جستجوی استاد راهنمای دانشگاهی

Jieh Hsiangمشاهده پروفایل

استاد

• Automated Reasoning
• Programming Language Logic
• Artificial Intelligence
• +۵ مورد دیگر

Jieh Hsiang is a Distinguished Professor at National Taiwan University , with affiliations in the Department of Computer Science and Information Engineering, the Digital Archives and Automatic Inference Laboratory, and the Digital Humanities Research Center. He holds concurrent roles at the Institute of Information Science, Academia Sinica, and the Higher Education Research & Development Office, National Taiwan University. Education PhD in Computer Science, University of Illinois at Urbana-Champaign (1979–1982) BS in Mathematics, National Taiwan University (1972–1976) Research Interests Hsiang's work spans automated reasoning , digital libraries , digital humanities , and information retrieval . His research focuses on integrating computational methods with cultural heritage preservation , particularly through tools like DocuSky and databases such as the Taiwan Historical Digital Library . He explores AI applications in patent analysis , historical text mining , and semantic relationships in legal documents . Recent Trends in Publications His recent articles highlight advancements in BERT and GPT-2 fine-tuning for patent classification , LARGE language models for legal automation , and GIS-based analysis of historical archives . Themes include digital preservation , AI-driven legal text analysis , and cross-disciplinary computational tools for humanities scholars. Scientific Awards 2019 Ministry of Science and Technology Distinguished Research Fellow 2009 National Taiwan University Outstanding In-House Service Award 2008 Chinese Library Association Special Contribution Award 2006 IEEE Test-of-Time Award 1997 & 1999 National Science Council Outstanding Research Award 1997 Ministry of Education Outstanding Industrial-Academic Collaboration Award 1998–2001 Founder and First Chair of IFIP WG1.6 Labs and Collaborations Hsiang leads the Digital Archive and Automatic Inference Laboratory , developing platforms like DocuSky for digital humanities, Taiwan Historical Digital Library , and QGIS Cloud Maps for spatial analysis. His team collaborates internationally on projects involving historical document digitization , patent automation , and cross-domain knowledge integration .

• Software security
• Formal verification
• String analysis
• +۳ مورد دیگر

Dr. Yu Fang is an Associate Professor in the Department of Information Management at National Chengchi University's College of Business in Taipei, Taiwan. With a strong academic foundation from National Taiwan University (BS and MS) and a PhD in Computer Science from the University of California, Santa Barbara, Dr. Fang has established herself as a prominent researcher in software security and formal methods, with recent expansion into AI security domains. PhD in Computer Science, University of California, Santa Barbara (2005-2010) MS in Information Management, National Taiwan University (1998-2000) BS in Information Management, National Taiwan University (1994-1998) Dr. Fang's research spans software security, formal verification, and string analysis, with significant contributions to vulnerability detection in web applications, static analysis of mobile applications, and more recently, security and testing of neural networks. Her work bridges theoretical formal methods with practical security applications, particularly in the context of modern software systems and AI technologies. The evolution of her research shows a clear trajectory from traditional software security toward addressing emerging challenges in AI security, including adversarial examples, deepfake detection, and fairness verification in machine learning models. Analysis of Dr. Fang's recent publications reveals a strategic expansion of her research focus. While maintaining her strong foundation in software security and formal methods, she has successfully transitioned into the rapidly evolving field of AI security. Her work now addresses critical challenges such as adversarial example detection using explainability methods (DeepSHAP), concolic testing for neural network fairness verification, and defenses against deepfake attacks. This represents a natural progression from her earlier work on string analysis and vulnerability detection in traditional software systems. Senior Excellent Teacher (10 years) award from National Chengchi University National Science Council (now Ministry of Science and Technology) Research Award Dr. Fang has secured substantial research funding, particularly from Taiwan's Ministry of Science and Technology, with current projects focusing on neural network automated testing and AI security. Her research group maintains active collaborations with both academic and industry partners, particularly in the financial technology sector where security and regulatory compliance are paramount. While specific lab affiliations aren't explicitly mentioned in the provided information, her research profile suggests strong connections to the Software Security Laboratory within the Department of Information Management.

