Engineers are problem solvers. At UCLA, we have not shied away from challenges presented by COVID. Our computer scientists and engineers have been collaborating with colleagues at the David Geffen School of Medicine and UCLA Health to develop urgently needed personal protective equipment, cutting-edge testing methods, predictive models adopted by the CDC, and vaccine boosters. And there are numerous creative efforts by students and alumni as well.
Following are highlights of UCLA Samueli COVID-related research projects and press coverage:
At a time when misinformation spreads unchecked in an echo chamber of social media, UCLA Samueli School of Engineering Computer Science Prof. Vwani Roychowdhury unpacks conspiracy theories on Spectrum News 1 SoCal
UCLA engineers and scientists have demonstrated that treatments with near-room-temperature, cold atmospheric plasma can kill the coronavirus present on a variety of surfaces in as little as 30 seconds.
The U.S. Food and Drug Administration has granted emergency use authorization for scientists at UCLA Health to begin using a new method of COVID-19 detection using sequencing technology called SwabSeq.
Researchers from UCLA and China have found that catalase, a naturally occurring enzyme, holds potential as a low-cost therapeutic drug to treat COVID-19 symptoms and suppress the replication of coronavirus inside the body.
Researchers at UCLA have developed a web-app to help hospitals better predict needed resources for patients infected with the coronavirus.
“I should have started my own business years ago,” said Mike Raymond (’07), a mechanical engineering alum who spent more than a decade in management consulting and corporate development before starting Color Clean Soap earlier this year.
If physical-distancing measures in the United States are relaxed while there is still no COVID-19 vaccine or treatment and when personal protective equipment remains in short supply, the number of resulting infections could be about the same as if distancing had never been implemented to begin with, according to a UCLA-led team of mathematicians and scientists.
UCLA research uses artificial intelligence to analyze differences between a true story and a completely fabricated one.
A research team led by Pirouz Kavehpour, professor of mechanical and aerospace engineering in the UCLA Samueli School of Engineering, is developing an inexpensive and fast breathalyzer-like diagnostic tool to test for the novel coronavirus that causes COVID-19.
Anatomy of a Vaccine | UCLA Newsroom | 11.20.2020