David Brooks : Haley Family Professor of Computer Science

David Brooks

Haley Family Professor of Computer Science

Dr. Brooks received his B.S. from University of Southern California in EE in 1997 and his M.A. and Ph.D. in EE from Princeton in 2001. He spent a year at IBM T.J. Watson Research Center in 2001 before joining Harvard in 2002. His research focuses on the interaction between the architecture and software of computer systems and underlying hardware implementation challenges, including power, reliability, and variability issues across embedded and high-performance computing systems. 



Gu-Yeon Wei : Gordon McKay Professor of Electrical Engineering

Gu-Yeon Wei

Gordon McKay Professor of Electrical Engineering

Dr. Wei received his B.S.E.E., M.S., and Ph.D. in Electrical Engineering from Stanford University in 1994, 1997, and 2001, respectively. In 2000, he joined Accelerant Networks (now a part of Synopsys) in Beaverton, Oregon as a Senior Design Engineer. In 2002, he joined Harvard University. His research interests span a variety of topics such as integrated voltage regulators, flexible voltage stacking, power electronics, low-power computing architectures and circuits, auto-parallelizing compilers, and more.




Glenn Holloway : Research Staff

Glenn Holloway

Research Staff



Sae Kyu Lee : Postdoctoral Fellow

Sae Kyu Lee

Postdoctoral Fellow

Saekyu Lee received his B.S in Electrical Engineering from Seoul National University, M.S from The University of Texas at Austin, and Ph.D. from Harvard University. He is currently working on voltage stacking for chip multiprocessors, an alternative method of power delivery to improve system-level energy efficiency.



Paul Whatmough : Research Associate

Paul Whatmough

Research Associate

Dr. Whatmough received the B.Eng. (with 1st class Honors) from Lancaster University, the M.Sc. (with distinction) from Bristol University, and the Ph.D. from University College London, all in the U.K.  In 2005 he joined Philips/NXP Research Labs, U.K., as a Research Scientist in the Wireless Research Group. In 2008, he joined the Silicon Research department at ARM Ltd., U.K.  In 2015, he joined Harvard University.  His research interests in low-power embedded computing span a variety of topics from algorithms down to circuits.


Current Graduate Students

Bob Adolf : Ph.D. Candidate

Bob Adolf

Ph.D. Candidate

Bob studies modeling, analysis, and optimization techniques for high-performance software, with a current focus on deep learning. His philosophy is that the combination of statistical methods, code analysis, and domain knowledge leads to better tools for understanding and building fast systems. Bob earned his B.S. at Northwestern in 2005, spent four years writing performance analysis tools for supercomputers at the DoD, and another three years at PNNL leading research in massively multithreaded architectures and high-performance graph analysis.



Simon Chaput : Ph.D. Candidate

Simon Chaput

Ph.D. Candidate

Simon received a B.Eng. and M.Sc.A. in Electrical Engineering from Université de Sherbrooke, Canada and worked at Teledyne DALSA. His research interests include analog and mixed-signal design and power electronics. More specifically, he is interested in finding new ways to integrate heterogeneous technology at a system level. For instance, design new power converter topology to enable the integration of MEMS actuators in portable applications, thus enabling new functions for these devices.



Udit Gupta : Ph.D Student

Udit Gupta

Ph.D Student

Udit graduated from Cornell University in May 2016 studying Electrical and Computer Engineering. My research interests include making computer systems and hardware systems easier to build by leveraging cross-layer research methodologies.



Thomas (Hsea-Ching) Hsueh : Ph.D. Student

Thomas (Hsea-Ching) Hsueh

Ph.D. Student

Thomas received his Bachelors degree in Electrical Engineering from National Taiwan University in 2015. His current research interest includes hardware accelerator, energy-efficient architecture, machine learning and cognitive neuroscience.



Siming Ma : Ph.D Student

Siming Ma

Ph.D Student

I'm interested in analog and mixed-signal VLSI design, including memory systems and data converters, etc. I also enjoy arts and sports, such as piano, ballet, swimming and skiing.



Lillie Pentecost : Ph.D. Student

Lillie Pentecost

Ph.D. Student

Lillie received her B.A. in Physics and Computer Science from Colgate University in 2016.  Her general research interests are in computer architecture, specialized hardware, and software-hardware co-design, and some of her previous work includes hardware support for dynamically typed languages, simulation and data analysis tools for particle accelerator performance, and fundamental physics experiments with superconducting electronics.



