Staff Directory
![Hasan Firdaus Bin Mohd Zaki](https://xcess.iium.edu.my/packages/card/printing/camera/uploads/original/8293.jpeg)
Academic Qualification
- Doctor of Philosophy in Mechatronics Engineering - Doctor of Philosophy, University of Western Australia
- Master of Engineering - Masters Degree, Universiti Malaya (UM)
Hasan Firdaus Bin Mohd Zaki (Assoc. Prof. Dr.)
Associate Professor
IIUM Gombak Campus
KULLIYYAH OF ENGINEERING
hasanzaki@iium.edu.my
3312
Expert Profile
Dr. Hasan Firdaus Bin Mohd Zaki, an esteemed associate professor and academic advisor at the International Islamic University Malaysia, specializes in computer and robotic vision, deep learning for robotic applications, and unmanned technologies. His academic credentials include a Ph.D. in Computer Science (Computer Vision) from the University of Western Australia, a MEng in Mechatronics from the University of Malaya, and a BEng (Hons) in Mechatronics from IIUM. He has made significant contributions through his leadership as the Head of Embedded AI at CUTe and has a rich portfolio of internationally refereed publications. His research focuses on advanced computational models for a variety of applications, including autonomous surface vessels, advanced driver assistance system, vision-based automated manufacturing defect detection and volatile organic compounds gas recognition. A dedicated educator and mentor, Dr. Hasan has supervised numerous Ph.D. and Master's students and led workshops on deep learning and computer vision, demonstrating a profound impact on both academia and industry in the field of engineering and technology. Hasan is extensively involved with industries and government agencies as a consultant and subject matter expert. Notable collaborators include KDN, MIMOS Bhd., Delloyd R&D, Malaysia Space Agency (MySA), Prostrain Technologies, MARii, Hidrokinetik Technologies, WNF Resources, among others.
Professional Membership
- 2018: Member of Profesional Body / Association: (Graduate Engineer), Board of Engineers Malaysia
- 2020: Member of Profesional Body / Association: (member), The Institution of Engineering and Technology
- 2021: Member of Profesional Body / Association: (Graduate Technologist), Lembaga Teknologis Malaysia
- 2021: Member of Profesional Body / Association: (Professional Technologist ), Lembaga Teknologis Malaysia
Teaching Responsibilities
COMPUTATIONAL INTELLIGENCE | 2024/2025 2023/2024 2022/2023 |
DEEP LEARNING | 2023/2024 |
ENGINEERING INDUSTRIAL TRAINING | 2017/2018 |
INDUSTRIAL AUTOMATION | 2023/2024 2022/2023 2020/2021 2019/2020 2018/2019 2017/2018 |
INTEGRATED DESIGN PROJECT | 2019/2020 2018/2019 2017/2018 |
INTELLIGENT CONTROL | 2024/2025 2023/2024 2019/2020 |
INTELLIGENT SYSTEMS | 2019/2020 |
INTERGRATED DESIGN PROJECT | 2020/2021 2019/2020 2018/2019 |
MACHINE VISION | 2024/2025 2023/2024 2022/2023 2020/2021 2018/2019 |
MECHATRONICS CONTROL AND AUTOMATION LAB | 2023/2024 |
MECHATRONICS ENGINEERING LAB I | 2017/2018 |
MECHATRONICS ENGINEERING LAB II | 2023/2024 2022/2023 2020/2021 2019/2020 2018/2019 2017/2018 |
PROJECT 1 | 2023/2024 2020/2021 2019/2020 2018/2019 |
PROJECT II | 2023/2024 2021/2022 2020/2021 2019/2020 |
SEMINAR | 2017/2018 |
Supervision
Probabilistic Path Planning For A Six Degree-Of-Freedom Articulated Robot In An Industrial Dynamic Environment Using Simultaneous Localization And Mapping (Slam).
Ph.D
Completed
2024
Co-supervisor
|
Deep Neural Network Model For Open World Rgb-D Face Recognition
.
Ph.D
In Progress
Main Supervisor
|
Development Of Autonomous Radiation Mapping System For Gamma Radiation.
Ph.D
In Progress
Co-supervisor
|
Towards A Robust One-Stage Detector Against Adversarial Challenges For Automated Number Plate Recognition System.
Ph.D
In Progress
Co-supervisor
|
Full Hand Pose Recognition Under Dexterous Articulation In Daily Activities For Tele-Rehabilitation.
Ph.D
In Progress
Co-supervisor
|
Egocentric Object Detection Using Cnn For Unmanned Surface Vessel Situational Awareness In Near Shore Environment.
Ph.D
In Progress
Co-supervisor
|
Implementing Deep Learning Based Neural Networks For Autism Spectrum Disorder Diagnosis.
Ph.D
In Progress
Co-supervisor
|
Driver Drowsiness Level Measurement Using Electrocardiogram Signal For Improving Road Safety.
Ph.D
In Progress
Co-supervisor
|
Novel Deep Learning Based Collision Avoidance System For Unmanned Surface Vehicle.
Ph.D
In Progress
Co-supervisor
|
Robust Vehicle Detection And Classification With Incremental Learning For Single-Lane Free Flow Tolling System.
Master
Completed
2023
Main Supervisor
|
Robust Automatic License Plate Recognition (Alpr) System At Low Visibility Using Deep Neural Networks.
Master
Completed
2023
Main Supervisor
|
Robust Deep Learning Based Open World Mask Face Recognition.
Master
Completed
2023
Co-supervisor
|
Sensor Response Analysis, Feature Extraction And Classification Techniques For Volatile Organic Compounds Recognition.
Master
Completed
2022
Main Supervisor
|
Motion Estimation For 1-Channel Around View Monitoring In Advance Driver Assistance System Using Wide Fish-Eye Camera.
