Dr Nurul Farah Adilla Zaidi

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Dr Nurul Farah Adilla Zaidi

  • Post-Doctoral Research Fellow
  • School of Engineering
Faculty of Engineering and Technology
Google Scholar ORCID ResearchGate Web of Science
SDGs Focus
Affordable and Clean Energy
Industry, Innovation and Infrastructure
Sustainable Cities and Communities
Climate Action

Biography

Dr Nurul Farah Adilla Binti Zaidi is a Postdoctoral Researcher at the Faculty of Engineering and Technology, Sunway University. She obtained her Bachelor of Engineering in Electronic Systems Engineering from Universiti Teknologi Malaysia (UTM) in 2019, a Master Degree of Technology Management from Yamaguchi University, Japan, in 2022, and a Doctor of Philosophy in Electrical Engineering from Universiti Teknologi Malaysia in 2025.

Her research interest lies at the intersection of artificial intelligence (AI), intelligent sensing, and smart engineering systems. Her research interests include AI-powered sensor technologies, the Internet of Things (IoT), machine learning, intelligent data analytics, and AI-driven engineering applications. She is particularly interested in developing intelligent, data-driven solutions for next-generation smart and sustainable buildings and campuses through the seamless integration of AI, IoT, and advanced sensing technologies.

At Sunway University, she supports research initiatives on Building Energy Management Systems (BEMS) towards achieving Net Zero Carbon buildings, with a broader vision of extending intelligent energy management strategies across campus-scale environments. Her work contributes to the development of sustainable, energy-efficient, and occupant-centric built environments by leveraging AI-enabled predictive analytics, real-time monitoring, and smart automation technologies.

She also has received several prestigious international scholarships and academic awards in recognition of her academic excellence and research potential. These include the Canada-ASEAN Scholarships and Educational Exchanges for Development (SEED) 2023-2024, the Japanese Government (MEXT/Monbukagakusho) Scholarship, the JICA Innovative Asia Scholarship, and the UTM Nexus Scholarship. These awards have enabled her to undertake international research collaborations and strengthen her expertise in AI, smart sensing technologies, and sustainable engineering systems.

Her long-term research vision is to advance intelligent and sustainable digital ecosystems by integrating artificial intelligence, IoT, and data-driven technologies to improve building performance, optimise energy consumption, reduce carbon emissions, and enhance the quality of life within smart cities and future intelligent campuses.

Academic & Professional Qualifications

  • Doctorate - Electrical Engineering (2025)
  • Master - Technology Management, Yamaguchi University, Japan (2022)
  • Bachelor - Electronic Systems Engineering, UTM, Malaysia (2019)

Research Interests

  • Artificial intelligence (AI)
  • Fiber Optic Sensor Technologies
  • Intelligent Sensor Systems
  • Internet of things (IoT)
  • Building Energy Management Systems
  • Smart Buildings
  • Net Zero Carbon Technologies

Teaching Areas

  • Artificial Intelligence
  • Machine Learning
  • Internet of Things
  • Sensor and Instrumentation Systems
  • Fiber Optic Sensor and Optical Sensing Technologies
  • Electrical and Electronic Engineering

