CMIG

About Us

The Computational and Mathematical Intelligence Group at The School of Mathematics and Statistics, University of Sydney consists of researchers interested in the foundations of machine learning, artificial intelligence and their interactions with other areas. We come from a wide range of backgrounds, and are interested in increasing interdisiplinary connections and collaborations across all research areas interested in computational and mathematical intelligence.

Group Members

Our Current Members

Dr. Lamiae Azizi (Group Leader) ✉
Research areas: Probabilistic Machine Learning
Simon Luo (PostDoc) ✉
Project Name: Probabilistic Graphical Models for Unsupervised Feature Learning
Research areas: Information Geometry and Machine Learning, Probabilistic Machine Learning
Yossi Bokor (PhD Student) ✉
Project Name: Machine learning and stratified space learning
Research areas: Topological Data Analysis, Information Geometry and Machine Learning
Nick Miltchinov (PhD Student) ✉
Project Name: Machine Learning for High dimensional Partial differential equations in Micromagnetics
Research areas: Time Series, Dynamical Systems and Machine Learnining
Nicholas James (PhD Student) ✉
Project Name: Statistical Signal Processing
Research areas: Time Series, Dynamical Systems and Machine Learnining
Matthew Ma (PhD Student) ✉
Project Name: Machine Learning for Large Scale Knowlege Graph Completion
Research areas: Probabilistic Machine Learning
Alexey Vlaskin (PhD Student) ✉
Project Name: Semi-supervised learning methods for text classification
Research areas: Natural Language Processing
James Chok (PhD Student) ✉
Project Name: Orthogonal Machine Learning
Research areas: Machine Learning in Physical Systems
Jenny Dong (PhD Student) ✉
Project Name: Probabilistic Causal Discovery in Complex Systems
Research areas: Probabilistic Machine Learning
Steven Wong (PhD Student) ✉
Project Name: Machine Learning in Portfolio Management
Research areas: Probabilistic Machine Learning, Time Series, Dynamical Systems and Machine Learnining.
Chris Hyland (Honours Student)✉
Project Name: Bayesian model selection and link prediction applied to text documents
Research areas: Natural Language Processing
Tuo Zeng (Honours Student) ✉
Project Name: Neural network Gaussian process Inference
Research areas: Probabilistic Machine Learning
Fariza Rashidy (Honours Student) ✉
Project Name: Image classification in the lens of Topological Data Analysis and Machine Learning
Research areas: Probabilistic Machine Learning, Topological Data Analysis

Applications

Ensembling Anomaly Detection Algorithm