We foster collaborative, multidisciplinary research to achieve international excellence and drive broader scientific and technological innovation.
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.
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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.
The ±¬ÁÏÍõ 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 MLRN HDR Student Chapter is a student-led body within the MLRN at the ±¬ÁÏÍõ. Composed of Higher Degree by Research (HDR) students from diverse faculties including Engineering, Science, and Business, the chapter provides a platform for peer-led academic engagement, interdisciplinary dialogue, and leadership development at the intersection of artificial intelligence and real-world application domains.
Operating under the broader MLRN structure, the chapter plays a key role in fostering a vibrant, inclusive, and research-driven community of emerging AI scholars. Its activities span seminar series, collaborative events, and outreach efforts, all aimed at enriching the HDR research experience through student-led innovation and exchange.
This student chapter is supported by the Graduate Research School’s GRADS Funding Program, which empowers HDR students to design and lead initiatives that enhance research capability, communication, and cross-disciplinary collaboration.
Date:Â October 2025Â
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Date:Â September 2025Â
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Date:Â August 2025Â
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Date: Wednesday 25 June 2025, 10 am– 1 pm
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Date: Monday 19 May 2025, 11 am– 12 pm
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Date: Monday 5 May 2025, 11 am– 12 pm
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Date: Friday 2 May 2025, 11 am – 12 pm
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Date: Monday 14 Apr 2025, 11 am – 12 pm
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