Skip to main content Skip to footer

Our People Profile

Mohd Hazli bin Mohamed Zabil, Ts. Dr.

Ts. Dr. Mohd Hazli Bin Mohamed Zabil

Dean & Senior Lecturer

Department of Computing (CCI)

College of Computing and Informatics

03-89212020 (Ext: 2324)

Academic Qualifications

  • Doctor of Philosophy, Universiti Sains Malaysia (2018)
  • Masters of Science (Computer Science), Universiti Teknologi Malaysia (2001)
  • Bachelor of Computer Science (Hons.), Universiti Teknologi Malaysia (1998)

Working Experience

Position Place of Work Start End
Senior Lecturer UNITEN 2010 Present
Lecturer UNITEN 2001 2010
System Consultant UNIK I.T, Johor Bahru 1998 2001

Research Projects

  • Open Source Print Spooler Management System
  • Agent Collaboration Framework
  • Delivering e- learning content through mobile technology

Courses Taught

  • Advanced Web Application Development
  • DevOps: Tools & Technologies
  • Programming I
  • Systems Design
  • Web Programming

Professional Associations

  • IEEE Computer Society Malaysia: Exco (2025)
  • Malaysia Board of Technologist: Normal Member (2024)
  • PERSATUAN SISTEM MAKLUMAT MALAYSIA (MyAIS): Normal Member (2024)
  • IEEE: Senior Member (2023)
  • Malaysia Board of Technology (MBOT): Normal Member (2023)
  • MBOT: Member (2021)
  • International Conference on Cybersecurity 2019 (ICOC2019): Co-Publication Chair (2019)
  • Malaysia Board of Technologists: Member (2019)
  • IEEE Computer Society Malaysia Chapter: Secretary (2018)
  • 2018 IEEE Conference on Big Data Analytics (ICBDA2018): Publication Chair (2018)
  • 2018 IEEE Conference on e-Learning, e-Management and e-Services (IC3e2018): Publication Chair (2018)
  • 2018 IEEE Conference on Open System (ICOS2018): Publication Chair (2018)
  • 2018 IEEE Conference on Application and Information Security (AINS2018): Publication Chair (2018)
  • 2018 IEEE Conference on Wireless Sensors (ICWiSe 2018): Publication Chair (2018)
  • IEEE Computer Society Malaysia Chapter: Secretary (2017)
  • 2017 IEEE Conference on Application and Information Security (AINS2017): Publication Chair (2017)
  • TNB Integrated Learning Solution: Facilitator (2017)
  • IEEE Computer Society Malaysia Chapter: Secretary (2016)
  • 2016 IEEE Conference on Wireless Sensors (ICWiSe2016): Publication Chair (2016)
  • 2016 IEEE Conference on Open System (ICOS2016): Publication Chair (2016)
  • IEEE Computer Society Malaysia: Secretary (2015)
  • IEEE Computer Society Malaysia Section: 2015 Chapter Secretary (2014)
  • IEEE Computer Society Malaysia Section: 2014 Executive Committee (2014)
  • IEEE Computer Society Malaysia Section: 2016 Chapter Secretary (2013)
  • Malaysia Board of Technology (MBOT): Normal Member (1)

Recent Notable Publications

1.

Chen Soong Der; MOHD HAZLI BIN MOHAMED ZABIL. An Ensemble-Based Hybrid Decision Framework For Baggage Threat Detection Using Interval-Valued Spherical Fuzzy Sets. Engineering Applications Of Artificial Intelligence (Dec 2025). Journal. Cited: ISI

2.

MOHD HAZLI BIN MOHAMED ZABIL. Validation Framework For Robust And Explainable Machine Learning Models In Autism Spectrum Disorder Triage . Mesopotamian Journal Of Big Data (Nov 2025). Journal. Cited: SCOPUS

3.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. A Novel Hybrid Feature Selection Framework For Enhancing Accuracy And Interpretability In Machine Learning Model For Student Performance Prediction. International Journal Of Applied Mathematics (Oct 2025). Journal. Cited: SCOPUS

4.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. A Novel Hybrid Feature Selection Framework For Enhancing Accuracy And Interpretability In Machine Learning Model For Student Performance Prediction. International Journal Of Applied Mathematics (Ijam) (Oct 2025). Journal. Cited: SCOPUS

5.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng; MOAMIN A MAHMOUD. Predictive Modeling In Communication Studies: A Systematic Review Of Feature Selection Techniques For Data-Driven Insights. Review Of Communication Research Journal (Sep 2025). Journal. Cited: SCOPUS

6.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Predictive Modeling In Communication Studies: A Systematic Review Of Feature Selection Techniques For Data-Driven Insights. Review Of Communication Research Journal (Sep 2025). Journal. Cited: SCOPUS

7.

