CommBank Centre for Foundational AI Research

CommBank Centre for Foundational AI Research

AI-driven research shaping the next generation of financial technology.

The CommBank Centre for Foundational AI Research was established in September 2024, a strategic partnership between Commonwealth Bank of Australia (CommBank) and the Australian Institute for Machine Learning (AIML) at Adelaide University to advance research and bolster Australia’s AI capability.

About us

The CommBank Centre for Foundational AI Research was born of the largest investment in AI of any company in Australia. It aims to position South Australia as a leader in foundational AI research, developing cutting-edge machine learning techniques with real-world applications across industries such as finance and national security. CommBank will harness these innovations to enhance customer security and create more personalised banking experiences.  The five-year partnership will further enhance the research and education offerings of the University’s Australian Institute for Machine Learning (AIML). 

The Centre aims to keep Australia at the forefront of foundational machine learning and AI innovation, creating a competitive edge in harnessing AI technology. The partnership will foster foundational research into new machine learning methods and techniques and explore real-world applications in finance and other industries. For CommBank, this research could unlock further improvements in fraud detection to keep customers' money and data safe, while identifying new ways to create personalised and secure banking experiences.

Centre objectives

Attracting top AI talent to Australia

Leading AI researchers will be recruited to the Centre and CommBank through hybrid appointments, which will combine academic rigor with industry relevance. The researchers recruited will include:

  • AI Postdoc appointments: Early career AI researchers to work within the co-branded centre.
  • AI Industry PhD: Industry PhD students to work within the co-branded Centre.

Research and publications

Generating high-impact research publications and sharing findings that will contribute to the global body of knowledge in AI.

Industry-academia collaboration

Facilitating knowledge transfer through internships, workshops, and seminars, promoting a symbiotic relationship between industry needs and academic research.

Building AI capability in Australia

This centre aims to keep CommBank at the forefront of foundational AI and machine learning innovation, ensuring a competitive edge through continuous innovation and allowing CommBank engineers to have a first mover advantage in their rapidly developing field. The collaboration is poised to not only bolster Australia’s capabilities in foundational AI but also to deliver tangible benefits to CommBank's customers and stakeholders.

Themes

The CommBank Centre for Foundational AI Research advances core research for foundational AI. The Centre is focused on three distinct themes.

Theme 1: Bias, trust, and attribution in deploying reliable AI models

This theme focuses on developing AI models that are not only accurate but also fair, transparent, and accountable. It will explore biases within model architectures and learning algorithms, methods for model interpretability and explainability, and techniques for ensuring trust and reliability in real-world deployment.

CommBank Centre for Foundational AI Research themes

Theme 2: Responsible reasoning and forecasting in deep learning

This theme is dedicated to understanding when and how AI models exhibit genuine reasoning capabilities. It aims to develop systems that can forecast future outcomes, infer structured conclusions from incomplete or uncertain data, and uncover the underlying principles that govern their reasoning processes.


Theme 3: Scalable and resource-efficient models for large-scale AI

This theme will develop foundations for building high-performing AI models that are computationally and memory efficient, enabling deployment at scale. It includes research into model compression, low-rank and quantised architectures, efficient training algorithms, and energy-aware model design.

Publications

Please visit our researchers’ Google Scholar profiles for a list of all publications.

Researcher

Google Scholar Profiles

Professor Simon Lucey

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Professor Anton van den Hengel

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Dr Hemanth Saratchandran

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Dr Yuanhong Chen

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Dr Mahalakshmi Sabanayagam

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The authors acknowledge financial support from Commonwealth Bank of Australia under the CommBank Centre for Foundational AI Research. The collaboration facilitated by this funding has significantly contributed to the progress of this research.

Notable publications

Conference presentations

GitHub

Team

The researchers and innovators behind our AI breakthroughs.

CommBank Centre for Foundational AI Research team

Professor Simon Lucey

Professor Simon Lucey is the Director of AIML at Adelaide University. Previously, he held key positions at Carnegie Mellon University's Robotics Institute, the autonomous vehicle company Argo AI, and CSIRO.

