Shang-Tse Chen is an Associate Professor at the Department of Computer Science and Information Engineering and Graduate Institute of Networking and Multimedia , National Taiwan University . He leads the NTU AI Security Lab , focusing on applied and theoretical machine learning with emphasis on cybersecurity, adversarial ML, and ML privacy/fairness. Education: PhD in Computer Science (Georgia Tech, 2019), BSc in CSIE (NTU, 2010) Awards: K. T. Li Young Researcher Award (2025), IBM PhD Fellowship (2018), KDD Best Student Paper Runner-Up (2016), NSF SaTC Grant (2017-2021) His research spans adversarial ML, certified defenses, model inversion attacks, and intersection with differential privacy/fairness. Recent work includes physical adversarial attacks on object detectors and practical defenses using JPEG compression. He teaches courses like Security and Privacy of Machine Learning and Introduction to Medical Informatics . Key publication trends show focus on adversarial robustness (ICML/NeurIPS/ICLR), cybersecurity applications (ACSAC), and ML fairness (ACL/EMNLP). Collaborations include industry partnerships with Intel Labs and Symantec. Scientific Awards: K. T. Li Young Researcher Award (2025) ACM TiiS Best Paper Honorable Mention (2020) IBM PhD Fellowship (2018) KDD Audience Appreciation Award Runner-Up (2018) Symantec Fellowship Runner-Up (2016) KDD Best Student Paper Runner-Up (2016) NSF Grant (2017) He advises 13 current students (PhD/MS/Undergrad) and has mentored alumni now at CMU/UC Berkeley. The lab actively recruits postdocs and students across levels.
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 .
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.
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.
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.
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.
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.
Szu-Ting Chen is an Associate Professor at the Department of Law, College of Law, National Cheng Kung University (NCKU). With a Doctor of Law from the University of Nantes (2010), she teaches Copyright Law, Intellectual Property Law, Information Technology Law, and Contract Law. Her research spans copyright, cultural asset protection, film industry law, and digital rights. Doctor of Law, University of Nantes, France (2010) Master of Laws, National Taiwan University (2000) Bachelor of Law, National Chung Hsing University (1996) Her research focuses on copyright law, particularly technical protection measures and their interoperability across jurisdictions. She examines intersections between intellectual property, cultural industries, and digital technology, with significant comparative studies on French, EU, and Asian legal frameworks. Recent projects include analyzing copyright enforcement in information societies and contract law applications in digital contexts. Her publications address anti-piracy legislation (France, EU), software escrow agreements, B2B e-commerce dispute resolution, and spam regulation trends. These works reflect expertise in technology law, corporate compliance, and cross-jurisdictional legal harmonization. 2005 : French Ministry of Foreign Affairs Eiffel Doctoral Scholarship 2000 : Securities and Futures Golden Rafter Award (Academic Paper) 1998 : Ministry of Foreign Affairs Diplomatic Scholarship She has advised three master's students on copyright, film script legal issues, and entertainment industry contracts. Notable service roles include directing the Taiwan Intellectual Property Law Association and serving as a civil court assistant judge (2003-2004). Her academic contributions integrate European comparative law into Taiwanese legal discourse.
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.
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.
Eugenia Huang is a Professor at the Department of Management Information Systems, College of Business, National Chengchi University. She holds a Ph.D. in Electrical and Computer Engineering from Northeastern University (USA) and has been affiliated with NCCU since 1993. Her career spans over three decades in academia with a focus on digital commerce, knowledge systems, and human-technology interaction. Ph.D., Electrical and Computer Engineering, Northeastern University (1987-1991) M.S., Computer Information, University of Michigan M.S., Physics, Northwestern University B.S., Physics, National Tsing Hua University Dr. Huang's research revolves around E-Commerce and M-Commerce systems, Smart Living technologies, and Knowledge Management frameworks. Her work explores how digital platforms reengineer business processes and impact consumer behavior through innovative service design. Analysis of her 15 most recent publications shows sustained focus on mobile commerce (2015-2018), digital trust models (2017), and knowledge interaction mechanisms (2013). Key trends include virtual community dynamics, service quality measurement, and the psychological impacts of digital technologies. Best Paper Award, Southwest DSI (2005) Distinguished Paper Award, DSI (2010) Best Paper Nomination, HICSS (1999) NCCU Distinguished Professor (1997) Best Paper Award, Asia Pacific DSI (1996) She has supervised student research on topics including consumer behavior in online gaming, mobile technology adoption, and virtual community development. Her career also includes part-time administrative roles as department chair (2008-2011).