YUNUS BIN YUSOFF; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Statistical Sem-Ann Approaches For Metaverse Adoption In Education. Statistical Sem-Ann Approaches For Metaverse Adoption In Education (Sep 2025). Journal. Cited: SCOPUS

8.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Predictive Modeling In Communication Studies: A Systematic Review Of Feature Selection Techniques For Data-Driven Insights. Review Of Communication Research Journal (Sep 2025). Journal. Cited: ISI

9.

MOHD HAZLI BIN MOHAMED ZABIL. Strategies For Protection Against Adversarial Attacks In Ai Models: An In-Depth Review. Journal Of Intelligent Systems (Jul 2025). Journal. Cited: ISI

10.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Human Activity Recognition: The Role Of Hybrid Feature Extraction Technique In Accelerometer Data Using A Voting Classifier Approach. 2024 Ieee International Conference On Computing (Icoco 2024) (Mar 2025). Conference Proceeding. Cited: Indexing In Progress

11.

YUNUS BIN YUSOFF; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Factors Effecting On The Adoption Of Metaverse In Higher Education: A Systematic Literature Review. Journal Of Information Systems Engineering And Management (Mar 2025). Journal. Cited: SCOPUS

12.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Human Activity Recognition: The Role Of Hybrid Feature Extraction Technique In Accelerometer Data Using A Voting Classifier Approach. 2024 Ieee International Conference On Computing (Icoco) (Jan 2025). Conference Proceeding. Cited: SCOPUS

13.

MUHAMMAD SUFYIAN BIN MOHD AZMI; MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Interpretable Machine Learning For Complex Human Activity Recognition: A Voting Classifier Approach Using Adaboost And Random Forest. 2024 Ieee International Conference On Computing (Icoco) (Jan 2025). Conference Proceeding. Cited: SCOPUS

14.

MOHD HAZLI BIN MOHAMED ZABIL. Fuzzy Evaluation And Benchmarking Framework For Robust Machine Learning Model In Real-Time Autism Triage Applications.. International Journal Of Computational Intelligence Systems (Jun 2024). Journal. Cited: ISI

15.

MOHD HAZLI BIN MOHAMED ZABIL. Towards The Selection Of Distance Metrics For K-Nn Classifier In Students' Performance Prediction Modeling. 2023 Ieee International Conference On Computing (Icoco) (Oct 2023). Conference Proceeding. Cited: Indexing In Progress

16.

MOHD HAZLI BIN MOHAMED ZABIL. Selecting Machine Learning Models For Student Performance Prediction Aligned With Pedagogical Objectives. 2023 Ieee International Conference On Computing (Icoco) (Oct 2023). Conference Proceeding. Cited: Indexing In Progress

17.

MOHD HAZLI BIN MOHAMED ZABIL. Selecting Machine Learning Students Performance Prediction Models In Compliance With Pedagogical Objectives. Ieee International Conference On Computing (Icoco2023) (Oct 2023). Conference Proceeding. Cited: SCOPUS

18.

MOHD HAZLI BIN MOHAMED ZABIL. Towards The Selection Of Distance Metrics For K-Nn Classifier In Students' Performance Prediction Modeling. 2023 Ieee International Conference On Computing (Icoco 2023) (Oct 2023). Conference Proceeding. Cited: SCOPUS

19.

MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Image Denoising Using Hybrid Deep Learning Approach And Self-Improved Orca Prediction Algorithm. Mdpi Technologies (Aug 2023). Journal. Cited: ISI

20.

MOHD HAZLI BIN MOHAMED ZABIL; Lim Kok Cheng. Image Denoising Using Hybrid Deep Learning Approach And Self-Improved Orca Predation Algorithm. Mdpi Technologies (Aug 2023). Journal. Cited: ISI