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.
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.