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Frank HungView profile

Professor

• Information Systems
• Management Information Systems
• Digital Transformation
• +7 more

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.

• Sustainable Supply Chain Management
• Socially Responsible Operations
• Cloud Computing Decision Analysis
• +2 more

Li-Ming Chen is a Professor in the Department of Business Administration at National Chengchi University's College of Commerce, where he has served since 2009, progressing from Assistant Professor to full Professor. His research focuses on sustainable supply chain management, socially responsible operations, and cloud computing decision analysis, with numerous publications in high-impact journals including IEEE Transactions on Engineering Management and Transportation Research Part E. PhD in Industrial and Systems Engineering, University of Florida (2009) MS in Industrial Engineering, University of Michigan (2005) BS in Industrial Engineering and Management, National Chiao Tung University (2001) Professor Chen's research spans three interconnected domains: sustainable supply chain management, socially responsible operations, and cloud computing applications in business. His work examines how organizations can balance economic efficiency with environmental and social responsibility, particularly in perishable product supply chains. He has developed innovative models for two-bin inventory strategies that simultaneously maximize profits while minimizing waste, addressing both business and sustainability concerns. His research on cloud supply chains investigates how firms can optimize their computing resources through cloud bursting strategies while managing associated cybersecurity risks. An analysis of his 15 most recent publications reveals a clear research trajectory evolving from traditional operations management toward more contemporary concerns at the intersection of technology, sustainability, and social responsibility. Early work focused on fundamental inventory and pricing problems for perishable goods, while more recent research examines omnichannel retailing, fintech ecosystems, and cloud supply chain resilience. His publications consistently appear in top-tier journals across operations management, supply chain, and information systems disciplines, demonstrating interdisciplinary impact. Professor Chen has secured continuous research funding from Taiwan's National Science and Technology Council (formerly MOST) for over a decade, with current projects extending through 2026. His research portfolio spans semiconductor equipment manufacturing, perishable product management, supply chain resilience, and cloud computing applications. Despite his extensive publication record and research funding, the available materials do not mention specific scientific awards or honors. 114 Project: Investigating semiconductor equipment manufacturers' circular manufacturing of faulty parts (2025-2026) 113 Project: Two-bin strategy for short shelf-life products (2024-2025) 112 Project: Supply chain resilience in the post-pandemic era (2023-2025) 111 Project: Two-bin system for perishable goods (2022-2024) 110 Project: Cloud supply chain disruptions and recovery (2021-2023) Professor Chen teaches Operations Management, Management Science, Supply Chain Management Practice, and Social Responsibility and Ethics courses. His research demonstrates strong alignment with his teaching areas, particularly in applying theoretical operations research concepts to practical business problems with social and environmental dimensions. While the available materials don't specify laboratory or research team details, his extensive publication record with multiple co-authors suggests active collaboration with both domestic and international researchers.

• Software security
• Formal verification
• String analysis
• +3 more

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.

• International Investment
• Business Forecasting
• E-commerce Economics and Strategies
• +3 more

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

• Ubiquitous Computing
• Pervasive Computing
• Wearable Computing
• +2 more

Hao Chu is an Adjunct Professor at the Graduate Institute of Networking and Multimedia , Department of Computer Science and Information Engineering, National Taiwan University . He earned his B.S. from Cornell University and Ph.D. from University of Illinois at Urbana-Champaign under Prof. Klara Nahrstedt. His research focuses on ubiquitous and pervasive computing , wearable systems , sensor networks , and human-computer interaction . Key themes include persuasive computing for behavioral intervention, positional accuracy optimization in radio interferometry, and context-aware homecare technologies. Professional services include serving as General Co-Chair for ACM MobiSys 2013, Program Committee member for ACM UbiComp (2015-2006), and workshop organization roles at IEEE PerCom, IAT, and others. He has presented papers at UbiComp 2007, CHI 2008, and LOCA 2007 conferences. Contact: Department of Computer Science and Information Engineering, National Taiwan University, #1 Roosevelt Road, Section 4, Taipei, Taiwan 106, ROC

