La Trobe AI Institute

Leading with values. Powered by people. Driven by impact.

Explore how we’re shaping the future of AI across research, education and partnerships.

Tackling global challenges

At La Trobe University, Artificial Intelligence (AI) is tackling global challenges head-on through accelerating medical breakthroughs, protecting reefs, transforming farms, powering the shift to net zero and equipping our people and partners to turn responsible innovation into real-world change.

432+

AI Research Talents

55+

Global Partners

67+

AI Research Projects

Leading AI research

Accelerating the future of immunotherapy with ACAMI

Accelerating the future of immunotherapy with ACAMI

AI promises to unlock new cures for cancer and other diseases by revolutionising the speed, cost and availability of personally designed drugs.

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AI supercharges smart irrigation for farmers

AI supercharges smart irrigation for farmers

AI-powered smart irrigation system combining IoT sensing, predictive crop modelling, and conversational AI to deliver up to 20% water savings, 50% electricity reduction and 45% labour savings.

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Improving neonatal care decisions with AI Driven outcome prediction

Improving neonatal care decisions with AI Driven outcome prediction

Bringing together technical, clinical and ethical perspectives to assess and examine the challenges and opportunities of using AI to predict clinical outcomes and length of stay in Neonatal Intensive Care Units.

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La Trobe Energy AI Platform (LEAP)

La Trobe Energy AI Platform (LEAP)

LEAP is a university-wide AI platform advancing net zero emissions, analysing over a billion data points across six campuses to optimise energy use in real time. It delivers forecasting and anomaly detection, cuts 40,000 tonnes of emissions, saves $200,000 annually and enables hands-on AI for sustainability learning for thousands of students.

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AI Accelerates Reef Recovery with 3D Digital Twins

AI Accelerates Reef Recovery with 3D Digital Twins

La Trobe’s home-grown AI creates 3D digital twins of coral reefs up to 10× faster than conventional methods, helping assess climate impacts and guide restoration of the Great Barrier Reef and other reef ecosystems. Great Barrier Reef and other coral reef ecosystems.

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AI that changed how the world analyses elite sport

AI that changed how the world analyses elite sport

Developing AI systems that deliver near‑instant race analytics for elite swimming from a single 4K camera. It analyses every swimmer in every lane with >97% accuracy, cutting performance analysis time from days to minutes and continues to be used at elite competitions to support race‑critical decisions, including at the Tokyo 2020 Olympics.

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Working together with industry

Our collaborations focus on integrating AI into the curriculum, developing specialised research centres and establishing AI-driven innovation labs and facilities at our campuses in Melbourne and regional Victoria.

Our AI approach

Together, we will lead responsibly, innovate boldly and deliver exceptional quality and experience across every touchpoint to advance the future of education, research, and health for the betterment of all.

AI Research Centres and Institutes

Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI)

Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI)

The world’s first university innovation centre specialising in the application of AI to accelerate the discovery and development of immunotherapies, vaccines and medical innovation.

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Centre for Data Analytics and Cognition (CDAC)

Centre for Data Analytics and Cognition (CDAC)

A research centre at La Trobe led by AI and data science experts, specialising in research and development of Artificial Intelligence algorithms and Data Analytics platforms.

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Cisco–La Trobe Centre for Artificial Intelligence and Internet of Things

Cisco–La Trobe Centre for Artificial Intelligence and Internet of Things

The first-of-its kind centre in Australia for leading and impactful research to harness the superpowers of innovation brought by combining AI and IoT.

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Digital Innovation Hub

Digital Innovation Hub

An on-campus hub of three leading digital labs that provides businesses, students, and community access to advanced facilities in AI and IoT, software development, data analytics and networking.

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Innovation Central Melbourne

Innovation Central Melbourne

A collaborative innovation centre at La Trobe University, co-established with Cisco, focused on driving digital transformation across industries through cutting-edge technologies, research expertise, and real-world co-innovation in areas such as digital health, sustainability and supply chains.

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Eagleworks Innovation Centre

At Eagleworks, we don’t just imagine the future – we build it. Joining researchers and entrepreneurial students with industry and start-ups to turn ideas into AI-driven innovations.

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La Trobe AI Courses

Postgraduate

Master of Artificial Intelligence

Gain expertise in AI and machine learning, covering deep learning, reinforcement learning and GANs, then apply your skills through a placement and an industry or research project.

