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Kapila Kithsiri Pahalawatta

Research Scientist

Kapila Kithsiri Pahalawatta

BSc, PhD

Kapila Kithsiri Pahalawatta recently joined Lincoln Agritech as a Research and Development Engineer. He has a Bachelor of Science from the University of Colombo, Masters in Forestry Science and a PhD in computer science from the University of Canterbury.

He specialises in:

  • Deep learning
  • Data science
  • Algorithm engineering
  • Machine vision.

At Lincoln Agritech, Kapila is primarily focused on the Grape Yield Analyser research programme and is involved in designing a new tool for the New Zealand winegrowing industry.

Academic and Professional history:

  • 2019 – Research and Development Engineer, Lincoln Agritech
  • 2015 -2018 Image Processing Data Scientist, Croplogic Ltd
  • 2015 – PhD in Computer Science, University of Canterbury
  • 2008 – MSc in Computer Science with Distinction, University of Canterbury
  • 2002 – 2012 Lecturer in Information Technology and Decision Sciences, University of Sri Jayewardenepura
  • 1998 – MSc in Forestry Science with Distinction, University of Canterbury
  • 1993 – 1994 Research Assistant – International Union for the Conservation of Nature and UK Overseas Development Administration
  • 1990 – 1992 Tutor in Mathematics, University of Colombo
  • 1990 – BSc in Physical Science, University of Colombo

Projects

Data Science
Data Science
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Publications

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Evaluating sources of variability in inflorescence number, flower number and the progression of flowering in Sauvignon blanc using a Bayesian modelling framework, Vol. 56 No. 1 (2022): OENO One
Amber K. Parker, Jaco Fourie, Mike C. T. Trought, Kapila Phalawatta, Esther Meenken, Anne Eyharts, Elena Moltchanova
https://doi.org/10.20870/oeno-one.2022.56.1.4717
Robust human instance segmentation in a challenging forest environment 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)
K. Pahalawatta, J. Fourie, J. Potgieter, H. Ascot-Evans and A. Werner
https://doi.org/10.1109/IVCNZ54163.2021.9653172
Towards automated grape vine pruning: Learning by example using recurrent graph neural networks, “International Journal of Intelligent Systems”
Fourie J, Bateman C, Hsiao J, Pahalawatta K, Batchelor O, Epee Misse P, Werner A
https://doi.org/10.1002/int.22317
Detection and classification of opened and closed flowers in grape inflorescences using Mask R-CNN IVCNZ Conference
Pahalawatta, K; Fourie, J; Carey, P; Werner, A; Parker, A
https://doi.org/10.1109/IVCNZ51579.2020.9290720
Fusion of thermal and visible colour images for robust detection of people in forests, 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ)
Fourie J, Pahalawatta K, Hsiao J, Bateman C, Carey P
doi:10.1109/IVCNZ48456.2019.8960964.