Directory
Limin Jia received her B.E. in computer science and engineering from the University of Science and Technology of China and her Ph.D. in computer science from Princeton University. Her research interests include language-based security, programming languages, logic, and program verification. Her research focuses on formal aspects of security. She is particularly interested in applying language-based security techniques and formal logic to model and verify security properties of software systems.
Office
2216 Collaborative Innovation Center
Phone
412.268.4605
Email
liminjia@andrew.cmu.edu
Google Scholar
Limin Jia
Websites
Limin Jia's website

Education

Ph.D., Computer Science, Princeton University

BE, Computer Science and Engineering, University of Science and Technology

Affiliations

Media mentions


CMU Engineering

First round of Secure and Private IoT Initiative funded projects announced

CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has broken ground as the first round of funded proposals have been announced. Twelve selected projects will be funded for one year, and results will be presented at the IoT@CyLab annual summit next year.

CMU

Leaders in cybersecurity gather at CMU for WiCyS Conference

More than 1,200 women, including many College of Engineering faculty and alumnae, gathered from March 28-30 for the Carnegie Mellon’s Women in Cybersecurity (WiCyS) Conference.

CMU Engineering

Reducing complexity to increase security

Carnegie Mellon University team receives $7.5M ONR grant for software complexity reduction, or simplifying complex internet protocols to build greater security.

CMU Engineering

CyLab team develops promising tool to help prevent cross-site scripting (XSS) attacks

Right now, go to Google.com, search for something (anything) and then look at the search results’ URL. It’s a jumbled mess of numbers, letters, and characters, right? That mess of characters is coordinating the creation of the webpage, displaying a customized list of results based on what you searched for.

CMU Engineering

Making the Internet of Things smarter than its attackers

A team of CyLab researchers analyzed nearly 20,000 IFTTT applets and found that half of them were potentially unsafe.