جست‌وجوی استاد و پژوهشگر

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 His team collaborates internationally on projects involving historical document digitization , patent automation , and cross-domain knowledge integration .

• User Experience
• Human-Robot Interaction
• Robotics
• +۶ مورد دیگر

Shih-Yi Chien is an Associate Professor in the Department of Management Information Systems at National Chengchi University, Taipei, Taiwan. His research focuses on User Experience , Human-Robot Interaction , and Robotics , with applications in Information Behavior and Machine Learning . Education: Ph.D. in Information Sciences from University of Pittsburgh (2009–2017). Professional Experience: Assistant Professor (2018–2023), then Associate Professor (2023–present) at NCCU. His research spans Explainable AI (XAI), Dementia Prediction , Fake News Detection , and Human-Automation Trust . Recent work includes cross-cultural studies on AI perception and neuromarketing applications in e-commerce robotics. Publications appear in Information Systems Frontiers , IEEE Transactions on Human-Machine Systems , and ACM/IEEE International Conference on Human-Robot Interaction . Notable scientific awards include: 2024 Yushiu Creative Award (Silver) 2023 National Somatic Interactive Technology First Prize 2022 Fubon Life Insurance Thesis Excellence Award Multiple INFORMS/IEEE/HICSS conference recognitions He has led research grants from Taiwan's National Science and Technology Council (MOST) on topics like human-multirobot cognitive processes and AI-driven high-age dementia care . Collaborative labs include the Ambient e-Services Laboratory and Digital Innovation & Management Research Lab at NCCU, focusing on smart contracts , human-robot collaboration , and digital sustainability .

Chung-Wei Linمشاهده پروفایل

دانشیار

• Cyber-physical systems
• Connected and Autonomous Vehicles
• System Security
• +۵ مورد دیگر

Chung-Wei Lin is an Associate Professor and Deputy Director at the Department of Computer Science and Information Engineering and the Graduate Institute of Networking and Multimedia at National Taiwan University. His research focuses on cyber-physical systems, particularly in the domains of connected and autonomous vehicles, system security, and design methodologies. He maintains active collaborations with industry partners including Toyota and has established himself as a leading researcher in intelligent transportation systems in Taiwan. Education: Ph.D. (2015) from Department of Electrical Engineering and Computer Sciences, University of California, Berkeley (Advisor: Alberto L. Sangiovanni-Vincentelli) M.S. (2007) from Graduate Institute of Electronics Engineering, National Taiwan University (Advisor: Yao-Wen Chang) B.S. (2005) from Department of Computer Science and Information Engineering, National Taiwan University Dr. Lin's research interests center on cyber-physical systems with specific focus on connected and autonomous vehicles, security mechanisms, and system design methodology. Before returning to NTU in 2018, he worked at Toyota InfoTechnology Center, USA, Inc. His recent projects cover diverse topics including systems engineering, formal verification for robustness and compatibility, runtime monitoring, and intelligent intersection management. His work bridges theoretical foundations with practical applications, addressing real-world challenges in transportation systems through innovative technical solutions. Analysis of Dr. Lin's recent publications (2023-2025) reveals a strong emphasis on intelligent transportation systems with particular focus on security challenges for connected vehicles, formal verification techniques for safety-critical systems, and novel control algorithms for vehicle coordination. His research demonstrates increasing integration of machine learning approaches, especially reinforcement learning, to address complex decision-making problems in transportation. The work spans multiple technical domains including control theory, networking, cybersecurity, and formal methods, reflecting the inherently interdisciplinary nature of cyber-physical transportation systems research. Selected Awards: 2016 Best Paper Award, ACM Transactions on Design Automation of Electronic Systems 2015 Most Accessed ESL Paper Best Paper Award, IEEE ISSREW 2016 workshop Best Paper Award, ICCD 2010 Best Paper Nominee, ASP-DAC 2015 Dr. Lin currently advises multiple Ph.D. and M.S. students, with research focusing on various aspects of cyber-physical systems for transportation. His group includes Ph.D. students Pintusorn Suttiponpisarn and I-Ching Tseng, as well as several M.S. students. His extensive publication record and numerous patents (over 20 granted) indicate significant research impact and likely substantial research funding from both government and industry sources. His research program demonstrates strong translational potential, with many concepts moving from theoretical foundations to practical implementations. Dr. Lin leads the Cyber-Physical Systems Laboratory at NTU, which focuses on research related to intelligent transportation systems. The lab conducts research in areas including vehicle control, intersection management, security mechanisms, and formal verification for cyber-physical systems. His team collaborates with researchers from various institutions globally, as evidenced by his extensive publication record with international co-authors from universities and research institutions in the United States, Japan, and Europe.