Notable Publications

  1. 2025 - Zaidi, N. F. A., Noor, M. Y. M., Saris, N. N. H., Ambran, S., Saimon, S. M., Iqbal, F.,
    Azizan, A., & Leonardy, J. (2025). Optimized Selectivity in No-Core Fiber Sensors for
    High Refractive Index Detection. Physica Scripta, 100(8), 085526. (WoS Q2)
  2. 2025 - Zaidi, N. F. A., Noor, M. Y. M., Saris, N. N. H., Ambran, S., Azizan, A., & Leonardy,
    J. (2025). Comparative analysis of machine learning algorithms for wide-range
    refractive index classification in multimode interference no-core fiber sensors.
    Presented at 2025 11th Liga Ilmu Serantau (LIS) Conference.
  3. 2025 - Zaidi, N. F. A., Noor, M. Y. M., Saris, N. N. H., Ambran, S., Saimon, S. M., Iqbal, F.,
    & Azizan, A. (2025). Hybrid Non- and Multi-Self-Imaging NCF MMI Structure for LRI
    and HRI Fiber Sensing. IEEE Sensors Journal, 25(19), 36156-36163. (WoS Q1)
  4. 2025 - Ooi, W. L., Hamzah, A., Mohamad, N., Saris, N. N. H., Rosol, A. H. A.,
    Zaidi, N. F. A., Azzahari, N. & Harun, S. W. (2025). Ab initio Density Functional
    Theory Calculation of Molybdenum Gallium Carbide as a Saturable Absorber in Pulsed
    Fibre Laser. In 10th International Conference on Advanced Technology and Applied
    Sciences (ICATAS 2025) (pp. 1-2). Arab Academy for Science, Technology & Maritime
    Transport. (SCOPUS)
  5. 2025 - Zaidi, N. F. A., Noor, M. Y. M., Saris, N. N. H., Salim, M. R., Ambran, S., Azizan, A.,
    Ibrahim, R. K. R., Ahmad, F., Daud, N. A., Ali, N., Nawawi, N. M., Yulianti, I., & Peng,
    G.-D. (2025). AI-Powered MMI Fiber Sensors for Wide-Range Refractive Index
    Detection Using Neural Networks Algorithm. Optical Fiber Technology, 90, 104113.
    (WoS Q2)
  6. 2025 - Leonardy, J., Salim, M. R., Noor, M. Y. M., Azizan, A., Manap, H. B., Zaidi, N. F. A.,
    & Tresna, W. P. (2025). Effect of surrounding refractive index changes on amplitude
    response in MMI-based fiber optic sensors. In 2025 IEEE 8thInternational Conference
    on Electrical, Control and Computer Engineering Systems (InECCE) (pp. 515-518).
    IEEE. (SCOPUS)
  7. 2025 - Zaidi, N. F. A., Noor, M. Y. M., Saris, N. N. H., Ambran, S., Azizan, A., Zainuddin, A.,
    Iqbal, F., & Wan Hassan, W. H. (2025). Optimizing Machine Learning Approaches for
    Multimode Interference Fiber Sensors: Classification vs. Regression in Wide Range
    Refractive Index Detection. Physica Scripta, 100(7), 076008. (WoS Q2)
  8. 2024 - Zaidi, N. F. A., Saris, N. N. H., Noor, M. Y. M., Salim, M. R., & Ambran, S. (2024).
    Diameter Optimization of No-Core Fiber for High Refractive Index Sensing.
    ELEKTRIKA – Journal of Electrical Engineering, 23(2), 136-143. (MyCite)
  9. 2024 - Zaidi, N. F. A., Saris, N. N. H., Noor, M. Y. M., Salim, M. R., Ambran, S., Ahmad, F.,
    & Othman, M. (2024). Investigation of trench no-core fiber sensor for high refractive
    index sensing. In 2024 14th International Conference on System Engineering and
    Technology (ICSET) (pp. 108-112). IEEE. (SCOPUS)
  10. 2024 - Zaidi, N. F. A., Saris, N. N. H., Noor, M. Y. M., Salim, M. R., Ambran, S., & Othman,
    M. (2024). Computational analysis of no core fiber sensor for detecting aging traces in
    transformer oil. In 2024 IEEE International Conference on Advanced Telecommunication and Networking Technologies (ATNT) (pp. 1-4). IEEE. (SCOPUS)
  11. 2024 - Zaidi, N. F. A., Saris, N. N. H., Noor, M. Y. M., Ambran, S., Salim, M. R., & Ibrahim,
    M. H. (2024). Investigation of Transformer Oil Aging Using No-Core Optical Fiber
    (NCF) Sensor. Physica Scripta, 99(9), 095507. (WoS Q2)
  12. 2023 - Zaidi, N. F. A., Saris, N. N. H., Noor, M. Y. M., Salim, M. R., & Ambran, S. (2023).
    Simulation of multiple optical fiber structures as refractive index sensor. In 2023 IEEE
    21st Student Conference on Research and Development (SCOReD) (pp. 352-355).
    IEEE. (SCOPUS)

Achievements & Accolades

Research and Innovation

  1. Gold Award - Best Innovation Project, International Development Research & Innovation Virtual Exhibition (IDrive), 2024
  2. Silver Award - Best Poster Presentation, Hyper Interdisciplinary Conference in Malaysia (HIVE 5) 2023
  3. Gold Award - IEEE Best Photonic Final Year Project Award, 2019
  4. Gold Award - Best Presentor, 3-Minute Thesis Presentation, 2019
  5. Silver Award - Best Capstone Design Project: Smog Smart Window

Scholarship

  1. Canada-ASEAN Scholarship and Educational Exchanges for Development (SEED), 2023-2024
  2. UTM NEXUS Scholarship, 2022
  3. JICA Innovation Asia Scholarship, 2020
  4. Japanese Government (MEXT) Scholarship, 2020

Professional Recognition

  1. Invited Speaker, Malaysia IEEE Photonics Lecture Series 2025
  2. Journal Reviewer

Professional Associations

  1. Board of Engineers Malaysia (BEM)