Machine Learning Research Network
About the Network
The Machine Learning Research Network brings together researchers from across the University who are passionate about machine learning and its applications. We foster collaborative, multidisciplinary research to achieve international excellence and drive broader scientific and technological innovation.
The University of Sydney has a strong and diverse machine learning research community, spanning multiple disciplines and departments, including but not limited to the School of Computer Science, School of Mathematics and Statistics, and the Business School. Researchers across these faculties explore various aspects of machine learning, from mathematical foundations and theoretical advancements to algorithm development and real-world applications.
This breadth of expertise supports interdisciplinary research that extends beyond traditional computing fields into business, agriculture, transportation, and healthcare, among other domains. As machine learning continues to transform industries and scientific disciplines, the need for a unified, collaborative research network has become increasingly evident.
The Machine Learning Research Network was established to foster collaboration, facilitate knowledge exchange, and drive international excellence in AI and machine learning research.
By bringing together experts from diverse fields, the network aims to encourage cross-disciplinary partnerships, enabling novel approaches to solving complex problems. It supports fundamental research in machine learning theory and algorithms while also promoting the practical application of machine learning innovations in various sectors.
Through workshops, joint research projects, and engagement with industry partners, the network enhances opportunities for innovation, strengthens the University's leadership in AI and machine learning, and contributes to the broader scientific and technological community.
- Associate Professor Chang Xu, School of Computer Science, Faculty of Engineering
- Professor Yiming Ying, School of Mathematics and Statistics, Faculty of Science
- Associate Professor Dmytro Matsypura, University of Sydney Business School
Expediting Next-Generation AI for Health via KG and LLM Co-Learning
Date: Monday 5 May 2025, 11AM – 12 PM
More information: Event link
Multimodal Generation for Recommendation
Date: Friday 2 May 2025, 11AM – 12 PM
More information: Event link
Toward a Systems Theory for Human-Centered Trustworthy Agentic AI
Date: Monday 14 Apr 2025, 11AM – 12 PM
More information: Event link
Co-convenors
Associate Professor Chang Xu
Professor Yiming Ying
Associate Professor Dmytro Matsypura