Dr Sanush Abeysekera

Sanush Abeysekera

Postdoctoral Fellow

Qualifications: BEng (Hons) Mechatronics Engineering (1st), PhD

Papers Taught

Research Supervised

Co-supervisor: Wayne Holmes (PhD ongoing)

Research Interests

  • Machine learning
  • Statistical methods
  • Computer vision
  • Hyperspectral imaging

Recent Publications

  • 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, 1. doi:10.1109/access.2021.3131740 Open Access version:

  • Abeysekera, S. K., Kalavally, V., Kuang, Y. C., & Po-Leen, M. O. (2020). Design of Low Cost Programmable LED Lighting System for Smart Buildings. In 2020 IEEE Sensors Applications Symposium - Proceedings. doi:10.1109/SAS48726.2020.9220038

  • 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

  • Abeysekera, S., Kar, N., Siew, W., Po-Leen Ooi, M., Kuang, Y. C., Syed Hassan, S., & Demidenko, S. (2015). Digital pathology: Identifying spongiosis in unstained histopathology specimen. In Conference Record - IEEE Instrumentation and Measurement Technology Conference Vol. 2015-July (pp. 1970-1975). doi:10.1109/I2MTC.2015.7151584

Find more research publications by Sanush Abeysekera


Data; Machine Learning; Statistics

Hyperspectral Imaging