Bio
Dr. Deliang Wang received his PhD degree at the University of Hong Kong in 2026. His research sits at the intersection of Human Development, Explainable AI, and the Natural Language Processing (NLP), with a focus on understanding and responsibly shaping how AI transforms human learning, knowledge access, and information behaviour. He combines technical expertise in building and fine-tuning large language models, designing explainable AI systems, and developing computational tools with rigorous social science training in mixed-methods research design, learning analytics, and human-centered evaluation.
His work is guided by the conviction that AI in learning and knowledge contexts is not just a technical challenge but a human design problem. He aims to ensure that AI systems foster human flourishing — through transparency, equity, and designs that genuinely empower the people who use them — with direct applications in formal and informal learning environments, as well as public knowledge systems.
He has published 48 peer-reviewed articles, with 31 as first/corresponding author and 22 in SSCI/SCI-indexed journals, receiving 1,500+ Google Scholar citations. He serves as an editorial board member for Discover Computing (an SCI-indexed journal) and an early career editorial board member of Education and Information Technologies (an SSCI-indexed journal).