Anwar Ghammam, PhD

Assistant Professor
Portrait of a smiling individual in a pink blazer and glasses.
College of Engineering and Computer Science
Computer and Information Science
[email protected]
214 Computer and Information Science Building | 4901 Evergreen Road | Dearborn, MI 48128
link

Teaching Areas:

Computer and Information Science, Software Engineering

Research Areas:

Artificial Intelligence, Machine Learning, Optimization, and Intelligent Systems, Software Engineering

Biography and Education

Education

  • Ph.D. in Computer Science and Information (2021–2025), Oakland University, Rochester, Michigan
  • M.S. in Computer Science and Information (2021–2023), Oakland University, Rochester, Michigan
  • B.Sc. in Computer Science (2016–2021), National Institute of Applied Science and Technologies (INSAT), Tunis, Tunisia

Selected Publications

  • Ghammam, A., Rzig, D. E., Almukhtar, M., Khalsi, R., Hassan, F., & Kessentini, M. (2025). Build Code Needs Maintenance Too: A Study on Refactoring and Technical Debt in Build Systems. In 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR) (pp. 616–628). IEEE.
  • Ghammam, A., Khalsi, R., Kessentini, M., & Hassan, F. (2024). Efficient management of containers for software defined vehicles. ACM Transactions on Software Engineering and Methodology, 33(8), 1–36.
  • Ivers, J., Ghammam, A., Gaaloul, K., Ozkaya, I., Kessentini, M., & Aljedaani, W. (2024). Mind the gap: The disconnect between refactoring criteria used in industry and refactoring recommendation tools. In 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME) (pp. 138–150). IEEE.
  • Aljedaani, W., Ghammam, A., Mkaouer, M. W., & Kessentini, M. (2024, April). From boring to boarding: Transforming refactoring education with game-based learning. In Proceedings of the ACM/IEEE 8th International Workshop on Games and Software Engineering (pp. 20–27).
  • Ghammam, A., Ferreira, T., Aljedaani, W., Kessentini, M., & Husain, A. (2023). Dynamic software containers workload balancing via many-objective search. IEEE Transactions on Services Computing, 16(4), 2575–2591.

Awards and Recognition

  • 2025 – MODELS: Virtualization Chair Committee Member
  • 2024 – NSF I-Corps Program: Selected to attend the National NSF I-Corps training program as an Entrepreneurial Lead
  • 2022–2023 – CSE OU Graduate Research Competition: Best Research Quality/Presentation Award
  • 2022 – ASE: Organizing Committee Member (Web Co-Chair)
  • 2022 – Industry-University Center on Pervasive AI Event: Most Industry-Ready Research Award (among projects presented by CU Boulder, Oregon State University, and Oakland University)
  • 2022 – Recipient of NSF Student Intern Scholarship