APPLY NOW Apply NowUCSI Radio UCSI Radio
Faculty of Engineering Technology & Built Environment
Faculty of Engineering, Technology & Built Environment

Connect with us

Research Impact:
Google Scholar
Research Gate
WoS
Scopus

Wan Zailah Wan Said

Lecturer | Department of Mechanical Engineering

Academic Qualifications

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
Professional Bodies

  1. Board Engineer Malaysia, BEM – Graduate Engineer,85029A 
  2. Institute Engineer Malaysia, IEM-Graduate, 64616 
  3. MBOT Malaysia Graduate Technologist. GT23010196 
  4. IEEE RAS Malaysia – Executive Member 2023 

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) 

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) 

Publications

1. 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 

 

2. 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 

 

3. J. L. Gan,W. Zailah 

Water Level Classification for Flood Monitoring System Using Convolutional Neural Network,January 2021 

DOI: 10.1007/978-981-15-5281-6_21 

In book: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019. 

 

4. Mohamed Yasser Mahmud Iwan Solihin Winda Astuti Wan Said 

Food powders classification using handheld Near-Infrared Spectroscopy and Support Vector Machine 

November 2019Journal 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 

 

5. Wan Zailah Wan Said Mahmud Iwan Solihin Shen Wei Lee Chun Kit Ang 

Handshape Recognition Using Correlation Filter and Euclidean Distance 

March 2019 

 

6. M. A. Hannan, Wan Zailah Wan Said 

Image extraction and data collection for solid waste bin monitoring system 

January 2012Journal of Applied Sciences Research 8(8):3908-3913 Follow journal 

Project: Intelligent Solid Waste monitoring and Management for SmartCity/SmartVillage 

 

7. 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 

 

8, Wan Zailah Wan Said, M. A. Hannan, Mamun Md. Abdulla Al Mamun 

Feed Forward Neural Network for Solid Waste Image Classification 

January 2012Research Journal of Applied Sciences, Engineering and Technology 5(4) Follow journal 

DOI: 10.19026/rjaset.5.4889 

Awards and Recognitions

1. Gold Award Eng,Sc and Tech Exh. 2022, MAHSA

2. Bronze Medal at PRiIN2022, UKM:
Smart Aquaponic System with Power Saving Feature

3. Bronze Medal Award:
Co-Principle Investigator_PECIPTA2022:Intelligent Kitchen Waste Segregation System Via Deep Learning

Course Enquiry