On October 27, 2026, the Institute for Digital Technology and Economy at Hanoi University of Science and Technology (HUST) successfully hosted its October Lunch Seminar on the first floor of the HUST-MB Building. The seminar provided an academic forum for presenting recent research findings, exchanging ideas, and fostering connections among researchers, lecturers, postgraduate students, and undergraduates from universities across Hanoi.

The programme featured three research presentations, offering diverse perspectives on digital economy research, artificial intelligence applications, and interdisciplinary collaboration.

1. Dr. Do Ba Lam – Institute for Digital Technology and Economy, Hanoi University of Science and Technology, presented “Mapping Digital Economy Research at Selected Universities in Hanoi.” The presentation provided an overview of digital economy research across higher education institutions, highlighting emerging research trends, prominent areas of interest, and differences in academic orientations among institutions. Dr. Lam also emphasised the potential for interdisciplinary collaboration, particularly through the integration of digital technologies, mathematical modelling, and economic problems to enhance both research quality and practical relevance.
2. Dr. Luong Van Thien – Lecturer at the Faculty of Data Science and Artificial Intelligence, National Economics University; Head of Business AI Lab, presented the research entitled “DTR-FS: Directed Temporal Role Graphs with Multi-Hop Context and Feature Selection for Ethereum Phishing Account Detection.” The presentation introduced an AI- and graph-learning-based approach to detecting phishing accounts on the Ethereum network. By leveraging transaction structures, relationships between accounts, and temporal information, the research aims to improve the identification of fraudulent activities in digital financial environments, addressing key challenges related to the security and reliability of blockchain platforms.
3. Dr. Doan Quang Hung – FTU Tech Lab, Foreign Trade University, delivered a presentation on “Research Directions and Promoting Interdisciplinary Collaboration in Technology and Economics.” The presentation focused on the development of AI applications in economics, finance, and public policy, while introducing FTU Tech Lab's research model, technological infrastructure, and collaborative ecosystem. In particular, the concepts of Embedded AI and Explainable AI were highlighted as important approaches to integrating artificial intelligence solutions into business management and policymaking.

Through these three presentations, the October Lunch Seminar facilitated in-depth discussions on emerging research trends and the practical application of technology to address economic challenges. The event also provided opportunities for researchers, research groups, and academic institutions to connect and explore potential collaborations, contributing to the advancement of interdisciplinary research and practical innovation in the digital economy.

The Institute for Digital Technology and Economy at Hanoi University of Science and Technology would like to express its sincere appreciation to the speakers and all participating researchers, lecturers, postgraduate students, and undergraduates for their contributions to the success of the seminar.