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Kevin Moran

Kevin Moran

Assistant Professor

EMAIL
  • Office: L3 Harris Engineering Center Room 217A
  • Email: kpmoran@ucf.edu
  • Phone: 407-823-5239

BIOGRAPHY

Kevin Moran is an assistant professor in the Department of Computer Science at the University of Central Florida, where he directs the Software Automation, Generation, and Engineering (SAGE) Research Lab and is affiliated with the Cyber Security and Privacy Cluster.

His research focuses on software engineering, software security, machine learning, and software evolution and maintenance, particularly in the context of mobile platforms. Moran has published extensively in these areas and has received multiple awards, including the National Science Foundation CAREER Award and several distinguished paper awards at leading conferences.

Before joining UCF, Moran was an assistant professor at George Mason University from 2020 to 2023. He earned a bachelor’s degree in physics with a minor in computer science from the College of the Holy Cross in 2013, and master’s and doctoral degrees in computer science from William & Mary in 2015 and 2018, respectively.

EDUCATION

  • Ph.D. in Computer Science – William and Mary

RESEARCH

  • Software engineering
  • Software security
  • Machine learning
  • Software evolution and maintenance

 

PUBLICATIONS

  • S. Ami, K. Moran, D. Poshyvanyk, and A. Nadkarni, “’False negative – that one is going to kill you’ – Understanding Industry Perspectives of Static Analysis based Security Testing” in Proceedings of the IEEE Symposium on Security and Privacy (S&P 2024), May 20-23, 2024.
  • Mahmud, N. De Silva, S. Ali Khan, S. H. Mostafavi, SM H. Mansur, O. Chaparro, A. Marcus, and K. Moran, “On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization,” in Proceedings of the 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 14-20, 2024, to appear.
  • SM H. Mansur, S. Salma, D. Awofisayo, and K. Moran, “AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces,” in Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023), Melbourne, Australia, May 14-20, 2023, to appear.
  • Zhao, S. Talebipour, K. Baral, H. Park, L. Yee, S. A. Khan, Y. Brun, N. Medvidovic, and K. Moran, “AVGUST: Automating Usage-based Test Generation from Videos of App Executions,” in Proceedings of the 2022 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), Singapore, November 14-18, 2022, pp. 421-433. (22% acceptance rate)
  • Watson, N. Cooper, D. Nader Palacio, K. Moran, and D. Poshyvanyk, “A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research,” in ACM Transactions on Software Engineering and Methodology (TOSEM), vol. 31, no. 2, pp.1-58.

AWARDS

  • Cisco Advanced Security Research Award (2019-2022)
  • ACM SIGSOFT Distinguished Paper Award at ICSE’20
  • ACM SIGSOFT Distinguished Paper Award at ESEC/FSE’19
  • Best Paper Award at CODASPY’19
  • Distinguished Reviewer Awards at ICPC’21, MSR’21, ICPC’22, MSR’22, & ICSE’23

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