Lynn Miller

Lynn Miller is a Lecturer in the Department of Human Centred Computing at Monash University. She holds a PhD in Data Science from Monash University (2023), specializing in estimating and projecting environmental indicators using satellite data and machine learning. Her research focuses on applying machine learning techniques, particularly deep learning, to remote sensing and environmental monitoring challenges, including wildland fire prediction and Sustainable Development Goal (SDG) tracking.

Education:

• PhD in Data Science, Monash University (2023)

Research Interests: Miller’s work bridges computer science and environmental science, emphasizing time series analysis, satellite image processing, and deep learning applications in climate modeling. She develops predictive models for live fuel moisture content estimation, wildfire risk assessment, and global indicator tracking for sustainability. Her research aligns with UN SDGs by leveraging AI and remote sensing to support environmental policy and action.

Recent Research Trends: Her articles (2020–2024) highlight a strong focus on scalability of machine learning models, deep learning for satellite data analysis, and applications in environmental hazard prediction. Key themes include time series classification, multimodal sensor fusion, and benchmarking methodologies for algorithmic stability.

Awards: No specific awards mentioned beyond academic qualifications.

Grants & Advising: No grant or advising information provided in the texts.

Labs/Teams: Collaboration networks include international partners in environmental modeling and remote sensing, though specific team details are not disclosed.