RF ChangView profile

Professor

• Medical Image Processing
• Computer-Aided Diagnosis
• Image Processing
• +3 more

RF Chang is a Professor in the Department of Information Engineering at National Taiwan University, affiliated with the Institute of Information Network and Multimedia. He leads the Medical Image Processing Laboratory and teaches courses including Deep Learning in Medical Imaging and Make Multimedia Production. His research expertise includes: Medical Image Processing Computer-Aided Diagnosis Image and Video Processing Multimedia Systems and Communications Professor Chang has secured research funding from Taiwan's Ministry of Science and Technology (MOST) for projects in medical imaging and multimedia systems. The Medical Image Processing Laboratory, under his direction, conducts research to advance diagnostic support through image analysis.

• Financial Engineering
• Derivatives
• Financial Econometrics
• +6 more

Shih-Kuei Lin is a Professor in the Department of Money and Banking at National Chengchi University's College of Commerce, where he has served since 2010, advancing from Associate Professor to full Professor. He has held significant leadership roles including Department Chair from 2016-2020 and currently serves as a full-time faculty member with ongoing research projects through 2027. His educational background includes a Ph.D. in Statistics from National Chengchi University (2000-2004), a Master's in Statistics from the same institution (1995-1997), and a Bachelor's in Mathematics from National Cheng Kung University (1990-1994). His research expertise spans Financial Engineering, Derivatives, Financial Econometrics, Actuarial Finance, and has recently expanded to include Financial Big Data, Green Finance, Climate Finance, and Banking Management Strategy. Professor Lin's work demonstrates a sophisticated approach to financial modeling, particularly in derivatives pricing under complex market conditions including jump diffusion models, regime-switching frameworks, and stochastic volatility environments. His recent publications show an increasing focus on ESG integration, climate finance applications, and machine learning approaches to portfolio management. His research has been consistently published in top-tier finance journals including the Journal of Banking and Finance, Review of Quantitative Finance and Accounting, and International Review of Financial Analysis. His research portfolio includes over 40 publications since 2003, with a particularly productive period from 2019-2024. His work shows evolution from traditional financial engineering topics toward contemporary issues including climate risk, ESG integration, and machine learning applications in finance. National Science Council Research Award (multiple years: 108, 109, 110, 111, 112, 113) Senior Excellent Teacher (20 years) from National Chengchi University Senior Excellent Teacher (10 years) from National Chengchi University Professor Lin has served as Principal Investigator for numerous research projects funded by Taiwan's National Science and Technology Council, with current projects extending through 2027 focusing on derivatives pricing and risk management. He has also collaborated with various financial institutions including Taiwan Business Bank, Cathay Financial Holdings, and Standard Chartered Bank on applied research projects. His departmental leadership as Chair of the Department of Money and Banking from 2016-2020 demonstrates his commitment to academic administration alongside his research activities.

• Blockchain Technology
• Financial Technology (FinTech)
• Cybersecurity
• +7 more

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
• +5 more

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.

• Digital Marketing
• Social Media Marketing
• Consumer-Brand Relationship
• +4 more

Kuan-Ju Chen is an Associate Professor in the Department of Business Administration at National Chengchi University's College of Commerce. Previously serving as an Assistant Professor from 2019 to 2021, Dr. Chen has established herself as a prominent researcher in digital marketing and consumer-brand relationships. PhD in Mass Communication, University of Georgia, USA (2015) MA in Journalism and Mass Communication, Iowa State University, USA BA in English, National Changhua University of Education, Taiwan Dr. Chen's research focuses on the intersection of digital media and consumer behavior, with particular expertise in social media marketing, influencer marketing, and brand anthropomorphism. Her work examines how consumers form relationships with brands through digital channels, how psychological mechanisms influence engagement with branded content, and the evolving role of AI in marketing communications. Recent research has expanded into AI chatbots, exploring their effectiveness in service recovery scenarios and how their design elements impact consumer responses. Analysis of Dr. Chen's publication record reveals a clear trajectory from foundational work on social media and brand relationships toward cutting-edge research on AI applications in marketing. Her early work established frameworks for understanding influencer marketing and brand anthropomorphism, while her most recent publications tackle emerging challenges in AI-driven marketing communications, particularly regarding service failures and consumer perceptions of artificial personalities. Dr. Chen has been the Principal Investigator on multiple research projects funded by Taiwan's Ministry of Science and Technology (MOST), with continuous funding from 2015 through 2026. These projects demonstrate sustained research productivity and relevance to contemporary marketing challenges, particularly in digital and AI-driven contexts. Her work bridges theoretical understanding with practical applications for marketers navigating the rapidly evolving digital landscape.

