Mohammed Fadhil Zamil

Faculty: Medical Informatics
Position: Head of Department
Title: Lecturer
Qualifications: Ph. D.
Email: [email protected]


Title Citation Year
Using supervised machine learning algorithms to detect suspicious URLs in online social networks
M Al-Janabi, E Quincey, P Andras
Proceedings of the 2017 IEEE/ACM International Conference on Advances in�…, 2017
A systematic analysis of random forest based social media spam classification
M Al-Janabi, P Andras
Network and System Security: 11th International Conference, NSS 2017�…, 2017
A behavior based algorithm to detect spam bots
MF Zamil, AM Manasrah, O Amir, S Ramadass
2010 International Symposium on Collaborative Technologies and Systems, 453-462, 2010
Detection of suspicious URLs in online social networks using supervised machine learning algorithms
MFZ Al-Janabi
Keele University, 2018

Ph.D. in Data Science - Computer Science - Keele University - UK (2018), M.Sc. in Computer Science - USM - Malaysia (2010)

Delivering lectures in Data analysis; Artificial Intelligence; Deep learning; Object-oriented programming; Medical Informatics;