Research output per year
Research output per year
Personal profile
Profile Summary
Hani Ragab is a researcher and educator specialising in cybersecurity and developing machine learning-based approaches to cybersecurity problems, access control systems, and P2P-based systems. He has extensive experience in deep learning-based malware analysis and intrusion detection, designing and building authentication, authorisation, and access control systems from scratch. He led multiple research projects, supervised many PhDs, and published tens of research papers, many of which in top 5 cybersecurity venues. He is leading the research group on Cybersecurity with AI at the school of Mathematical and Computer Sciences at Heriot-Watt University. He has also organised and run several CPD events on Cybersecurity (awareness and advanced topics), as well as AI awareness.
Research interests
Cybersecurity, Deep learning Applications to Cybersecurity, NLP Applications to Cybersecurity, Access Control, and P2P-based systems.
Key Research Words/Phrases
Malware Analysis, Intrusion Detection, DDoS on Cloud, Vulnerability Detection, SOC 2.0.
Roles & Responsibilities
Current roles:
- Cybersecurity, Networking, and AI Research Group Leader
- Associate Director of PGR Studies for MACS
- Academic Integrity and Discipline Officer
Past Roles:
- Associate Director of Learning & Teaching
- Associate Director of Research
- Director of Undergraduate Studies
- Programme Director of MSc Network Security
- Programme Director for BSc Computer Systems
Research interests
Cybersecurity, Deep learning Applications to Cybersecurity, NLP Applications to Cybersecurity, Access Control, and P2P-based systems.
Current PhD students at Heriot-Watt University:
- Biju Hameed
- Topic: Designing an actionable framework for airport cybersecurity.
- Supervision team: Prof. Hani Ragab Hassen, Dr. Hadj Batatia, Dr. Bushra Al Blooshi (external, head of Research and Development, Dubai Electronic Security Center).
- Mahmoud Elsheikh
- Topic: Natural Language Processing Approach to Vulnerability Detection in Source Code.
- Supervision team: Prof. Hani Ragab Hassen, Prof. Michael Lones, Dr. Arash Eshghi.
- Kayvan Karim
- Topic: Network-based Intrusion Detection System using Machine Learning.
- Supervision team: Prof. Hani Ragab Hassen, Dr. Hadj Batatia.
Past PhD students at Heriot-Watt University:
- Dr. Salih Ismail
- Topic: Reflection-based DDoS Attacks in the Cloud
- Supervision team: Prof. Hani Ragab Hassen, Dr. Mike Just, Prof. Hind Zantout
- Dr Ali Muzaffar
- Topic: Android Malware Detection Using Machine Learning
- Supervision team: Prof. Hani Ragab Hassen, Prof. Michael Lones, Prof. Hind Zantout
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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- 1 Similar Profiles
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Large Language Model-based Network Intrusion Detection
Davey, D., Karim, K., Ragab Hassan, H. & Batatia, H., 2024.Research output: Contribution to conference › Paper › peer-review
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NetFlow Based Network Intrusion Prevention System Using Machine Learning
Moses, J. D., Karim, K., Ragab Hassan, H. & Batatia, H., 2024.Research output: Contribution to conference › Paper › peer-review
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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
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Assessment of Pharmaceutical Patent Novelty with Siamese Neural Networks
El-Shimy, H., Zantout, H. & Hassen, H. R., 2023, Artificial Neural Networks in Pattern Recognition. ANNPR 2022. El Gayar, N., Trentin, E., Ravanelli, M. & Abbas, H. (eds.). Springer, p. 140-155 16 p. (Lecture Notes in Computer Science; vol. 13739).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile2 Citations (Scopus)31 Downloads (Pure) -
D2TS: a dual diversity tree selection approach to pruning of random forests
Ragab Hassen, H., Alabdeen, Y. Z., Gaber, M. M. & Sharma, M., Feb 2023, In: International Journal of Machine Learning and Cybernetics. 14, 2, p. 467-481 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)32 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