Aisha Ali Gombe

Associate Professor

Contact

aaligombe@lsu.edu
Office 3272T
Patrick F. Taylor Hall

Educational Background

Ph.D. in Engineering and Applied Science, the University of New Orleans, USA, 2017

M.S in Computer Science, University of New Orleans, USA, 2012

MBA, Bayero University, Kano, Nigeria, 2011

BS.c., Computer Science, University of Abuja, 2005

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Aisha Ali-Gombe

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  • 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