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.