جستجوی استاد راهنمای دانشگاهی

Professor Raylin Tso is a distinguished faculty member at National Chengchi University (NCCU), serving as a Professor in the Department of Computer Science within the College of Informatics. He also holds significant administrative positions including Vice Dean of the College of Informatics and Director of the Information Security Center. With extensive research experience spanning over two decades, Professor Tso has established himself as a leading expert in cryptography and information security. Professor, Department of Computer Science, NCCU (2020-present) Vice Dean, College of Informatics, NCCU (2024-2026) Director, Information Security Center, NCCU (2023-present) Director, Master Program in Information Security, NCCU (2023-present) Professor Tso earned his PhD in Systems and Information Engineering from the University of Tsukuba, Japan (2004-2006), following two master's degrees from the same institution in Systems Engineering (2002-2004) and Business Administration (2000-2002). He completed his undergraduate studies in Industrial Engineering at National Tsing Hua University, Taiwan (1991-1995). Professor Tso's research focuses on advanced cryptographic systems with particular emphasis on post-quantum cryptography, blockchain security, and privacy-preserving technologies. His work spans theoretical foundations of cryptographic protocols to practical implementations in real-world systems. Recent research has increasingly concentrated on quantum-resistant cryptographic schemes, secure multi-party computation, and applications of cryptography in emerging technologies like IoT and smart contracts. His research group actively explores the intersection of traditional cryptographic techniques with modern computing paradigms, addressing security challenges in cloud computing, distributed systems, and digital identity management. Analysis of Professor Tso's recent publications reveals a strong trajectory toward post-quantum cryptography and privacy-enhancing technologies. His work demonstrates increasing sophistication in addressing quantum computing threats to traditional cryptographic systems while maintaining practical efficiency. A significant portion of his recent research focuses on identity-based encryption systems, searchable encryption techniques, and secure protocols for distributed environments. The interdisciplinary nature of his work is evident in applications spanning financial technology, healthcare data security, and vehicular networks. Distinguished Professor, National Chengchi University (2022, 2024) MOST Research Award (2020-2023) Best Journal Paper Award, Algorithms and Computational Theory Society (2017) Outstanding Researcher, Korea Information Processing Society Senior Excellent Teacher Award (10 years), National Chengchi University Professor Tso has successfully mentored numerous graduate students, including PhD candidate Zi-Yuan Liu who frequently appears as a co-author on recent publications. He has secured substantial research funding from Taiwan's National Science and Technology Council (NSTC), formerly known as MOST, with multiple ongoing projects focused on next-generation cryptography, blockchain security, and privacy-enhancing technologies. His current research portfolio includes several multi-year projects totaling millions in funding, with particular emphasis on post-quantum cryptography migration, secure digital identity systems, and quantum-resistant blockchain technologies. Professor Tso leads the Information Security Center at NCCU and is actively involved with multiple research laboratories including the Blockchain Payment Network Research Lab and the Quantum Security Research Group. His team collaborates extensively with industry partners including Chunghwa Telecom Research Institute and the Financial Information Corporation, bridging academic research with practical security applications. The research group maintains strong international collaborations with institutions in Japan, South Korea, and the United States, contributing to the global advancement of cryptographic research.

• Cryptography
• Information Security
• Blockchain Technology
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Wen-Chin Chen is a Professor at National Taiwan University in the Department of Computer Science and Information Engineering. With a PhD in Computer Science from Brown University (1984), his expertise spans algorithms , multimedia systems , and quantum computing . Previously at GTE Laboratories (1984–1987), he has taught foundational courses such as Algorithms , Mathematical Analysis of Algorithms , and Quantum Algorithms . Education: BS in Mathematics, National Taiwan University (1976) PhD in Computer Science, Brown University (1984) His research integrates design and analysis of algorithms with applications in multimedia synchronization and quantum computing . Publications reflect deep engagement with data structures , combinatorics , and real-time system design , including work on audio-video synchronization models , heap-ordered trees , and genetic algorithm optimization . Recent projects involve quantum algorithms (e.g., Shor's, Grover's) and linear algebra for geometric and matrix operations, indicating ongoing contributions to theoretical computer science and applied mathematics .

• Design and Analysis of Algorithms
• Multimedia Systems
• Quantum Algorithms
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Yen Huan Li is an Associate Professor in the Department of Computer Science and Information Engineering at National Taiwan University's College of Engineering. He leads the Learning Theory and Optimization Methods Laboratory and maintains an active research program in theoretical machine learning and optimization. His research expertise spans machine learning, convex optimization, high-dimensional statistics, and quantum information theory . Professor Li specializes in decision making under uncertainty with weak or no assumptions about reality, developing theoretical frameworks that bridge game theory and machine learning. His recent work focuses on Blackwell approachability, probability forecasting calibration, online prediction algorithms, and optimization methods for strongly convex problems. These theoretical contributions have implications for designing robust machine learning algorithms that perform well under minimal assumptions. Professor Li is actively recruiting students and research assistants interested in theoretical aspects of machine learning and optimization. Prospective students must demonstrate knowledge of relevant theory papers and be prepared to discuss them in depth. His laboratory work emphasizes rigorous mathematical analysis of learning algorithms, with applications spanning from basic theoretical questions to practical algorithm design considerations. The research environment combines deep theoretical investigation with attention to practical implications for machine learning systems.

• Machine Learning
• Optimization
• High-dimensional Statistics
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Anthony Francis is an Associate Professor at the Institute of Physics, National Yang Ming Chiao Tung University. His research focuses on Lattice Field Theory, particularly applying high-performance computing for non-perturbative calculations in particle and nuclear physics. Notable contributions include predicting the existence of heavy tetraquark states confirmed experimentally at CERN (2019–2020) and pioneering work on the muon magnetic moment (g-2 factor). He has held positions at CERN, York University, and the Albert Einstein Center. Education: Ph.D. in Physics from Bielefeld University, Germany. Research interests emphasize lattice QCD applications in understanding fundamental particle interactions, including tetraquarks, dark matter theories, and early universe nucleosynthesis. His work bridges computational physics with experimental validations, earning him a 2019 plenary talk invitation at the International Symposium on Lattice Field Theory. Key collaborations include studies at CERN and contributions to high-impact journals like Physical Review D and Journal of High Energy Physics .

• Lattice Field Theory
• Quantum Chromodynamics (QCD)
• Standard Model Phenomenology
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