together with the 18th conference NYCU International Finance Conference

AI@(Security, Ethics, Finance)

Welcome to the 4th Yushan Conference! This year's event focuses on AI in security, ethics, and finance, bringing together professionals from academia and industry. Join us for insightful keynotes an interactive sessions, and workshops on the latest advancements in AI, including its role in security, ethical considerations, and financial applications. Enhance your knowledge, network with experts, and explore the transformative impact of AI in this two-day event.

This initiative aligns with Taiwan's Ministry of Education's Yushan Scholar Fellow Program, which is dedicated to enhancing research cooperation and fostering global research integration.

We encourage invited speakers to submit their research papers to the special issue Financial Crime in the Digital Era in the journal Digital Finance. The guest editors are Monica Violeta Achim ([email protected]) and Codruta Mare ([email protected]). For more information, please visit

Digital Finance Special Issue

<aside> <img src="/icons/archive_gray.svg" alt="/icons/archive_gray.svg" width="40px" /> Our previous event: The 3rd Yushan Conference

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Organizer:

National Taipei University of Technology, Taipei (Day 1)

National Yang Ming Chiao Tung University, Hsinchu (Day 2)

<aside> <img src="/icons/calendar_gray.svg" alt="/icons/calendar_gray.svg" width="40px" /> December 05-06, 2024

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Keynote Speaker

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Daniel Traian Pele

Bucharest University of Economic Studies, Romania

Daniel Traian Pele is Professor at the Department of Statistics and Econometrics, the Bucharest University of Economic Studies, Romania, teaching Statistics of Financial Markets and Time Series. The corresponding research profile is that of a data scientist, focused on statistical modelling of financial markets and digital assets

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Stefan Lessmann

Humboldt University of Berlin, Germany

Stefan Lessmann is Professor of Information Systems at the Humboldt-University of Berlin. His research concerns machine learning and artificial intelligence (MLAI) methodologies and their use cases in managerial decision support. He focuses on MLAI applications in marketing and risk analytics and actively participates in knowledge transfer and consulting projects with industry partners; from start-up companies to global players and not-for-profit organizations

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Chuan-Ju Wang

Academia Sinica, Taiwan

Chuan-Ju Wang completed her Ph.D. in Computer Science and Information Engineering at National Taiwan University in 2011. She currently holds the position of Research Fellow at the Research Center for IT Innovation, Academia Sinica in Taiwan. Her research focuses on computational finance and data analytics

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Mark L. Shope

National Yang Ming Chiao Tung University, Taiwan

Mark L. Shope is Professor of Law at School of Law of National Yang Ming Chiao Tung University, Taiwan. His research areas include include policy and human rights issues relating to the use of artificial intelligence, cross-border transactions utilizing blockchain technology, design thinking, and online learning


Agenda (The agenda may be subject to updates)

December 05, 2024

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December 06, 2024

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Abstracts


Organizer