Tsan-sheng Hsuمشاهده پروفایل

استاد پژوهشی

• Graph Theory
• Algorithm Design
• Data Privacy Protection
• +۳ مورد دیگر

Tsan-sheng Hsu is a Research Professor at the Institute of Information Science (IIS), Academia Sinica in Taiwan. He has been a tenured full research fellow since June 2003, after serving as an assistant research fellow starting in 1993 and associate research fellow from 1997-2003. He also served as Deputy Director of IIS from 2002-2004 and Director of Academia Sinica Computing Center from 2008-2010. Since 2019, he has been Editor in Chief for the Journal of Information Science and Engineering. Dr. Hsu's educational background includes: Bachelor of Science in Computer Sciences from National Taiwan University (1981-1985), graduating first in class Master of Science in Computer Sciences from University of Texas at Austin (1990) Ph.D. in Computer Sciences from University of Texas at Austin (1993) Dr. Hsu's primary research interests focus on graph theory and its applications , where he investigates fundamental properties of graphs and develops algorithms for connectivity augmentation problems. His work in algorithm design, analysis, implementation and performance evaluation spans sequential, parallel, and distributed algorithms. In data-intensive computing , he explores data privacy protection, large-scale social network analysis, and computer Chinese chess. His research often bridges theoretical breakthroughs with practical applications in network reliability, statistical data security, and efficient computation. Dr. Hsu's publication record demonstrates a consistent focus on graph theory problems, particularly connectivity augmentation, graph searching, and distance-hereditary graphs. His work shows progression from theoretical foundations to practical applications, with an emphasis on developing efficient algorithms with provable performance guarantees. The majority of his publications appear in top theoretical computer science venues, reflecting his strong contributions to fundamental algorithmic research. Dr. Hsu has received several prestigious awards and honors: Bert Kay Dissertation Award from University of Texas at Austin (1993) Academia Sinica Research Award for Junior Research Investigators (2003) Phi Tau Phi Scholastic Honor Society membership (1985) MCD fellowship and IBM graduate fellowship during doctoral studies Dr. Hsu leads the Massive Data Computation and Management Lab at Academia Sinica, where he directs research on graph theory applications, algorithm design, and data privacy. His research has been supported by various projects including theoretical foundation work on graph augmentation and searching problems, as well as applied research in inference control, computer Chinese chess, and parallel computation. He has collaborated extensively with researchers from institutions including Northwestern University, National Tsing Hua University, and National Taiwan University.

• Enterprise model innovation
• Enterprise system management
• Enterprise process management
• +۳ مورد دیگر

