Mohammed Fadhil Zamil

Faculty: Medical Informatics
Position: Associate Dean for Scientific Affairs
Title: Lecturer
Qualifications: Ph. D.
Email: mfadhil@uoitc.edu.iq

   


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
642017
A systematic analysis of random forest based social media spam classification
M Al-Janabi, P Andras
International Conference on Network and System Security, 427-438, 2017
82017
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
72010
Detection of suspicious URLs in online social networks using supervised machine learning algorithms
MFZ Al-Janabi
Keele University, 2018
32018
A Comprehensive Data Enhancement Method for the Pima Dataset to Improve Diabetes Prediction Performance
MF Zamil, DH Hameed, US Mahmoud
Journal Port Science Research 8 (4), 314-320, 2025
12025

  • Ph.D. in Data Science - Computer Science - Keele University - UK (2018)
  • M.Sc. in Computer Science - USM - Malaysia (2010)
  • B.Sc in Computer Science - Baghdad University - Iraq (2007)

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