Professor Lucey’s research focuses on computer vision, machine learning, and robotics, drawing inspiration from pioneering AI researchers to uncover computational and mathematical models underlying visual perception.

Professor Anton van den Hengel

Professor Anton van den Hengel is the Chief Scientist and Founding Director of AIML, alongside his roles as Director of the Centre for Augmented Reasoning (CAR) at AIML, Chair of the Kingston AI Group, and a professor of computer science at Adelaide University.

Professor van den Hengel’s research focuses on deep learning, combining vision and language, video analysis, and medical AI.

Dr Hemanth Saratchandran

Dr Hemanth Saratchandran is a senior researcher at AIML with research interests in artificial intelligence, deep learning, geometric analysis, and topology. Previously, he held positions at the Institute for Geometry and its Applications at the University of Adelaide, the University of Augsburg, and the Beijing International Centre for Mathematical Research.

Dr Kathy Nicholson

Dr Kathy Nicholson is Institute Manager at AIML, where she oversees strategic operations and fosters collaboration between research and industry. She is also a Board Director and Policy Chair for Science & Technology Australia (STA), actively championing diversity, inclusion, and science policy reform across the STEM sector.

Rosa Pearson

Rosa Pearson is a seasoned project manager and strategic partnerships leader with over a decade of experience driving collaboration across industry, government, and academia. As Research Strategy and Development Manager at AIML, she leads and oversees multiple initiatives driving the institute’s research strategy and strategic partnerships across a range of domains.

Dr Yuanhong Chen

Dr Yuanhong Chen is a postdoctoral researcher at AIML specialising in computer vision, multimodal learning, and generative models. He holds a PhD in Computer Science and works on bridging medical image analysis and audio-visual perception with deep learning. His current research explores integrating large language models for cross-modal understanding and reasoning.

Dr Mahalakshmi Sabanayagam

Dr Mahalakshmi Sabanayagam is research fellow at AIML who works at the intersection of theory and practice to build efficient, trustworthy machine learning models. Her research develops principled foundations for deep learning and its adversarial robustness, drawing on optimisation and connections to kernel methods. She is also excited about graph-based learning problems and theory-guided method development.

CommBank leadership

Brendan Hopper

Brendan Hopper is the Commonwealth Bank (CommBank) Group's Managing DIrector for Innovation Ecosystems. He is responsible for ensuring that CommBank has world-leading IT engineering capability and makes the right technology investments and decisions so that technology becomes an accelerator, not a disruptor, for CommBank and its customers.

Sabina Streatfeild

Sabina Streatfeild is the Executive Manager Innovation Ecosystems & Tech Community at CommBank. She is responsible for education, innovation, and research partnerships in technology.  She and her team are actively involved in the technology community, contributing to education programs and partnerships that will set Australia up for success as the economy transitions to a more digital future.

Dr Luiz Pizzato

Dr Luiz Pizzato is a Distinguished AI Scientist and General Manager at CommBank, where he focuses on building AI innovation that can improve people’s lives. He has a PhD in Natural Language Processing (NLP) and has developed the first Reciprocal Recommender systems. He held previous positions in academia, start-ups, and has led innovation labs in global consulting firms.

Dr Anna Leontjeva

Dr Anna Leontjeva is an Executive Manager of AI Labs at CommBank, where she leads the bank's Centre of Excellence dedicated to artificial intelligence research and development. Anna holds a PhD in Computer Science and has over 15 years of expertise in AI. At AI Labs, she directs strategic initiatives focusing on cutting-edge AI technologies, including graph machine learning, deep learning, and generative AI. Prior to joining CommBank, Anna held academic positions where she contributed to foundational research in artificial intelligence.

Contact us

Rosa Pearson

Research and Development Manager, AIML

Program Manager, CommBank Centre for Foundational AI Research

rosa.pearson@adelaide.edu.au