Professor Shang Xiaochun is a distinguished faculty member of the Department of Information Management at the College of Business, National Chengchi University in Taipei, Taiwan. With extensive experience in academic leadership, she has served as Department Chair, Deputy Dean of the College of Business, and Director of the International Business Master's Program (English). Her career spans both academic and professional realms, with prior experience at major consulting firms including IBM, KPMG, and BNF Consulting. Professor Shang earned her PhD in Information Systems from the University of Melbourne, Australia (1997-2002) and a Master's degree in Computer Technology from the New York Institute of Technology, USA (1983-1984). Her educational background reflects a strong foundation in both technical and business disciplines, which informs her interdisciplinary research approach. Professor Shang's research focuses on enterprise model innovation, enterprise system management, enterprise process management, and change management. Her work bridges the gap between technical information systems and business management, with particular emphasis on how organizations can leverage technology for competitive advantage. She has made significant contributions to understanding how businesses can innovate through information systems, manage organizational change during technology implementation, and optimize business processes in the digital age. Her extensive publication record demonstrates consistent scholarly output across multiple high-impact journals. Her research trajectory shows a progression from foundational work on enterprise systems implementation in the early 2000s to more recent investigations into mobile payment innovation, autonomous vehicle technologies, and social media applications. The breadth of her work spans traditional business process management, customer relationship management, and cutting-edge digital innovation areas. Professor Shang has secured research funding from both the Ministry of Science and Technology and other non-governmental organizations, including projects such as the '2019 International Symposium on Smart Enterprise Information Application Development' and 'Service Innovation E-Newsletter.' These projects reflect her commitment to bridging academic research with practical business applications. Within the academic community, Professor Shang has made significant contributions through her leadership roles and collaborative research. She has served as principal investigator on multiple research projects and has mentored numerous students through their academic journeys. Her work continues to influence both academic discourse and practical business applications in information systems management.

Frank Hungمشاهده پروفایل

استاد

• Information Systems
• Management Information Systems
• Digital Transformation
• +۷ مورد دیگر

Frank Hung is a Professor in the Department of Management Information Systems at National Chengchi University's College of Business. He has held various academic positions including Department Chair (2020-2022) and has been actively involved in research, teaching, and academic service. His work bridges theoretical research with practical applications in information systems and digital transformation. Dr. Hung received his Master's and PhD in Management Systems from the University of Waikato in New Zealand (2001-2006). His academic journey includes positions at National Chengchi University, National Chung Cheng University, and visiting appointments at DePaul University. Dr. Hung's research focuses on the intersection of information systems and business management, with particular emphasis on digital transformation, technology adoption, and human-computer interaction. His work spans multiple domains including e-commerce, social media, mobile applications, and supply chain management. His research methodology often combines quantitative and qualitative approaches to address complex business problems in the digital age. Analysis of Dr. Hung's recent publications reveals a strong trend toward applied research addressing contemporary challenges. His work increasingly focuses on AI applications, pandemic response systems, and digital transformation across various industries. The interdisciplinary nature of his research demonstrates how information systems can create value across healthcare, tourism, manufacturing, and financial services sectors. Senior Excellent Teacher Award (10 years) from National Chengchi University Management College Research Excellence Award from National Chung Cheng University Ministry of Labor First Youth Social Enterprise and Social Innovation Award Runner-up Dr. Hung has secured numerous research grants from Taiwan's National Science and Technology Council and other funding agencies, demonstrating his ability to translate theoretical research into practical solutions. His projects often involve collaboration with industry partners, reflecting his commitment to bridging the academic-practitioner divide. As an academic leader, he has advised numerous graduate students and contributed to curriculum development in information systems education. Dr. Hung is actively involved with several research laboratories at National Chengchi University, including the E-Business Lab and the Emerging Technologies and Applications Lab. His work contributes to the university's research ecosystem focused on digital innovation and management.

• International Investment
• Business Forecasting
• E-commerce Economics and Strategies
• +۳ مورد دیگر

YEE-TIEN FU is an Associate Professor at the Department of International Business, College of Commerce, National Chengchi University. He holds a PhD in Engineering-Economic Systems and an MS in Statistics from Stanford University, an MS in Industrial Engineering from Virginia Tech, and a BS in Industrial Engineering from Chung Yuan Christian University. Research Areas: International Investment, Business Forecasting, E-commerce Economics and Strategies Key Themes: Corporate governance, financial innovation, cross-border business models, and data-driven decision-making His recent work focuses on business strategy and financial technology , with publications analyzing Stanford’s endowment management, cross-Strait e-commerce collaboration, and ethical compensation frameworks. He has presented at conferences like the Western Decision Sciences Institute and British Academy of Management, emphasizing big data analytics and sustainable innovation . Scientific Honors: Senior Excellent Teacher (20 years) from Ministry of Education Senior Excellent Teacher awards from National Chengchi University (20 and 10 years) NSC Type A Research Award His teaching spans International Investment, Applied Financial Engineering, and Computer Simulation. Contact: iamtedfu@nccu.edu.tw

• 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.

