Aisha Ali Gombe

Associate Professor

Contact

aaligombe@lsu.edu
Office 
Digital Media Center

Educational Background

Ph.D. in Engineering and Applied Science, the ¾Å¾Å¸£ÀûÍø of New Orleans, USA, 2017

M.S in Computer Science, ¾Å¾Å¸£ÀûÍø of New Orleans, USA, 2012

MBA, Bayero ¾Å¾Å¸£ÀûÍø, Kano, Nigeria, 2011

BS.c., Computer Science, ¾Å¾Å¸£ÀûÍø of Abuja, 2005

Aisha Ali-Gombe

 

  • CSC 4103: Operating Systems
  • CSC 4630: Reverse Engineering and Malware Analysis
  • Cybersecurity
  • User Privacy
  • Digital Forensics
  • Walton, B. J., Khatun, M. E., Ghawaly, J. M., & Ali-Gombe, A. (2025). Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware. arXiv preprint arXiv:2501.04848.
  • Bello, S., Bappah, B., Tanet, N. R., Betzwieser, A. S., & Ali-Gombe, A. (2024, October). User Privacy in the Digital Playground: An In-Depth Investigation of Facebook Instant Games. In 2024 IEEE Secure Development Conference (SecDev) (pp. 64-75). IEEE.
  • Woodring, J., Perez, K., & Ali-Gombe, A. (2024). Enhancing privacy policy comprehension through privacify: A user-centric approach using advanced language models. Computers & Security, 145, 103997.
  • Waguespack, K. M., Smith, K. J., Muliri, O. A., Vijayakanthan, R., & Ali-Gombe, A. (2024). MARS: The first line of defense for IoT incident response. Forensic Science International: Digital Investigation, 49, 301754.
  • Seiden, S., Baggili, I., & Ali-Gombe, A. (2023, November). I’ve got you, under my skin: Biohacking augmentation implant forensics. In International Conference on Digital Forensics and Cyber Crime (pp. 315-332). Cham: Springer Nature Switzerland.
  • Vijayakanthan, R., Waguespack, K. M., Ahmed, I., & Ali-Gombe, A. (2023, October). Fortifying IoT Devices: AI-Driven Intrusion Detection via Memory-Encoded Audio Signals. In 2023 IEEE Secure Development Conference (SecDev) (pp. 106-117). IEEE.
  • Vijayakanthan, R., Ahmed, I., & Ali-Gombe, A. (2023). SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices. Computers & Security, 132, 103298.
  • Ali-Gombe, A., Sudhakaran, S., Vijayakanthan, R., & Richard III, G. G. (2023). cRGB_Mem: At the intersection of memory forensics and machine learning. Forensic Science International: Digital Investigation, 45, 301564.
  • Phillips, N., & Ali-Gombe, A. SPVExec and SPVLUExec-A Novel Realtime Defensive Tool for Stealthy Malware Infection.
  • Barone IV, C. R., Serafin, R., Shavrov, I., Baggili, I., Ali-Gombe, A., Richard III, G. G., & Case, A. (2022). A Reverse Engineering Education Needs Analysis Survey. arXiv preprint arXiv:2212.07531.
  • 2022: DFRWS Best Paper Award, Virtual
  • 2021: FCSM Excellence in Scholarship Award
  • 2021: DFRWS Best Paper Award, Virtual
  • 2018: DFRWS Best Student Paper Award, Providence, RI
  • 2016: ACM CODASPY Outstanding Poster Award, New Orleans, LA 
  • 2001: TotalFinaElf Undergraduate Merit Scholarship, Nigeria