Computer Engineering Laboratory
The Computer Engineering Lab at the University of Michigan is the top US institution for total publications in top-tier architecture, circuit, and computer-aided design conferences (ISCA, MICRO, ISSCC, VLSI, DAC, DATE)
Welcome to the CE Lab
The Computer Engineering Lab at the University of Michigan is comprised of a multidisciplinary group of faculty and graduate students who conduct research related to hardware design, computer architecture, computer-aided design, and embedded systems.
Meet the people who make up the CE Lab >
Prospective graduate students
Lab members explore theoretical, experimental and applied aspects of computer design, spanning a broad range of hardware topics, including embedded systems design, hardware security issues, computer architecture and data centers architecture, computer-aided design, testing and validation. The research breadth also encompasses software layers close to hardware: operating systems and compilers.
Visit our prospective student page on the CSE website >
Energy efficiency in self-driving cars
PhD student Vidushi Goyal is working with Prof. Reetuparna Das to make electronics more energy efficient in personal devices and in autonomous vehicles.
Sonic Cyber Attacks on MEMS Accelerometers
PhD student Timothy Trippel is working with Prof. Kevin Fu to demonstrate how specially crafted sounds can be used to launch acoustic injection attacks against the sensors in many IoT devices.
There are no events currently scheduled.
Tim Dunn selected for NSF Graduate Research Fellowship
Through his work, Tim hopes to dramatically accelerate genomic sequencing analysis, enabling the use of handheld genomic sequencers to produce actionable diagnostic data within minutes.
CSE doctoral student Subhankar Pal receives Rackham Predoctoral Fellowship
The fellowship will advance his research on exploiting hardware reconfigurability in an effort to bridge the gap between programmability and efficiency that affects modern computing systems.
CSE researchers win best paper award at HPCA 2021
The paper introduces new hardware and software design principles to improve the performance of several important large-scale irregular workloads.