Research output per year
Research output per year
Personal profile
Biography
I am an Assistant Professor at Heriot-Watt University’s School of Mathematical and Computer Sciences (MACS) and Year 4 co-ordinator. I completed my PhD in Computer Science from Heriot-Watt University in 2024, specializing in Android malware detection using machine learning techniques. I have 5 years of industry experience working as an AI Engineer, researching and developing AI solutions.
Research interests
My primary research area is AI applications in cybersecurity, particularly Android security using machine learning.
Roles & Responsibilities
Discipline and Academic Integrity Officer
Year 4 Coordinator MACS
Year 3 Group Project Coordinator
Fingerprint
Dive into the research topics where Ali Muzaffar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
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ActDroid: An active learning framework for Android malware detection
Muzaffar, A., Ragab Hassen, H., Zantout, H. & Lones, M. A., Jan 2026, In: Computers and Security. 160, 104724.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)8 Downloads (Pure) -
Reassessing feature-based Android malware detection in a contemporary context
Muzaffar, A., Ragab Hassen, H., Zantout, H. & Lones, M. A., 20 Jan 2026, In: PLoS ONE. 21, 1, e0341013.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)6 Downloads (Pure) -
Online Learning-Based Android Malware Detection Using API Call Graphs and Drift Detection: A Comparative Study
Hussain, M. D. & Muzaffar, A., 1 Aug 2025, Proceedings of the 2025 AAAI Summer Symposium Series. AAAI Press, p. 87-89 3 p. (Proceedings of the AAAI Symposium Series; vol. 6, no. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Android Malware Detection Using Control Flow Graphs and Text Analysis
Muzaffar, A., Riaz, A. H. & Hassen, H. R., 8 Sept 2023, Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023. Zantout, H. & Ragab Hassen, H. (eds.). Springer, p. 10-20 11 p. (Lecture Notes in Networks and Systems; vol. 760).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Citations (Scopus) -
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
Muzaffar, A., Ragab Hassan, H., Zantout, H. & Lones, M. A., 8 Sept 2023, Proceedings of the International Conference on Applied CyberSecurity (ACS) 2023. Zantout, H. & Ragab Hassen, H. (eds.). Springer, p. 3-9 7 p. (Lecture Notes in Networks and Systems; vol. 760).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile7 Link opens in a new tab Citations (Scopus)180 Downloads (Pure)
Datasets
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Android dataset for malware detection
Muzaffar, A. (Creator), Ragab Hassan, H. (Contributor), Lones, M. A. (Contributor) & Zantout, H. (Contributor), Heriot-Watt University, 2024
Dataset