Contact Me

Please direct all correspondence to my email address on my home page, or by filling out this contact form. Thank you!

4400 University Drive MSN 4A5
Fairfax, VA, 22030
USA

Kevin Moran is an Assistant Professor in the Department of Computer Science at the University of Central Florida where he is also affiliated with the Cyber Security and Privacy Cluster (CyberSP) and directs the SAGE Research Lab. He was previously an Assistant Professor at George Mason University from 2020-2023. He graduated with his B.A. in Physics with a Computer Science Minor from the College of the Holy Cross in 2013. He graduated with his M.S. in Computer Science from William & Mary in 2015, and his Ph.D. in Computer Science from William & Mary in 2018, advised by Dr. Denys Poshyvanyk. His main research interests include software engineering, security, maintenance, and evolution with a focus on mobile platforms. Additionally, he explores applications of machine learning to data mined from software repositories in order to build practical automated tools for developers.

Prospective Students

 Info for PRospective students

Getting Involved in Research

I am generally always on the lookout for outstanding students for fully funded positions in the SAGE Lab to work at the intersection of software engineering and machine learning at the University of Central Florida. I typically work with students across all education levels (click here to see students who have worked with me in the past) including doctoral, masters, undergraduate, and high school students.

If you are already a student at UCF, feel free to contact me to discuss potential research opportunities. If you are planning on applying to UCF, I also encourage you to contact me with an outline of your specific research interests (please include a CV). If you contact me, please put “[New UCF Sage Lab M.S./Ph.D. Applicant]” in the subject line of the email!

Resources for applying to UCF

If you are thinking about applying to UCF, I have included some resources below that point to information about the program, and the application system. If you are a student who has any questions about this process, feel free to contact me and I will respond as quickly as my schedule permits.

Overview of My Research

My work lies primarily at the intersection of software engineering and machine learning, with a focus on building smarter developer tools to enable the next generation of software developers to build high quality software quickly and effectively. Check out my short presentation below to learn more about my work!