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Dr Wan Zailah Wan Said

Lecturer | Department of Mechanical Engineering

Academic Qualifications

Ph.D. (Electrical, Electronic and System Engineering)
MEng Communication and Computer
BEng (Hons) Electronic and Instrumentation Systems,
Diploma In Electronic Engineering

Areas of Interest
Digital Image Processing Techniques for image Detection & localization using Machine Learning & Machine Vision.
Soft Computing/Artificial Intelligent.
Waste Monitoring based on imaging for AI.
Microwave Imaging approach for AI.
Water Turbidity Analysis based on imaging.
Palm Fruit Segregation Technology
An unattended child detection (Public Safety)
Professional Bodies

  1. Board Engineer Malaysia, BEM - Graduate Engineer,85029A 
  2. Institute Engineer Malaysia, IEM - Graduate, 64616 
  3. MBOT Malaysia Graduate Technologist. GT23010196 
  4. The IEEE Robotics and Automation Society’s (IEEERAS) Malaysia - (Executive Committee 2026 – Vice Chair)

Collaboration & Funding Opportunities

  • The research targets real industrial challenges through AI-driven image processing applications in smart healthcare (microwave-based diagnostics), agriculture, and public safety, wastewater monitoring system, delivering cost-effective, high-performance, and sustainable solutions.
  • Sponsored Research; Joint Ventures, System Testing and Validation Collaboration.

Research

  • Principle Investigator PI, “Image Processing Technique Using Feature Extraction for Palm Fruit Intelligent System. Funded by UCSI University via Research Excellence & Innovation Grant (REIG-FETBE-2021/021) - 2025
  • Co-Researcher, “Prototyping Smart Domestic Food Waste Composter Incorporated with Internet-of-Things (IoT)”. Funded by UCSI University via Research Excellence & Innovation Grant (REIG-FETBE-2021/026) - 2024

