Research in analog integrated circuits includes low-power and high-precision sensor and actuator interface circuits, telecommunication and RF circuits, wireless telemetry, and high-speed analog-digital converters.
Research in Very-large-scale integration (VLSI) digital circuits includes microprocessor and mixed signal (microcontroller) circuits, with emphasis on low-power and high-performance; computer-aided design, including logic synthesis, physical design, and design verification; testing and design for testability; advanced logic families and packaging; integrated circuit micro-architectures; and system integration.
Specialties
- Analog Circuits
- Data converters
- Digital circuits
- Energy harvesting
- Hardware DSP implementation
- Low power circuits
- RF circuits
- Sensing systems
ECE Faculty
Ehsan Afshari
WebsiteHigh frequency circuits and systems for imaging, bio-sensing, and high data rate communication.David T. Blaauw
WebsiteLow power and high performance VLSI design; Low power wireless sensors and embedded systems.Jiasi Chen
WebsiteComputer networks, mobile computing, multimedia systems, augmented/virtual reality.Michael P. Flynn
WebsiteAnalog circuits, analog-to-digital conversion, RF and wireless circuits. high-speed serial transceivers.Gyouho Kim
System-level design and integration of ultra-low power ICs in the context of next generation IoT wireless sensors.Hun-Seok Kim
WebsiteDigital communication algorithm and systems; Ultra low power / ultra high performance VLSI SoC architecture; Computer vision and multimedia signal processing.Mark J. Kushner
WebsiteComputational plasma science and engineering with applications to materials processing, microelectronics, photonics and lasers, biotechnology and medicine, and environment.Amir Mortazawi
WebsiteRF and microwave circuits including: microwave and millimeter-wave power amplifiers, spatial power combining and thin film ferroelectric based frequency agile circuits.Khalil Najafi
WebsiteSolid-state integrated sensors, Microactuators, Micromechanics, Analog and digital integrated circuitsMehdi Saligane
WebsiteBio Sensors, Edge AI Acceleration, Hardware & Software co-design, Hardware Security, Nanofabrication, Sensors.Dennis Sylvester
WebsiteMentoring PlanLow power integrated circuit design, computer-aided design for VLSIWei Tang
Multi-chiplet system design, algorithm, architecture, and implementations for MIMO communication, FEC, machine learning, and signal processing systems.David D. Wentzloff
WebsiteRF circuits and systems; highly integrated energy- and volume-constrained wireless systems.Euisik Yoon
WebsiteIntegrated circuits and microsystems; BioMEMS and lab-on-chips; implantable biomedical sensors; low-power mixed-mode circuits.Pei Zhang
Website“Structures as Sensors,” which utilizes the physical properties of devices and structures (e.g. cars, buildings, rooms) as a sensor to discover physical information that surrounds them (e.g. people, roads, animals).Zhengya Zhang
WebsiteVLSI architecture, digital systems, implementations of communication and signal processing systems.Junyi Zhu
WebsiteCSE Faculty
Ronald Dreslinski
WebsiteMentoring PlanNovel architectures and design technologies for energy-efficient computing, including near-threshold computer design and experimental 3D computer chips.Enabling stroke victims to “speak”: $19M toward brain implants to be built at U-M
Stroke victims may regain the ability to read, write and speak with the help of technology developed by David Blaauw and Cindy Chestek.U-M awarded up to $7.5M to bring heat-tolerant semiconductors from lab to fab
Open-source effort led by Prof. Becky Peterson supports durable silicon carbide circuits that can operate at record high temperatures.Solving computationally complex problems with Ising machines
A team led by Prof. Pinaki Mazumder is designing quantum-inspired architectures from silicon to solve difficult problems more efficiently than previously possible.Boosting AI model size and training speed with lightwave-connected chips
AI growth is capped by data transfer rates between computing chips, but transferring data with light could remove the ceiling.Developing StiMote, a wireless neural stimulator for restoring vision
The highly collaborative project will leverage many tiny sensing computers, called “motes,” to communicate with the visual cortex of the brain.ECE faculty design chips for efficient and accessible AI
Faculty specializing in architecture, hardware, and software innovation accelerate machine learning across a range of applications.ECE startup MemryX releases MX3 Edge AI Accelerator
MemryX has announced production availability of a new AI chip, enabled by U-M ECE research.Hun-Seok Kim appointed as inaugural Samuel H. Fuller Early Career Professor of Electrical and Computer Engineering
Prof. Kim is a world leader in efficient algorithm and VLSI design for wireless communication, signal processing, computer vision, and machine learning.University of Michigan team partners with Semiwise to tackle cryogenic control electronics technology
Prof. Dennis Sylvester and PhD student Qirui Zhang are working with UK-based company Semiwise Ltd. to design cryogenic circuitry and improve the efficiency of quantum computing.Joseph Costello awarded Rackham Predoc to support research on brain-machine interfaces
Costello is working to restore mobility to individuals by developing improved brain-machine interfaces.Augmented reality system for accessible play, iGYM, goes international
