Dr. Wan Mohd Yaakob Wan Bejuri | Meta Learning | Best Researcher Award 

Dr. Wan Mohd Yaakob Wan Bejuri, Universiti Teknikal Malaysia Melaka, Malaysia

Dr. Wan Mohd Ya’akob bin Wan Bejuri is a dedicated academician and researcher currently serving as Senior Lecturer at the Faculty of Artificial Intelligence and Cybersecurity, Universiti Teknikal Malaysia Melaka (UTeM). With a strong foundation in both mathematical theory and artificial intelligence, he has significantly contributed to the education and research landscape in Malaysia through his persistent commitment to academic excellence and technological innovation. His multidisciplinary involvement in artificial intelligence, machine learning, data analytics, and computational mathematics has led to impactful teaching, collaborative projects, and innovative research outputs. His academic career is marked by an unwavering dedication to nurturing future technologists and advancing intelligent system applications for societal benefit.

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Summary of Suitability: Ts. Dr. Wan Mohd Ya’akob Bin Wan Bejuri – Candidate for Best Researcher Award

Ts. Dr. Wan Mohd Ya’akob Bin Wan Bejuri is an accomplished academic and researcher in the field of Artificial Intelligence, Applied Mathematics, and Cybersecurity, currently serving as a Senior Lecturer at the Faculty of Artificial Intelligence and Cybersecurity, Universiti Teknikal Malaysia Melaka (UTeM). With a strong foundation in Mathematics, Computing, and AI, he has made meaningful contributions to teaching, research, and applied technology development.

Education

Dr. Ya’akob earned his Bachelor’s degree from Universiti Teknologi Malaysia (UTM), followed by a Master’s degree in from the same institution, both with a focus on computer science and intelligent systems. He completed his Ph.D. at Universiti Teknologi Malaysia, where his research integrated advanced artificial intelligence methodologies with real-world application systems. His academic journey is rooted in technical excellence and a progressive transition from foundational computing to complex intelligent technologies.

Experience

With over a decade of teaching and academic experience, Dr. Ya’akob has taught a wide range of undergraduate and postgraduate courses, including Artificial Intelligence, Linear Algebra, Discrete Mathematics, Calculus, and Healthcare Analytics. His pedagogical engagement spans from theory to practice, incorporating workshops and diploma projects to align with industry-relevant skills. He has played an instrumental role in mentoring diploma, bachelor, and master’s students at UTeM. He consistently updates his curriculum to reflect the latest advancements in AI and machine learning. In parallel, he actively contributes to collaborative research as a co-researcher in institutionally and industry-funded projects.

Research Interests

Dr. Ya’akob’s core research interests lie in Artificial Intelligence, Machine Learning, Computer Vision, and Data Analytics. His work emphasizes applied AI, particularly in domains such as biometric authentication, healthcare systems, autonomous navigation, and disaster response technologies. His interdisciplinary research combines theoretical innovation with practical implementation, especially in AI-powered systems for image recognition, pattern classification, and smart analytics. His involvement in drone navigation for agriculture and biometric identification reflects a commitment to AI solutions that address societal and industrial challenges.

Awards and Grants

Dr. Ya’akob has received several notable research grants that demonstrate the relevance and impact of his work. he co-led a UTeM-funded short-term project on developing a quadcopter drone for oil palm ripeness classification using AI-enabled vision systems. he contributed to an industry-funded project on fingerprint and facial identification using enhanced AI algorithms, he co-developed a flood emergency response solution using human activity recognition. These awards collectively amount to over RM 59,800 and highlight his collaborative spirit and capability to drive applied research.

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Conclusion

TS. Dr. Wan Mohd Ya’akob bin Wan Bejuri stands as a strong nominee for the Best Researcher Award due to his dedicated service in the academic and research fields, particularly in artificial intelligence and its practical applications. His educational leadership, consistent publication record, and active participation in innovative research projects reflect his commitment to advancing the AI discipline for educational, industrial, and societal transformation. With a strategic vision for integrating intelligent systems into real-world solutions, Dr. Ya’akob’s research ethos aligns well with the goals of fostering impactful, ethical, and scalable technologies.