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Associate Professor Melanie Ooi (CEng, FIET, SMIEEE)

Melanie Ooi

Associate Professor

Qualifications: B.Eng. (Hons), M.Eng.Sc (Research), PhD

About Melanie

Melanie has developed new testing techniques and test data processing methodologies that have been adopted by multinational companies such as Texas Instruments, Freescale Semiconductor (now NXP) and Western Digital. In the recent years she has also successfully researched on new measurement uncertainty evaluation approaches and frameworks with application to a multitude of science and technology areas (medical research, structural design, mechanical systems modelling, etc.) Her work in measurement uncertainty propagation has been adopted by the South African National Accreditation System (national body responsible for conformity assessment) in their guidelines document TG 50-02 since October 2017.

In the recent two years, she has contextualised her measurement and instrumentation research to focus on New Zealand’s strategic areas of development through key partnerships with the horticulture and agriculture sectors such as Rua Bioscience on medicinal cannabis growth and production, and Zespri on kiwifruit inspection. She also works with New Zealand's Crown entities and Research Institutes such as Callaghan Innovation, SCION and AgResearch on new agricultural measurement and instrumentation techniques with specific focus on digital phenotyping activities, and is developing technologies for early detection of biosecurity threats under the National Science Challenge on New Zealand's Biological Heritage Ngā Koiora Tuku Iho,.

She has been acknowledged by several awards including the 2019 Rutherford Discovery Fellowship from New Zealand's Royal Society Te Apārangi, 2017 Mike Sargeant Career Achievement Award from Institution of Engineering and Technology U.K., Outstanding Young Engineer Award of the Year 2014 from the IEEE Instrumentation and Measurement Society, 2014 Excellence Award from the International Education Association of Australia, 2011 Citation for Outstanding Contributions to Student Learning from the Australian Learning and Teaching Council.

She is the youngest female Fellow appointed to the Institution of Engineering and Technology, and is a U.K. Chartered Engineer. Melanie is a Senior Member of the IEEE, a guest editor for the IEEE Transactions in Instrumentation and Measurement, an Administrative Committee Member of the IEEE Instrumentation & Measurement Society (I&MS) as well as Secretary and Member of the Technical Committee on Fault Tolerant Measurement Systems (TC-32) of the IEEE I&MS.

Papers Taught

Research Interests

1. Standardising the Measurement of Blue LED

2. Digital Phenotyping: Non-destructive In-Situ Hyperspectral Measurement Technique for Determination of Cannabidiolic Acid (CBDA) and Tetrahydrocannabinolic Acid (THCA) in cannabis plant

3. Analytical Measurement Uncertainty Evaluation

4. Proximal Spectral Measurement of Common New Zealand Weeds for Pasture

5. Hyperspectral Imaging as a technology for future-fit adaptive and resilient biodiversity and biosecurity surveillance for New Zealand

Free Tools and Software:

a. Online Mathematical Toolbox for Analytical Standard Uncertainty Evaluation

b. Mellin Transform-based Moment Calculator for Multivariate Polynomials

c. Improved Maximum Entropy Distribution Fitting

d. Benchmark Test Distributions

Recent Publications

  • Taberner, A. J., Ooi, M., & Piuri, V. (2020). Guest Editorial. IEEE Transactions on Instrumentation and Measurement, 69(5), 2302-2303. doi:10.1109/TIM.2020.2979538

  • Ooi, M., Steinhorn, G., & Caddie, M. (2020). Future trends in I&M: The next generation of measurement technology for medicinal cannabis production. IEEE Instrumentation & Measurement Magazine, 23(4), 63-67. doi:10.1109/mim.2020.9126073

  • Abeysekera, S. K., Kalavally, V., Ooi, M., & Kuang, Y. C. (2020). Impact of circadian tuning on the illuminance and color uniformity of a multichannel luminaire with spatially optimized LED placement. Optics Express, 28(1), 130-145. doi:10.1364/OE.381115

  • Rajan, A., Luo, F. J., Kuang, Y. C., Bai, Y., & Po-Leen Ooi, M. (2020). Reliability-based design optimisation of structural systems using high-order analytical moments. Structural Safety, 86. doi:10.1016/j.strusafe.2020.101970 Open Access version: https://hdl.handle.net/10289/13720

Find more research publications by Melanie Ooi

Keywords

Engineering


Contact Details

Email: [email protected]
Room: G1.28
Phone: +64 7 838 4577