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CADSI
- About us
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Our impact areas
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Nature
- AutoWeed: AI Sport Spraying for Smarter Weed Control
- Automated Detection and Counting of Flying-Foxes from Thermal Imagery
- Smart Detection of Marine Invasive Species for Biosecurity
- 3D LiDAR Mapping of Coral Restoration Gardens and Mangrove Ecosystems in Bali and Lombok, Indonesia
- Hyperspectral Satellite Monitoring of Post-Cyclone Water Quality in the Great Barrier Reef
- Automated Estimation of Snail Shell Volume and Morphology
- Health
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Economies
- Smart Sugarcane Health Monitoring Platform with Satellite Remote Sensing and Machine Learning
- AutoFish: AI Phenotyping for Tropical Aquaculture
- Detecting Variety Contamination in Sugarcane Plots
- Automating South Sea Pearl Phenotyping Through Masking and Deep Learning Algorithms
- Non-Destructive, High-throughput Phenotyping for Aquaculture: NIR Spectroscopy for the “Forensic” Chemical Analysis of Akoya Oyster and Red Algae
- Remote Sensing and Hydrodynamic Modelling for Flood-Driven Soil Erosion in Northern Queensland
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Communities
- Digital Twin Student
- The Place of AI in Higher Education Teaching, Learning and Assessment
- Beyond the Text: Exploring student engagement and perceptions of AI generated podcasts and infographics in higher education
- Guardrails or Handbrakes? How Australian Universities Frame AI in Policy, and the Dominance of Misconduct Narratives
- Equitable GenAI Co-Pilot for Engineering Education
- VEtheRBlocks: Teaching the Internet with AR and Toy Bricks
- Corrugation Control in Unsealed Roads: Mechanisms and Sustainable Solutions
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In an era where digital networks interlink humanity, mature-aged learners continuously seek online education to thrive in ever evolving global workplaces. However, high dropout rates pose potential financial risks for universities. Conversations with key stakeholders in universities and private education providers have revealed a significant need to integrate isolated systems such as enrolment, learning, wellbeing, and career management.
Our solution addresses this challenge by combining Artificial Intelligence with state of the art analytics to enhance student engagement, improve retention rates, and boost institutional revenue. We are exploring the potential of Digital Twin (DT) technology in education to enhance the capabilities of learning ecosystems. We conducted a customer discovery journey across Australia, the United States, the United Kingdom, and India, facilitated by the CSIRO OnPrime program in 2024, to explore the potential of DT for the tertiary sector. Based on the positive response, we are currently developing a Digital Twin prototype focused on students in higher education. In the future, these applications may be extended to primary and vocational education, ranging from laboratory equipment to student and educator digital twins, thereby expanding the market.
We invite collaborations in an innovative approach to revolutionising education, ensuring students succeed in their lifelong learning journeys through high quality educational experiences, while supporting the United Nations Sustainable Development Goal 4 (Quality Education).

Project Team and Collaborators:
Dr Kranthi Addanki
Dr Samantha Horseman
Dr Jason Holdworth
Naryan Kumar Addanki