Using iGYM’s computer vision module, the U-M team partnered with the University of Tsukuba’s FUTUREGYM Team to develop new interactive games that allow children of all abilities to play together.U-Michigan a partner in two CHIPS Act Midwest microelectronics hubs
The latest DoD funding announcements bolster Michigan Engineering’s efforts to support revitalization of the U.S. semiconductor sector.Kyumin Kwon’s research on automating analog circuit design earns Best Paper Award at SMACD23
Kwon combines a human knowledge-based model with an existing digital synthesis tool to significantly increase the speed of characterization and design for large scale analog circuits.Six ECE faculty will help shape the future of semiconductors as part of the JUMP 2.0 program
Elaheh Ahmadi, David Blaauw, Michael Flynn, Hun-Seok Kim, Hessam Mahdavifar, and Zhengya Zhang bring their expertise and creativity to this nationwide undertaking in the area of semiconductors and information & communication technologies.Open-source hardware: a growing movement to democratize IC design
Dr. Mehdi Saligane, a leader in the open-source chip design community, was among the first researchers to fabricate a successful chip as part of Google’s multi-project wafer program.Best paper for a low-power ADC circuit for brain-machine interface applications
Euisik Yoon’s team, led by Sungjin Oh, developed a low-power neural recording front-end circuit to interface with state-of-the-art neural probes.Mike Flynn named Fawwaz T. Ulaby Collegiate Professor of Electrical and Computer Engineering
Flynn is one of the world’s premier scholars of analog and mixed-signal integrated circuits and systems, analog-to-digital conversion (ADC), and other interface circuits.David Blaauw inducted into MICRO Hall of Fame
Prof. Blaauw and his group are also recipients of numerous best paper awards and honors, including the MICRO Test of Time awardCHIPS and Science Act: Implications and Opportunities
The CHIPS and Science Act of 2022 promises to revitalize the U.S. semiconductor industry. Dennis Sylvester offers his perspective on what it means for ECE.The ethical implications of tech, and why it matters for engineers
Through the Ford School’s Science, Technology, and Public Policy Program, ECE PhD student Trevor Odelberg is studying how engineers can take better responsibility for the way their research impacts society.Batteryless next-generation cellular devices could empower a more sustainable future
PhD student Trevor Odelberg is looking to enable long range, highly reliable, and low-power cellular IoT devices that one day can run entirely on harvested energy, reducing battery waste and empowering devices to last for decades.Snails carrying the world’s smallest computer help solve mass extinction survivor mystery
Research to advance low-power speech recognition highlighted by Intel
Michael Flynn and his group are applying their groundbreaking work in beamforming to the challenge of low-power on-chip speech recognition.First digital single-chip millimeter-wave beamformer will exploit 5G capabilities
Tracking Monarch Butterfly Migration with the World’s Smallest Computer
U-M startup SkyGig aims to take 5G to the next level
Trevor Odelberg receives NDSEG Fellowship to help run the world with low power batteryless circuits
Matthew Belz receives NDSEG Fellowship to improve the safety of autonomous systems
Battery-free sensor startup takes aim at industrial efficiency
“Ultra low-power receivers for IoT applications” wins Outstanding Invited Paper
Best paper award for optimizing wireless power transfer
David Blaauw named Kensall D. Wise Collegiate Professor of Electrical Engineering and Computer Science
Upgrading signal interfaces for better wearable devices
Hun-Seok Kim receives CAREER Award to facilitate Internet of Things connectivity
Two ‘U’ researchers receive Distinguished University Innovator Award
The Michigan Daily profiles Professors David Blaauw and Dennis Sylvester, who are this year’s recipients of the 2019 Distinguished University Innovator Award.Blaauw, Sylvester are 2019 Distinguished University Innovators
First programmable memristor computer aims to bring AI processing down from the cloud
Afshari group receives Best Invited Paper award at the 2019 IEEE Custom Integrated Circuits Conference
A high-efficiency GaAs solar cell to power the Internet of Tiny Things
SLAM-ming good hardware for drone navigation
U-M startup raises $6 million in venture funding
Communicating with the world’s smallest computers
Crafting better digital systems with ECE PhD student Jie-Fang Zhang
Michigan chips will be first to test next-generation hardware design tools
A new hybrid chip that can change its own wiring
Enabling anyone to design hardware with a new open-source tool
Hun-Seok Kim receives DARPA Young Faculty Award to advance research in IoT networks
An even smaller world’s smallest ‘computer’
Seed-sized U-M computers pumped into oil wells featured at the Houston Museum of Natural Science
Fred Buhler builds better chips for “Aweslome” applications
2017 ISCA Influential Paper Award for groundbreaking research in power-efficient computing
Michigan’s millimeter-scale computers featured at ISSCC2017, and in IEEE Spectrum
CubeWorks: Solving problems with the world’s smallest and lowest-power computers
Cubeworks receives its first external funding to manufacture millimeter-scale computing devicesAlum startup wins $25,000 at Accelerate Michigan Competition
Injectable computers can broadcast from inside the body
Injectable computers
Avish Kosari selected as Barbour Scholar for Research in low-power devices for the Internet of Things
