Cross-disciplinary research

Horsing around with Music

Though animals respond well to music, humans are usually the ones that choose it. To help change this, a senior design team in the Department of Biological and Agricultural Engineering (BAE) developed a device that lets horses choose which music they want to listen to.

Good AI vs. Bad AI

Online life has become increasingly mediated by Artificial Intelligence (AI). Nearly 70% of all videos watched on YouTube are recommended by its AI algorithm, and that number is even higher on social media services like Instagram and TikTok. Though these AI algorithms can help users find content that’s interesting to them, they raise serious privacy concerns and there is growing evidence that people are being radicalized by some of the recommended content they consume online.

An Earth Shattering Shift

Katerina Ziotopoulou, M.S. '10, Ph.D. '14 is consumed with the shifting of the world - both professionally and personally. As an associate professor in the Department of Civil and Environmental Engineering, Ziotopoulou’s work is focused on developing tools to improve the way we gather data about and understand soil behaviors and the resilience of soil-structure systems during earthquakes.

Making Prosthetics More Lifelike

Mechanical and Aerospace Engineering Assistant Professor Jonathon Schofield is part of a team of engineers, scientists and surgeons at UC Davis working to make life easier for amputees through a combination of surgery, advanced machine learning and smart prosthetics.

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. 

Research in Action: Weijian Yang Advances Optical Methods and Neurotechnologies

Electrical and Computer Engineering Assistant Professor Weijian Yang’s goal is to decode how the brain works in various processes, such as learning and memory formation, through the development of advanced optical methods and neurotechnologies to record and modulate brain activity. Additional interdisciplinary research has applications in biomedical imaging and smart health.

Can Medical Records Help Teams of Doctors Treat Patients Better?

Doctors already rely on a patient’s medical history to prescribe the right treatments and medications, but Computer Science Distinguished Professor Kwan-Liu Ma and Dr. Shin-Ping Tu at the UC Davis School of Medicine think they can also use it to improve how the entire medical system works together.