Ph.D. Dissertations - 2021

Automated, FPGA-Based Hardware Emulation of Dynamic Frequency Scaling
David Biancolin [advisor: Krste Asanović and Jonathan Bachrach]

Charting Cellular States, One Cell at a Time: Computational, Inferential and Modeling Perspectives
Romain Lopez [advisor: Michael Jordan and Nir Yosef]

Circuits and Control for High-Performance Grid-tied Ac-Dc Conversion Systems
Zitao Liao [advisor: Robert Pilawa-Podgurski]

Compact and Efficient Power Electronics System Design for Automotive, Solar, and Aerospace Applications
Derek Chou [advisor: Robert Pilawa-Podgurski]

Designing Algorithms for Learning and Decision-Making in Societal Systems
Eric Mazumdar [advisor: S. Shankar Sastry and Michael Jordan]

Energy Efficient Communication Links for Smart Devices
Nathan Narevsky [advisor: Jan M. Rabaey]

Expanding the Reach of Fuzz Testing
Caroline Lemieux [advisor: Koushik Sen]

Exploration and Safety in Deep Reinforcement Learning
Joshua Achiam [advisor: S. Shankar Sastry and Pieter Abbeel]

Generative Models as a Robust Alternative for Image Classification: Progress and Challenges
An Ju [advisor: David A. Wagner]

High-performance FMCW LiDAR with MEMS Optical Beam Scanner
Xiaosheng Zhang [advisor: Ming C. Wu]

How to Train Your Robot: Techniques for Enabling Robotic Learning in the Real World
Abhishek Gupta [advisor: Pieter Abbeel and Sergey Levine]

Improving FPGA Simulation Capacity with Automatic Resource Multi-Threading
Albert Magyar [advisor: Krste Asanović and Jonathan Bachrach]

In Silico Metabolic Modeling of Single Th17 Cells Reveals Regulators of Autoimmunity
Allon Wagner [advisor: Nir Yosef]

Infrastructure Support for Datacenter Applications
Michael Chang [advisor: Scott Shenker]

Infrastructure Support for Datacenter Applications
Michael Chang [advisor: Thomas Griffiths and Sergey Levine]

Interaction History for Building Human-Data Interfaces
Yifan Wu [advisor: Joseph M. Hellerstein]

Learning and Logic for Formal Synthesis
Benjamin Caulfield [advisor: Sanjit A. Seshia and Stavros Tripakis]

Learning Grounded Pragmatic Communication
Daniel Fried [advisor: Daniel Klein]

Learning, Planning, and Acting with Models
Thanard Kurutach [advisor: Stuart J. Russell and Pieter Abbeel]

Learning Predictive Models for Efficient Policy Learning
Huazhe Xu [advisor: Trevor Darrell]

Lucid Fabrication
Rundong Tian [advisor: Eric Paulos]

Machine Learning for Deep Image Synthesis
Taesung Park [advisor: Alexei (Alyosha) Efros]

Model Selection for Contextual Bandits and Reinforcement Learning
Aldo Pacchiano [advisor: Michael Jordan and Peter Bartlett]

Nanoelectromechanical Switch Design and Implementation in Back-End-of-Line Technology
Urmita Sikder [advisor: Tsu-Jae King Liu]

Nanoelectromechanical Switch Design and Implementation in Back-End-of-Line Technology
Urmita Sikder [advisor: Tsu-Jae King Liu]

Neural Guidance in Constraint Solvers
Gil Lederman [advisor: Edward A. Lee and Sanjit A. Seshia]

Optical Antenna-Enhanced Light-Emitting Diodes and Inverse Electromagnetic Design
Sean Hooten [advisor: Eli Yablonovitch]

Photonic heat engines at thermodynamic limits
Zunaid Omair [advisor: Eli Yablonovitch]

Provable and Efficient Algorithms for Federated, Batch and Reinforcement Learning
Avishek Ghosh [advisor: Kannan Ramchandran and Aditya Guntuboyina]

Scalable Machine Learning Algorithms for Biological Sequence Data
Jeffrey Chan [advisor: Yun S. Song]

Scalable Reinforcement Learning Systems and their Applications
Eric Liang [advisor: Ion Stoica]

Self-Adapting Software for Cyberphysical Systems
Gabe Fierro [advisor: David E. Culler]

Sharp Switching in Tunnel Transistors and Physics-based Machines for Optimization
Sri Krishna Vadlamani [advisor: Eli Yablonovitch]

Single-Mode Waveguide Coupling of Optical Antenna-LED for Optical Interconnects
Nicolas Andrade [advisor: Ming C. Wu]

Solution Processed Electronics for Flexible Hybrid Electronic Systems
Jonathan Ting [advisor: Ana Claudia Arias]

Statistical Complexity and Regret in Linear Control
Max Simchowitz [advisor: Michael Jordan and Benjamin Recht]

The hippocampal code - Towards understanding neural representations underlying spatial navigation
Archit Gupta [advisor: Jose M. Carmena and David Foster]

Towards High-Endurance, Nonvolatile, CMOS-Compatible Ferroelectric Memories for Next-Generation Computing
Ava Tan [advisor: Sayeef Salahuddin]

Towards Ubiquitous Serverless Computing: Fast Large-Scale Machine Learning and Optimal Pricing for the Cloud
Vipul Gupta [advisor: Kannan Ramchandran and Thomas Courtade]

Two-Dimensional Semiconductors for Next-Generation Optoelectronics
Hyungjin Kim [advisor: Ali Javey]

Usable and Efficient Systems for Machine Learning
Doris Xin [advisor: Aditya Parameswaran]

Visual Content Creation by Generative Adversarial Networks
Samaneh Azadi [advisor: Trevor Darrell]