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.
Joseph Tao-yi Wang is a Distinguished Professor in the Department of Economics at National Taiwan University (NTU). He holds a PhD from UCLA and previously served as a Postdoctoral Scholar and Visiting Associate at Caltech. His research spans experimental economics, neuroeconomics, game theory, and behavioral economics, with a focus on strategic decision-making, market design, and learning in games. Wang directs the Taiwan Social Sciences Experimental Laboratory (TASSEL), which hosts large-scale experimental research and conferences like the 2017 APESA. His work integrates eye-tracking, pupillometry, and machine learning to study cognitive processes in economic decisions. Wang is also active in educational innovation, developing flipped classroom models with experiments for economics courses. His publications consistently explore behavioral deviations from game-theoretic predictions, such as overcommunication in sender-receiver games and learning patterns in auctions. Recent work emphasizes reproducibility in management science and AI applications in education. Wang’s research uses diverse methodologies—from neuroimaging to field experiments—to test economic theories in real-world contexts. Wang mentors through NTU’s Berkeley Economics Student Assistant Program (BESAP) and organizes mini-courses for high school students. He has not received scientific awards per the available data.
CHIEN-WEI CHEN is Professor and Chairman of the Department of International Business at National Chengchi University's College of Commerce. With over two decades of service at NCCU, he progressed from Assistant Professor (2000) to Associate Professor (2012) and full Professor (2019), concurrently serving as Department Chair (2023-2026). His research specializes in marketing strategy, international business, and competitive analysis, with particular focus on technology product launches and consumer behavior dynamics. Education: Ph.D. in Business Administration, University of Warwick (1996-2000) M.S. in Business Administration, National Taiwan University (1988-1990) B.S. in Electrical Engineering, National Taiwan University (1983-1987) Research Focus: Dr. Chen's work bridges marketing strategy and behavioral economics, examining how technological disruption influences consumer decisions (e.g., smartphone upgrades), how firms signal value through product preannouncements, and how co-branding strategies shape market perceptions. His research consistently applies empirical methods to high-technology contexts in international markets. Publication Trends: His 15 most recent articles (2002-2023) reveal three dominant themes: 1) Strategic signaling in product launches and financial markets, 2) Psychological drivers of technology adoption/upgrading, and 3) Cross-border marketing efficiency. Methodologically, they combine behavioral experiments, event studies of stock reactions, and empirical analyses of firm strategies. Awards & Honors: 20-Year Outstanding Teacher Award (NCCU, 2020) 10-Year Outstanding Teacher Award (NCCU, 2010) International Research Excellence Award (NCCU, 2006) Research Leadership: As Principal Investigator for 10+ National Science and Technology Council projects (2013-2021), he secured funding for studies on consumer technology adoption patterns, signaling theory applications in marketing, and service innovation frameworks. Projects include 'Fear of Product Obsolescence' (2013-2015) and 'Upgrade Decisions for High-Tech Durables' (2015-2017).
Jieh Hsiang is a Distinguished Professor at National Taiwan University , with affiliations in the Department of Computer Science and Information Engineering, the Digital Archives and Automatic Inference Laboratory, and the Digital Humanities Research Center. He holds concurrent roles at the Institute of Information Science, Academia Sinica, and the Higher Education Research & Development Office, National Taiwan University. Education PhD in Computer Science, University of Illinois at Urbana-Champaign (1979–1982) BS in Mathematics, National Taiwan University (1972–1976) Research Interests Hsiang's work spans automated reasoning , digital libraries , digital humanities , and information retrieval . His research focuses on integrating computational methods with cultural heritage preservation , particularly through tools like DocuSky and databases such as the Taiwan Historical Digital Library . He explores AI applications in patent analysis , historical text mining , and semantic relationships in legal documents . Recent Trends in Publications His recent articles highlight advancements in BERT and GPT-2 fine-tuning for patent classification , LARGE language models for legal automation , and GIS-based analysis of historical archives . Themes include digital preservation , AI-driven legal text analysis , and cross-disciplinary computational tools for humanities scholars. Scientific Awards 2019 Ministry of Science and Technology Distinguished Research Fellow 2009 National Taiwan University Outstanding In-House Service Award 2008 Chinese Library Association Special Contribution Award 2006 IEEE Test-of-Time Award 1997 & 1999 National Science Council Outstanding Research Award 1997 Ministry of Education Outstanding Industrial-Academic Collaboration Award 1998–2001 Founder and First Chair of IFIP WG1.6 Labs and Collaborations Hsiang leads the Digital Archive and Automatic Inference Laboratory , developing platforms like DocuSky for digital humanities, Taiwan Historical Digital Library , and QGIS Cloud Maps for spatial analysis. His team collaborates internationally on projects involving historical document digitization , patent automation , and cross-domain knowledge integration .
