CS undergraduate Matthew Sotoudeh wins silver medal in POPL student research competition

March 02, 2020

Third-year computer science undergraduate Matthew Sotoudeh placed second in an undergraduate student research competition at the 2020 International Symposium on Principles of Programming Language (POPL). Sotoudeh, part of assistant professor Aditya Thakur’s lab, presented his poster and gave an oral presentation at the top programming languages conference from January 19-25 in New Orleans.

Developing an App to Connect Women in Computer Science

October 21, 2019
A team of undergraduate students at UC Davis are working to create a mobile app for women in computer science to connect with one another and nurture a sense of belonging to overcome academic and social adversity.

In Memoriam: Antara Bhowmick

October 01, 2019
The UC Davis College of Engineering and Department of Computer Science mourn the loss of alumna Antara Bhowmick ‘19, who passed away in an accident on September 25.

Going for a Hike in Stebbins Cold Canyon? There’s an App for That!

August 20, 2019
A group of UC Davis students has created an iPhone app that allows visitors to the Stebbins Cold Canyon trail to view wildlife guides, maps and safety information to enhance their enjoyment of the trail. This is one of the first apps in the country for a natural reserve or field station and it is available for free in the Apple App Store.

UC Davis Wins Amazon’s 2018 Alexa Artificial Intelligence Challenge

November 27, 2018
UC Davis Team Gunrock won the global 2018 Amazon Alexa Prize for creating the best conversational chatbot and advancing modern artificial intelligence. The announcement of this $500,000 prize was made yesterday at the annual Amazon Web Services re:Invent conference in Las Vegas.

Ph.D. student Gregory Rehm awarded NIH F31 Fellowship

November 06, 2018

Ph.D. student Gregory Rehm, co-supervised by ECE Professor Chen-Nee Chuah and Professor Jason Adams from UCD School of Medicine, has been awarded the NIH F31 Fellowship Grant to pursue his Ph.D. degree in Computer Science at UC Davis. Greg’s dissertation research will focus on developing a machine learning model for improving accuracy and timeliness of Acute Respiratory Distress Syndrome (ARDS) diagnosis, and enable early prediction of clinical deterioration in ARDS patients.