]

Auxiliary States for Decentralized Optimization in Probabilistic Communication Networks
Noah Adhikari [advisor: Joshua Hug]

Behavioral Alignment and Verifiable Explainability in Autonomous Driving
Ashish Pandian [advisor: Alexandre Bayen]

Benchmarking Extraction of Structured Data from Templatized Documents
Mawil Hasan [advisor: Aditya Parameswaran]

Benchmarking LLMs on Advanced Mathematical Reasoning
Jonathan Yue [advisor: Daniel Klein]

Bimanual Dexterity: 3D Object Reconstruction and Cross-Embodiment Learning for Generalizable Manipulation
Zehan Ma [advisor: Ken Goldberg]

Buyer-Side Recommendation Agents
Andrew Qin [advisor: Kannan Ramchandran]

Chip Placement with Diffusion Models
Vint Lee [advisor: Pieter Abbeel]

Control of a 7-DOF MRI Compatible Robot Arm
Naichen Zhao [advisor: Ronald S. Fearing]

Delay-Locked Loops for Multiphase Clock Generation
Oliver Yu [advisor: Borivoje Nikolic]

Demystifying Decision-Making of Deep RL through Validated Language Explanations
Ashwin Dara [advisor: Alexandre Bayen]

Designing LLM based agents to interact with the embodied world
Dylan Goetting [advisor: Jitendra Malik]

DiT-Serve and DeepCoder: Enabling Video and Code Generation at Scale
Rachel Xin [advisor: Joseph Gonzalez]

Enforcing Least Privilege Cross-Cloud Resource Access for Cloud Orchestrators
Alec Li [advisor: Raluca Ada Popa]

Extending Delayed Fair Sharing: A Generalizable Framework for Multi-Resource Performance Isolation
James DeLoye [advisor: Joseph Gonzalez]

FALCON: Full Stack Evaluation Testbed of Compute Offloaded Extended Reality Systems
Zekai Lin [advisor: Sophia Shao]

FlowFusion: Optimizing Cloud Workflows Through Fusion and Parallelization
Nithin Tatikonda [advisor: Alvin Cheung]

From Recovery to Locomotion: Learning Robust Humanoid Control via Curriculum and Policy Distillation
Stefanie Theodora Karolina Gschwind [advisor: Sergey Levine]

GamesmanROS: A Generalized Game-Playing Robotic System
Nakul Srikanth [advisor: Dan Garcia]

GamesPlane: Augmented Reality Gamesman
Miller Hollinger [advisor: Dan Garcia and Ken Goldberg]

Improving Auto-Formalization to UCLID5 with LLMs and Formal Methods
Anirudh Chaudhary [advisor: Sanjit A. Seshia]

Improving Energy Efficiency of Machine Learning Software with an Instruction-Level Dynamic Energy Model for DNN Accelerators
Jonathan Wang [advisor: Sophia Shao]

Improving LLM Performance in Generating Verilog by Fine Tuning with a Translated Code Dataset
Brendan Roberts [advisor: Sophia Shao]

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Anish Kachinthaya [advisor: Trevor Darrell]

Investigations in Optimal Transaction Scheduling
Darren Teh [advisor: Ion Stoica]

Kokkos GPU Implementation of CPU-Based BLAS/LAPACK Operations and RandBLAS Randomization
Rahul Shah [advisor: James Demmel]

Learning to Race Full-Scale Autonomous Racecars
Eric Berndt [advisor: S. Shankar Sastry]

LLM-Powered EDA Log Analysis for Effective Design Debugging
Rohit Kanagal [advisor: Borivoje Nikolic]

Measuring General Intelligence with Generated Games
Vivek Verma [advisor: Daniel Klein]

Monocular Depth Estimation for 3D Scene Completion in Autonomous Racing
Wei Xun Lai [advisor: S. Shankar Sastry]

Multimodal Differential Phase Contrast and Fluorescence Microscopy For Characterizing Protein Aggregation
William Xu [advisor: Laura Waller]

Network Fault Localization for the InterEdge
Matthew Fogel [advisor: Scott Shenker]

On Unsupervised Object-Centric Representation Learning: Advantages and Shortcomings
Yarden Goraly [advisor: Claire Tomlin]

Point Track Prediction Models Enable Imitation from Action-less Datasets
Aryan Jain [advisor: Pieter Abbeel]

Precision Placement of DNA Origami onto Patterned Silicon Wafer Surfaces
Leo Huang [advisor: Grigory Tikhomirov]

Protein Language Model Fitness is a Matter of Preference
Cade Gordon [advisor: Pieter Abbeel]

Reinforcement Learning for Safe LLM Code Generation
Roy Huang [advisor: Joseph Gonzalez]

Reward Modeling for Human Preferences
Evan Frick [advisor: Jiantao Jiao]

Robust Multimodal Perception Stack for High-Speed Autonomous Racecars
Kaushik Singh [advisor: S. Shankar Sastry]

Scalable Requirements Elicitation Education Through Simulated Interview Practice with Large Language Models
Nelson Lojo [advisor: Armando Fox]

Scaling Properties of Diffusion Models for Perceptual Tasks
Zeeshan Patel [advisor: Alexei (Alyosha) Efros]

The Development and Management of GradeSuite: A Microservice LMS for Mastery Learning
Connor Bernard [advisor: Dan Garcia]

Toward Pedagogically Effective AI for Introductory Computer Science
Michael Wu [advisor: Prabal Dutta]

Towards Controllable Language Models With Instruction Hierarchies
Jonathan Lu [advisor: David A. Wagner]

Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians
Ishan Amin [advisor: Aditi Krishnapriyan]

Training and Analyzing Language Agents in Socially Complex Dialogues
Jessica Lin [advisor: Sergey Levine]

UPSC2M: Benchmarking Adaptive Learning from Two Million MCQ Attempts
Kevin Shi [advisor: Jitendra Malik]

Vision-Guided Outdoor Obstacle Evasion for UAVs via Reinforcement Learning
Shiladitya Dutta [advisor: Avideh Zakhor]

3D Part Scanning, Inspection, and Representation
Tianshuang Qiu [advisor: Ken Goldberg]