As at November 2023
Ts Abdullah Sani obtained his first degree in Informatique with specialization in Industrial Systems from the University of La Rochelle, France in 1995. He was then employed by Ramgate Systems Sdn Bhd (a subsidiary of DRB-HICOM) as a Project Engineer in an automated storage retrieval project in KLIA. He was then served as a lecturer in Electrical and Equipment Installation Technology Department at at Univerisiti Kuala Lumpur-MFI (Malaysia France Institute). He completed his Master’s Degree in Computer Science with specialization in Distributed Computing from Universiti Putra Malaysia in 2004. He is currently a PhD candidate in UTP, specializing in Cyber security. His current research interests are in cyber security, optimization and data analytics.
Masrom, S. and Tarmizi, M.A. and Halid, S. and Rahman, R.A. and Abd Rahman, A.S. and Ibrahim, R. (2023) Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants. International Journal of Advanced and Applied Sciences, 10 (7). pp. 48-53.
Masrom, S. and Abd Rahman, A.S. and Omar, N. and Rapa�ee, S. (2022) PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm. International Journal of Emerging Technology and Advanced Engineering, 12 (7). pp. 86-93. ISSN 22502459
Masrom, S. and Baharun, N. and Razi, N.F.M. and Rahman, R.A. and Abd Rahman, A.S. (2022) Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction. International Journal of Emerging Technology and Advanced Engineering, 12 (1). pp. 146-151. ISSN 22502459
Rahman, R.A. and Masrom, S. and Zakaria, N.B. and Nurdin, E. and Abd Rahman, A.S. (2021) Prediction of earnings manipulation on Malaysian listed firms: A comparison between linear and tree-based machine learning. International Journal of Emerging Technology and Advanced Engineering, 11 (8). pp. 111-120. ISSN 22502459
Abd Rahman, A.S. and Zakaria, M.N. and Masrom, S. (2016) Attack path selection optimization with adaptive genetic algorithms. Advanced Science Letters, 22 (10). pp. 2871-2875. ISSN 19366612