Curriculum Vitae

DR. MOHAMAD HAZIM BIN MD HANIF

Senior Lecturer
  • Department of Software Engineering
    Faculty of Computer Science and Information Technology
  • hazimhanif
  • 03-79672515

BIOGRAPHY

Hazim Hanif is a Senior Lecturer at the Department of Software Engineering, Faculty of Computer Science and Information Technology at Universiti Malaya. He earned his Master of Computer Science (Research) - Information Security degree from Universiti Malaya in 2018 and his PhD in Computer Security and Artificial Intelligence from Imperial College London in 2023. His research interests focus on the analysis of the representation knowledge of source code and how it can enhance vulnerability detection models in identifying and localizing security vulnerabilities in source code. His published works and presentations have been featured in top-tier conferences and journals. He is also a core member of the Centre of Research for Cyber Security and Network (CSNET), Universiti Malaya. Additionally, he is a registered professional member of the Association for Computing Machinery (ACM) and a member of the ACM Special Interest Group on Security, Audit and Control (SIGSAC).

AREAS OF EXPERTISE

  • SOFTWARE QUALITY
    Software Security, Software Vulnerabilities
  • NEURAL NETWORKS, GENETIC ALGORITHMS AND FUZZY LOGIC
    Deep Learning, Large Language Models (LLMs)

ACADEMIC QUALIFICATION

  • Doctoral Degree (PhD)
    Imperial College London, UK
  • SARJANA SAINS KOMPUTER, (Computer Science)
    Universiti Malaya (UM)
  • SARJANA MUDA SAINS KOMPUTER (SISTEM DAN RANGKAIAN KOMPUTER) LULUS DENGAN KEPUJIAN, (Rangkaian Komputer)
    Universiti Malaya (UM)

ADMINISTRATIVE DUTIES

  • Task Force Member - Universiti Malaya Open Science (UMOS)
    13 Jun 2024 - 12 Jun 2027 (University Malaya)
  • Task Force Member (curriculum) - Master of Cybersecurity
    05 Jan 2024 - 06 Jan 2027 (Department of Software Engineering, Faculty of Computer Science and Information Technology)
  • Task Force Member - eHR UM Development
    19 Jul 2024 - 18 Jul 2026 (University Malaya)
  • Committee Member - FCSIT Student Affairs (JKHEP)
    27 Mar 2024 - 31 Dec 2024 (Department of Software Engineering, Faculty of Computer Science and Information Technology)
  • Task Force Member - Industry-Academia Conference at the Faculty of Computer Science and Information Technology, UM
    22 Jan 2024 - 31 Dec 2024 (Department of Software Engineering, Faculty of Computer Science and Information Technology)
  • Task Force Member - FSKTM Roadshow 2024
    01 Jan 2024 - 31 Dec 2024 (Department of Software Engineering, Faculty of Computer Science and Information Technology)
  • Supervisor - FCSIT students internship
    28 May 2024 - 30 Sep 2024 (Department of Software Engineering, Faculty of Computer Science and Information Technology)
  • Chair - Procurement of servers
    10 Sep 2024 - 19 Sep 2024 (University Malaya)
  • Technical Evaluation Committee - Procurement of ICT product
    06 May 2024 - 05 Sep 2024 (Department of Software Engineering, Faculty of Computer Science and Information Technology)
  • Chair - Product License Renewal
    24 Apr 2024 - 29 Aug 2024 (University Malaya)
  • Committee Member - FCSIT Open Day 2024
    15 Aug 2024 - 24 Aug 2024 (Department)
  • Promoter - Jom Masuk U 2024 (JMU2024) Zon Timur 2
    27 May 2024 - 02 Jun 2024 (University Malaya)

MEMBERSHIPS

  • ACM SPECIAL INTEREST GROUP ON SECURITY, AUDIT AND CONTROL (SIGSAC), MEMBER
    2024 to present (International)
  • ASSOCIATION FOR COMPUTING MACHINERY (ACM) PROFESSIONAL MEMBER, MEMBER
    2023 to present (International)

PUBLICATIONS

Article in Journal
WoS
  1. Aqil, Nik; Zaki, Faiz; Afifi, Firdaus; Hanif, Hazim; Kiah, Miss Laiha Mat; Anuar, Nor Badrul (2024). Improved temporal IoT device identification using robust statistical features, PEERJ COMPUTER SCIENCE. 10. doi:10.7717/peerj-cs.2145
  2. Hanif, H., Nasir, M., Ab Razak, M. F., Firdaus, A., & Anuar, N. B. (2021). The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches. Journal of Network and Computer Applications, 179, 24. doi: 10.1016/j.jnca.2021.103009
  3. Feizollah, Ali; Ainin, Sulaiman; Anuar, Nor Badrul; Abdullah, Nor Aniza Binti; Hazim, Mohamad (2019). Halal Products on Twitter: Data Extraction and Sentiment Analysis Using Stack of Deep Learning Algorithms, IEEE ACCESS. 7, 83354-83362. doi:10.1109/ACCESS.2019.2923275
  4. Firdaus, Ahmad; Ab Razak, Mohd Faizal; Feizollah, Ali; Hashem, Ibrahim Abaker Targio; Hazim, Mohamad; Anuar, Nor Badrul (2019). The rise of "blockchain": bibliometric analysis of blockchain study, SCIENTOMETRICS. 120(3), 1289-1331. doi:10.1007/s11192-019-03170-4
  5. Hazim, Mohamad; Anuar, Nor Badrul; Ab Razak, Mohd Faizal; Abdullah, Nor Aniza (2018). Detecting opinion spams through supervised boosting approach, PLOS ONE. 13(6). doi:10.1371/journal.pone.0198884
Article in Proceeding
WoS
  1. Hanif, Mohamad Hazim Md; Adewole, Kayode Sakariyah; Anuar, Nor Badrul; Kamsin, Amirrudin (2018). Performance Evaluation of Machine Learning Algorithms for Spam Profile Detection on Twitter Using WEKA and RapidMiner, ADVANCED SCIENCE LETTERS. 24(2), 1043-1046. doi:10.1166/asl.2018.10683
Scopus
  1. Hanif H., Maffeis S. (2022). VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection, Proceedings of the International Joint Conference on Neural Networks. 2022-July. doi:10.1109/IJCNN55064.2022.9892280
  2. Rabheru R., Hanif H., Maffeis S. (2022). A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities, 5th IEEE Conference on Dependable and Secure Computing, DSC 2022 and SECSOC 2022 Workshop, PASS4IoT 2022 Workshop SICSA International Paper/Poster Competition in Cybersecurity. . doi:10.1109/DSC54232.2022.9888816