Master
Completed
2022
Co-supervisor
|
Study Of Holes Detection Via Vibrational Analysis & Machine Vision In Aero-Composites Structure.
Master
Completed
2022
Co-supervisor
|
Machine Learning-Based Facial Expression Recognition Using Stretchable Strain Sensors For Rehabilitation System.
Master
Completed
2021
Co-supervisor
|
Speech-Based Depression Recognition For Bahasa Malaysia Speakers Using Deep Learning Models.
Master
Completed
2021
Co-supervisor
|
Sound Event Detection System Using A Single Feature Based On Deep Convolutional Neural Networks.
Master
Completed
2020
Co-supervisor
|
Deep Learning-Based Waterline Detection For Autonomous Surface Vessel Navigation.
Master
Completed
2020
Co-supervisor
|
Vision Based Single-Shot Real-Time Ego-Lane Estimation And Vehicle Detection For Forward Collision Warning System.
Master
Completed
2019
Main Supervisor
|
Real Time Lane Detection On Embedded Platform For Advanced Driver Assistance System.
Master
Completed
2019
Co-supervisor
|
Road Surface Cracks Characterization And Classification Based On Machine Learning And Visio.
Master
In Progress
Co-supervisor
|
Monitoring Water Quality Index Of Iium River Using Artificial Intelligence.
Master
In Progress
Co-supervisor
|
Cooperative Multi Robot-Assisted Evacuation Using Hybridisation Of Deep Reinforcement Learning And Fuzzy Logic.
Master
In Progress
Co-supervisor
|
Thermal Energy Forecasting Of A Malaysian ‘Solar Heat For Industrial Process (Ship)’ System Using Liquid Neural Networks With Optimal Parameters.
Master
In Progress
Co-supervisor
|
Research Projects
Completed
2024 - 2024 | Knowledge Transfer Programme: Program Penjana Di Bawah Kementerian Pendidikan Tinggi - Pensijilan Profesional (KPT-PACE) 2023 |
2021 - 2021 | AI-Based E-Nose for VOC Detection |
2020 - 2024 | Industry@University: 4IR Competence Centre |
2019 - 2022 | Modelling Facial Point Cloud Video as Novel Biometric Using 4D Deep Neural Network for Driver Drowsiness Detection |
2019 - 2024 | Investigation of the correlation between thermal pattern from multi-view face images and the affective states of ASD children (Project 1) |
2018 - 2022 | P11C2-17 (SMART DRIVER ASSISTANCE SYSTEM) |
2018 - 2021 | Predicting Safe Landing Area for Drones Using Fully Convolutional Neural Network |
2018 - 2021 | Smart Robot-Assisted Evacuation |
2018 - 2020 | Service Between Delloyd R&D Sdn. Bhd., IIUM for CREST I-Grasp Process |
2017 - 2019 | Development of Advanced Driver Assistance System (Professional Service on Algorithm Design) |
2017 - 2019 | Development Of Advanced Driver Assistance System (System Integration) |
2017 - 2020 | Design and Control of an Ionic Polymer Metal Composite (IPMC) Based Artificial Muscle using Biosignals. |
On-Going
2024 - Present | Kajian Kebolehlaksanaan Pembangunan National Border Control System (NBCS) |
2023 - Present | A Zero-Shot Learning Model of 4D Point Cloud for Dynamic Object Recognition in Maritime Environment |
2023 - Present | Development of Comprehensive Training Modules on Practical Deep Learning and Autonomous Robotics |
2023 - Present | Analyzing Cloud Point of Multicomponent Hydrocarbon Mixture Using Raman Spectroscopy |
2023 - Present | Formulation of Associating 4D Skeletal-based Hand Gesture Recognition with Hand Rehabilitation Scoring of Stroke Patient for Rehabilitation Internet-of-Things (RIOT) |
2023 - Present | Formulation of Hybrid Deep Reinforcement Learning and Fuzzy Logic for Multi-Robot Cooperative Building Emergency Evacuation |
2022 - Present | "CXSense System For SURAYA Unmanned Surface Vessel Fleet" |
2022 - Present | Vision Inspection System for Door Mirror Painting Defect Detection and Analysis |
2021 - Present | A New Algorithm based on Convolutional Neural Network and Pixel-Level Segmentation for Pavement Crack Characterization |
2021 - Present | The Development of the Medical Assistance Robot, MediBOT |
2018 - Present | Deep Neural Network Model for River Hydromorphology Characterization from Aerial Photogrammetry Point Cloud |
2017 - Present | Development of Advanced Driver Assistance System (Algorithm Design) |
2017 - Present | Deep Learning for Arabic Handwriting Recognition |
2017 - Present | Development of A Modular, Scalable System of Adas Simulator |
2017 - Present | Development Algorithms for Adas Functions Based on Camera Sensors |
Publications
Article
Conference or Workshop Item
2021 | Detection of low PPM of volatile organic compounds using nanomaterial functionalized reduced graphene oxide sensor. In: Proceedings of the 2nd Physics and Materials Science International Symposium (PhyMaS 2.0), |
2020 | Car detection using cascade classifier on embedded platform. In: 7th International Conference on Mechatronics Engineering, ICOM 2019, |
2020 | Deep learning-based water segmentation for autonomous surface vessel. In: 10th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing, |
2020 | Motion estimation on homogenous surface for around view monitoring system. In: "7th International Conference on Mechatronics Engineering, ICOM 2019", |
2017 | Modeling sub-event dynamics in first-person action recognition. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), |
2016 | Convolutional hypercube pyramid for accurate RGB-D object category and instance recognition. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), |
2016 | Modeling 2D appearance evolution for 3D object categorization. In: 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), |
2015 | Localized deep extreme learning machines for efficient RGB-D object recognition. In: 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), |