Teaching and Learning

1. Social Network Analytics (SNA)

  • Course Code: MANB2163 / MRTB2163
  • Teaching Duration: 9 Academic Years (Taught consecutively from Semester 1, 2017/2018 up to Semester 1, 2025/2026).

  • Active Research (Grants):
    • Principal Investigator: Criminal Network Search Model Using Social Network Analytics For The Internet Of Things (IoT) Crime Investigation (FRGS).
    • Principal Investigator: A New Source-Intermediate Reliance Framework To Identify Important Node In Complex Network.
    • Member: Social Media Community Model Towards Flood Disaster Preparedness In The Case Of Klang Valley.

  • Key Publications:
    • “Using shortest path to discover criminal community” (Digital Investigation, 2015).
    • “Identifying a criminal’s network of trust” (IEEE, 2014).
    • “Graph analysis study of a city bus transit network” (2020).
    • “Malaysian Politicians’ Connection Pattern on Twitter using SNA” (2021).

2. E-Crime Investigation & Digital Forensics

  • Course Codes: MANA1563 / MRTA1563 & MANA1533 (Enterprise Information Assurance)
  • Teaching Duration: 11 Academic Years (E-Crime taught continuously from Semester 1, 2015/2016 to Semester 1, 2025/2026. Enterprise Information Assurance was taught for 3 years from 2015 to 2018).

  • Active Research (Grants):
    • Consultant/PI: A Study On Malware Detection Techniques (CyberSecurity Malaysia).
    • Member: Development of Integrated Cyber Evidence (ICE) Framework.
    • Member: Novel Computer Forensic Approach For Cloud Computing Environment.

  • Key Publications:
    • “An Enhanced Process of Digital Forensic to Support E-Crime Investigations Focusing on Evidence Handling in Malaysian Armed Forces” (2020).
    • “Systematic literature review for malware visualization techniques” (2018).
    • “Proposed proactive digital forensic approach for cloud computing environment” (2018).
    • Patent: A New Digital Evidence Retrieval Model for Gambling Machine Forensic Investigation.

3. Business Intelligence & Data Analytics

  • Course Code: MRTB1133 (Business Intelligence – ODL)
  • Teaching Duration: Recent / Ongoing (Listed as your core ODL subject).

  • Active Research (Grants):
    • Principal Investigator: Bitcoin Fraud Detection And Control Model Using Nearest Neighbor Technique For Financial Institutions.
    • Principal Investigator: Classification of Patient’s Speech in Malay Language using Supervised Machine Learning.
    • Member: Predicting Juvenile and Youth Crime in Malaysia using Machine Learning Approach.

  • Key Publications:
    • “Financial fraud detection applying data mining techniques: a comprehensive review from 2009 to 2019” (Computer Science Review, 2021).
    • “Advanced recurrent neural network with tensorflow for heart disease prediction” (2020).
    • “Early Prediction on Depression Based On Text Classification Method Of Machine Learning” (2021).

4. Other Historical Subjects

  • Business Continuity Management (MANA2133): Taught for 1 Academic Year (2016/2017).
  • Seminar Keselamatan Maklumat (MCS2070): Taught for 1 Academic Year (2010/2011).
  • Law, Investigations and Ethics (MCS1493): Taught for 1 Academic Year (2010/2011).