Publications

  1. Wan Zailah Wan Said, Mohamed Ayman Mardini, Noor Idayu Mohd Tahir, Norsuzlin Mohd Sahar, Mohammad Tariqul Islam, Noorazlina Mohamid Salih, Mohd Fauzi Zanil.2024. Optimization of Artificial Neural Networks using Genetic Algorithm for Palm Fruit Ripeness Classification. Journal of Advanced Research in Applied Sciences and Engineering Technology (ARASET) (Accepted) (Q4)- (Indexed in Scopus).
  2. Wan Zailah Wan Said, Gan B. J. Y., Leong H. Y., Norsuzlin Mohd Sahar, Mohammad   Tariqul Islam 2022. Vision-based Inspection of PCB Soldering Defects. Jurnal Kejuruteraan UKM 34(5):807-817, (Indexed in Scopus) 
  3. Wan Zailah Wan Said, Mahmud Iwan Solihin, Lee Shen Wei, Chun Kit Ang 2019.Handshape Recognition Using Correlation Filter and Euclidean Distance. Journal of Computer Science & Computational Mathematics 9(1):11-16
  4. Teh Boon Hong, Sarah Atifah Saruchi, Ain Atiqa Mustapha, Nor Aziyatul Izni, Wan Zailah Wan Said, Noor Idayu Mohd Tahir, 2024. Automated kitchen waste segregation system via convolutional neural network. International Journal of Computational Vision and Robotics. (Indexed in Scopus)
  5. Mohamed Yasser, Mahmud Iwan Solihin, Winda Astuti, Chun Kit Ang, Wan Zailah Wan Said.2019. Food powders classification using handheld Near-Infrared Spectroscopy and Support Vector Machine. Journal of Physics Conference Series 1367(1):012029. (Indexed in Scopus).
  6. Comparative Study of Different YOLO Variants for Ripeness Detection of Palm Oil Fresh Fruit Bunches; Alvi Khan Chowdhury, Sarah ’Atifah Saruchi, Wan Zailah Wan Said, Ateeq Ul Rehman, Louis Gautama Lie, Nor Aziyatul Izni, Mohammad Saukat Jahan, 2025 IEEE 6th International Conference in Robotics and Manufacturing Automation (ROMA) 20-22 August 2025, Bangi, Selangor, Malaysia, DOI:10.1109/ROMA66616.2025.11155279 
  7. Printed Circuit Board Surface Defect Inspection via YOLOv5 Deep Learning Algorithm, Alvi Khan Chowdhury, Wan Zailah Wan Said, Sarah ’Atifah Saruchi, Jarod Tang Yaowei, Ain Atiqa Mustapha, Cik Suhana Hassan, Abu Syed Mohammed Safwan. 2025 IEEE 6th International Conference in Robotics and Manufacturing Automation (ROMA) 20-22 August 2025, Bangi, Selangor, Malaysia, DOI: 10.1109/ROMA66616.2025.11155284                                                                                                 
  8. Alvi Khan Chowdhury, Wan Zailah Wan Said, Sarah ‘Atifah Saruchi, 2024. Oil Palm Fresh Fruit Branch Ripeness Detection Using YOLOV6 Algorithm. In book: Intelligent Manufacturing and Mechatronics (pp.187-202). (Indexed in Scopus)
  9. Mohamed Mohamed, Elango Natarajan, Wan Zailah Wan Said, Ahamed Khan” Intelligent Water Turbidity System Using IoT’, Conference: ISIA 2023: 2023 International Conference on Intelligent Sensing and Industrial Automation. December 2023. (Indexed in Scopus) 
  10. Teh CA, Wan Zailah Wan Said, Norsuzlin Mohd Sahar, Mohammad Tariqul Islam, 2021.Image Reconstruction Technique Using Radon Transform” Lecture Notes in Electrical Engineering, Springer. In book: Technological Advancement in Instrumentation & Human Engineering (pp.735-754). 
  11. Gan J.L, Wan Zailah Wan Said, Water Level Classification for Flood Monitoring System Using Convolutional Neural Network, January 2021 Lecture Notes in Electrical Engineering, DOI:10.1007/978-981-15-5281-6_21,In book: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 (pp.299-318)
  12. Vision-based Inspection of PCB Soldering Defects (Pemeriksaan Berasaskan Penglihatan terhadap Kecacatan Pematerian PCB)  Zailah, Wan, Gan, B.Y.J.a, Leong, H.Y.b, Norsuzlin Mohd Saharc, Mohammad Tariqul Islam Jounal of Engineering (UKM) _ 2021 Sept 2022)
  13. Image Reconstruction Technique Using Radon Transform Teh Chia Ai1, Wan Zailah binti Wan Said1, Norsuzlin Mohd Sahar2 and Mohammad Tariqul Islam3,In book: Proceeding of the International Conference On Mechanical Engineering Research(ICMER 2021)2022
  14. J. L. Gan, W. Zailah Water Level Classification for Flood Monitoring System Using Convolutional Neural Network, January 2021. In book: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019. DOI: 10.1007/978-981-15-5281-6_21
  15. Mohamed Yasser Mahmud Iwan Solihin Winda Astuti Wan Said, Food powders classification using handheld Near-Infrared Spectroscopy and Support Vector Machine. November 2019 Journal of Physics Conference Series 1367:012029 Follow journal. DOI: 10.1088/1742-6596/1367/1/012029. Licenses BY 3.0,Project: Food Powder Classification Using Handheld NIR Spectroscopy Combined with Machine Learning-based Calibration. Wan Zailah Wan Said Mahmud Iwan Solihin Shen Wei Lee Chun Kit Ang,Handshape Recognition Using Correlation Filter and Euclidean Distance,March 2019
  16. Image extraction and data collection for solid waste bin monitoring system. January 2012 Journal of Applied Sciences Research 8(8):3908-3913 Follow journal. Project: Intelligent Solid Waste monitoring and Management for SmartCity/SmartVillage
  17. M. A. Hannan, Wan Zailah Wan Said Image Acquisition for Solid Waste Bin Level Classification and Grading,January 2012Journal of Applied Sciences Research. Wan Zailah Wan SaidM. A. Hannan Md. Abdulla Al Mamun
  18. Wan Zailah Wan Said, M. A. Hannan, Mamun Md. Abdulla Al Mamun. Feed Forward Neural Network for Solid Waste Image Classification. January 2012 Research Journal of Applied Sciences, Engineering and Technology 5(4) Follow journal. DOI: 10.19026/rjaset.5.4889

Awards and Recognitions

  • IEEE: Outstanding Financial Stewardship Award. (2025) IEEERAS
  • IEEE: Awards & Recognitions: Team Leadership Excellence Award (IEEERAS) 2024
  • Gold Award Eng,Sc and Tech Exh. 2022, MAHSA
  • Bronze Medal at PRiIN2022, UKM: Smart Aquaponic System with Power Saving Feature
  • Bronze Medal Award: Co-Principle Investigator_PECIPTA2022:  Intelligent Kitchen Waste Segregation System Via Deep Learning

Editorial Board

  • 2025 IEEE 6th International Conference on Robotics and Manufacturing Automation:
  • Treasurer Chair, Session Chair & Reviewer

 

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