• Blockchain Technology
• Financial Technology (FinTech)
• Cybersecurity
• +۷ مورد دیگر

Professor Kung Chen serves as a Professor in the Department of Management Information Systems at National Chengchi University (NCCU) in Taipei, Taiwan. With over two decades of academic experience, he has established himself as a leading researcher in blockchain technology, financial technology, and cybersecurity. His work bridges theoretical computer science with practical business applications, particularly in the financial sector. Ph.D. in Computer Science, Yale University (1989-1994) M.S. in Computer Science, National Taiwan University (1985-1987) B.S. in Computer Science, National Taiwan University (1981-1985) Professor Chen's research primarily focuses on blockchain applications, cybersecurity solutions, and data privacy technologies. His work explores practical implementations of blockchain in financial systems, secure data management frameworks, and privacy-preserving protocols. He has made significant contributions to smart contract development, consensus algorithms, and blockchain integration with IoT systems. His research demonstrates strong interdisciplinary collaboration across computer science, business, and policy domains. Analysis of Professor Chen's recent publications reveals a strong focus on blockchain technology (45%), cybersecurity (25%), and IoT systems (15%). His work shows a clear evolution from foundational research in aspect-oriented programming toward applied financial technology solutions. The interdisciplinary nature of his publications spans computer science, medical informatics, and public policy domains, reflecting his ability to connect technical innovations with real-world applications. Senior Excellent Teacher Award (20 years service) Senior Excellent Teacher Award (10 years service) Distinguished Professor at National Chengchi University Special Outstanding Talent Award from National Science Council Excellent Research Award for Internationalization (multiple years) Type A Research Award from National Science Council Professor Chen has secured substantial research funding as Principal Investigator for numerous projects totaling millions of dollars, primarily from Taiwan's National Science and Technology Council and industry partnerships. His grants focus on blockchain applications in finance, cybersecurity solutions, and academic network infrastructure. He has led major initiatives including the Financial Technology Innovation Operations Research Center and various blockchain laboratory development projects across multiple institutions. Professor Chen is affiliated with several research laboratories at NCCU, including the Lab of Intelligent Finances and Smart Contracts, Blockchain and Financial Technology Innovation Lab, and the E-Business Lab. His research teams typically include interdisciplinary members from computer science, business, and policy backgrounds, reflecting the applied nature of his work. He frequently collaborates with industry partners, particularly in the financial sector, to ensure practical relevance of his research findings.

• Information Management
• Electronic Commerce
• Innovation Management
• +۴ مورد دیگر

Jiann-Min Yang is a Professor in the Department of Management Information Systems at National Chengchi University in Taiwan with a distinguished academic career spanning over three decades. His research has significantly contributed to the fields of information systems, electronic commerce, and data analytics. Dr. Yang earned his Ph.D. in Management Science from the University of Texas, a Master's degree in Management from National Chiao Tung University, and a Bachelor's degree in Civil Engineering from National Taiwan University. His academic journey began in 1987 when he joined National Chengchi University as an Associate Professor before being promoted to full Professor in 1991. His research expertise focuses on Information Management, Electronic Commerce, Innovation Management, Intelligent Systems, and Social Capital. Dr. Yang has published extensively on text mining applications, social network analysis, financial technology, and intelligent business systems. His scholarly work demonstrates a clear evolution from foundational research in expert systems and neural networks to cutting-edge applications of big data analytics in business contexts. Analysis of Dr. Yang's publication record reveals a strong trajectory toward practical applications of data science in finance, real estate, and e-commerce. His recent work prominently features sentiment analysis, topic modeling, and machine learning techniques applied to complex business problems. Over 30 years of academic experience at National Chengchi University Multiple administrative leadership roles including Department Chair and Computer Center Director Extensive research funding from Taiwan's National Science Council Active supervision of graduate students and research teams Dr. Yang has established research connections with multiple laboratories at National Chengchi University, particularly those focused on Electronic Commerce, Intelligent Finances, and Digital Innovation. His work continues to bridge theoretical research with practical business applications, maintaining relevance in the rapidly evolving field of information systems.

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.

Wen-Chin Chenمشاهده پروفایل

استاد

• Design and Analysis of Algorithms
• Multimedia Systems
• Quantum Algorithms
• +۷ مورد دیگر

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 .

Hsu-chun Yenمشاهده پروفایل

استاد

• Automata theory and formal languages
• Graphics rendering and information visualization
• Formal verification

Hsu-chun Yen serves as a Professor at National Taiwan University with distinguished recognition as an Academician of Academia Sinica, Taiwan's premier scholarly institution. His academic profile reflects significant contributions to computer science through both theoretical and applied research. His research program integrates three interconnected domains: Automata theory and formal languages (theoretical foundations of computation) Graphics rendering and information visualization (practical systems for data representation) Formal verification (mathematical validation of system correctness) This triad demonstrates expertise bridging abstract computational models with real-world implementation challenges. His singular scientific honor is documented as: Academician of Academia Sinica Professional engagement is maintained through active institutional affiliation and digital presence without indication of advisory roles or external funding in the source material.

• 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.