• Information Management
• Electronic Commerce
• Knowledge Management
• +2 more

Professor Heng-Li Yang is a distinguished faculty member in the Department of Management Information Systems at National Chengchi University's College of Business in Taiwan. With a PhD from the University of British Columbia, Canada, he has established himself as a leading researcher in information systems and management. His work spans multiple areas including electronic commerce, knowledge management, and service innovation. Professor at National Chengchi University since at least 2002 PhD in MIS from University of British Columbia, Canada Recipient of Stanford University's Global top 2% top scientists award for five consecutive years (2020-2024) Extensive publication record in top-tier information systems journals Professor Yang's research interests focus on information management, electronic commerce, knowledge management, service innovation, and information system development. His work demonstrates a consistent focus on understanding technology adoption behaviors, particularly in mobile and social contexts. He has made significant contributions to understanding how consumers interact with location-based services, social media applications, and smart home technologies. His research often employs sophisticated methodologies including fuzzy logic, multicriteria decision making, and sentiment analysis to address complex information systems challenges. His publication record shows a consistent trajectory of high-impact research, with numerous articles in SSCI and SCI-indexed journals. Recent work has particularly focused on location-based advertising, smart home adoption, and social media behavior. Professor Yang has successfully secured multiple research grants from Taiwan's Ministry of Science and Technology, demonstrating the significance and impact of his research agenda. Global top 2% top scientists (lifetime) - Stanford University (2020-2024) Multiple research grants from Taiwan's Ministry of Science and Technology Extensive publication record in top-tier journals Research cited internationally in information systems literature Professor Yang has been actively involved in numerous research projects, particularly those examining social media behavior, location-based services, and knowledge management. His work bridges theoretical frameworks with practical applications, making significant contributions to both academic literature and industry practice. As a principal investigator on multiple Ministry of Science and Technology projects, he has demonstrated leadership in advancing information systems research in Taiwan.

• Supply Chain Management
• Supply Chain Innovation
• E-Business
• +2 more

Professor Woo-Tsong Lin is a distinguished faculty member in the Department of Management Information Systems at National Chengchi University's College of Commerce in Taiwan. With over three decades of academic experience, he has established himself as a leading researcher in supply chain management and information systems. His career at NCCU spans from Assistant Professor (1990-1995) to full Professor (1995-present), with additional administrative roles including Department Chair (1996-1999) and Deputy Dean of the College of Commerce (2010-2011, 2013-2015). Ph.D. in Industrial Engineering & Operations Research, University of California, Berkeley (1988-1990) M.S. in Industrial Engineering, University of California, Berkeley (1985-1988) B.S. in Industrial Engineering, Tunghai University, Taiwan (1977-1981) Professor Lin's research focuses on supply chain management, supply chain innovation, e-business, decision support systems, and software industry development and management. His work bridges theoretical frameworks with practical business applications, particularly in developing optimization models for complex supply chain problems under uncertainty. He has made significant contributions to green supply chain management, reverse logistics, and the application of emerging technologies like blockchain in supply chain contexts. His research often integrates operations research methodologies with information systems perspectives to address contemporary business challenges. Analysis of Professor Lin's recent publications reveals a strong focus on supply chain resilience, sustainability, and the application of advanced computational methods to supply chain problems. His work frequently addresses uncertainty in supply chain networks, green logistics, and the integration of new technologies like blockchain into traditional supply chain operations. There's a clear evolution in his research from foundational supply chain management topics to more complex problems involving sustainability, risk management, and emerging technologies. Distinguished Professor award from National Chengchi University (2008) Professor Lin has led numerous research projects funded by Taiwan's Ministry of Science and Technology (previously National Science Council), focusing on supply chain risk management, green closed-loop supply chains, and innovative applications of information technology in business processes. His research has practical implications for industry, particularly in manufacturing, retail, and technology sectors. While specific student advising information isn't detailed in the provided materials, his extensive publication record with various co-authors suggests active mentorship of graduate students. Professor Lin's work intersects with several research labs at NCCU, particularly those focused on E-Business, Supply Chain Management, and emerging technologies. His research on blockchain applications in supply chain management aligns with interests of the Lab for Electronic Commerce and Service Science, while his work on sustainable operations connects with the Digital Sustainable Enablement Lab.

