Muhammad Syafiq Mohd Pozi

Muhammad Syafiq Mohd Pozi

Senior Lecturer of Artificial Intelligence

Universiti Utara Malaysia

Biography

Muhammad Syafiq Mohd Pozi is a senior lecturer of artificial intelligence at the Data Science Research Lab, Universiti Utara Malaysia. His research interests include theoretical and applied machine learning, computational linguistics and information retrieval.

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Interests
  • Machine Learning
  • Imbalanced Learning
  • Information Retrieval
Education

  • PhD in Intelligent Computing, 2016

    Universiti Putra Malaysia

  • Bachelor of Computer Science Honours, 2012

    Kuala Lumpur Infrastructure University College

Recent Publications

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Muhammad Syafiq Mohd Pozi (2026). A Method for Measuring Job Capability Metric for Job Summary Data with Job Candidate Verified Publications.

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Ume Nisa, Muhammad Syafiq Mohd Pozi, Mohamed Ali Saip (2026). A systematic image augmentation framework based on dataset limitations for small object detection. Iran Journal of Computer Science.

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Ume Nisa, Muhammad Shirazi, Mohamed Ali Saip, Muhammad Syafiq Mohd Pozi (2026). Agentic AI: The age of reasoning—A review. Journal of Automation and Intelligence.

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Ume Nisa, Muhammad Syafiq Mohd Pozi, Mohamed Ali Saip (2025). A decade of research in small object detection: a comprehensive bibliometric analysis. International Journal of Data Science and Analytics.

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Muhammad Syafiq Mohd Pozi, Yukinori Sato (2025). A data-augmented model routing framework for efficient LLM deployment in edge--cloud environments. Journal of Supercomputing.

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Projects

Here is the list of projects that I am involved in.

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All Deep Learning Prototype Word Embedding
A Development of a System to Match Job with Past Scholarly Publications
Matching a job based on one’s knowledge and experience is not a straightforward task. However, the degree of difficulty for finding a job that suit each other is increasing dramatically over years. Therefore, a project is proposed to develop a system to match job with past achievements or proven experiences. This project is to provide an automated platform in matching jobs with past achievements or proven experiences to find right job candidates.
Code Prototype
A Development of a System to Match Job with Past Scholarly Publications

Teaching Courses

Courses that I have taught in the past.

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All Machine Learning Undergraduate Postgraduate
Machine Learning
This course is an undergraduate level course. Here, students will learn fundamental concept related to machine learning, as well as its applicability in solving real world problems.
Sep 25, 2021

Contact

  • syafiq.pozi@uum.edu.my
  • School of Computing, Universiti Utara Malaysia, Sintok, Kedah 06010
  • Enter main building and take the stairs to Office 3121 on Floor 3
  • Sunday - Wednesday 8:00 to 17:00
    Thursday 08:00 to 15:30