Staff Directory

Hasan Firdaus Bin Mohd Zaki

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 (Dr.)

Assistant Professor
IIUM Gombak Campus


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

INDUSTRIAL AUTOMATION 2022/2023 2020/2021 2019/2020 2018/2019 2017/2018
INTEGRATED DESIGN PROJECT 2019/2020 2018/2019 2017/2018
Intelligent Control 2019/2020
INTERGRATED DESIGN PROJECT 2020/2021 2019/2020 2018/2019
MACHINE VISION 2022/2023 2020/2021 2018/2019
MECHATRONICS ENGINEERING LAB II 2022/2023 2020/2021 2019/2020 2018/2019 2017/2018
PROJECT 1 2020/2021 2019/2020 2018/2019
Project II 2021/2022 2020/2021 2019/2020
SEMINAR 2017/2018

Research Projects

2021 - 2021 AI-Based E-Nose for VOC Detection
2018 - 2021 Smart Robot-Assisted Evacuation
2018 - 2020 Service Between Delloyd R&D Sdn. Bhd., IIUM for CREST I-Grasp Process
2018 - 2021 Predicting Safe Landing Area for Drones Using Fully Convolutional Neural Network
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.
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
2020 - Present Industry@University: 4IR Competence Centre
2019 - Present Modelling Facial Point Cloud Video as Novel Biometric Using 4D Deep Neural Network for Driver Drowsiness Detection
2019 - Present Investigation of the correlation between thermal pattern from multi-view face images and the affective states of ASD children (Project 1)
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



2022 Effect of color contrast to the accuracy of SSD-MobileNetV2. International Journal of Intelligent Systems and Applications in Engineering, 10 (3) pp. 18-21
2022 Efficient region of interest based metric learning for effective open world deep face. IEEE Access, 10 () pp. 1-17
2022 Incremental learning of deep neural network for robust vehicle classification. Jurnal Kejuruteraan (Journal of Engineering), 34 (5) pp.
2021 Rethinking environmental sound classification using convolutional neural networks: optimized parameter tuning of single feature extraction. Neural Computing and Applications, () pp. 1-19
2020 Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation. Journal of the Society of Automotive Engineers Malaysia, 4 (1) pp. 61-72
2020 Pavement condition analysis via vehicle mounted accelerometer data. IIUM Engineering Journal, 21 (1) pp. 73-84
2020 Software optimization of vision-based around view monitoring system on embedded platform. Journal of the Society of Automotive Engineers Malaysia, 4 (1) pp. 73-81
2020 Towards the implementation of energy harvesting for IoT sensor nodes in an early warning flood detection system. Journal of Communications, 15 (5) pp. 398-405
2019 Frequency interval model reduction of complex FIR digital filters. Numerical Algebra, Control & Optimization, 9 (3) pp. 319-329
2019 Viewpoint invariant semantic object and scene categorization with RGB-D sensors. Autonomous Robots, 43 (4) pp. 1005-1022
2018 Benchmark data set and method for depth estimation from light field images. IEEE Transactions on Image Processing, 27 (7) pp. 3586-3598
2018 Vision-based lane departure warning system. Journal of the Society of Automotive Engineers Malaysia, 2 (2) pp. 166-176
2017 Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition. Robotics and Autonomous Systems, 92 () pp. 41-52
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),