Dr. Tan Weng Chun (Jason) is a Course Director for STEM courses at Coventry University @ PSB Academy and brings with him years of teaching experience which includes supervising undergraduate and postgraduate engineering students.  With extensive experience in education and research, he also actively contributes as a reviewer for several reputable journals and conferences.   As an applied researcher, Jason’s field of research focuses on innovative medical image segmentation techniques and classification systems, which includes agriculture and machine vision projects.  With a deep interest in the field of technology, he specialises in machine learning within data analysis and the Internet of Things (IoT).

As a passionate educator, Dr. Jason remains committed to his core mission - to empower and inspire the next generation of learners.

Educational Qualifications

• Doctor of Philosophy, Universiti Sains Malaysia (USM), Malaysia, 2019.
• Bachelor of Mechatronic Engineering with Honours, Universiti Teknikal Malaysia Melaka (UTeM). 2013.

Professional Experiences

• Lecturer, PSB Academy, March 2024 - Present
• Senior Lecturer, Tunku Abdul Rahman University of Management and Technology (TARUMT), 2020 – 2024
• Post-Doctoral, University Tenaga Nasional (UNITEN), August 2020 – November 2020
• Data Scientist, Magicsoft Asia Systems Pte Ltd – July 2019 - December 2019

Awards & Recognition

• I-CPEX 2024 Silver Award in Data Analytics/AI applications
• Champion and 1st Runner-up of Product Design Exhibition (ProDEx), TARUMT 2023

Research Interests

• Medical Image Classification
• Machine Vision
• Agricultural Classification
• Neural Network
• RFID and Internet-of-Things (IoT)
• Machine Learning

Selected Publications & Research

• Kent, O.W., Chun, T. W., Choo, T.L. and Kin, L.W., 2023. Early symptom detection of basal stem rot disease in oil palm trees using a deep learning approach on UAV images. Computers and Electronics in Agriculture, 213, p.108192
• Tan, W. C. and Sidhu, M.S., 2022. Review of RFID and IoT integration in supply chain management. Operations Research Perspectives, p.100229.
• Tan, W. C. and Mat Isa N. A. 2016. Automated Sperm Head Detection Using Intersecting Cortical Model Optimised by Particle Swarm Optimization. PLoS ONE 11(9): e0162985. doi:10.1371/journal.pone.0162985
• Tan, W. C., Mat Isa, N.A. & Mohamed, M. 2020. Automated human sperm tracking using mean shift-collision detection and modified covariance matrix method. Multimed Tools Appl. https://doi.org/10.1007/s11042-020-09396-2
• Tan, W. C., 2021. Survey of RFID-IoTin Supply Chain Management. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(3), pp.1754-1762.

 Research Impact

• ResearchGate - https://www.researchgate.net/profile/Weng-Chun-Tan
• ORCiD - https://orcid.org/my-orcid?orcid=0000-0003-3832-9592