Electrical and computer engineering

Building a Better Battery

The humble battery: a device most people rarely think about until the phone runs low, the car won’t start, or the smoke detector beeps in the middle of the night. While they may take a back seat in our interactions with the devices they power, batteries are a critical factor in advancing technological innovation. 

EcoCAR EV Challenge

Over the next four years, UC Davis students will be designing the car of the future as part of the EcoCAR Electric Vehicle (EV) Challenge. The competition challenges students to convert a Cadillac LYRIQ EV into an autonomous, next-generation battery-electric vehicle with vehicle-to everything connectivity so it can interact with devices and the environment.

Meet Our New Faculty

The UC Davis College of Engineering welcomed six new faculty members to campus this fall, for a total of nine in 2022. Their arrival strengthens the college’s expertise in teaching and research in aerodynamics, bioinstrumentation, molecular dynamics, public transportation and bio-integrated electronics.

Club Spotlight: Quantum Computing at Davis

Quantum Computing at Davis (QCD) is a student research group that aims to educate undergraduate and graduate students in quantum information sciences by providing them with hands-on projects and workshops. They foster the quantum community at UC Davis through collaborations between faculty and students and facilitating the transition from top-quality coursework to publishable work. 

GraphBLAST Targets GPU Graph Analytics Performance Issues

“GraphBLAST” – developed by researchers from Lawrence Berkeley National Laboratory and UC Davis – further enhances the performance of GraphBLAS, a popular collection of graph algorithm building blocks, by overcoming design and performance challenges specific to GPU processors.

Lensless Camera Creates 3D Images From Single Exposure

Researchers at the UC Davis College of Engineering have developed a camera that uses a thin microlens array and new image processing algorithms to capture three dimensional information about objects in a scene with a single exposure. The camera could be useful for a variety of applications such as industrial part inspection, gesture recognition and collecting data for 3D display systems.

Improving Agricultural Production by Slowing Down the Speed of Light

An interdisciplinary team of researchers led by Professor Saif Islam from the Department of Electrical and Computer Engineering will be forging a new partnership with Lawrence Berkeley National Laboratories to create innovative, fluorescence lifetime imaging—a process currently used in the medical field—for improving agricultural practices.