Googling the physical world
Claude Gauthier and OmniPhy: Connecting to the ethernet revolution
3 ECE companies make the Silicon 60 List – again!
David Wentzloff receives Joel and Ruth Spira Excellence in Teaching Award
Thomas Chen earns NSF Graduate Research Fellowship for research in artificial neural networks for computer vision
Elnaz Ansari earns Towner Prize for Distinguished Academic Achievement
Michigan Micro Mote (M3) makes history as the world’s smallest computer
A brief history of what led to the technical feat known as the Michigan Micro Mote, a tiny speck of a computer that does it all.Michael Flynn elected IEEE Fellow for contributions to analog-digital interfaces
Lynn Conway Receives 2015 IEEE/RSE James Clerk Maxwell Medal
The James Clerk Maxwell Medal is one of the highest awards presented by IEEE.Leaders in ultra low power cicuits and systems presenting at VLSI Circuits Symposium
Thank Lynn Conway for your cell phone
Student Spotlight: Nathan Roberts – Enabling the Internet of Things
PsiKick startup attracts financing for its Internet of Things technology
Muhammad Faisal wins business competition with technology critical to the Internet of Things
Making the Internet of Things happen
Image processing 1,000 times faster is goal of new $5M contract
Zhengya Zhang receives Intel Early Career Award
2013 Design Automation Conference Anniversary Awards
Bharan Giridhar awarded Rackham Predoctoral Fellowship for research in circuit techniques for adaptive, reliable, high-performance computing
David Blaauw and Dennis Sylvester named Top Authors by ISSCC
David Wentzloff receives CAREER Award for research in energy-autonomous systems
Nathan Roberts earns Best Paper Award for research to assist in remote patient monitoring
Developing the wireless component for personalized health devices
UG Research Spotlight: Fred Buhler spends his summer improving circuit testing
Student teams earn prizes for their analog/digital interface circuit designs in EECS 511
Michael McCorquodale named 2012 UBM Electronics ACE Innovator of the Year
David Blaauw Elected Fellow of the IEEE
Prof. Blaauw was a core member of the Michigan team that developed the award-winning circuit known as Razor in 2003.Laura Freyman awarded NSF Graduate Research Fellowship
Powering breakthrough technologies
Toward computers that fit on a pen tip: New technologies usher in the millimeter-scale computing era
Three EECS Teams are winners in 2011 DAC/ISSCC Student Design Contest
Zhengya Zhang receives NSF CAREER Award
Paving the way for ubiquitous computing
Dennis Sylvester elected Fellow of the IEEE
Meeting the challenges for low-power System-on-Chip (SoC) Design
Zhengya Zhang earns Best Paper Award at Symposium on VLSI Circuits
Ambiq Micro: Taking a startup to the next level
Millimeter-scale, energy-harvesting sensor system developed
EECS professors receive research grants from Google
David Wentzloff awarded Young Faculty Award (YFA) by DARPA
Sensing Sensors: NSF Funding News Ways to Monitor Infrastructure for Safety
The program aims to develop revolutionary wireless sensor node, optimized for infrastructure monitoring.EECS researchers receive Best Paper Award at ISLPED
Microchip sets low-power record with extreme sleep mode
The Phoenix Processor uses 30,000 times less power in sleep mode and 10 times less in active mode than comparable chips now on the market.