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Te Whiri Kawe Centre for Data Science and Artificial Intelligence
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Te Whiri Kawe Data Science and Artificial Intelligence
  • Te Whiri Kawe / Centre for Data Science and Artificial Intelligence
  • Our people
  • Research themes
    • Modelling and statistical learning
    • Evolutionary and multi-objective learning
    • Deep learning and transfer learning
    • Image, text, signal, and language processing
    • Scheduling and combinational optimisation
    • Interpretable artificial intelligence and machine learning
  • Application themes
    • Primary industry
    • Climate change and the environment
    • Health and biomedical sciences
    • Security, energy, and high-value manufacturing
    • Society, public policy, and ethics
  • Current research projects
    • Data science for aquaculture
    • Cyber-physical seafood systems
    • Remote sensing and tree modelling
    • Precision farming technologies for aquaculture
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    • Intelligent Systems, Machine Learning, and AI
    • Artificial intelligence—service and cloud computing
    • Evolutionary computation and machine learning
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  • Contact the centre
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  • Research themes
    • Modelling and statistical learning
    • Evolutionary and multi-objective learning
    • Deep learning and transfer learning
    • Image, text, signal, and language processing
    • Scheduling and combinational optimisation
    • Interpretable artificial intelligence and machine learning
  • Application themes
    • Primary industry
    • Climate change and the environment
    • Health and biomedical sciences
    • Security, energy, and high-value manufacturing
    • Society, public policy, and ethics
  • Current research projects
    • Data science for aquaculture
    • Cyber-physical seafood systems
    • Remote sensing and tree modelling
    • Precision farming technologies for aquaculture
  • Research groups
    • Intelligent Systems, Machine Learning, and AI
    • Artificial intelligence—service and cloud computing
    • Evolutionary computation and machine learning
    • Data science
    • Artificial intelligence and society
  • Scholarships
    • Centre of Data Science and Artificial Intelligence projects
  • Contact the centre
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  • Recent awards and recognition
  • Our people
  • Research themes
  • Modelling and statistical learning
  • Evolutionary and multi-objective learning
  • Deep learning and transfer learning
  • Image, text, signal, and language processing
  • Scheduling and combinational optimisation
  • Interpretable artificial intelligence and machine learning
  • Application themes
  • Primary industry
  • Climate change and the environment
  • Health and biomedical sciences
  • Security, energy, and high-value manufacturing
  • Society, public policy, and ethics
  • Current research projects
  • Data science for aquaculture
  • Cyber-physical seafood systems
  • Remote sensing and tree modelling
  • Precision farming technologies for aquaculture
  • Research groups
  • Intelligent Systems, Machine Learning, and AI
  • Artificial intelligence—service and cloud computing
  • Evolutionary computation and machine learning
  • Data science
  • Artificial intelligence and society
  • Scholarships
  • Centre of Data Science and Artificial Intelligence projects
  • Contact the centre
  • News
  • Recent awards and recognition
  • Home
  • Centre for Data Science and Artificial Intelligence
  • Research themes
Te Whiri Kawe Data Science and Artificial Intelligence
  • Te Whiri Kawe / Centre for Data Science and Artificial Intelligence
  • Our people
  • Research themes
    • Modelling and statistical learning
    • Evolutionary and multi-objective learning
    • Deep learning and transfer learning
    • Image, text, signal, and language processing
    • Scheduling and combinational optimisation
    • Interpretable artificial intelligence and machine learning
  • Application themes
    • Primary industry
    • Climate change and the environment
    • Health and biomedical sciences
    • Security, energy, and high-value manufacturing
    • Society, public policy, and ethics
  • Current research projects
    • Data science for aquaculture
    • Cyber-physical seafood systems
    • Remote sensing and tree modelling
    • Precision farming technologies for aquaculture
  • Research groups
    • Intelligent Systems, Machine Learning, and AI
    • Artificial intelligence—service and cloud computing
    • Evolutionary computation and machine learning
    • Data science
    • Artificial intelligence and society
  • Scholarships
    • Centre of Data Science and Artificial Intelligence projects
  • Contact the centre
  • News
  • Recent awards and recognition

Research themes

Explore research themes in the work of Te Whiri Kawe—Centre for Data Science and Artificial Intelligence.

Te Whiri Kawe—Centre of Data Science and Artificial Intelligence offer areas of expertise across several technology themes.

Stack of books whose spines all have titles referring to data mining

Modelling and statistical learning

We use intelligent modelling and statistical learning to build mathematical, statistical and logic models between output and input variables.

Many bees fly around a row of colourful hives

Evolutionary and multi-objective learning

We have the largest AI and machine learning research team in the southern hemisphere, with a focus on evolutionary learning and optimisation.

Scribbly lights in a globe shape against a dark background

Deep learning and transfer learning

We work across a number of deep learning paradigms. We're leaders in the automated design of deep learning models, including deep neural networks.

Close up of round mechanical device that has extending arms with propellors

Image, text, signal, and language processing

Our major areas of research include computer vision, image analysis and pattern recognition, and text mining and natural language processing.

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Scheduling and combinational optimisation

Scheduling and combinatorial optimisation is an important area in modern and high-value manufacturing, logistics, and supply chain management.

Student stands in front of multi-screen display while a second student operates a laptop

Interpretable artificial intelligence and machine learning

In some applications, such as in medicine and the law, having an AIML model that can be explained is as important as the result that it arrives at.

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