My research has attracted media attention across television, radio, national and regional news, international science media, government communications and other public-facing platforms. This page highlights selected media coverage and public engagement arising from my research in artificial intelligence, computer vision, intelligent sensing, remote sensing and autonomous systems.

The crocodile-detection project achieved broad multi-platform visibility through television, national and regional radio, ABC News, Australian Associated Press syndication, regional newspapers, online media, Queensland Government communications and university media.

The coverage also positioned the research within a broader discussion of public safety, environmental monitoring and the practical use of artificial intelligence in northern Australia. The project continued to receive regional coverage beyond the initial March 2026 media cycle, including a feature in The Express Newspaper in May 2026.

Our research on deep-learning-based multimodal remote sensing for oil-spill detection attracted national and international science-media attention.

The study developed an AI approach combining synthetic aperture radar and hyperspectral imagery to improve identification of oil-spill location, characteristics and type. The work was led by my PhD student Quanwei Liu, and I supervised the research. Media coverage highlighted both the methodological advance and its potential application to environmental monitoring.

22 October 2025 — JCU Featured News  “AI breakthrough transforms oil spill detection”

JCU highlighted the research as a new approach to high-precision oil-spill detection from satellite imagery and discussed its potential significance for environmental monitoring. The feature includes my explanation of the multimodal sensing approach and its potential extension to other environmental applications.

Read the JCU feature

22 October 2025 — Phys.org   “AI algorithm combines different satellite imagery for precise oil spill detection”

Phys.org provided international science-media coverage of the research. The article explains how combining SAR and hyperspectral imagery improves oil-spill detection and quotes me on extending deep-learning and remote-sensing approaches to water quality, forests, disasters and other environmental-monitoring challenges.

Read the Phys.org feature

2025 — Yahoo News   “Researchers make crucial breakthrough using space-based AI: ‘This is a major step forward’”

The research was subsequently featured for a broader mainstream online audience through Yahoo News.

Read the Yahoo News story

2025 — ABC Nightlife   AI & Oil Spill Detection

I joined ABC Nightlife to discuss the research and the potential of artificial intelligence and remote sensing for environmental monitoring. The appearance is also recorded in my JCU Research Portfolio as a media activity.

Listen on ABC Nightlife

22 October 2025 — The National Tribune    “AI Breakthrough Transforms Oil Spill Detection”

The National Tribune carried the research story and included my explanation of how SAR and hyperspectral imagery complement each other, as well as the broader environmental-monitoring potential of the work.

Read The National Tribune story

13 November 2025 — United Nations Office for Outer Space Affairs, UN-SPIDER
“AI Combines Satellite Data to Improve Oil Spill Detection”

The United Nations Platform for Space-based Information for Disaster Management and Emergency Response highlighted the research in the context of using space-based technologies for disaster management. UN-SPIDER noted its potential to reduce environmental harm, strengthen marine protection and contribute to broader environmental hazard detection.

Read the UN-SPIDER feature

The oil-spill research progressed from a scholarly publication to university media, international science media, mainstream online media, national radio and a United Nations knowledge platform, demonstrating the broader environmental relevance and accessibility of the research.

In addition to mainstream media, my applied AI research has been featured through JCU research centres and public-facing research platforms.

AI and Computer Vision for Environmental Monitoring in Northern Australia

James Cook University's Agriculture Technology and Adoption Centre (AgTAC) has featured my broader research program applying AI, computer vision and intelligent sensing to environmental monitoring in Northern Australia.

The feature discusses applications including water-discharge monitoring, environmental sensing and field-deployable AI systems, and highlights my broader objective of translating technical advances into scalable tools for communities, government and industry.

AI and Computer Vision: Transforming Environmental Monitoring in Northern Australia

Fire-Risk Vegetation Mapping Using AI

AgTAC has also featured our research using aerial imagery and AI to identify and map fire-prone vegetation such as gamba grass and mission grass, with the goal of supporting proactive vegetation management and improved fire preparedness.

Fire-Risk Vegetation Mapping Using AI