Postgraduate

Master of Business Analytics

Develop advanced analytics and AI skills to drive business decisions, building dashboards, predictive models and cloud applications through industry placements and real-world business case studies.

Undergraduate

Bachelor of Business

Build solid business foundations across nine majors in a degree with AI concepts and tools embedded across every subject, with case studies, real-world projects and an optional industry placement.

AI in Teaching and Learning

At La Trobe University, AI is being actively integrated to enhance learning and teaching experiences.

Evaluating Generative AI in Schools

Evaluating Generative AI in Schools

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OpenAI collaboration drives inclusion and innovation

OpenAI collaboration drives inclusion and innovation

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Embedding responsible AI practice

La Trobe University embraces AI as a value-led force for positive change. While recognising AI’s potential to enhance teaching, learning, research, innovation and operational efficiency, the University maintains a principled approach that prioritises responsible considerations and oversight.

Responsible AI at La Trobe

Responsible AI at La Trobe

We are building a foundation where innovation meets compassion, ensuring every AI decision reflects our values, protects our academic spirit and commitment to using AI with transparency, accountability and professional judgement.

Read our policy

Our AI positioning statement

Our principled approach anchors the AI journey in essential standards that protect academic integrity while driving innovation. Each advance must demonstrate clear value, uphold ethical standards, and serve our community’s needs.

News and announcements

Our thinkers and innovators

Phil Laufenberg

Phil Laufenberg

Australia’s first Pro Vice-Chancellor (Artificial Intelligence) and Chief Artificial Intelligence Officer.

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Patricia Haueiss

Patricia Haueiss

Managing Director, La Trobe AI Institute. Patricia Haueiss oversees the Institute’s delivery, partnerships and public engagement, supporting the university’s AI agenda through applied initiatives and thought leadership. Recognised as one of Australia’s Top 100 Innovators.

Distinguished Professor Wei Xiang

Distinguished Professor Wei Xiang

Cisco Research Chair of AI and Internet of Things. Director & Chief Scientist, Australian Centre for AI in Medical Innovation. Founding Director, Cisco-La Trobe Centre for AI and IoT.

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Professor Daswin De Silva

Professor Daswin De Silva

Full Professor of AI and Analytics, Deputy Director of the Centre for Data Analytics and Cognition (CDAC), and the Deputy Chair of the Research and Graduate Studies Committee, Academic Board at La Trobe.

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Professor Miriam Tanti

Professor Miriam Tanti

Associate Dean, Academic Partnerships and Director of the Commonwealth-supported Nexus program.

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Professor Nilmini Wickramasinghe

Professor Nilmini Wickramasinghe

Optus Chair in Digital Health. For more than 25 years, she has been actively, researching and teaching within the health informatics/digital health domain with over 400 scholarly publications, a patent, 30 books, and a successful grant funding portfolio.

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Professor Damminda Alahakoon

Professor Damminda Alahakoon

Professor of Business Analytics and Artificial Intelligence and Founding Director of the Research Centre for Data Analytics and Cognition (CDAC).

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Dr Simon Egerton

Dr Simon Egerton

Director of the Technology Innovation Lab and leads the Regional Rural Remote Digital Health Research Group.

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Dr Sophia Duan

Dr Sophia Duan

Associate Dean, Research and Industry Engagement and an Associate Professor at La Trobe Business School.

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Chatham Vidanagamage

Chatham Vidanagamage

Director of AI Delivery and Enablement at La Trobe, leading the translation of enterprise AI strategy into scalable, production-grade solutions that deliver measurable impact.

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Dr Jane Leong

Dr Jane Leong

Director Development, Australian Centre for Artificial Intelligence in Medical Innovation.

Dr Prakash Veeraraghavan

Dr Prakash Veeraraghavan

Head of Department (Computer Science and IT), Department of Computer Science and Information Technology.

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Sarah Midford

Sarah Midford

Pro Vice Chancellor Learning and Teaching. National leader in future-focussed educational reform; embedding AI at scale, improving equity and inclusion, student success and retention, and student experience across online and on campus learning. Australian Awards for University Teaching citation recipient and Advance HE Senior Fellow.

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Dr Lorne Neudorf

Dr Lorne Neudorf

Dean, La Trobe Law School.

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Dr Zhen He

Dr Zhen He

Associate Professor, Computer Science and IT.

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Dr Shalinka Jayatilleke

Dr Shalinka Jayatilleke

Senior Lecturer, Business Analytics and Artificial Intelligence.

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