Master's Theses & Technical Reports - 2024
M.S.
Learning Open-World Robot Navigation from Experience
Dhruv Shah [advisor: Sergey Levine]
A Study on Advanced Ising Machine Designs: BLIM, King's Graph Mapping, and OIM Chips
Jui-Hsin Hung [advisor: Jaijeet Roychowdhury]
Accelerated Modeling of Electronic Devices using Graph Neural Networks
Pratik Brahma [advisor: Sayeef Salahuddin]
An EMI-Compliant and Automotive-Rated 48 V to Point-of-Load Dickson-Based Hybrid Switched-Capacitor DC-DC Converter
Sahana Krishnan [advisor: Robert Pilawa-Podgurski]
Application-Integrated Record-Replay of Distributed Systems
Narek Galstyan [advisor: Scott Shenker and Sylvia Ratnasamy]
BeeGees: Stayin' Alive in Chained BFT
Neil Giridharan [advisor: Natacha Crooks]
Bottom-Up and Top-Down Attention in Deep Vision Models
Baifeng Shi [advisor: Trevor Darrell]
Constructing Taxonomies from Pretrained Language Models
Catherine Chen [advisor: Daniel Klein and Jack Gallant]
DEEP ARTICULATORY SEGMENTATION AND SPEECH SYNTHESIS USING RT-MRI
Peter Wu [advisor: Gopala Krishna Anumanchipalli]
Deep Reinforcement Learning for Autonomous Vehicles: Improving Traffic Flow in Mixed-Autonomy
Nathan Lichtle [advisor: Alexandre Bayen]
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy
Emily Aiken [advisor: Hany Farid]
FogROS2-SGC: A Secure and Global Connectivity Framework For Latency Sensitive Cloud Robotics
Eric Chen [advisor: John D. Kubiatowicz]
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
Long Lian [advisor: Trevor Darrell and Adam Yala]
Pairwise Proximal Policy Optimization: Large Language Models Alignment via Comparative RL
Tianhao Wu [advisor: Kannan Ramchandran and Jiantao Jiao]
Pairwise Proximal Policy Optimization: Large Language Models Alignment via Comparative RL
Tianhao Wu [advisor: Kannan Ramchandran and Jiantao Jiao]
Printed Interlayers for Organic Solar Cells
Sophie Koh [advisor: Ana Claudia Arias]
Silicon Microring Resonator Design for Monolithic Electronic–Photonic Biosensing System
Hyeong Seok Oh [advisor: Vladimir Stojanovic]
Syntactic Code Search with Sequence-to-Tree Matching
Gabriel Matute [advisor: Alvin Cheung and Sarah Chasins]
Systems for Machine Learning on Edge Devices
Shishir Patil [advisor: Joseph Gonzalez and Prabal Dutta]
Towards a Quantum Hardware Roofline: Evaluating the Impact ofGate Expressivity on Processor Design
Justin Kalloor [advisor: John D. Kubiatowicz]
5th Year M.S.
Critical Engagement in Large-Scale Undergraduate Computing Programs
Jedidiah Tsang [advisor: Joshua Hug and Lisa Yan]
A Dataset for Learning Conversational Style
Roshan Regula [advisor: Gopala Krishna Anumanchipalli]
A Novel Self-Supervised Deep Learning Method for MRI Reconstruction
Frederic Wang [advisor: Michael Lustig]
Achieving AI Alignment with Unreliable Supervision
Shivam Singhal [advisor: Anca Dragan]
Adapting Segment Anything Model to Invasive Melanoma Segmentation in Microscopy Slide Images
Qingyuan Liu [advisor: Avideh Zakhor]
Advancing Assistive Mouse and Keyboard Control Scheme Using Two-Handed Gesture Recognition for Human-Computer Interaction
Shawn Zhao [advisor: Brian A. Barsky]
Advancing Robust and Aligned Measures of Semantic Similarity in Large Language Models
Samarth Goel [advisor: Kannan Ramchandran]
Automated Tree Censusing from Aerial Imagery with Noisy Supervision
Sandeep Mukherjee [advisor: Ken Goldberg]
Autonomous Assessment of Demonstration Sufficiency
Alina Trinh [advisor: Stuart J. Russell]
Berkeley MRI Shimming Tool: Online B0 Shimming using Conformal and Local DC Arrays
Robert Peltekov [advisor: Michael Lustig]
