Team (preview A: grid/compact)

Faculty

Current Postdocs

Current Students

Former Students (PhD)

Yuji Chai

Ph.D. 2025
“Resource Optimization of Emerging Machine Learning Workloads on Edge Devices”
Current: Co-founder / Chief AI Officer at Stochastic AI

Yunho Jin

Ph.D. 2025
“Memory-centric AI: Optimizing for Memory System in Large-scale AI”
Current: Software Engineer at Google

Samuel Hsia

Ph.D. 2024
“Architecting Efficient, Large-Scale AI: An Algorithm-System Co-Design Approach”
Current: Research Scientist at Meta (FAIR)

Max Lam

Ph.D. 2024
“Systems and Algorithms for Efficient, Secure and Private Machine Learning Inference”
Current: Apple

Iulian Brumar

Ph.D. 2023
“Early-Stage Non-Conventional Hardware Accelerator Discovery via Optimization Methods and Compiler Analysis”
Current: Senior AI Compiler Engineer, Qualcomm

Thierry Tambe

Ph.D. 2023
“Architecting High Performance Silicon Systems for Accurate and Efficient On-Chip Deep Learning”
Current: Assistant Professor, Stanford University

Udit Gupta

Ph.D. 2022
“Enabling High Performance, Efficient, and Sustainable Deep Learning Systems At Scale”
Current: Assistant Professor, Cornell University

Emma Wang

Ph.D. 2019
“Performance Analysis for Machine Learning Applications”
Current: Senior Staff Software Engineer at Google

Brandon Reagen

Ph.D. 2018
“On the Design and Optimization of Specialized Hardware with Applications in Deep Learning”
Current: Assistant Professor, New York University

Sam Xi

Ph.D. 2018
“Advancing System-Level Analysis and Design of Specialized Architectures”
Current: Staff Software Engineer at Google

Svilen Kanev

Ph.D. 2016
“Efficiency in warehouse-scale computers: a datacenter tax study”
Current: Software Engineer at Google

Sae Kyu Lee

Ph.D. 2016
“High Efficiency Power Delivery for Chip Multiprocessors using Voltage Stacking”
Postdoctoral Fellow, 2016–2017
Current: EnCharge AI

Mario Lok

Ph.D. 2016
“Power Electronics Design for an Insect-Scaled Flapping Wing Robot with High Voltage Integrated Circuits”
Current: Skydio

Yakun Sophia Shao

Ph.D. 2016
“Design and Modeling of Specialized Architectures”
Current: Associate Professor, UC Berkeley

Kevin Brownell

Ph.D. 2015
“Architectural Implications of Automatic Parallelization with HELIX-RC”
Current: Staff Software Engineer at Google

Tao Tong

Ph.D. 2015
“Improving SoC Power Delivery With Fully Integrated Switched-Capacitor Voltage Regulators”
Current: Co-founder, Kolmostar

Michael Lyons

Ph.D. 2013
“Toward a Hardware Accelerated Future”
Current: Staff Software Engineer at Dropbox

Wonyoung Kim

Ph.D. 2012
“Reducing Power Loss, Cost and Complexity of SoC Power Delivery using Integrated 3-Level Voltage Regulators”
Current: Co-founder/CEO of Lion Semiconductor, acquired by Cirrus Logic

Michael Karpelson

Ph.D. 2011
“Power electronics design for a flapping-wing robotic insect”
Current: Senior Staff Electrical Engineer – Robotics, Harvard SEAS

Krishna Rangan

Ph.D. 2011
“Hardware-Based Thread Scheduling for Power-Efficient and Variation-Resilient Chip Multiprocessors”
Current: Systems/SoC Architect at Meta

Ankur Agrawal

Ph.D. 2010
“Design of high speed I/O interfaces for high performance microprocessors”
Current: Hardware Engineer, Google

Vijay Janapa Reddi

Ph.D. 2010
“Software-Assisted Hardware Reliability: Enabling Aggressive Timing Speculation Using Run-Time Feedback from Hardware and Software”
Current: Professor, Harvard University

Hayun Chung

Ph.D. 2009
“Design considerations for high-speed backplane transceivers with digital adaptive equalizers”
Current: Associate Professor, Korea University (Sejong)

Meeta Gupta

Ph.D. 2009
“Variation-aware processor architectures with aggressive operating margins”
Current: Founder, Shumee

Mark Hempstead

Ph.D. 2009
“Accelerator-Based Architectures for Wireless Sensor Network Applications”
Current: Professor, Tufts University

Xiaoyao Liang

Ph.D. 2009
“From Uncertainty to Opportunity: Joint Architecture and Circuit Resilience to Mitigate the Impact of Process Variations”
Current: Professor, Shanghai Jiao Tong University

Benjamin Lee

Ph.D. 2008
“Statistical Inference for Efficient Microarchitectural Analysis”
Current: Professor, University of Pennsylvania

Ruwan Ratnayake

Ph.D. 2008
“A High-Throughput Maximum a posteriori Probability Detector for Iterative Detection”
Current: Senior Principal Engineer, Marvell Semiconductor

Amber Tan

Ph.D. 2006
“Design of Noise-Robust Clock and Data Recovery Using an Adaptive-Bandwidth Mixed PLL/DLL”
Current: Marvell

Former Postdocs

Sae Kyu Lee

Ph.D. 2016
“High Efficiency Power Delivery for Chip Multiprocessors using Voltage Stacking”
Postdoctoral Fellow, 2016–2017
Current: EnCharge AI