Quoc Toan Nguyen
Visiting 成人大片
Winter 2026
Toan-Quoc Nguyen is a PhD student at TU Dortmund University in Germany, where he works as a research assistant in the Human鈥揂I Interaction group at the Research Center for Trustworthy Data Science and Security. He earned his Bachelor鈥檚 degree in Computer Science from Can Tho University of Technology in Vietnam, graduating in the top 15% of his cohort, and later completed a fully funded Master鈥檚 degree at Hongik University in South Korea, specialising in computer vision. During this period, he also undertook a government-funded research internship at Yuan Ze University in Taiwan. Before joining TU Dortmund University, Toan spent nearly two years as a graduate researcher at the University of Technology Sydney (UTS) in Australia, contributing to projects on EEG-based dementia detection and imagined/silent speech decoding for AI-driven healthcare applications. With more than four years of research experience across AI and HCI, he has authored or co-authored over ten publications in notable venues such as ACM UMAP, ACM UbiComp, IEEE TNSRE / Sensors Letters, ACM ETRA, ACL, ACM AIES, ACM Multimedia, and PAKDD. He has recently been awarded the Best Paper Award at ACM ETRA 2025 and received the Vietnam鈥揂ustralia Technologies Scholarship in recognition of his strong potential and contributions to emerging technologies.
Research focus while a Bridging Divides Future Leaders Fellow
The research focuses on developing a responsible AI framework for dementia detection using EEG, integrating fairness metrics, bias mitigation techniques, and regulatory insights. It aims to address health disparities by ensuring equitable AI performance across demographic groups. The work aligns with Bridging Divides鈥檚 mission by combining technical innovation with policy analysis to guide inclusive, governance-aware deployment of AI in healthcare, particularly for underserved populations. Expected outcomes include fairness evaluation tools and policy recommendations that help reduce disparities and promote equitable access to dementia care.
