Associate Professor, National Taiwan Normal University, Taiwan
Dr. Yun-Cheng Tsai is a distinguished researcher and educator specializing in blockchain technology, financial vision, artificial intelligence, and educational analytics. He is currently a faculty member at the National Taiwan Normal University, Department of Technology Application and Human Resource Development. With a strong background in computer science and information engineering, Dr. Tsai has contributed significantly to various domains, including educational metaverse environments, reinforcement learning in finance, and data privacy protection. His interdisciplinary research integrates technology and human resource development, making a substantial impact on academia and industry. 🌏💡
Publication Profile
🎓 Education
Dr. Tsai earned his Ph.D. in Computer Science and Information Engineering from National Taiwan Normal University (2009-2016) 🎓. His academic journey also includes prestigious research stays at the Max Planck Institute for the History of Science and Humboldt-Universität zu Berlin, where he collaborated on pioneering technological advancements in data science and blockchain applications. 🌍📖
💼 Experience
With a rich academic career spanning multiple institutions, Dr. Tsai has held faculty positions at several esteemed universities in Taiwan. Before joining National Taiwan Normal University in 2022, he was affiliated with Soochow University (2019-2022), National Taiwan University (2017-2019), and National Taipei University of Business (2016-2017). His expertise in blockchain and AI applications has also led to extensive research collaborations globally. 🏫🔬
🏆 Awards and Honors
Dr. Tsai’s contributions to blockchain technology, financial data security, and educational analytics have earned him recognition in the research community. His invited research positions at the Max Planck Institute and Humboldt-Universität zu Berlin highlight his international reputation. 🏅📜
🔬 Research Focus
Dr. Tsai’s research spans blockchain applications in financial systems, reinforcement learning for trading strategies, and AI-driven educational environments. He has developed innovative solutions for transparency in carbon credit markets, interactive learning tools for blockchain education, and privacy-preserving financial vision models. His work is widely cited and influences both academic and industry advancements. 🚀📊
🔍 Conclusion
Dr. Yun-Cheng Tsai is a leading academic in blockchain technology, AI, and educational analytics, making significant contributions to transparency in financial markets, metaverse learning, and AI-powered trading strategies. His global collaborations and impactful research continue to shape the future of technology and education. 🌟📡
🔗 Publications
Enhancing Transparency and Fraud Detection in Carbon Credit Markets Through Blockchain-Based Visualization Techniques – Electronics (2025) 🔗 DOI: 10.3390/electronics14010157
Empowering Young Learners to Explore Blockchain with User‐Friendly Tools: A Method Using Google Blockly and NFTs – IET Blockchain (2024) 🔗 DOI: 10.1049/blc2.12055
Empowering Students Through Active Learning in Educational Big Data Analytics – Smart Learning Environments (2024) 🔗 DOI: 10.1186/s40561-024-00300-1
Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems Through Natural Interaction and Text Mining – Journal of Metaverse (2023) 🔗 DOI: 10.57019/jmv.1302136
Financial Vision-Based Reinforcement Learning Trading Strategy – Analytics (2022) 🔗 DOI: 10.3390/analytics1010004
The Protection of Data Sharing for Privacy in Financial Vision – Applied Sciences (2022) 🔗 DOI: 10.3390/app12157408
Dynamic Deep Convolutional Candlestick Learner – arXiv (2022) 🔗 Scopus ID: 85123711664
A Pricing Model with Dynamic Credit Rating Transition Matrices – Journal of Risk Model Validation (2021) 🔗 DOI: 10.21314/JRMV.2021.007