Professors Houman Homayoun and Jeremy Munday assist on a $1 million U.S. Defense Advanced Research Projects Agency for faster, more effecient switchable photonic devices.
Professor Bevan Baas and his team collaborate with a UC Davis engineering alumnus to develop a chip that promises to advance communication and radar systems with its ability to rapidly process radio frequency signals in complex electromagnetic environments.
Electrical and computer engineering faculty from UC Davis are part of Northwest AI Hub, a new center funded by the CHIPS and Science Act to advance semiconductor technologies.
Modeling computers after the human brain — coding in electrical impulses instead of ones and zeroes — promises advanced problem-solving skills and low energy consumption.
The new, UC Davis-developed sensor can detect vibrations a thousand times smaller and movement a hundred times smaller than a strand of human hair. It's also just a stepping stone to an even smaller, more powerful sensor.
Microfabrication is gaining more importance than ever in the US. Electrical and Computer Engineering Professor Erkin Şeker and his lab believe video games may be the answer for training the growing workforce.
Chen explores computational neuroscience and deep unsupervised learning to build simple-to-explain and efficient artificial intelligence models. His goal? To create an AI that can dream.
Professor of Electrical and Computer Engineering Q. Jane Gu has received funding from the National Science Foundation, or NSF, for her sub-terahertz/terahertz dielectric sensors research.
According to researchers, alumni and students in the University of California, Davis, College of Engineering, it's a "sizzling" and an "exhilarating time" to be involved with quantum information sciences.
Photonics, which operate based on particles of light (photons), are increasingly important for applications such as optical communications, connections between electronic and optical networks, and imaging. But silicon, the go-to semiconductor for making electronic chips, is not a great material for photonic applications because it shows poor absorption of near-infrared light compared to other semiconductors such as gallium arsenide.
Electrical and Computer Engineering Professors J. Sebastian Gomez-Diaz and Q. Jane Gu are co-principal investigators on one of six projects to receive funding from the National Science Foundation and the National Science and Technology Council of Taiwan.
The New York Times spoke with Jeremy Munday, a professor in the Department of Electrical and Computer Engineering at UC Davis, to discuss the environmental and ecological impact of a new, ultra-white paint that can reflect 98 percent of sunlight.
Interconnectivity is not only the topic of Professor Q. Jane Gu’s research. It also describes the approach she takes to her collaborative work both at the University of California, Davis and on a national level as a female leader in STEM.
You’re on a long road trip. You’re enjoying your favorite tunes as your self-driving car moves you down the road. Then suddenly, a driver going in the other direction swerves into oncoming traffic right at you. Will the artificial intelligence, or AI, in the car have enough time to react and save you from a head-on crash?
