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Publications

2025#

  • Faisal S, Thawdar Y, Ooi MPL, Reutemann P, Fletcher D, Kuang YC, Abeysekera SK, 2025. Proximal near-infrared hyperspectral imaging dataset for identifying epicuticular wax loss in Masena blueberries to evaluate post-harvest quality. Data in Brief. 10.1016/j.dib.2025.111946 dataset

  • Faisal S, Ooi M, Kuang YC, Thawdar Y, Abeysekera S, Reutemann P, Fletcher D, Fleming R, McClelland H, 2025. Identifying Biological Fluids using Hyperspectral Near-infrared Imaging and Machine Learning for Forensics Analysis. In IEEE International Instrumentation and Measurement Technology Conference (I2MTC). 10.1109/I2MTC62753.2025.11078980

  • Faisal, S., Ooi, M. P. L., Abeysekera, S. K., Kuang, Y. C., & Fletcher, D. (2025). Roadmap for measurement and applications: Uncertainty quantification and visualization for optimal decision-making in hyperspectral imaging-based precision agriculture. IEEE Instrumentation & Measurement Magazine, [28(1), 23-32] (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10870392).

  • Chow Kuang, Y., & Ooi, M. (2025). Incremental Seeded EM Algorithm for Clusterwise Linear Regression. arXiv e-prints, arXiv-2507.

  • Faisal, S., Ooi, M. P. L., Kuang, Y. C., Abeysekera, S. K., & Fletcher, D. (2025). An overview of integrating deep learning methods with close-range hyperspectral imaging for agriculture. IEEE Access.

  • Holmes, W. S., Ooi, M. P. L., Demidenko, S., Abeysekera, S., Kuang, Y. C., & Sidhu, D. (2025, May). On a direct method to estimate cannabidiolic acid content of Cannabis sativa L. from near-infrared hyperspectral images. In 2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-5). IEEE.

2024#

  • Pearse J, Thawdar Y, Sim A, Ooi M, Mcguinness B, Reutemann P, Fletcher D, Duke M, 2024. Hyperspectral imaging and machine learning to identify epicuticular wax loss in Masena Blueberries for post-harvest freshness. In IEEE 20th International Conference on Automation Science and Engineering (CASE), 2793-2798. IEEE. 10.1109/CASE59546.2024.10711590

  • Kuang, Y. C., & Ooi, M. (2024). Performance Characterization of Clusterwise Linear Regression Algorithms. Wiley Interdisciplinary Reviews: Computational Statistics, 16(5), e70004.

2023#

  • Holmes, W.S., Ooi, M.P.L., Abeysekera, S., Kuang, Y.C., Simpkin, R., Caddie, M., Nowak, J. and Demidenko, S., 2023, May. On machine learning methods to estimate cannabidiolic acid content of Cannabis sativa L. from near-infrared hyperspectral imaging. In 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 01-06). IEEE. 10.1109/I2MTC53148.2023.10175994

  • Abeysekera, S.K., Robinson, A., Ooi, M.P.L., Kuang, Y.C., Manley-Harris, M., Holmes, W., Hirst, E., Nowak, J., Caddie, M., Steinhorn, G. and Demidenko, S., 2023. Sparse reproducible machine learning for near infrared hyperspectral imaging: Estimating the tetrahydrocannabinolic acid concentration in Cannabis sativa L. Industrial Crops and Products, 192, p.116137. 10.1016/j.indcrop.2022.116137

2022#

  • Ooi, M.P.L., Robinson, A., Manley-Harris, M., Hill, S., Raymond, L., Kuang, Y.C., Steinhorn, G., Caddie, M., Nowak, J., Holmes, W. and Demidenko, S., 2022. Robust statistical analysis to predict and estimate the concentration of the cannabidiolic acid in Cannabis sativa L.: A comparative study. Industrial Crops and Products, 189, p.115744. 10.1016/j.indcrop.2022.115744

2021#

  • Iakovidis, D. K., Ooi, M., Kuang, Y. C., Demidenko, S., Shestakov, A., Sinitsin, V., ... & Gao, R. X. (2021). Roadmap on signal processing for next generation measurement systems. Measurement Science and Technology, 33(1), 012002.

  • Abeysekera, S. K., Kuang, Y. C., Ooi, M. P. L., & Kalavally, V. (2021). Maximal Associated Regression: A Nonlinear Extension to Least Angle Regression. IEEE Access, 9, 159515-159532.

2020#

  • Holmes, W.S., Ooi, M.P.L., Kuang, Y.C., Simpkin, R., Blanchon, D., Gupta, G.S. and Demidenko, S., 2020, May. Signal-to-noise ratio contributors and effects in proximal near-infrared spectral reflectance measurement on plant leaves. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6). IEEE. 10.1109/I2MTC43012.2020.9129359

  • Holmes, W.S., Ooi, M.P.L., Kuang, Y.C., Simpkin, R., Lopez-Ubiria, I., Vidiella, A., Blanchon, D., Gupta, G.S. and Demidenko, S., 2020, May. Classifying Cannabis sativa flowers, stems and leaves using statistical machine learning with near-infrared hyperspectral reflectance imaging. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6). IEEE. 10.1109/I2MTC43012.2020.9129531

2019#

  • Rajan, A., Kuang, Y. C., Ooi, M. P. L., & Demidenko, S. N. (2019). Measurement uncertainty evaluation: could it help to improve engineering design?. IEEE Instrumentation & Measurement Magazine, 22(2), 27-32.

  • Holmes, W. S., Ooi, M. P. L., Look, M., Chow, Y., Simpkin, R., Blanchon, D., & Demidenko, S. (2019, May). Proximal near-infrared spectral reflectance characterisation of weeds species in New Zealand pasture. In 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6). IEEE.

2017#

  • Khoo, J. J., Tey, W. K., Tan, V., Peter, S. W., Kuang, Y. C., & Ooi, M. P. L. (2017). Visual Quantification of Renal interstitial fibrosis: Inter and Intra-observer variations. Pathology, 49, S130.

  • Tey, W. K., Kuang, Y. C., Khoo, J. J., Ooi, M. P. L., & Demidenko, S. (2017, May). Automatic renal interstitial fibrosis quantification system. In 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1-6). IEEE.