جستجوی استاد راهنمای دانشگاهی

Robert Hsu is Chair Professor and Dean of the College of Information and Electrical Engineering at Asia University, Taiwan, and holds concurrent appointments as Professor at National Chung Cheng University. He serves as President of the Taiwan Association of Cloud Computing and Research Consultant at China Medical University Hospital. His research spans parallel and distributed computing , cloud and edge systems , AI , and medical applications , with over 350 publications in top venues like IEEE TPDS, IEEE TSC, and ACM TOMM. Editor-in-Chief of International Journal of Grid and High Performance Computing Founding Editor-in-Chief of International Journal of Big Data Intelligence Advisory roles in 10+ journals including IEEE Transactions on Cloud Computing His research focuses on cloud-edge collaboration , AI for medical imaging , IoT security , and big data analytics . Key projects include federated learning frameworks for multi-institutional healthcare, optimization techniques for UAV-assisted MEC, and blockchain-based security solutions. His 15 most recent articles highlight advancements in malware detection, resource orchestration in edge environments, and lightweight AI models for retail and rural applications. Scientific accolades include: Stanford University's World's Top 2% Scientists (2020-2023) Best Paper Awards at IEEE ICEIB 2023 and SysCom 2021 Over 25 grants from Ministry of Science and Technology and Ministry of Education Leadership roles as IEEE TCCLD Chair and Steering Committee member He has supervised 30+ PhD/Master's students , including Shih-Chang Chen (2010), Tai-Lung Chen (2010), and Nithin Melala Eshwarappa (2020). His laboratory focuses on edge computing , cloud systems , and AI-driven solutions for healthcare and urban infrastructure.

• Parallel and Distributed Computing
• Cloud Computing
• Big Data Analytics
• +۴ مورد دیگر

Dr. Shun-Wen Hsiao is an Associate Professor in the Department of Management Information Systems at National Chengchi University (NCCU), Taiwan. He earned his PhD in Information Management from National Taiwan University and has been with NCCU since 2017, first as an Assistant Professor before his promotion to Associate Professor in 2023. His research spans: Cybersecurity : Malware analysis, threat detection, IoT security, and blockchain applications Artificial Intelligence : Neural networks for security, NLP, and recommendation systems FinTech : Blockchain frameworks, secure voting systems, and P2P lending risk models E-commerce : Livestreaming recommendation algorithms and consumer behavior analysis He has received multiple awards including: National Science Council Research Award (2023) Three consecutive Outstanding Team awards for Information Security R&D (2016-2018) Research grants from Taiwan's Ministry of Science and Technology Dr. Hsiao leads several major research projects funded by Taiwan's National Science and Technology Council, focusing on explainable AI for cybersecurity, financial technology security, and big data analytics platforms. His work frequently appears in top IEEE transactions and cybersecurity conferences.

• Cybersecurity
• Artificial Intelligence
• Blockchain Technology
• +۴ 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

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

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

Biing-Shen Kuo is a Professor at the Department of International Business, College of Commerce, National Chengchi University (NCCU) in Taiwan. His research focuses on econometrics and international finance, with expertise in exchange rate forecasting, financial econometrics, and machine learning applications in economics. He has led numerous research projects funded by Taiwan's National Science and Technology Council, including studies on exchange rate predictability and econometric inference methods. Education: Ph.D. in Economics, University of Rochester (1989-1995) M.S. in Public Finance, National Chengchi University (1983-1985) B.S. in International Trade, National Chengchi University (1978-1983) Research Focus: Dr. Kuo's work bridges theoretical econometrics and empirical finance, with consistent themes in exchange rate dynamics, predictive modeling, and economic policy impacts. His recent publications integrate machine learning with traditional econometric approaches, particularly for financial forecasting and market analysis. Honors and Awards: Special Appointment Professor, NCCU (multiple years) Teaching Excellence Awards (2011, 2015, 2016, 2019, 2020, 2021) National Science Council Award for Outstanding Research Talent Academia Sinica Young Scholar Research Award (1999) 20-Year Senior Excellent Teacher Award Professional Service: Served as Department Chair (2008-2014) and Vice Dean of the College of Commerce (2005-2008). Editorial board member for multiple economics journals including Economic Papers and Management Review .

• Econometrics
• International Finance
• Foreign Exchange Forecasting
• +۲ 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.

• Financial Economics
• Econometrics
• Forecasting
• +۳ 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.

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

Shih-Hao Hung is a Full Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served since 2005. He established the Performance, Applications and Security Lab (PAS Lab) and previously served as Section Director in the Computer and Information Network Center of NTU from 2012 to 2016. Before joining NTU, he worked for 5 years at Sun Microsystems in the San Francisco Bay Area. Professor Hung's research focuses on computer architecture, parallel processing, performance evaluation, and optimization. His work spans embedded systems, mobile applications, cloud computing, business applications, and information security. Current research interests include heterogeneous and multicore system architecture, active utilization of open source system software, and high performance deep learning systems. He has published numerous papers on GPU acceleration, heterogeneous computing, malware detection, and system performance optimization. His research has resulted in several notable publications and two Best Paper Awards (RACS 2014 and RACS 2017). Professor Hung maintains strong industry collaborations with leading technology companies including IBM, Intel, AMD, NVIDIA, ARM, MediaTek, and Foxconn, focusing on practical applications of advanced computing technologies. Best Paper Award at RACS 2017 for Program Analysis research Best Paper Award at RACS 2014 for Android malware detection framework Extensive publications in performance evaluation and optimization Significant industry collaborations across multiple technology sectors Professor Hung is known for his practical approach to computer science education and research, emphasizing the importance of bridging academic knowledge with real-world applications. His blog frequently discusses issues in computer science education, system architecture, and the development of skilled professionals in Taiwan's technology sector.