CherryML 2.0: Almost Linear Time Estimation of Phylogenetic Models
Wilson Wu [advisor: Yun S. Song]
Compressive Deconvolution Methods of Higher-Order-Aberrated Optical Systems
Saketh Malyala [advisor: Brian A. Barsky]
Concurrency Without Threads for Multicore Microprocessors
Samuel Berkun [advisor: Edward A. Lee]
Continuous Autonomous Improvement for Mobile Manipulation
Hrish Leen [advisor: Sergey Levine]
CoS: Enhancing Personalization and Mitigating Bias with Context Steering
Sashrika Pandey [advisor: Anca Dragan]
Counting Counts: Overcoming Counting Challenges in Image Generation using Reinforcement Learning
Shaan Gill [advisor: Trevor Darrell]
Cryogenic and RF Performance of Negative Capacitance Field-Effect Transistors
Aditya Varma [advisor: Sayeef Salahuddin]
Dealing with Time: Measuring Real-Time Capabilities of Lingua Franca
Efsane Soyer [advisor: Edward A. Lee]
Design and Analysis of Uncertainty-Aware Modularized Autonomy Stacks
David Shen [advisor: Claire Tomlin]
Developing and Evaluating LLM Assistants in Introductory Computer Science
Laryn Qi [advisor: John DeNero]
Digital Calibration of Voltage-Controlled Oscillator (VCO) Nonlinearity using a Delta-Sigma DAC
Ashwin Rammohan [advisor: Rikky Muller]
Digital Calibration of Voltage-Controlled Oscillator (VCO) Nonlinearity using a Delta-Sigma DAC
Ashwin Rammohan [advisor: Rikky Muller]
DL-ZTE: Towards Deep Learning-based Methods for Dead Time Gap Recovery in Zero TE MRI
Ana Cismaru [advisor: Michael Lustig]
Do Vision and Language Encoders Represent the World Similarly?
Raiymbek Akshulakov [advisor: Jitendra Malik]
Do Vision and Language Encoders Represent the World Similarly?
Raiymbek Akshulakov [advisor: Jitendra Malik]
Dreamcrafter: Imagining Future Immersive Radiance Field Editors with Generative AI
Cyrus Vachha [advisor: Björn Hartmann]
Dynamic and Composable Enclave Measurement
Evgeny Pobachienko [advisor: Dawn Song]
Efficient Distributed LLM Inference with Dynamic Partitioning
Isaac Ong [advisor: Ion Stoica]
Eliciting Domain Expertise Reduces Examples Needed for Program Synthesis
Jeremy Ferguson [advisor: Sarah Chasins]
Enhancing Emotional Expression in Text-to-Speech Models through Reinforcement Learning with AI Feedback
Roshan Nagaram [advisor: Trevor Darrell]
Enhancing QUIC: Quality-of-Service LLM Serving and MASQUE Proxy Scheduling
Rithvik Chuppala [advisor: Sylvia Ratnasamy]
EVIL SERVERLESS CONSENSUS
Chris Liu [advisor: Natacha Crooks]
Expander Flows and Sparsest Cut Linear Programming
William Lin [advisor: Satish Rao]
Extending Data Priors Across Domains with Diffusion Distillation
David McAllister [advisor: Angjoo Kanazawa]
Extensible Rule Language for Query Optimizer
Sicheng Pan [advisor: Alvin Cheung]
Finetuning as a Defense Against LLM Secret-leaking
Bryce Wong [advisor: Dawn Song]
First Token Probabilities are Unreliable Indicators for LLM Knowledge
Justin Shao [advisor: Jiantao Jiao]
Fleece QA: Self-Instruct Generation for Question Answering Dataset from Large Corpus
Yueheng Zhang [advisor: Dawn Song]
Gasper-Siesta: Reducing Ethereum’s Commit Latency
Siddhant Sharma [advisor: Natacha Crooks]
Hardware Accelerator for Convolutional Restricted Boltzmann Machines
Junghoon Han [advisor: Sayeef Salahuddin]
HiLT: A Framework for Generating Human-in-the-Loop Data Transformation GUIs
Sora Kanosue [advisor: Sarah Chasins]
Improving Output in Generative Models
Tarun Amarnath [advisor: S. Shankar Sastry]
Industrial Applications of Remote Monitoring, Learning, and Actuation
Shrey Aeron [advisor: Ken Goldberg]
Interactive Imitation Learning as Reinforcement Learning
