جست‌وجوی استاد و پژوهشگر

Sieh-Chuen Huangمشاهده پروفایل

استاد

• Family Law
• Estate Planning
• Trusts and Estates
• +۴ مورد دیگر

Professor Sieh-Chuen Huang is a full-time faculty member at the College of Law, National Taiwan University (NTU), where she currently serves as Vice Dean and Professor of Law. She has held progressive academic ranks at NTU since 2009, including Assistant Professor (2009-2014), Associate Professor (2014-2020), and Professor (2020-present). Her academic journey began at NTU with a Bachelor of Laws (2001), followed by advanced degrees from Hokkaido University, Japan, where she earned her Master of Laws (2004) and Doctor of Juridical Science (2006). Doctor of Juridical Science, Hokkaido University Master of Laws, Hokkaido University Bachelor of Laws, National Taiwan University Professor Huang's research focuses on family law, guardianship systems, trusts and estates, empirical legal studies, and legal analytics. Her work examines intergenerational property transfer in aged societies, utilizing both doctrinal and data-driven approaches to analyze judicial decision-making patterns in family law and guardianship contexts. Her recent scholarly output demonstrates a strong emphasis on applying artificial intelligence and machine learning techniques to legal analysis, particularly in areas like child custody determinations, drunk driving sentencing, and guardianship for persons with disabilities. This innovative approach bridges traditional legal scholarship with computational methods. NTU Academic Advancement Young Chair Professorship (2024-27) NTU Research Performance Award (2021-27) Tsai Wan-Tsai Chair Professorship (2022) Outstanding Teaching and Mentoring Awards (2020) Excellent Young Scholars, Ministry of Technology and Science (2019) As a leader in legal education, Professor Huang directs NTU's Digital Law Center and has held editorial and administrative roles. Her work combines traditional civil law scholarship with cutting-edge legal analytics applications, making significant contributions to both academic research and policy development in elder law and family law.

Pei-Yu Houمشاهده پروفایل

استادیار

• Operations Management
• Statistical Data Analysis
• Natural Language Processing
• +۳ مورد دیگر

Pei-Yu Hou is an Assistant Professor in the Department of Business Administration at National Chengchi University's College of Commerce, specializing in Operations and Supply Chain Management. Dr. Hou joined the university in August 2024 and maintains an active research agenda that bridges technical computing with business applications. Dr. Hou's research expertise spans Operations Management, Statistical Data Analysis, Natural Language Processing, and Database Management. Their work demonstrates an interdisciplinary approach combining computer science techniques with business administration principles, particularly in supply chain systems. The research trajectory shows progression from technical engineering foundations to practical business applications. Dr. Hou has published in top-tier venues including the Proceedings of the 2022 International Conference on Management of Data (SIGMOD '22), with research focusing on knowledge-graph embeddings and pathway analysis. Their current scholarly work shows strong connections between artificial intelligence methodologies and operational business challenges, particularly in supply chain management. Operations Management Statistical Data Analysis Natural Language Processing Database Management Supply Chain Management AI Applications in Business Dr. Hou is currently Principal Investigator for significant research projects funded by the National Science and Technology Council focused on utilizing AI models to construct and explore supply chain networks, indicating a growing research program with practical business implications.

Hung-Yi Leeمشاهده پروفایل

استاد

• Machine learning
• Deep learning
• Semantic understanding
• +۱ مورد دیگر

Hung-Yi Lee is a full-time Professor at National Taiwan University specializing in artificial intelligence and speech processing. His academic role is explicitly listed under the institution's faculty directory with active status. His research focuses on core areas of machine learning and deep learning, particularly applied to semantic understanding and speech recognition systems. These fields drive advancements in natural language processing and human-computer interaction technologies. He maintains an active academic presence through his personal website: http://speech.ee.ntu.edu.tw/~tlkagk/ .

• Software Security
• Formal Verification
• String Analysis
• +۵ مورد دیگر

Dr. Fang Yu is an Associate Professor at the Department of Management Information Systems, National Chengchi University, specializing in software security, formal verification, and string analysis. They hold a Ph.D. in Computer Science from the University of California, Santa Barbara. Research Expertise: Dr. Yu focuses on cybersecurity, formal methods for software verification, and machine learning applications in data clustering and adversarial example detection. Their work bridges theoretical computer science with practical security solutions. Publication Trends: Recent articles address biomedical data clustering ( scGHSOM ), explainable AI ( XFlag ), and adversarial defense mechanisms. Topics span bioinformatics, security verification, and fairness testing in neural networks. Awards: 資深優良教師(10年) (2020, National Chengchi University) 國科會研究獎勵 (2019, National Science Council, Taiwan) Projects: Principal Investigator for 15+ grants from Taiwan's National Science and Technology Council and Ministry of Education, focusing on AI security, IoT verification, and financial technology.