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97 - Machine Learning Source Apportionment

Tracks
CleanAir 3
Monday, August 31, 2026
2:00 PM - 2:20 PM

Overview

Anushka Elangasinghe


Speaker

Dr Anushka Elangasinghe
Postdoctoral Fellow
The University Of Auckland

OPTIMISING AETHALOMETER BASED BLACK CARBON SOURCE APPORTIONMENT USING ROUTINE AIR QUALITY MEASUREMENTS

Biography

Dr Anushka Elangasinghe is a Postdoctoral Research Fellow at the School of Environment, Faculty of Science, University of Auckland and a Senior Scientist at Mote Limited. She has extensive experience in air quality monitoring and modelling, with a strong focus on source apportionment and atmospheric processes in both New Zealand and international contexts. Her work integrates advanced analytical techniques and data-driven modelling approaches to better understand pollution sources and support evidence-based air quality management. She also collaborates across academia, industry, and government, contributing to applied research and environmental consultancy projects.
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