Machine Learning Seminars

The Machine Learning Seminar is a regular event that aims to promote machine learning research. It provides a forum to present recent advancements, share ideas and discuss new research directions in machine learning. In the seminars, we host international and New Zealand-based experts from industry and academia. They are open for anyone with an interest in theoretical and applied machine learning. The seminars are both hosted at the University of Auckland and virtually.

Machine Learning Seminar by Prof. Albert Bifet – TAIAO – Green AI in Green Aotearoa

Short Bio Albert Bifet is the Director of the Te Ipu o te Mahara AI Institute at the University of Waikato and Co-chair of the Artificial Intelligence Researchers Association (AIRA). His research focuses on Artificial...

Machine Learning Seminar by Prof. Ali Knott – Oversight and Regulation of AI Systems in Social Media

Short Bio Alistair Knott is Professor of Artificial Intelligence at Victoria University of Wellington. He has been an AI and computational linguistics researcher for 30 years. He studied Philosophy and Psychology at Oxford...

Machine Learning Seminar by Prof. Nikola K Kasabov – Spatio-Temporal Learning and Spatio-Temporal Associative Memories in Bio/neuro systems, Mathematics and Brain-inspired Neurocomputation

Short Bio Professor Nikola K Kasabov is a Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He has Doctor Honoris Causa from...

Machine Learning Seminar by Dr. Lia Morra – Neuro-Symbolic AI Advancements in Computer Vision

Short Bio Lia Morra is Assistant Professor (Tenure Track) with the Department of Control and Computer Engineering, Politecnico di Torino, Italy. She received the M.Sc. and PhD degree in Computer Engineering from Politecnico...

Machine Learning Seminar by Dr. Pablo Montero Manso – Large pre-trained models achieve near-optimal time series forecasting

Short Bio Pablo Montero-Manso is a Senior Lecturer at the University of Sydney, currently a Visiting Faculty Researcher at Google. He researches Machine Learning, Artificial Intelligence and Statistical tools for time series...

Machine Learning Seminar by Prof. William Stafford Noble – Deep learning applications in mass spectrometry proteomics and single-cell genomics

Short Bio William Stafford Noble is a Professor in the Department of Genome Sciences and in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. He received the Ph.D. in computer...

Machine Learning Seminar by Prof. Christian S. Jensen – New Vehicle Routing Paradigms Enabled by Big Vehicle Trajectory Data

Short Bio Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns primarily analytics, including machine learning, data mining, and query processing, and data management,...

Machine Learning Seminar by Dr. Xia Ning – Deep Generative Models for Molecule Optimization

Short Bio Dr. Xia Ning is an Associate Professor in the Biomedical Informatics Department, and the Computer Science and Engineering Department, The Ohio State University. She received her Ph.D. in Computer Science and...

Machine Learning Seminar by Alex Gavryushkin – Online Algorithms for Evolutionary and Systems Biology

Short Bio Alex Gavryushkin is an associate professor and Rutherford Discovery Fellow at the University of Canterbury, where he leads the Biological Data Science lab, which he founded in 2017. The lab is primarily interested...

Machine Learning Seminar by Pat Langley – Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models

Short Bio Dr. Pat Langley serves as Director of the Institute for the Study of Learning and Expertise and as a Research Scientist at Stanford University's Center for Design Research. He has contributed to AI and cognitive...