• Formal Methods in Software Engineering
• Programming Languages
• Neural Network Testing
• +۶ مورد دیگر

Chih-Duo Hong is an Assistant Professor at the Department of Management Information Systems , College of Business , National Chengchi University , holding this position since February 2023. He earned his Ph.D. in Computer Science from University of Oxford (2017-2022). Research Focus : Formal methods, automated reasoning, neural network testing, and software security Grants : Principal Investigator for multiple National Science and Technology Council projects on data transformation systems (2023-2026) His work spans parameterized verification , probabilistic systems , and neural network fairness , with publications in journals like IEEE Transactions on Software Engineering and ACM TOPLAS. He contributes to concolic testing , array systems abstraction , and constraint-based software optimization . Recent Topics : Formal verification of anonymity/uniformity in probabilistic systems Individual fairness testing for neural networks Regular abstractions for array constraints Collaborations include institutions like University of Oxford, National Chengchi University, and research partners Anthony Lin, Philipp Rümmer, Fang Yu.

• Strategic Management
• Collaborative Strategy
• Alliances and Franchises
• +۳ مورد دیگر

Shiau-Ling Guo serves as an Associate Professor in the Department of Business Administration at National Chengchi University's College of Commerce. She joined NCCU as an Assistant Professor in February 2018 and was promoted to Associate Professor in February 2024. Education: PhD in Business from Purdue University (2012-2017) Bachelor's in International Business from National Taiwan University (2005-2009) Dr. Guo specializes in strategic management with particular expertise in collaborative strategy, alliances and franchises, and contract design. Her research examines the complex dynamics of inter-organizational relationships, with a focus on franchise systems, geographic concentration effects, and governance implications. She investigates how firms design contracts in various contexts including international expansion, strategic alliances, and franchise relationships. Her work bridges theoretical frameworks with practical applications in business strategy and organizational design. Dr. Guo's recent publications demonstrate a consistent focus on franchise relationships and contract design, with increasing attention to international contexts and geopolitical factors. Her work appears in top-tier journals including Long Range Planning, Journal of Business Research, and Academy of Management Journal. Her research trajectory shows progression from examining specific franchise contract mechanisms to broader internationalization patterns and geopolitical considerations. Scientific Awards: National Science Council Research Award (2024) Academic Research Excellence Award from NCCU (2023) Yushan Academic Award from YuShan Financial Holding (2022) Outstanding Paper Award from Management Concepts and Applications Symposium (2021) Dr. Guo has secured significant research funding through multiple MOST projects spanning from 2018 to 2028, with current projects focusing on geopolitical implications for emerging multinational enterprises' overseas entry strategies. She serves as Principal Investigator on several multi-year research initiatives examining organizational cooperation disputes, digital technology impacts on coopetition, and strategic alliance experiences. Her research program demonstrates both continuity in examining relational governance mechanisms while expanding into new domains influenced by geopolitical shifts and digital transformation. Dr. Guo is an active participant in the Strategic Management Society conferences, regularly presenting her research on franchise relationships, contract design, and international business strategy. Her work contributes to both theoretical advancements in organizational theory and practical insights for business practitioners navigating complex inter-organizational relationships.

• Blockchain and smart contracts
• Open API technology and security
• Social big data analysis
• +۳ مورد دیگر

陳恭 is a Professor at the Department of Information Management, College of Business, National Chengchi University. With expertise spanning blockchain technology, information security, and software engineering, he has established himself as a leading academic in Taiwan's fintech research community. His work bridges theoretical computer science with practical business applications, particularly in digital finance and secure information systems. Dr. 陳恭 earned his PhD in Computer Science from Yale University (1989-1994), following Bachelor's and Master's degrees from National Taiwan University. His academic journey at National Chengchi University spans over two decades, progressing from Associate Professor to his current position as Professor, with significant administrative roles including Department Chair and Director of the Computer Center. Professor 陳恭's research primarily focuses on blockchain and smart contracts, Open API technology and security, social big data analysis, and programming languages. His work demonstrates a clear evolution from foundational programming language research to cutting-edge blockchain applications. He has made significant contributions to secure multi-party computation, aspect-oriented programming, and blockchain-based systems, with publications in top journals and conferences across computer science, public administration, and business innovation. An analysis of Professor 陳恭's recent publications (2016-2024) reveals a strong concentration on blockchain technology and its financial applications, particularly in smart contracts, consensus algorithms, and secure data dissemination. His research increasingly integrates with IoT systems and demonstrates practical applications in financial technology, showing a clear trajectory from theoretical foundations to real-world business solutions. His notable achievements include: Senior Excellent Teacher (20 years) from National Chengchi University Multiple Distinguished Professor appointments Special Outstanding Talent Award from the National Science Council Multiple Internationalization Excellent Research Awards Professor 陳恭 has secured numerous research grants from both governmental agencies like the Ministry of Science and Technology and private sector organizations including financial institutions and technology companies. His projects often focus on blockchain applications, fintech innovation, and information security, demonstrating strong industry-academia collaboration. He is actively involved in establishing National Chengchi University as a leading center for blockchain research in Taiwan, contributing to research centers focused on fintech innovation and digital transformation. His work has fostered significant collaborations between academia and industry in the rapidly evolving field of digital finance.