Latest News

Hao Chen and Vladimir Filkov named ACM Distinguished Members

January 04, 2021

Computer science professors Hao Chen and Vladimir Filkov were named Distinguished Members of the Association for Computing Machinery (ACM) for their outstanding scientific contributions to the field of computing. Distinguished membership recognizes the top 10% of ACM members with at least 15 years of experience as role models who have gone above and beyond in their service to the field through research, teaching, leadership and/or service.

Dipak Ghosal named Prem Chand Jain Family Presidential Chair for Innovation and Entrepreneurship

November 20, 2020

Computer science professor Dipak Ghosal has been named the inaugural Prem Chand Jain Family Presidential Chair for Innovation and Entrepreneurship. This new role will provide an opportunity for graduate students within the College of Engineering to expand their entrepreneurial mindset by providing resources to implement their innovative ideas.

Ph.D. student Sung Kook Kim wins Young Researcher Best Paper Award

November 19, 2020
Sung Kook Kim, a third-year Ph.D. student in the Computer Science department advised by assistant professor Aditya Thakur, was awarded the Radhia Cousot Young Researcher Best Paper Award at the 27th Static Analysis Symposium (SAS 2020) for his paper, "Memory-Efficient Fixpoint Computation."

Nina Amenta wins Test of Time Award for paper on computer analysis of real-world objects

November 17, 2020

Computer science professor Nina Amenta has received a test-of-time award from the peer-reviewed journal Computational Geometry: Theory and Applications for her 2001 paper, “The power crust, union of balls, and the medial axis transformation.” The award honors papers published in the journal that are at least 10 years old and have left a legacy on the field of computational geometry. She and her co-authors will receive certificates and a cash prize, split among them. 

Securing Electronic Voting

October 30, 2020

As Election Day approaches, keeping the voting booth safe is as important as ever. For UC Davis’ Matt Bishop, 2020 is just another year of work to keep electronic voting safe. As a cybersecurity expert and professor of computer science, Bishop helps election officials vet electronic voting systems and the electoral process they’re a part of to find and fix as many security issues as they can to make elections as secure as possible.

Computer Science Students Tackle COVID-19 at Berkeley Lab

October 27, 2020
As a part of the Computational Research Division’s (CRD) summer student program at Lawrence Berkeley National Laboratory, four graduate students from UC Davis researched a method that could allow doctors and researchers to leverage valuable health information in the battle against COVID-19 while also preserving patient privacy in COVID-19-related electronic health records.

Ph.D. Student Likang Yin wins Distinguished Paper Award

September 28, 2020
Likang Yin, a Ph.D. student in the DECAL Lab working with computer science professor Vladimir Filkov, has won a distinguished paper award from the Association for Computing Machinery’s Special Interest Group on Software Engineering (ACM/SIGSOFT). Yin received the award at the 35th annual Institute of Electrical and Electronics Engineers (IEEE)/ACM International Conference Automated Software Engineering, one of the top conferences in software engineering.

Aditya Thakur Receives 2020 Facebook Probability and Programming Research Award

September 21, 2020

For the second year in a row, CS assistant professor Aditya Thakur is the winner of a Facebook Probability and Programming Research Award. The award, established in 2019, seek proposals from the worldwide computer science community that address problems at the intersection of machine learning, programming languages, statistics and software engineering. Thakur’s proposal was one of 19 selected.

Using AI to treat teenagers with schizophrenia

September 11, 2020
Computer science professor Ian Davidson will bring expertise in explainable artificial intelligence (XAI) and deep learning (DL) to a new National Institute of Health (NIH)-funded project to treat teenagers with schizophrenia. The five-year, $3.4 million project funds trials using AI to prescribe treatments for each patient based off medical images of their brains.