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Lim Kok Cheng, Ts. Dr.

Ts. Dr. Lim Kok Cheng

Senior Lecturer

Department of Computing (CCI)

College of Computing and Informatics

03-89212020 (Ext: 3570)
Kokcheng@uniten.edu.my

Academic Qualifications

  • PhD. in Computer Science, Universiti Teknologi Malaysia (2022)
  • Masters in Information Technology, Universiti Tenaga Nasional (2011)
  • Bachelor in Information Technology (Hons), Universiti Tun Abdul Razak (2007)

Working Experience

Position Place of Work Start End
Tutor Universiti Tenaga Nasional 2010 2011
Lecturer Asia Pasicif University 2009 2010
Research Assistant MOHE/ Universiti Tenaga Nasional 2008 2009
IT Analyst YV Group Sdn. Bhd 2007 2008

Courses Taught

  • Algorithmic Problem Solving
  • Data Visualization Programming
  • Industrial Training
  • Java Programming
  • Programming I
  • Programming II
  • Software Technologies and Innovation
  • Systems Design

Professional Associations

  • MBOT - Malaysia Board of Technologists: Normal Member (2025)
  • IEEE: Normal Member (2025)
  • IEEE Computer Society: Exco (2025)
  • IEEE Computer Society: Exco (2025)
  • IEEE Computer Society: Exco (2024)
  • MBOT - Malaysia Board of Technologists: Senior Member (2023)
  • IEEE Membership 2024: Normal Member (2023)
  • IEEE Computer Society: Exco (2022)
  • IEEE Membership (Electronic): Normal Member (2022)
  • IEEE: Exco (2022)
  • Malaysia Board of Technologies: Normal Member (2022)
  • IEEE Computer Society Malaysia: Exco (2021)
  • Lembaga Teknologis Malaysia: Member (2018)
  • Lembaga Teknologis Malaysia: Member (2018)
  • MBOT - Malaysia Board of Technologists: Normal Member (2018)
  • International Society of Applied Intelligence: Member (2017)

Recent Notable Publications

1.

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

2.

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

3.

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

4.

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

5.

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

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.

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

8.

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

9.

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

10.

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

11.

Evelyn Yeap Ewe Lin; Lim Kok Cheng; Farhaniza Bte Ghazali; Husni Bte. Mohd Radzi; Chong Seng Tong. A Systematic Literature Review On The Use Of Digital Technologies In Outdoor Education. 2024 Ieee International Conference On Computing (Icoco) (Dec 2024). Conference Proceeding. Cited: SCOPUS

12.

Lim Kok Cheng. Transformer-Based Model For Malicious Url Classification. 2023 Ieee International Conference On Computing (Icoco 2023) (Dec 2023). Conference Proceeding. Cited: Indexing In Progress

13.

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

14.

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

15.

Nor Zakiah binti Gorment; Lim Kok Cheng. Machine Learning Algorithm For Malware Detection: Taxonomy, Current Challenges And Future Directions. Ieee Access (Mar 2023). Journal. Cited: ISI

16.

Evelyn Yeap Ewe Lin; Lim Kok Cheng; MASYURA BINTI AHMAD FAUDZI; MOHD HAZLI BIN MOHAMED ZABIL; Ridha Bin Omar. A Systematic Review On English Language E-Learning Technologies. 2022 Ieee International Conference On Computing (Icoco) (Mar 2023). Conference Proceeding. Cited: SCOPUS

17.

Lim Kok Cheng. Imbalanced Classification Methods For Student Grade Prediction: A Systematic Literature Review. Ieee Access (Nov 2022). Journal. Cited: ISI

18.

Lim Kok Cheng. Improving Class Imbalance Detection And Classification Performance: A New Potential Of Combination Resample And Random Forest. 2022 Ieee International Conference On Computing (Icoco) (Sep 2022). Conference Proceeding. Cited: SCOPUS

19.

Lim Kok Cheng. Malicious Url Detection With Distributed Representation And Deep Learning. Frontiers In Artificial Intelligence And Applications (Sep 2022). Conference Proceeding. Cited: SCOPUS

20.

Lim Kok Cheng. Malicious Url Detection With Distributed Representation And Deep Learning. The 21Th International Conference On Intelligent Software Methodologies, Tools, And Techniques (Somet 2022) (Sep 2022). Conference Proceeding. Cited: Indexing In Progress