Associate Professor Ts. Dr. Fathinul Syahir bin Ahmad Sa’ad
fathinul@unimap.edu.my
Position
Associate Professor
Expert Area
Image & Signal Processing
Professional Appointments
Sept 2007 – Present
Senior Lecturer
Universiti Malaysia Perlis
Jan 2005 – Aug 2007
Senior Researcher
Telekom Research and Development
Education
2017
Universiti Malaysia Perlis
Ph.D in Mechatronic Engineering, UniMAP
2006
Universiti Sains Malaysia
M.Sc Electrical & Electronic Engineering, USM
2002
Universiti Malaya
B.Sc Computational Physics & Electronic
Awards & Recognition
2018
Professional Technologist
2009
Anugerah Perkhidmatan Cemerlang UniMAP
Research Grants
2021
Project Leader
Tender Fama HIQ 2: Harumanis Intelligent Quality System
2020
Project Leader
Tender Fama HIQ : Harumanis Intelligent Quality System FAMA
2020
Project Member
Precision Aquaculture : Iot Based Water Quality Monitoring And Prediction System
2020
Project Member
Precision Aquaculture ; Iot Based Water Quality Monitoring And Prediction System
2019
Project Member
A Mathematical Model For Accurate Detection Of Diabetic Retinophaty Via Computer Vision
2019
Project Member
A&Wmon: Air And Water Quality Monitoring Using Multi-Sensory System And Web Of Things For Smart Sustainable Campus
2018
Project Leader
Demand-Driven Innovation Project By Public-Private Research Network (Pprn) - Workshop (2018) PICKLE SYRUP MIXING SYSTEM
2017
Project Leader
Demand-Driven Innovation Project By Public-Private Research Network (Pprn) - Workshop (2017) Grinding, Boiling And Filtering System For Production Of Herbs Juice
2017
Project Member
Ontology-based Modelling of Human Arm Movements for the Representation of Gestural Information, Approved
2016
Project Member
Development of a Rice Seed Identification Machine Vision System Prototype. Approved
2016
Project Leader
Demand-Driven Innovation Project By Public-Private Research Netwokr (Pprn)- Workshop (2016) : 3 In 1 Small Scale Chocolate Machine
2014
Project Leader
Monocular Depth Perception Enhancement using multi-scale Markov Random Field for Biomass-Carbon Stock Assessment
Supervision
Doctor of Philosophy
Master of Science
Final Year Project
2021
Co-supervisor
Classification Of Plant hoppers On Light Trap Using Deep Convolutional Neural Network (Deep CNN)
Mohd Firdaus Ibrahim
Ongoing
2020
Co-supervisor
Investigation to Determine the Correlation of Harumanis Mango Internal Condition with ‘Insidious Fruit Rot (IFR) using Multi-modalities Sensory System Principle and Artificial Neural Network Model
Noor Shazliza Binti Zakaria
Ongoing
2020
Co-supervisor
A Machine Learning-Based Image Reconstruction for Tomography Application
Lee Chau Ching
Ongoing
2019
Co-supervisor
Post-harvest Mangifera Indica L. Quality based on Maturity and Disease Severity
Nurul Syahirah Binti Khalid
Graduated