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

KULLIYYAH OF ENGINEERING


hasanzaki@iium.edu.my
3312


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


ENGINEERING INDUSTRIAL TRAINING 2017/2018
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
INTELLIGENT SYSTEMS 2019/2020
INTERGRATED DESIGN PROJECT 2020/2021 2019/2020 2018/2019
MACHINE VISION 2022/2023 2020/2021 2018/2019
MECHATRONICS ENGINEERING LAB I 2017/2018
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


Completed
2021 - 2021 AI-Based E-Nose for VOC Detection
2018 - 2021 Smart Robot-Assisted Evacuation
2018 - 2022 P11C2-17 (SMART DRIVER ASSISTANCE SYSTEM)
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.
On-Going
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


Publications


Article

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),