Supervisions

 

1. Doctor of Philosophy (PhD) Students

Graduated:

  • Inthrani a/p Shanmmugam (Main Supervisor, 2021)
    • Thesis: Information Security Risk Assessment Framework For Data Centres in the Malaysian Public Sector using Survival Analysis Technique.
  • Surenthiran a/l Krishnan (Main Supervisor, 2023)
    • Thesis: Enhanced Recurrent Neural Network RNN Model with Gated Recurrent Unit GRU for Heart Disease Prediction.
  • Khaled Gubran Yahya Al-Hashedi (Main Supervisor, 2023)
    • Thesis: Bitcoin Fraud Detection Model using the Nearest Neighbout Technique for Financial Institutes,.
  • Omar Saif Musabbeh Bin Hamed Almazrouei (Main Supervisor, 2024)
    • Thesis: Network Graph Analysis using IoT Penetration Testing.

Current / Ongoing:

  • Dinishwaren a/l Jothi (Main Supervisor)
    • Thesis: Machine Learning-Driven Emotion Detection in Response to Software Updates in Malaysian Banking Applications.
  • Abdulmunem Abdulwahid Kh Al-Janabi (External Co-Supervisor, UNITEN)
    • Thesis: Autonomous Technology for Autonomous People: Exploring the Impact and Implications of Autonomous Technologies on Individuals with Disabilities and Older Adults.
  • Al Khatir Karam Hatim Khalaf (External Co-Supervisor, UNITEN)
    • Thesis: A Blockchain Hybrid Metaheuristic Optimization Model For Enhancing Scalability And Security In Electronic Health Records.

2. Master of Philosophy (MPhil / Master by Research) Students

Current / Ongoing:

  • Sri Prathayini a/p Arudra (Main Supervisor)
    • Thesis: An AI-Driven Customized Toolbox Talk Framework For The Oil And Gas Industry.

3. Master Students (by Taught Course)

Graduated / Completed:

  • Fatimah Binti Mohamad Yunus (Main Supervisor, 2017)
    • Thesis: Data Quality Evaluation Model For Transportation Agency.
  • Sharmiladevi a/p Sonnah Kakian@Rajoo (Main Supervisor, 2017)
    • Thesis: False Report Identification Algorithm using Text Classification Technique for CitiAct Application.
  • Komathi a/p Krishnan (Main Supervisor, 2019)
    • Thesis: A Proposed Information Security Management Framework in IoT Architecture Layers For IoT Implementation in Healthcare Service.
  • Chua Kean Hoe (Main Supervisor, 2019)
    • Thesis: Digital Crime Evidence Acquisition and Evaluation Process for Facebook, Instagram and Skype in Windows 10 System.
  • Yalini Bavan (Main Supervisor, 2019)
    • Thesis: Predicting Unsafe Food From User Reviews Using Machine Learning Technique.
  • Sarowar Monjil Shuvo (Main Supervisor, 2019)
    • Thesis: Quality Prediction Model for Low Cost Airlines in Malaysia using Sentiment Analysis.
  • Jeyraj a/l S. Maran (Main Supervisor, 2019)
    • Thesis: Predicting the Success of Telemarketing using Machine Learning Technqiues for Banking Sector.
  • Najmi Azfar Bin Mohd Rosli (Main Supervisor, 2020)
    • Thesis: An Improved Threat Hunting Process For Malaysian Armed Forces.
  • Mohd Hafzi Bin Marzuki (Main Supervisor, 2019)
    • Thesis: Enhanced of Digital Forensics Process to Support E-Crime Investigations in Malaysian Armed Forces,.
  • Muhammad Hasif Bin Zulkifli (Main Supervisor, 2020)
    • Thesis: Application of Multi-Layer Perceptron Neural Network Algorithm to Predict the Trend of EURUSD Market.
  • Daeng Ahmad Zuhri Bin Zuhud (Main Supervisor, 2020)
    • Thesis: Mining Malaysia’s Largest Stock Market Captilisation Performance using Temporal Network Analysis.
  • Mohamad Hafizudin Bin Idris (Main Supervisor, 2020)
    • Thesis: Predicting Medical Insurance Claim Payment Fraud in Medicare System by using Machine Learning Model,.
  • Muhammad Nor Hafiz Bin Yaacob (Main Supervisor, 2020)
    • Thesis: Predicting the Urban Rail Passengers Travel Pattern in Klang Valley Using An Enhanced Gradient Boosting Model.
  • ShivaPriya a/p Narayanan (Main Supervisor, 2021)
    • Thesis: Enhanced Model Payment Fraud Detection Using Hybrid Machine Learning Model.
  • Mohd Fadhli Bin Nazruddin (Main Supervisor, 2022)
    • Thesis: Digital Forensic Framework For Data Breach at Public Hospital.
  • Nur Nesa Nashuha Binti Ismail (Main Supervisor, 2022)
    • Thesis: Classification of Patient’s Speech in Malay Language Using Supervised Machine Learning.
  • Muhammad Fadhli Bin Mohd Radzi (Main Supervisor, 2022)
    • Thesis: Malicious Cyber Threat Actor: A Quantitative Study of Determining the Security of Cyber Threat.
  • Sara a/p Pandianadan (Main Supervisor, 2023)
    • Thesis: Sales Prediction Using Machine Learning Approach For The Sme And Micro Retailers.
  • Jovi Lee Jun Tatt (Main Supervisor, 2023)
    • Thesis: Malaysia Crypto Exchange Price Prediction using Machine Learning.
  • Kamarul Nizam Bin Khamis (Main Supervisor, 2023)
    • Thesis: The Development Of Malware Analysis Methodology For Macos Environment.
  • Pavetheran a/l S.Palani (Main Supervisor, 2024)
    • Thesis: Prediction Of Active Power Generated By Wind Turbines Using Data Mining Model,.
  • Mathilda Lizanne James (Main Supervisor, 2024)
    • Thesis: Enhancing Data Accuracy Through Advanced Data Cleaning Methods On E-Commerce Data.
  • Kiesha Rae Loh (Co-supervisor, 2024)
    • Thesis: Enhanced Phishing Awareness Models Through the Integration Of Social Engineering Insights.
  • Tonny Wong Tak Ming (Co-supervisor, 2025)
    • Thesis: Heart Disease Classification Using Hybrid Supervised Machine Learning.
  • Arulkumar a/l Periyasamy (Co-supervisor, 2025)
    • Thesis: Predictive Maintenance For Semiconductor Equipment Using Supervised Machine Learning Approach.
  • Siti Nur Akilah Binti Ismail (Main Supervisor, 2025)
    • Thesis: Residential Rental Price Prediction In Urban Malaysia Using Tree-Based Model And Interpretable Machine Learning Technique,.

Current / Ongoing:

  • Shai Li Jiun (Co-supervisor)
    • Thesis: Predictive Analytics For Residential Propetry Price Forecasting In Malaysia Using Machine Learning.
  • Soo Ei Yian (Co-supervisor)
    • Thesis: Detecting Children Mental Health Issues Using Machine Learning Models.
  • Sun Qiyuan (Main Supervisor)
    • Thesis: A Dual-Track Network Analysis Model for Role Recognition and Systemic Risk Detection in Real-World Asset (RWA) Blockchain.