Our Faculty

• Ph.D. in Electrical Engineering, Kanazawa University, Japan
• Master in Telecommunications and Information Engineering, Universtity Teknology MARA, Malaysia
• Bachelor’s Degree in Electrical, Electronic, and Systems Engineering , Universiti Kebangsaan Malaysia, Malaysia

• Internet of Things (IoT)
• Speech & Sound Processing
• Sensor Technology & Optical Communication
• Smart Systems & Machine Learning
• Deep Learning & Computer Vision

Research Grant

• Internal Research Grant :
  • Title : Design and prototype development of a low-cost face-touch prevention wearable for use
    during pandemic like Covid-19.
  • Value : RM 10 000
  • Duration: 1 Feb 2020 – 30 Jan 2022 (Completed)
  • Role: Lead Researcher
• National Grant – Fundamental Research Grant Scheme (Ministry of Higher Education Malaysia)
  • Title : Fundamental study on tuning the intrinsic electronic state of 2D MoS2 to modulate the
    design of chemiresistor hydrogen sensor via optical fiber transducer.
  • Value : RM76500
  • Duration: 1 Oct 2023 – 30 Sep 2025 (ongoing)
  • Role: Lead Researcher

PhD Student Supervision

• Design and Evaluation of an E-Learning Model for Elderly People in Palestine (2022)
• Combining Different Approaches to Improve Arabic Sound Classification by Transfer Learning
  techniques (2022)
• Detection of Bone Abnormalities in X-Ray Images Using Deep Learning (2021-Graduated)
• Identification and Classification of Encryption Algorithms using Deep Learning (2021-Graduated)
• Spine Hemangioma Tumor Image Enhancement and Segmentation using Convolutional Neural Network Method (2021- Graduated)
• A Novel Approach to E-Hailing Dynamic Pricing Model Through Supervised Machine Learning-Based Classification and Regression Trees (2020- Graduated)

1. AJM IM, NAM Lazam, B Alaa, NE Ruslan, SMS Hilles, SS Abu-Naser, “Spine Tumor Segmentation using Deep Learning: A Review”, Journal of Advanced Research Design 136 (1), 179-206
2. AM IM, NORABMD LAZAM, S JAWARNEH, MS HILLES, A ALTRAD, “Efficient MRI Segmentation of Spine Hemangiomas: A Novel Modified U-NET Approach to Enhance Tumor Boundary Detection”, Journal of Theoretical and Applied Information Technology 103 (6)
3. N. A. M. Lazam and M. N. Qureshi, “Optimisation and Cross-Validation of Hybrid Pricing Algorithm using SL’s CART Model for E-Hailing,” in Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 54, no. 1, Dec. 2025.
4. N. A. M. Lazam and M. N. Qureshi, “Optimisation and cross-validation of an e-hailing hybrid pricing algorithm using a supervised learning classification and regression tree model: a heuristic approach,” in Journal of King Saud University-Science, vol. 36, no. 3, pp. 102–107, Mar. 2024.
5. M. N. Abdullah, C. J. Zhen, and N. A. M. Lazam, “Enhancing the development of Android vehicle license plate recognition system via mobilenet SSD,” in AIP Conference Proceedings, 2023.
6. L. Hwang, N. A. M. Lazam, and M. N. Abdullah, “Development of a mobile application for users to learn new hobbies/skills using similarity learning tool (machine learning),” in AIP Conference Proceedings, 2023.
7. S. N. A. Isham, N. A. M. Lazam, and S. A. Rahman, “Firecheck: A multi-sensor fire detection and monitoring system application for home,” in AIP Conference Proceedings, 2023.
8. M. N. Qureshi, N. A. M. Lazam, and A. B. Jalil, “A novel pricing algorithm using supervised machine learning for Malaysia’s E-hailing,” in AIP Conference Proceedings, 2023.
9. S. A. Idris, N. A. M. Lazam, et al., “Smart Health Monitoring Wristband with Auto-Alert Function,” in 2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA), 2022.
10. N. A. M. Lazam, S. A. Suhaimi, N. F. Azman, and S. A. Idris, “Design and Prototype Development of a Low-Cost Face Touch Prevention Wearable for COVID-19,” in Proceedings of the International Conference on Science, Health, and Technology, 2022.

• Board of Engineer Malaysia (BEM), Graduate Engineer (152919A)