Chen-Chung Ku is an Assistant Professor at the Department of Law and the Institute of Technology Law at National Cheng Kung University. He also holds adjunct positions at several other institutions including Asia University, Soochow University, and Fu Jen Catholic University, where he serves as an Adjunct Assistant Professor in their respective law departments. His academic career includes serving as an Examination Yuan examiner and as a Lecturer for the Intellectual Property Promotion Research Group at National Cheng Kung University. Education: Doctor of Law, University of Potsdam, Germany Professor Ku specializes in Criminal Law with particular expertise in Fundamental Criminal Law Theory, Environmental Criminal Law, Medical Criminal Law, and Property Crime. His teaching portfolio includes General Provisions of Criminal Law, Specific Provisions of Criminal Law, Criminal Case Studies, Risk Interpretation and Criminal Law Research, and Research on Contemporary German Criminal Law Theory. He also teaches Introduction to Law, Criminal Procedure Law, Copyright Criminal Law, Introduction to Technological Criminal Law, and Special Topics on Intellectual Property Protection and Criminal Law. His scholarly work shows a strong focus on contemporary issues in criminal law, with recent publications addressing topics such as joint criminal intent, medical criminal law, intellectual property crime, and the application of criminal law in risk society contexts. His research demonstrates expertise in both theoretical frameworks and practical applications of criminal law across various specialized domains. Professor Ku has published extensively in prestigious law journals including Taiwan Journal of Law, Soochow Law Journal, and National Cheng Kung University Law Review. His publications span from 2007 to 2013, demonstrating consistent scholarly output in criminal law theory and application. As an educator and scholar, Professor Ku bridges German legal theory with practical Taiwanese legal applications, particularly evident in his work on Contemporary German Criminal Law Theory and his German-translated publications. His research interests reflect the evolving nature of criminal law in response to technological advancements, medical ethics, and environmental concerns.
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.
Professor YU-JU TU is a distinguished faculty member in the Department of Management Information Systems at National Chengchi University in Taipei, Taiwan. Currently holding the position of Professor since February 2025, she has progressed through the academic ranks from Assistant Professor (2014-2020) to Associate Professor (2020-2025) before achieving her current position. She earned her Ph.D. in Business Administration from the University of Illinois, Urbana Champaign between 2008 and 2014. Professor TU's research expertise centers on information management with specific focus areas including IT portfolio management, RFID data management, and decision support systems. Her scholarly work demonstrates a consistent trajectory in examining how information systems can solve complex business problems, particularly in supply chain management, retail applications, and emerging technologies like autonomous vehicles and drone delivery systems. Her research bridges theoretical frameworks with practical applications, often addressing security, privacy, and ethical considerations in technology implementation. Her publication record shows remarkable productivity with numerous articles in top-tier journals including Information & Management, Decision Support Systems, European Journal of Information Systems, and Communications of the ACM. Her research portfolio reveals a clear evolution from foundational RFID security work to broader applications in autonomous systems and ethical considerations in technology deployment. Recent work increasingly addresses contemporary challenges in drone delivery security, misinformation detection, and ethical consumerism in technology-mediated supply chains. 資深優良教師(10年) from National Chengchi University (2024) 學術研究優良獎 from National Chengchi University (2022) Multiple Excellent Digital Learning Course Awards (2014-2020) College of Commerce Teaching Excellence Award (2018, 2020) List of Teachers Ranked as Excellent by Students from UIUC (2013) Professor TU actively leads multiple research projects funded by Taiwan's National Science and Technology Council, with current work focusing on RFID/IoT systems, drone systems for last-mile delivery, and sustainable applications. She has served as Principal Investigator for numerous projects examining security and privacy risks in emerging technologies, demonstrating her leadership in bridging academic research with practical industry applications. Her work with the Ministry of Education on cross-agency big data statistical database construction further highlights her contribution to national-level information infrastructure development.
Chih-Yuan Chou is an Associate Professor at the Department of Management Information Systems, School of Management, National Chengchi University since 2025.02. Previously served as Assistant Professor at the same department from 2020.08 to 2025.02. Ph.D. in Technology Leadership & Innovation, Purdue University (2016-2020) M.S. in Economics, Purdue University (2014-2016) M.S. in Management Information Systems, National Chengchi University (2010-2012) B.S. in Information Management, National Central University (2006-2010) Research focus spans Social Media, E-commerce, Human-Automation Interaction , and Technology Innovation . Key themes include digital marketing communication, technostress coping strategies, and privacy boundary theories. Current projects explore AI-driven language revitalization and recommendation systems in career development. Recent publications examine gamification in education , neobank ecosystem dynamics , and generative AI adoption , appearing in journals like Electronic Markets , Information Systems Journal , and conferences including ECIS and PACIS . Notable awards: ECIS 2025 Best Paper (2nd Runner-up) , AIS Distinguished Member , and multiple conference associate editor commendations. Active in research grants including: 2025: Principal Investigator for AI-Driven Indigenous Language Revitalization 2025: Principal Investigator for Martech Strategy Filtering 2023: Principal Investigator for DevOps-based Education Design 2022-2023: Advisor for Digital Consumer Fraud Studies Teaching expertise: Database Management Systems , Social Media & Digital Marketing , and Technology Innovation . Currently serves as Alumni Ambassador for Purdue University.
