Email: kanesalingambrinthan187 [AT] gmail [DOT] com
I am a PhD student at Stanford University, focussing on Materials Science and
Engineering in the
Dresselhaus-Marais Research Group. I mainly work on X-ray microscopy.
My previous research works are centered 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. In my MSc thesis, I worked on the
3D nano and microstructures of complex natural materials using energy
dispersive X-ray spectroscopy (EDS) data. I have also worked on remote
sensing and machine learning applications in the past years.
I care about sustainability and decarbonisation. 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 a research assistant (from Feb 2024 to Jun 2024) at the Data Science, Engineering & Analytics
Research Hub within the Department of Computer Science and Engineering
at the University of Moratuwa.
〝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
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.
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.
Aug 11, 2023 - Research talk on
In Your Own Words: A Journey through Literature.
Jul 31, 2023 - Abstract on
Weathered Rock Surface Classification with Unpiloted Aerial Vehicle Imagery
and Machine Learning has been accepted for presentation at the SLRMES
conference.
Jul 16, 2023 - Successfully
showcased a poster of
our accepted conference paper at IGRASS 2023 in Pasadena, California.
Jun 22, 2023 - Presented a poster at the
International Summer School in Global Just Transition - Equity in Net Zero,
held at Newcastle University, Newcastle upon Tyne, United Kingdom.
Jul 19, 2023 - Participated in
the International Summer School in Global Just Transition - Equity in Net
Zero, hosted at Newcastle University, Newcastle upon Tyne, United Kingdom.