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Brinthan Kanesalingam

Email: kanesalingambrinthan187 [AT] gmail [DOT] com

I am currently a research assistant at the Data Science, Engineering & Analytics Research Hub within the Department of Computer Science and Engineering at the University of Moratuwa. My work primarily involves the super-resolution of microscopy images using conditional generative adversarial networks (cGANs).

My research is centred on the study of material microstructures, aiming to broaden their applications and deepen our understanding. I am also engaged in the analysis of materials through multimodal imaging and computer vision, with a focus on computational X-ray microanalysis. Previously (during my MSc by Research), I have worked on the X-ray microanalysis of energy dispersive X-ray spectroscopy (EDS) data, investigating the 3D nano and microstructures of complex natural materials.

I care about sustainability and decarbonisation. These principles fundamentally guide my research endeavours. I am also interested in understanding and applying machine learning and deep learning techniques to areas like microscopy and spectroscopy. I received my undergraduate (BSc Hons in Engineering) and postgraduate (MSc by Research) degrees from the University of Moratuwa. I was fortunate to be mentored by Dr Ashane Fernando during my BSc final year research project and MSc thesis.

〝Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.〞- Marie Curie

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Recent Updates
  • Apr 08, 2024 - Published an article, "Coal, calm and collected" on Materials World, IOM3.
  • Apr 05, 2024 - Defended the MSc thesis.
  • Feb 14, 2024 - Assigned as a research assistant within the DataSEARCH research group, Department of Computer Science and Engineering, University of Moratuwa.
  • Dec 15, 2023 - Submitted MSc thesis for the evaluation.
  • Dec 04, 2023 - Conference paper on the Weathered Rock Surface Classification with Unpiloted Aerial Vehicle Imagery and Machine Learning has been published in SLRMES 2023.
  • Oct 22, 2023 - Conference paper on the Subclassification of water resources with Sentinel-2 satellite imagery - Spectra-based insight has been published in IEEE IGRASS 2023.
  • Oct 17, 2023 - Version 0.0.8 of pyDeepP2SA has been released. This version includes the implementation of the line scan function and a worksheet effectively employ the package on an online platform.
  • Sep 25, 2023 - Attained prestigious membership in the Royal Microscopical Society, United Kingdom. Featured within the X-ray microscopy group.
    • More...

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