This multidisciplinary research group comprises researchers with expertise in AI, computer vision, video compression, image processing, health informatics, general medicine, cardiology, deep learning, psychology, health management, information systems, etc.

Due to geographical distance from capital cities a major portion of regional people cannot access high-quality health services, like those in major cities. One of the aims of the MaViDH research group is to integrate technologies (i.e. wearable devices, AI-powered diagnosis, telemedicine, and mobile apps) into healthcare to promote preventive care, lower costs, and ensure better overall well-being.

Modern IT technologies with sophisticated sensors can ensure high productivity in our agriculture sectors. A further aim for the MaViDH research group is to tackle issues related to agricultural research for farmers, policy makers and other stakeholders through big data analytics, drone/hyperspectral/ remote sensing data collection and analysis of yield data.

Artificial intelligence, image and video processing, deep machine learning, and machine vision are the main theoretical and applied research areas of the MaViDH research group. Our technological innovations and commercialised mobile apps are supported by competitive project grants (e.g. ARC, CRC, ASPIRE), PhD supervisions, and industry collaborations.

The MaViDH research group works in collaboration with professionals, farmers, local/international bodies, academics, and government agencies to conduct research across the research themes related to health, agriculture, multimedia and other areas.

Our objectives

Our aim, as a group, is to coordinate activities that:

• foster knowledge creation
• develop technologies in agriculture, health and other key sectors
• promote public health awareness
• train and mentor researchers
• engage industry and external research groups.