We conduct innovative artificial intelligence research to tackle real-world problems across various domains. Our team specialises in machine learning, natural language processing, computer vision and ethical AI systems, working closely with industry and community partners. We also focus on human-AI interaction and AI applications for healthcare, education and environmental sustainability. We're dedicated to creating culturally aware and responsible AI technologies that benefit society and make a positive impact on people's lives.
Te Ara Matihiko, led by Dr Hazel Abraham, advances responsible and human-centred approaches to artificial intelligence by centring Indigenous knowledge, whānau engagement and culturally grounded pathways into AI, immersive media and STEAM education.
The AUT–SXAU Joint Research Laboratory for AI and Intelligent Agriculture is a collaborative research initiative between Auckland University of Technology (AUT) and Shanxi Agricultural University (SXAU) in China.
The Medical Imaging AI group at AUT focuses on developing advanced deep‐learning solutions to improve medical image interpretation, especially under challenging data conditions such as limited labels and heterogeneous multimodal inputs for applications in brain and clinical diagnostics.
The AUT Knowledge Engineering and Discovery Research Institute (KEDRI) conducts world-leading research in the field of computational intelligence, neuroinformatics and bioinformatics, creating innovative applications of machine learning to advance human life and society. We develop novel information processing methods, technologies and their applications, and have produced extensive research output that is published in the field’s top ranking journals. At KEDRI, we work closely with a wide network of local and international partnerships and collaborators.
GeoEnviroSense (GES) conducts research at the intersection of artificial intelligence, geospatial science, and environmental monitoring. The group focuses on transforming multimodal sensor data from satellites, drones, and IoT networks into frameworks for analysis, forecasting, and decision support in environmental and sustainability contexts.
The Ethical AI Research Group at AUT is dedicated to advancing responsible and human-centred approaches to artificial intelligence. Our work focuses on fairness, transparency, accountability, privacy and the social impact of AI systems across diverse sectors. We collaborate across disciplines to critically examine how AI technologies are developed, deployed and governed. Through research, education and public engagement, we aim to ensure AI systems align with human values, promote equity, and support inclusive and sustainable innovation.
Core member: Parma Nand
Member: Hazel Abraham
We develop intelligent, human-centered technologies to transform healthcare diagnostics and decision-making. Our research focuses on AI-driven solutions for brain health, neurodegenerative and mental disorders, and clinical efficiency, with a strong emphasis on international collaboration and real-world impact.