• Cryptography
• Information Security
• Blockchain Technology
• +۵ مورد دیگر

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.

• 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.

• Financial Economics
• Econometrics
• Forecasting
• +۳ مورد دیگر

YU MIN YEN is a Professor at the Department of International Business, College of Commerce, National Chengchi University (NCCU), Taiwan. He has held academic positions at NCCU since 2014, progressing from Assistant Professor to Associate Professor, and since February 2025, to full Professor. His research and teaching focus on Financial Economics and Econometrics. Education: Ph.D. in Finance, London School of Economics and Political Science (2006–2012) M.Sc. in Finance, London School of Economics and Political Science (2005–2006) B.A. in Economics, National Taiwan University (1993–1998) Research Interests: His research spans a wide range of topics in financial econometrics, including forecasting macroeconomic variables, financial risk modeling, portfolio optimization, and the application of machine learning techniques in economic data analysis. He is particularly known for his work on quantile and expectile forecasting, robust estimation under model uncertainty, and the use of derivative-implied information for policy and investment decisions. His recent projects emphasize integrating big data analytics into inflation forecasting and developing robust methods for estimating treatment effects in the presence of endogeneity and heavy-tailed distributions. Scientific Awards: 資深優良教師 (10年) – National Chengchi University (2024) 學術研究優良獎 – National Chengchi University (2024, 2017) 國科會研究獎勵 – Ministry of Science and Technology (2021, 2019, 2018) Research Funding & Leadership: He has served as Principal Investigator on multiple three-year grants from Taiwan’s National Science and Technology Council (MOST), including: 「使用機器學習之分布中介處裡效果的穩健估計」(2023–2026) 「條件尾端平均處裡效果在有內生性之下估計方法之探究」(2021–2023) 「FZ損失函數之應用: 預測風險衡量指標及其他用途」(2019–2021) These projects reflect his commitment to advancing statistical methodologies for real-world economic and financial problems.

Hsu-Chun Hsiaoمشاهده پروفایل

استاد

• Network security
• Applied cryptography
• High-availability future networks
• +۶ مورد دیگر

Professor Hsu-Chun Hsiao is a distinguished faculty member in the Department of Computer Science and Information Engineering and the Graduate Institute of Networking and Multimedia at National Taiwan University. He also holds a joint appointment at the Center for Information Technology Innovation at Academia Sinica. With a Ph.D. from Carnegie Mellon University (2014) and prior degrees from National Taiwan University, he has established himself as a leading researcher in network security and applied cryptography. Professor Hsiao's research focuses on network security, applied cryptography, and high-availability future networks, with recent emphasis on DDoS defense, automated vulnerability discovery, and IoT security. His work bridges theoretical foundations with practical implementations, as evidenced by his extensive publication record in top security venues and real-world applications like his leadership of the security team at National Taiwan University Hospital (2018-2025). His publication trends show consistent productivity with 15+ papers annually in recent years, spanning both theoretical contributions and practical security solutions. His research covers diverse subfields including web tracking, blockchain security, medical system security, and privacy-preserving technologies, demonstrating remarkable breadth within the security domain. 2024 NTU Outstanding Mentor Award 2023 Mr. Lu Feng-Zhang Memorial Award 2022 IEEE S&P Test-of-Time Award 2022 PETS Best Artifact Award 2021 Ta-You Wu Memorial Award 2020 Delta Research Excellence Award Multiple NTU Outstanding Teaching Awards (2017-2023) Professor Hsiao actively mentors students through his Network Security Lab (NSLab) and teaches multiple courses including Cryptography and Network Security, Computer Security, and Algorithm Design and Analysis. His service contributions include program committee roles for major security conferences and editorial positions, demonstrating his active engagement with the broader research community. The Network Security Lab (NSLab) serves as the primary research hub for Professor Hsiao's work, focusing on practical security challenges with connections to both academic research and real-world applications through the National Taiwan University Hospital security team leadership.