• Information Management
• Electronic Commerce
• Innovation Management
• +4 more

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.

• Innovation and Entrepreneurship
• Operational Strategy
• Entrepreneurial Ecosystems
• +3 more

Cheng Chih-fu is a Professor at the Institute of Technology Management and Intellectual Property, College of Business, National Chengchi University. He currently serves as Vice Dean of the College of Business and Executive Director of the EMBA program. His research focuses on innovation and entrepreneurship, operational strategy, entrepreneurial ecosystems, and digital transformation. Professor Cheng received his PhD from Waseda University's Graduate School of Information, Production & Systems in Japan (2005-2008), and holds MS and BS degrees in Computer Science from the University of Houston in the United States. His academic journey at National Chengchi University began as an Associate Professor in 2014, progressing to full Professor in 2021. His research spans entrepreneurial ecosystems, innovation management, digital business transformation, and supply chain management. Professor Cheng has published extensively in high-impact journals, with his recent work focusing on pandemic response strategies, digital supply chain management, and entrepreneurial ecosystem dynamics. His research often employs advanced analytical methods including fuzzy logic, DEMATEL technique, and multi-criteria decision-making approaches. Professor Cheng has secured numerous research grants from Taiwan's Ministry of Science and Technology, primarily focusing on sustainable entrepreneurship ecosystems, ESG impact on entrepreneurial ecosystems, and innovation opportunities. His research projects demonstrate a consistent focus on understanding how technology, policy, and collaborative innovation shape entrepreneurial success. Teaching Excellence Award (2010, 2011, 2012, 2021, 2022) Outstanding Teaching Award (2010, 2021) 2022 E-System Creative Application Competition Third Place - Guidance Teacher 2021 EMBA Thesis Award Excellent and Merit - Guidance Teacher 10-Year Distinguished Teacher Award (2017) Professor Cheng actively contributes to academic service as an Editorial Board Member of Asia Pacific Management Review since 2014 and serves as Director of the Chinese Association of Science and Technology Management and the Committee on Entrepreneurship Education. His work bridges academic research with practical business applications, particularly in helping entrepreneurs navigate complex ecosystems and develop sustainable business models.

Chu-Song ChenView profile

Professor

• Deep learning
• Computer vision
• Machine learning
• +4 more

Chu-Song Chen is a Professor and Department Head at the National Taiwan University (NTU), specifically within the Department of Information Engineering under the College of Electrical Engineering and Computer Science. He leads the Artificial Intelligence Application and Integration (AI²) Laboratory and specializes in advanced computational fields such as deep learning, computer vision, and big data analysis. His research focuses on integrating artificial intelligence technologies into practical applications, emphasizing areas like image processing, medical imaging, and multimedia systems. While no specific educational credentials or scientific awards are listed in the provided text, his work has established significant expertise in AI-driven solutions for complex data challenges. As a full-time faculty member, he maintains active academic engagement through teaching, research leadership, and collaboration. His contact information is publicly available via his institutional email address ( chusong@csie.ntu.edu.tw ), and further details about his work can be explored on his personal website.