Professor Chen-Nee Chuah leads AI/ML efforts within a multidisciplinary team that has received a $6 million grant from the National Institute on Aging to deepen the understanding of the neuropathologic landscape of Alzheimer’s disease, focusing on individuals who identify as Hispanic/Latino.
Researchers in the UC Davis Department of Electrical and Computer Engineering offer insights on devices that operate like solar cells in reverse and can generate power even in the absence of sunlight, offering an alternative route for energy production.
S. J. Ben Yoo, a professor of electrical and computer engineering at the University of California, Davis, leads a project to address large-scale issues in artificial intelligence at the chip scale.
Researchers at UC Davis have developed a new microscope to capture high-speed images of brain cell activity with less harm to brain tissue. The new approach could be used in research with mice to provide a clearer view of how neurons communicate in real time, leading to new insights into brain function and neurological diseases.
Autonomous vehicles can struggle when confronted with unforeseen events, such as a car driving on the wrong side of the road. To address this issue, Professor Junshan Zhang is rethinking how researchers design AVs by letting the machine learning models train themselves.
Assistant Professor of Electrical and Computer Engineering Hyoyoung Jeong explores the use of wireless wearable devices for health monitoring. Jeong believes the technology can offer a more practical and economical option for health management compared to current hospital-bound machinery.
Researchers in the Department of Electrical and Computer Engineering are pushing the possibilities of artificial intelligence. They’re exploring the furthest limits of neural network design and are creating next-generation advancements in medicine that are transforming patient care.
Professor Jeremy Munday is part of a College of Engineering project to make around-the-clock solar energy a reality with a novel thermophotovoltaic device.
Researchers at the University of California, Davis, are taking the phrase “follow your gut” to a whole new level: They’re creating microfluidic technology that can map out and probe the neural pathways that form the gut-brain axis for the first time.
When it comes to innovating within applied electromagnetics, Assistant Professor William "Billy" Putnam has found that the best way to move forward is to look toward the past.
Artificial intelligence models can now build and train new models with minimal human intervention thanks to a collaborative project spearheaded by Silicon Valley-based startup Aizip and its co-founder Yubei Chen, an assistant professor at the University of California, Davis.
The UC Davis Center for Nano-MicroManufacturing is among two centers and two labs led by electrical and computer engineering faculty that are crucial to the $15M U.S. CHIPS and Science Act partnership to advance semiconductor technologies for AI.
When you go to your physician's office for a checkup, you expect a doctor to use a stethoscope to monitor your breathing or heartbeat. Instead, what if you wore miniature devices on your skin that tracked these subtle sounds and, in turn, your health?
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.
