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.
CSE researchers present five papers at ISCA 2022
17 U-M researchers proposed a variety of techniques to speed up complex graph algorithms, encrypted cloud computing, memory-intensive matrix operations, and more.
ADA Center holds 2022 symposium
The center’s goal is to streamline and democratize the design and manufacturing of next-generation computing systems.
Siying Feng awarded Rackham Predoctoral Fellowship to accelerate performance of emerging… computer architectures
The fellowship will help support her work to develop acceleration techniques for emerging computer architectures in applications including machine learning, graph analytics, and scientific…