RESEARCH INTEREST

  • Software Vulnerability Detection (Software Vulnerability Detection)
  • Large Language Models for Source Code (LLM for Source Code)
  • Neural networks (Neural Networks In Software Security)
  • Anomaly Detection (Anomaly Detection)

RESEARCH PROJECT

National
  1. 2024 - 2027, Fundamental Research Grant Scheme (FRGS)
    Vocabulary Sharing Framework For Malaysian Sign Language Translation Using Large Language Model And Deep Learning ( Co-Researcher)
  2. 2024 - 2026, UNIVERSITI MALAYA RESEARCH EXCELLENCE GRANT (UMREG)
    Anomaly Detection Using Hybrid Swarm Intelligence and Evolutionary Algorithms in Wireless Sensor Networks ( Co-Researcher)
University
  1. 2023 - 2026, University Grant
    Self Tagging Model of Metadata Abstraction for Music Repository ( Co-Researcher)

CONSULTANCY PROJECT

  • Mytech: Technical Leadership Development Program (Tldp) - Module 5, Infineon Technologies (Kulim) Sdn Bhd
    16 Oct 2023 - 20 Oct 2023 (National)

ACADEMIC/PROF. SERVICES

Evaluation
  1. (2024) Phd Thesis - Internal Examiner, University, (Internal Examiner)
  2. (2024) Masters Dissertation - Internal Examiner, University, (Internal Examiner)
  3. (2024) Reviewer for Journal of Network and Computer Applications (Jnca), International, (Reviewer)
  4. (2024) Reviewer for Iet Cyber-Physical Systems, International, (Reviewer)
  5. (2024) Reviewer for Computers & Security (Cose), International, (Reviewer)
  6. (2023) Reviewer for Acm Transactions On Privacy and Security (Tops), International, (Reviewer)

SUPERVISION

Postgraduate Student
  1. (2024) Automated Cyber Security Risk Assessment and Mitigation Platform Using Semi-Supervised Machine Learning, MUHAMMAD AZIZI MOHD ARIFFIN
  2. (2024) ENHANCING ANOMALY DETECTION IN 6G NETWORKS WITH HYBRID DEEP LEARNING, MOHD AKBAR BIN ABU BAKAR
  3. (2024) A STUDY ON ADAPTIVE ANONYMITY APPROACH FOR SYSTEM PRIVACY AND SECURITY., LIU KUNYU
  4. (2024) SELF TAGGING MODEL OF METADATA ABSTRACTION FOR MUSIC REPOSITORY, RAZAILIN BINTI ABDUL RASHID
  5. (2024) Vulnerability Detection in PHP Using Machine Learning, SHENG YUAN
  6. (2024) Anomalous User Authentication Patterns Recognition Using User Authentication Log and Machine Learning, ALI MUJUTHABA
  7. (2024) Detecting Traffic Congestion Using CNN Leveraging Preexisting CCTV Environments, MOHAMMED SAIFELDEIN MOHAMMED AHMED
  8. (2024) Vulnerability Detection in C/C++ Using Machine Learning, CHONG KEE YEW
  9. (2024) Intrusion Detection Using Machine Learning Approach in Cloud Computing, ONG HUI MIN

TEACHING

Master
  1. (2024) WOA7016 - Cloud Computing
Bachelor
  1. (2024) WIA1002 - Data Structure
  2. (2024) WIX1002 - Fundamentals of Programming
  3. (2024) WIA2007 - Mobile Application Development
  4. (2024) WIF3009 - Python for Scientific Computing
  5. (2023) WIA2007 - Mobile Application Development
  6. (2023) WIX2001 - Thinking and Communication Skills

COURSE ATTENDED

Internal / External Course
INTERNAL COURSE- ORGANIZED BY PTJ
  1. EMERALD RESEARCH AND SUPERVISION 2023, Universiti Malaya (15 Aug 2023 - 17 Aug 2023)
  2. EMERALD TEACHING AND LEARNING 2023, Universiti Malaya (07 Aug 2023 - 11 Aug 2023)
CONFERENCE
  1. CAPACITY BUILDING WORKSHOP: OPEN ASIA PROJECT STUDY VISIT IN SLOVENIA, International School for Social Sciences and Business Studies, Celje (10 Nov 2024 - 16 Nov 2024)