Perry Dong [advisor: Yi Ma]
Interactive Robot Fleet Learning from Heterogeneous Human Supervisors using Implicit Energy-Based Models
Gaurav Datta [advisor: Ken Goldberg]
Iron in Alzheimer’s Disease: Analysis of the UK Biobank Dataset
Laurance Lau [advisor: Chunlei Liu]
Learning Factorizable Representation for Dynamical Visual Scene
Zeyu Yun [advisor: Bruno Olshausen and Sergey Levine]
Leveraging Zero-Shot Sim2Real Learning to Improve Autonomous Vehicle Perception
Ashwat Chidambaram [advisor: Murat Arcak]
Machine Learning Systems with Reduced Memory Requirements
Franklin Huang [advisor: Borivoje Nikolic]
Markerless Macaque Face Reconstruction Using Synthetic Data
Anik Gupta [advisor: Jitendra Malik]
Meta-learning for evolutionary-based protein property prediction
Arthur Deng [advisor: Jennifer Listgarten]
Motion Diffusion From Speech
Kushal Khangaonkar [advisor: Daniel Klein]
Novel Protein Evolution Models for Ancestral Sequence Reconstruction
Akshay Ravoor [advisor: Yun S. Song]
Object Discovery In Multi-Scene NeRFs
Junkeun Yi [advisor: Trevor Darrell]
Offshore Wind and Tidal Energy Integration into Power System Linear Programming Capacity Model
Sunay Dagli [advisor: Robert Pilawa-Podgurski]
On-the-Fly Memory Programming for Largely Unmodified Cryptographic Applications
Alice Yeh [advisor: Raluca Ada Popa]
Parallel Solving of Two-Player Tierable Abstract Strategy Games
Robert Shi [advisor: Dan Garcia]
Querying Labeled Time Series Data with Scenario Programs
Devan Shanker [advisor: Sanjit A. Seshia]
Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
Ruofeng Wang [advisor: Borivoje Nikolic]
RideGuard: Towards Privacy-Preserving Analytics for Mobility Applications
Arun Sundaresan [advisor: Sylvia Ratnasamy]
RLIF: Interactive Imitation Learning as Reinforcement Learning
Perry Dong [advisor: Yi Ma]
Scaling Zero Knowledge Proofs Through Application and Proof System Co-Design
Yuwen Zhang [advisor: Raluca Ada Popa]
Single-Shot View Synthesis using a Multiplexed Light Field Camera
Shamus Li [advisor: Laura Waller]
Skeleton-based Fall Detection using Spatial Temporal Graph Convolutional Networks with Learnable Edges
Alex Liang [advisor: Brian A. Barsky]
SonicSim: Socket-based Hardware Co-Simulation With Inter-process Communication
Richard Yan [advisor: Sophia Shao]
Task Scheduling for Decentralized LLM Serving in Heterogeneous Networks
Elden Ren [advisor: Dawn Song]
THOUGHTSCULPT: Reasoning with Intermediate Revision and Search
Yizhou Chi [advisor: Daniel Klein]
Toward Autonomous Endoscopic Surgery: a Framework and Case Studies for Robotic Learning in Healthcare
Will Panitch [advisor: Ken Goldberg]
Towards Efficient and Deterministic Dataflow Systems for Machine Learning
Jacky Kwok [advisor: Edward A. Lee]
Towards Fast and Accurate Computational Algorithms for Vision Correcting Displays
Joshua Chen [advisor: Brian A. Barsky]
Towards Robust Autonomous Systems through Uncertainty Quantification
Anish Muthali [advisor: Claire Tomlin]
Towards Runtime Behavior Generation in Games
Nicholas Jennings [advisor: Björn Hartmann]
Trajectory Prediction and Simulation for Improved Control of Connected Autonomous Vehicles
Avikam Chauhan [advisor: Alexandre Bayen]
V-Former: Offline RL with Temporally-Extended Actions
Jeffrey Wu [advisor: Sergey Levine]
VLM Guided Exploration via Image Subgoal Synthesis
Arjun Bhorkar [advisor: Sergey Levine]
VLSI Design and Circuits for Multiple Supply Domains
Bryan Ngo [advisor: Borivoje Nikolic]
3D Multispectral Colorimetry
Anjali Thakrar [advisor: Ren Ng]
3D Scene Part Decomposition
Jake Austin [advisor: Angjoo Kanazawa]