Research

ECE Professor Houman Homayoun and CS Professor Matt Bishop Receive the 2021 Dean’s Collaborative Research Award

Cyber security is a worldwide concern. Our systems, infrastructure, and indeed our society rely on it. Many places study the security of systems in general, of software, and of the policies and procedures supporting them. But the security and assurance of hardware is much less studied. As our infrastructure and systems rely on commercial off-the-shelf (COTS) equipment, the security and assurance of hardware is integral to our systems, infrastructure, and society.

A Guide for Learning from YouTube

Whether it’s coding, cooking or calculus, more people are using YouTube and other video sharing websites to learn new things. Computer science Ph.D. student Jingxian Liao, part of associate professor Hao-Chuan Wang’s group, is trying to make this experience better and easier by creating a structured learning experience from a list of video search results.

Artificial Intelligence: Can We Trust Machines to Make Fair Decisions?

Artificial Intelligence touches almost every aspect of our lives, from mobile banking and online shopping to social media and real-time traffic maps. But what happens when artificial intelligence is biased? What if it makes mistakes on important decisions — from who gets a job interview or a mortgage to who gets arrested and how much time they ultimately serve for a crime?

Securing Electronic Voting

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.

Aditya Thakur Receives 2020 Facebook Probability and Programming Research Award

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

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.

Solving credit card fraud

Computer science associate professor Sam King thinks he has a solution to credit card fraud. Using his experiences in Silicon Valley and his research at UC Davis, King has developed a new, secure app called Card Scan that uses machine learning to read credit cards in seconds and reject fraudulent cards, transactions and phones.

AI for Social Media Headline Editing

Any social media professional will tell you the headline is one of the most important parts of any post, because without an attention-grabbing title, readers are likely to scroll past your stories in favor of something else. Though large organizations have professional social media editors, smaller companies and individual content creators don’t have the money to compete with larger outlets.

CS Team Selected for Oral Presentation at the 2019 IEEE CVPR Conference

The paper, authored by Ph.D. student Krishna Kumar Singh, visiting researcher Utkarsh Ojha and assistant professor Yong Jae Lee, describes an algorithm the team developed that was able to identify, disentangle and layer different parts of generated images by associating random codes with different parts of the image.