Shiyi Wei

Ph.D. - Computer Science
Virginia Tech - 2015

B.E. - Software Engineering
Shanghai Jiao Tong University - 2009

ESEC/FSE Distinguisher Reviewer Award - ACM [2023]

USENIX Security ’22 Distinguished Paper Award - USENIX [2022]

CAREER Award - National Science Foundation [2021]

Annual Best Scientific Cybersecurity Paper Competition Winner - National Security Agency [2019]

UT Dallas Researchers Unveil New Cybersecurity Defenses At USENIX

In August 2022, the USENIX Security Symposium published groundbreaking cybersecurity research papers by two UT Dallas computer science professors, Dr. Shiyi Wei and Dr. Kangkook Jee.  Wei’s paper additionally received the symposium’s Distinguished Paper Award, identifying his work as one of the top cybersecurity discoveries of the year.

Computer Scientist Gets Grant To Strengthen Software Protection

Like thieves looking for unlocked doors or windows, cybercriminals search for mistakes in software code that could allow them to break into computer networks to steal private data or launch attacks.

Dr. Shiyi Wei, assistant professor of computer science at The University of Texas at Dallas Erik Jonsson School of Engineering and Computer Science, develops tools to prevent cyberattacks by finding and fixing coding errors before the software is deployed.

Most recently, Wei received a five-year, $458,849 National Science Foundation Faculty Early Career Development Program (CAREER) award to improve static analysis, a tool that examines software for flaws that create security vulnerabilities.

Team’s New Tool Advances the Art of Busting Hidden Software Bugs

One of the biggest challenges to fixing software bugs can be finding them.

With support from the National Science Foundation, computer scientists at The University of Texas at Dallas are going after some of the hardest-to-find errors, called variability bugs, which appear only when software is configured to work with certain hardware.

The researchers presented a framework they developed to detect variability bugs at the recent Association for Computing Machinery (ACM) Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering in Estonia. Variability bugs cannot typically be detected using off-the-shelf software analysis tools, said Dr. Shiyi Wei, assistant professor of computer science in the Erik Jonsson School of Engineering and Computer Science.