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Dr Noor Alani

Co-chair of Research Committee (Computing & Business), Senior Lecturer

Email

nalani@eit.ac.nz

Phone

06 830 1462

Areas of Teaching

Data Analytics, Data Visualisation, Computer Vision, Agile Projects, Quantitative Methods, Advanced IT Project Management

Qualifications

2019 PhD in Computer Vision, Auckland University of Technology, 2012 Master of IT – University Tenaga Nasional - Malaysia, 2021 New Zealand Certificate in Adult and Tertiary Teaching - EIT, 2022 New Zealand Certificate in Te Reo Māori - EIT

Profile

At Eastern Institute of Technology, my role as a Research Co-chair has allowed me to foster the growth of research within business and computing schools, while my position as a Senior Lecturer enables me to impart knowledge in both undergraduate and postgraduate courses. With a PhD in Computer Science from Auckland University of Technology, I leverage my expertise in computer vision and multimedia applications, as evidenced by multiple awards obtained in Research and Teaching.

Areas of Interest

Computer Vision

Machine Learning

Data Analysis

Multimedia Applications

Research Outputs

Research outputs 2025

Abdullah, N. N., & Alani, N. H. S. (2025). Blockchain adoption in the supply chain: Enablers, barriers, and opportunities from a systematic review. Sustainable Futures, 10, Article 101429. https://doi.org/10.1016/j.sftr.2025.101429

Adel, A., & Alani, N. (2025). Can generative AI reliably synthesise literature? Exploring hallucination issues in ChatGPT. AI & SOCIETY, 40, 6799–6812. https://doi.org/10.1007/s00146-025-02406-7

Adel, A., Alani, N. H. S., Jan, T., & Prasad, M. (2025). A review of major ICT failures and recovery strategies: Strengthening digital resilience. Computers & Security, 159, Article 104678. https://doi.org/https://doi.org/10.1016/j.cose.2025.104678

Adel, A., Pullanagari, R., Alani, N. H. S., Al-Rawi, M., Fouzia, S., & Berger, B. (2026). Drones-of-the-Future in Agriculture 5.0 – Automation, integration, and optimisation. Agricultural Systems, 231, 104543. https://doi.org/https://doi.org/10.1016/j.agsy.2025.104543

Alani, N. H. S., Chand, P., & Al-Rawi, M. (2025). A two-stage machine learning framework for air quality prediction in Hamilton, New Zealand. Environments, 12(9), Article 336. https://doi.org/10.3390/environments12090336

Dias, R. P., Wisker, Z. L., & Alani, N. H. S. (2025). Between firewalls and feelings: Modelling trust and commitment in digital banking platforms. Journal of Cybersecurity and Privacy, 5(4), Article 89. https://doi.org/10.3390/jcp5040089

Hasan, M. R., Sarkar, N. I., Alani, N. H. S., & Lutui, R. (2025). Cyber edge: Current state of cybersecurity in Aotearoa-New Zealand, opportunities, and challenges. Electronics, 14(14), Article 2915. https://doi.org/10.3390/electronics14142915

Sasitharasarma, S., Alani, N. H. S., & Wisker, Z. L. (2025). Is the healthcare industry ready for digital twins? Examining the opportunities and challenges. Future Internet, 17(9), Article 386. https://doi.org/10.3390/fi17090386

Syeda, F., Jameel, A., Alani, N., Humayun, M., & Alwakid, G. N. (2025). Automated detection and severity prediction of wheat rust using cost-effective xception architecture. Plant, Cell & Environment, 48(6), 4126-4139. https://doi.org/https://doi.org/10.1111/pce.15413

Wisker, Z. L., Myshkina, I., & Alani, N. H. S. (2025). Trust, try, buy, and belong: How does AI create a loyalty loop in hotels? Tourism and Hospitality, 6(5), Article 276. https://doi.org/10.3390/tourhosp6050276

Baker, O., Li, W., Ma, H., Subaramaniam, K., Lopez, D., & Palaniappan, S. (2025). Machine learning-driven container scheduling for edge-empowered microservices. In 2025 IEEE International Conference on Robotics and Technologies for Industrial Automation (ROBOTHIA) (pp. 1-6). https://doi.org/10.1109/ROBOTHIA63806.2025.10986316

Baker, O., Lopez, D., Li, W., Subaramaniam, K., & Palaniappan, S. (2025). A deep learning-based approach using MTCNN and FaceNet for automated attendance and security monitoring systems. In 2025 IEEE 7th Symposium on Computers & Informatics (ISCI) (pp. 104-109). IEEE. https://doi.org/10.1109/ISCI65687.2025.11167606

Erturk, E., Jamieson, J., Lengyel, I., & Alani, N. (2025). Teaching students to build responsible AI agents using a real-life social service case study. In Abstract book of the 10th International Conference on Advanced Research in Education, Teaching and Learning (ARETL). Diamond Scientific Publishing. https://www.dpublication.com/wp-content/uploads/2025/07/21-4619.pdf

Mozhaeva, A., Vlasuyk, I., Potashnikov, A., Alani, N., Rogers, S. J., & Streeter, L. (2025). Enhancing wide-angle VR video transmission using human perception. In J. Zhao, Y. Bi, J. Huang, & B. Xue (Eds.), 2025 40th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 267-272). https://doi.org/10.1109/IVCNZ67716.2025.11281650

Wijewardana, D., Alexander, J. T., Adel, A., Fedorov, V., Alani, N., & Mozhaeva, A. (2025). From lab to real-world: Industrially oriented AI training without high-performance hardware. In 2025 International Conference on Engineering Management of Communication and Technology (EMCTECH). https://doi.org/10.1109/EMCTECH65814.2025.11220561