• Operations Management
• Supply Chain Management
• Operations Research Applications
• +۵ مورد دیگر

Dr. Shwu-Min Horng is a Professor and current Chairman of the Department of Business Administration at National ChengChi University in Taipei, Taiwan. With a PhD in Industrial Engineering and Management from Arizona State University, he has built an academic career spanning over two decades at NCCU, progressing from Assistant Professor (2004-2012) to Associate Professor (2012-2020) before attaining full professorship in 2020. His administrative leadership includes serving as Department Chairman since 2023. Professor Horng's research specializes in operations management ecosystems, with core expertise in: Supply chain optimization and resilience Operations research applications in business contexts E-commerce consumer behavior and social commerce Systems simulation for decision-making Corporate governance and accounting quality His recent work examines emerging areas including metaverse business models, semiconductor supply chains amid US-China trade tensions, and sustainable urban energy systems. Analysis of his 15 most recent publications reveals strong interdisciplinary focus, with 47% addressing e-commerce/social media behavior, 33% examining corporate governance/accounting, and 20% focused on operations/supply chain optimization. Temporal trends show increasing attention to behavioral economics in digital environments and supply chain resilience strategies. Professor Horng has received multiple research honors including: Makalot Industry-Academic Collaboration Award (2024) Best PhD Thesis Advisor Award from Taiwan Management Association (2016) 20-Year Senior Excellent Teacher Award from NCCU (2023) He actively leads major research initiatives as Principal Investigator for National Science and Technology Council projects, including current longitudinal studies on US-China trade war impacts on semiconductor supply chains (2023-2026) and developing supply chain resilience frameworks (2021-2023). His research group focuses on operations analytics and digital business transformation.

• Game Theory
• Microeconomics
• Financial Economics
• +۵ مورد دیگر

Hsing-Hua Chang is an Associate Professor at the Department of Money and Banking within the College of Commerce at National Chengchi University. He has been a faculty member since 2001, initially serving as an Assistant Professor before promotion to Associate Professor in 2014. His administrative roles include serving as Department Chair from 2022-2024. His research focuses on game theory, microeconomics, and applied finance, with publications spanning banking efficiency, risk management, and financial innovation. Education includes: Ph.D. in Economics, Harvard University (1994-1999) M.A. in Economics, Harvard University (1994-1999) B.A. in Economics, National Taiwan University (1986-1990) Research domains encompass theoretical and empirical work in financial economics, with recent emphasis on machine learning applications in portfolio optimization, currency risk premia modeling, and systemic risk measurement. His work frequently examines Taiwan's financial markets and policy impacts. Award recognition includes teaching excellence honors: Senior Excellent Teacher (20 years) - National Chengchi University (2023) Senior Excellent Teacher (10 years) - National Chengchi University (2011) Research grants include principal investigator roles for National Science and Technology Council projects on systemic risk measurement (2016-2017), central bank communication effects (2014-2015), and financial market liquidity (2013-2014). Current research collaborations involve machine learning applications in finance and ESG investment factors.

• User Interface Design
• E-Commerce
• E-learning

FONG-LING FU is an Associate Professor at the Department of Management Information Systems, National Chengchi University. She specializes in User Interface Design, E-Commerce, and E-learning. Her educational background includes a Ph.D. in Management and Information Systems from Mississippi State University (1991), an M.S. in Information Systems from Georgia State University (1984), and a B.S. in Business Administration from National Chengchi University (1978). Research Focus: Her work explores the intersection of technology and education, emphasizing user-centered design principles for web-based systems. Key interests include educational gamification, e-commerce usability, and collaborative learning frameworks. Publication Trends: Her recent articles (2007-2012) predominantly address e-learning optimization, UI/UX design metrics, and consumer behavior in digital commerce. Common themes include pedagogical innovation, web accessibility standards, and data-driven personalization systems. Research Projects & Grants: She has led multiple initiatives including: 商學基礎課程網路化 提昇大學基礎教育計劃 (Business Foundation Course Networking for University Education Enhancement) 網路廣告類型 涉入度與廣告效果之實證研究 (Empirical Study on Online Advertising Types and Effectiveness) 資訊服務廠商之類別及顧客關係之研究 (Study on Information Service Provider Categories and Customer Relationships)