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The Future of Machine Learning for Time Series @ ACML2026
1 December 2026, Melbourne
Meet Honors Student Aleena Elizabeth
Aleena is completing her Bachelor of Computer Science (Honors) here at Monash University, where her interest in problem solving and mathematics has led her to explore the challenges of working with time series data.
Dr Mahsa Salehi on SBS World News: AI and Brain Data
Dr Mahsa Salehi spoke to SBS World News about an emerging AI technology that can reconstruct images of what a person is looking at by analysing their brain scans.
Meet Research Fellow Sherilyn Long
Sherilyn is a Research Fellow in the Department of Data Science and AI at Monash University, where she also completed her PhD in Data Science.Her research focuses on time series forecasting, Bayesian inference and machine learning, with a particular
Using AI to predict enzyme efficiency at genome scale
Researchers have developed a new artificial intelligence approach that can predict how efficiently enzymes work, potentially helping accelerate the discovery and engineering of improved enzymes.
Using DNA language models to uncover disease-related genetic changes
Researchers have developed a new deep learning approach that uses DNA language models to better understand how genetic changes may contribute to diseases such as Alzheimer’s disease.
Meet Professor Wray Buntine
Wray brings a broad background in artificial intelligence and machine learning to the Temporal Analytics Lab, spanning academic research as well as experience with organisations including Google and NASA.
Measuring public transport accessibility: why the detail matters
How accessible is public transport in Melbourne? The answer can depend on how we measure it.
Shahrzad Presents Research on Sparse Oblique Rule Boosting at ECML PKDD 2026
Huge congratulations to Shahrzad and the team on having their paper accepted into the journal Data Mining and Knowledge Discovery and presented as part of the NECTAR track at ECML PKDD 2026 in Naples, Italy!
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