Saketh Rama : Ph.D. Student

Saketh Rama

Ph.D. Student

Saketh received his A.B. in Computer Science from Harvard College. His current research focuses on parallel architectures and algorithms for machine learning and artificial intelligence.



Brandon Reagen : Ph.D. Candidate

Brandon Reagen

Ph.D. Candidate

Brandon received his Bachelors degrees with Summa Cum Laude honors in Computer Systems Engineering and Applied Mathematics from UMass Amherst in 2012. His research interests include hardware accelerator design and modeling, VLSI, HW/SW co-design, CAD, robotics, and cryptography. Currently, he works on the design of Harvard RoboBee brain chip, the Aladdin accelerator simulator, HLS CAD tools, and the MachSuite benchmark.



Yu (Emma) Wang : Ph.D Candidate

Yu (Emma) Wang

Ph.D Candidate

I’m broadly interested in power efficient architectures, machine learning, cognitive science, psychology and arts.



Mark Wilkening : Ph.D. Student

Mark Wilkening

Ph.D. Student

I am a Ph.D. student working on hardware-software co-design of systems software. I graduated in 2016 from Northeastern University with a Bachelors in Electrical and Computer Engineering. My past experience has been mostly in computer architecture and microprocessor reliability. I worked for a number of years while on co-op at AMD Research in reliability as well as in the Northeastern Computer Architecture lab (NUCAR) with David Kaeli. In my spare time I enjoy practicing martial arts and yoga, as well as playing video games.



Sam (Likun) Xi : Ph.D. Candidate

Sam (Likun) Xi

Ph.D. Candidate

I graduated from Duke University in 2013 in Electrical and Computer Engineering and Physics. My research interests include heterogeneous computer systems, hardware accelerators, and automatic parallelization of sequential code. I enjoy investigating questions throughout the hardware-software stack.



Past Students

Mario Lok, Ph.D. 2016
“Power Electronics Design for an Insect Scale, Flapping Wing Robot Using High Voltage Integrated Circuits”
Hardware Engineer, Apple.

Sae Kyu Lee, Ph.D. 2016
“High Efficiency Power Delivery for Chip Multiprocessors Using Voltage Stacking”
Postdoctoral Fellow, Harvard.

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

Hyunkwang Lee, M.S. 2016

Yakun Sophia Shao, Ph.D. 2016
“Design and Modeling of Specialized Architectures”
Research Scientist, NVIDIA.

Kevin Brownell, Ph.D. 2015
“Architectural Implications of Automatic Parallelization with HELIX-RC”
Software Engineer, Google.

Tao Tong, Ph.D. 2015
“Improving SoC power delivery with fully integrated voltage regulators”

Michael Lyons, Ph.D. 2013.
“Toward a hardware accelerated future”
Software Engineer, Dropbox.

Wonyoung Kim, Ph.D. 2013
“Reducing power loss, cost and complexity of soc power delivery using integrated 3-level voltage regulators”
Founder and CEO, Lion Semiconductor.

Judson Porter, M.S. 2012
Software Engineer, Google Inc.

Michael Karpelson, Ph.D. 2012.
Power electronics design for a flapping-wing robotic insect”

Krishna Rangan, Ph.D. 2011.
“Hardware-based thread scheduling for power-efficient and variation-resilient chip multiprocessors”
Intel Corporation.

Ankur Agrawal, Ph.D. 2010.
“Design of high speed I/O interfaces for high performance microprocessors”
Research Staff, IBM Research.

Vijay Janapa Reddi, Ph.D. 2010.
“Software-assisted hardware reliability: Using runtime feedback from hardware and software to enable aggressive timing speculation”
Assistant Professor, University of Texas, Austin.

Meeta Gupta, Ph.D. 2009.
“Variation-aware processor architectures with aggressive operating margins”
Researcher, IBM India Research Labs.

Mark Hempstead, Ph.D. 2009.
“Accelerator-based architectures for wireless sensor network applications”
Assistant Professor, Drexel University.

Benjamin Lee, Ph.D. 2008.
“Statistical inference for efficient microarchitectural analysis”
Assistant Professor, Ph.D. Duke University.

Xiaoyao Liang, Ph.D. 2008.
“From uncertainty to opportunity: Joint architecture and circuit resilience to mitigate the impact of process variations”
Professor, Shanghai Jiaotong University.