Dr. Yong-Bin Kang is a Senior Data Science Research Fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology. He holds a PhD in AI from Monash University, where his thesis, “USIMSCAR: A Retrieval Strategy for Case-based Reasoning using a Combination of Similarity and Association Knowledge,” contributed to advancing case-based reasoning methodologies. He also serves as the Data Manager at the Australian Internet Observatory (AIO), Co-Lead for the Human-Computer Interaction Program at the Social Innovation Research Institute (SIRI), and AI Innovation Program Lead at the Digital Innovation Lab (DIL). His research focuses on Generative AI, natural language processing, machine learning, and decision-making optimisation, with a strong emphasis on developing AI-driven solutions for societal challenges. He applies AI to a wide range of fields, including healthcare, humanitarian, education, financial planning, environmental health, and justice, prioritising ethical and responsible AI to improve decision-making and societal well-being. Through his leadership and research, Dr. Kang continues to drive responsible AI innovation, advancing Generative AI and broader AI for social good, while fostering impactful collaborations across academia, industry, and government.
Swinburne University of Technology
Melbourne, Victoria, Australia
Department of Media and Communications
iAwards 2023 Victoria & Australia Winner
Australian Information Industry Association
Victoria & Australia Winner in ‘Government & Public Sector Solution’ – Next Generation AI‑ powered Road Condition Monitoring Solution
iAwards 2023 Victoria Merit Recipient
Australian Information Industry Association
Victoria Merit Recipient in ‘Technology Platform Solution’ – AI Question and Assessment Generator
2023 ITS Australia Awards
Intelligent Transport Systems
Finalist Nomination – SmartGarbos ‑ AI‑powered 5G Garbage Trucks for Roadside Asset Management
Swinburne's Vice‑Chancellor Engaged Awards 2022
Swinburne University of Technology
Vice‑Chancellor Engaged Awards
Top cited paper in 2021 Citation Report
The Web of Science
Selected as the top cited paper in the 2021 Citation Report of the Web of Science. Paper title: “Healthcare 4.0: A review of frontiers in digital health”