Dr Ye Chow Kuang
Personal Website: https://sites.google.com/site/kuangyechow/home
About Ye Chow
Dr. Ye Chow Kuang graduated with the first-class degree honours in Electromechanical Engineering from the University of Southampton in 2000 with the Institute of Electrical Engineers Southern Award for Outstanding Academic Performance. He completed his PhD under the sponsorship of the United Kingdom Overseas Research Studentship in the University of Southampton Tony Davies High Voltage Laboratory in 2004. He worked in the School of Engineering, Monash University between 2005-2018. He is currently a fulltime academic member of the emerging School of Engineering University of Waikato.
In nearly two decades of his career, Dr. Kuang has taught wide range of engineering subjects covering circuit theory, signal processing, instrumentation & measurement, reliability engineering, control theory, electrical machines & drives, electronics testing, electromagnetics, system engineering, programming and engineering mathematics. He led an award-winning team to reform an undergraduate engineering education programme which enhances key professional skills and work-readiness (with the direct sponsorship of multinational companies). For this work, he was awarded the Pro-Vice-Chancellor's Award for Excellence in Teaching, IEEE Instrumentation and Measurement Society Faculty Course Development Award and the International Education Association of Australia Excellence Award in Best Practices / Innovation in International Education.
Dr. Kuang main research works fall in the areas of statistical computational intelligence, automation (fault diagnostic, knowledge discovery), signal processing and applied probability theory. Through working in close collaboration with many multinational companies, he has developed new techniques and data handling methodologies that are adopted by the industry partners. In the recent years he has also developed new measurement uncertainty evaluation approaches and frameworks with application to a multitude of science and technological areas (medical research, structural design, mechanical systems modelling, etc.). He took University and School leadership roles at different time in the past; and led the initiative of developing Graduate Research School from 10 to 140 students in 5 years.
Dr. Kuang is a Chartered Engineer registered by the Institution of Engineering and Technology (IET, UK) and professional engineer registered by Malaysia Board of Engineers. He is a Senior Member of the Institute of Electrical & Electronics Engineers (IEEE, USA), the Chair of the Technical Committee on Fault Tolerant Measurement Systems (TC-32) of the IEEE Instrumentation & Measurement Society. His chapter was awarded the IEEE Instrumentation & Measurement Society Best Technical Committee Award under his stewardship. He co-founded IEEE Instrumentation & Measurement Society Malaysia Chapter and IEEE Technology & Engineering Management Society Malaysia Chapter. He has been reviewer and associate editor for several well-known academic journals.
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
Holmes, W. S., Po-Leen Ooi, M., Kuang, Y. C., Simpkin, R., Lopez-Ubiria, I., Vidiella, A., . . . Demidenko, S. (2020). Classifying cannabis sativa flowers, stems and leaves using statistical machine learning with near-infrared hyperspectral reflectance imaging. In International Instrumentation and Measurement Technology Conference, Proceedings. doi:10.1109/I2MTC43012.2020.9129531
Demidenko, S., Chew, M. T., Nguyen, B. T., Ooi, M. P. L., & Kuang, Y. C. (2020). Logic built-in self-test instrumentation system for engineering test technology education. In International Instrumentation and Measurement Technology Conference, Proceedings. doi:10.1109/I2MTC43012.2020.9128856
Find more research publications by Ye Chow Kuang
Computing; Data; Engineering; Machine Learning; Statistics
Contact DetailsEmail: [email protected]
Phone: +64 7 837 9377