معرفی
Dr. Hongda Tian is a Senior Lecturer at the University of Technology Sydney's Data Science Institute within the Faculty of Engineering and Information Technology. With a strong background in AI and data science, he focuses on translating research into practical solutions for real-world problems across multiple sectors including water, transport, energy, and retail.
- BSc and MEn from Beijing University of Posts and Telecommunications (2006, 2009)
- PhD from University of Wollongong, Australia (2015)
- Postdoctoral Fellow with DATA61 | CSIRO
- Computer Vision Scientist with Kandao Australia Pty Ltd
- Associate Research Fellow with University of Wollongong
Dr. Tian's research spans artificial intelligence, computer vision, data science, and machine learning with a focus on practical applications. His work combines theoretical advancements with industry implementation, particularly in environmental sustainability, water management, and infrastructure monitoring. He excels at transforming real-world issues into data science problems and developing appropriate solutions that demonstrate industrial applicability to stakeholders.
His publication record shows a clear trend toward applying AI to critical infrastructure and environmental challenges, with recent work focusing on water quality prediction, electricity price forecasting, carbon intensity modeling, and bushfire smoke detection. These publications appear in top journals including International Journal of Computer Vision, IEEE Transactions on Image Processing, and IEEE Transactions on Multimedia.
- 2025 The Australian Financial Review AI Awards (Sustainability category)
- 2024 NSW iAwards Winner for Sustainability & Environmental Solution
- 2024 NSW Merit iAwards for Government & Public Sector Solution
- 2024 Distilling Research Impact
- 2023 NSW Merit iAwards for Sustainability & Environmental Solution
- Chinese Government Award for Outstanding Self-financed Students Abroad
Dr. Tian has secured approximately $1.07 million in external research funding as Chief Investigator since 2020 and has led or delivered over 15 research innovation projects with government and industry partners. His projects span multiple sectors including water (Dynamic Prediction of Raw Water Quality, Water Quality Prediction for Drinking Water Delivery Systems), transport (Structural Health Monitoring for Sydney Harbor Bridge, Computer Vision-Based Track Defect Detection), energy (Electrical Network-Related Incidents Prediction), and retail (Woolworths Endcap Compliance). He serves on thesis examination committees and as an editorial board member and reviewer for over 20 peer-reviewed journals and conferences.
