- Fire Oracle, one of the projects developed at the Reboot the Earth hackathon hosted by the United Nations and the UC Santa Cruz Baskin School of Engineering, uses machine learning to accelerate prescribed burn planning.
- Using lab-grown brain organoids, scientists from the University of California, Santa Cruz led by Assistant Professor of Biomolecular Engineering Tal Sharf found that neurons begin firing in recognizable, information-like patterns long before any sensory system is active. Additional coverage in StudyFinds and The Debrief.
- A multidisciplinary research team led by Marco Rolandi, professor of electrical and computer engineering, developed a smart bandage that could speed up wound healing by actively tracking and responding to the healing process.
- The Santa Cruz Sentinel highlighted work by Professor of Computer Science and Engineering Alex Pang and graduate student Mona Zhao to use webcams, machine learning, and 3D modeling to track how beaches shift from day to day.
- The Scientist featured work led by Professor of Biomolecular Engineering Rebecca DuBois to study how human astroviruses bind to human cells at a molecular level, which could inform new preventive and therapeutic strategies.
- KSBW featured work developed in Professor of Computer Science and Engineering Katia Obraczka’s lab that uses WiFi to wirelessly monitor heart rate.
- Lab-grown brains don’t have to inspire horror.
- Professor of Biomolecular Engineering Benedict Paten spoke about new methods developed to find elusive DNA mutations that occur only in tumor cells.
- Prosecutors contracted the company Astrea Forensics, a forensic genetic genealogy company co-founded by Professor of Biomolecular Engineering Richard “Ed” Green, who developed the methods used in this case. The technology cleared a ‘Frye hearing’, proving that it has been accepted by the scientific community and opening the door for the use of this DNA evidence […]
- KSBW features a-Heal, a wound-healing device developed by Professor of Electrical and Computer Engineering Marco Rolandi, Associate Professor of Electrical and Computer Engineering Mircea Teodorescu, Associate Professor of Applied Mathematics Marcella Gomez and collaborators at UC Davis.