• Computer Architecture
• Parallel Processing
• Performance Evaluation
• +۷ مورد دیگر

Associate Professor Shih-wei Liao is a faculty member in the Department of Information Engineering at National Taiwan University, leading the ABC Lab / NTU Consensus Lab. His research bridges blockchain technology, Fintech, and Big Data systems with real-world applications. His research expertise spans: Blockchain systems (consensus protocols, environmental monitoring, Gcoin implementation) Fintech applications (digital currency, RegTech, automated clearinghouse) AI/ML optimization (CNN memory traffic, medical imaging, pollution forecasting) Compiler and virtual machine design (Android legacy systems) Recent publications (2018-2021) show strong focus on environmental blockchain applications, IoT security, and medical AI - with work published in IEEE conferences, Blockchain Robotics AI conferences, and journals like IEEE Network. His research demonstrates consistent evolution from foundational Android systems to cutting-edge blockchain applications. Awards include: Google Founders' Award for Android contributions CGO'04 Best Paper Award Nominee The ABC Lab maintains active industry partnerships with major technology companies and financial institutions, evidenced by seminars with Bitfinex/Tether executives and collaborations on Taiwan's Asia Silicon Valley Project. Professor Liao pioneered NTU's Blockchain course in 2015 and leads the NTU RegTech initiative. The lab operates from office R514 with Friday office hours (15:00-17:00), focusing on 'impact, learning-by-doing, interdisciplinary' approaches as stated in their mission.

• Blockchain
• Fintech
• Big Data
• +۶ مورد دیگر

Chia-Lin Yang is a Professor in the Department of Computer Science and Information Engineering at National Taiwan University's College of Electrical Engineering and Computer Science. He currently serves as Director of the Delta-NTU Joint Research Lab and maintains active leadership roles in multiple research initiatives. Professor Yang's research focuses on low-power embedded systems, high-performance processor architecture, and massive data storage systems. His current work explores storage systems for big data analytics, compute-in-memory architecture design, and AI-enabled IoT. His lab, the Embedded Computing Laboratory, investigates emerging memory technologies including ReRAM and their applications in neural network acceleration and processing-in-memory architectures. His recent publication trends show a strong focus on memory systems for AI acceleration, with significant contributions to processing-in-memory architectures, ReRAM-based neural network accelerators, and storage optimization for machine learning workloads. His work bridges computer architecture, memory systems, and AI hardware acceleration, addressing critical challenges in performance, power efficiency, and reliability. Professor Yang has received numerous prestigious awards including the 2018 Outstanding Electrical Engineering Professor award, two IBM Faculty Awards (2010, 2005), and the 2009 IEEE/ACM ISLPED Best Paper Award. As an active researcher, Professor Yang serves on multiple editorial boards including ACM Transactions on Computer Architecture and Code Optimizations, ACM Transactions on Embedded Computing Systems, and IEEE Transactions on Computer-Aided Design. He maintains leadership roles in major conferences including DAC and ISLPED, demonstrating his significant contributions to the computer architecture community. His Embedded Computing Laboratory provides research opportunities in cutting-edge areas of computer architecture and memory systems, with connections to industry through the Delta-NTU Joint Research Lab and Taiwan AI Labs.

• Low-power embedded systems
• High-performance processor architecture
• Massive data storage systems
• +۶ 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.

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

Professor Cai Ruihuang is a distinguished faculty member in the Department of Information Management at National Chengchi University's College of Business. With over 30 years of academic service, he currently serves as Director of the Computer Center and has held various administrative positions including Deputy Director of Research and Development and Director of the Innovation Incubation Center. His extensive academic career spans teaching and research in information systems, neural networks, and digital innovation. PhD in Industrial Engineering and Operations Research, University of California, Berkeley MS in Industrial Engineering, University of California, Berkeley BS in Nuclear Engineering, National Tsing Hua University Professor Cai's research focuses on technological services, service innovation, digital humanities, neural network systems, and enterprise process analysis. His work bridges traditional business domains with cutting-edge technology applications, particularly in cultural institutions like the National Palace Museum. His research demonstrates a consistent trajectory from foundational neural network theory to practical applications in financial analytics, museum technology, and digital transformation. His extensive publication record shows a progression from theoretical neural network research in the 1990s to applied AI and digital innovation studies in recent years. Notably, he has pioneered applications of AI in cultural heritage institutions and developed innovative approaches to financial fraud detection using neural networks. His work spans computer science, business management, and digital humanities, reflecting an interdisciplinary approach to information systems research. 資深優良教師(30年) - Senior Excellent Teacher Award 特聘教授 - Distinguished Professor 國科會獎勵特殊優秀人才 - MOST Special Outstanding Talent Award 學術研究成果國際化優等研究獎 - International Academic Research Excellence Award 教學特優教師 - Outstanding Teaching Award Professor Cai has successfully led numerous research projects totaling millions in funding from both government agencies like MOST and private sector partners including CTBC Financial Holding and National Palace Museum. His current research focuses on AI applications in finance, digital transformation of cultural institutions, and cybersecurity education initiatives. He leads the Financial AI Cloud Ecosystem research project and serves as principal investigator for multiple cybersecurity training programs funded by Taiwan's Ministry of Education. His work connects academic research with practical applications through the Financial AI Cloud Research Center and various industry collaboration initiatives. Professor Cai's research group actively engages with cultural institutions, financial organizations, and technology companies to develop innovative solutions for real-world challenges in digital transformation.

• Technological services
• Service innovation
• Digital humanities
• +۴ مورد دیگر