Lien-Ti Bei is a Distinguished Professor in the Department of Business Administration at National Chengchi University's College of Commerce in Taipei, Taiwan. She also serves as Chairman of the Center for Public and Business Administration Education. With over 25 years of academic experience, Professor Bei has established herself as a leading scholar in consumer behavior and marketing research in Taiwan and Asia. Her research interests span Consumer Behavior, Consumer Psychology, Brand Management, and Marketing Research, with recent work focusing on ESG implementation, consumer neuroscience applications in marketing, and sustainable business practices. Professor Bei's work bridges theoretical marketing concepts with practical business applications, particularly in the Asian context. Her publication record shows consistent productivity with over 50 journal articles in SSCI/TSSCI-indexed journals since 1995, including recent publications in Journal of Engineering and Technology Management, Journal of Product & Brand Management, and Harvard Business Review Chinese Edition. Her research demonstrates an evolution from traditional brand extension and consumer behavior topics toward contemporary issues like ESG, AI-human interaction, and sustainable marketing practices. Distinguished Professor at National Chengchi University (multiple years) Asia's Top 100 Marketing Scholars (2017) Chungni Outstanding Teaching Award Multiple Research Awards from Taiwan's National Science and Technology Council Management Journal Paper Award Professor Bei has successfully secured numerous research grants, primarily from Taiwan's National Science and Technology Council, with current projects extending through 2026. Her active role as Principal Investigator on multiple grants demonstrates ongoing research productivity. She serves as Editor for Management Review and has contributed to special issues on sustainable development and consumer behavior trends.
Professor Ai-Chun Pang is affiliated with the National Taiwan University , serving in both the Department of Computer Science and Information Engineering and the Graduate Institute of Networking and Multimedia . He held leadership roles including Associate Dean (2018-2022) and Director (2013-2016) within the College of Electrical Engineering and Computer Science. His research spans Fog/Edge Computing , Wireless Networking , Mobile Computing , and AIoT Systems , with recent advancements in federated learning security, energy-efficient network design, and 5G/6G optimization. Collaborative work includes applications in vehicular networks, industrial control systems, and non-terrestrial connectivity. Key publication themes: Edge Intelligence and Privacy (2024) Federated Learning for Heterogeneous Devices (2023-2024) 5G Backhaul Optimization (2017-2021) Wireless Energy Transfer (2022) Awarded IEEE Fellow 2021 for contributions to mobile edge networks, he has received multiple IEEE Vehicular Technology Society awards, the CES 2019 Innovation Award , and teaching accolades including National Taiwan University Distinguished Teaching Award (2010) . His lab has produced 16 PhD students now in academia and industry. As Editor-in-Chief of IEEE Wireless Communications Letters and active in conference organization, he shapes global research directions. Current projects focus on GenAI for Networking and Non-Terrestrial Networks , with recent 2024 admissions for new students.
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 .
Wei-Chieh Su is a full Professor in the Department of International Business at National Chengchi University (NCCU), College of Commerce, Taiwan. Since 2013 he has progressed from Assistant Professor to Associate Professor and, since August 2021, to full Professor. In parallel, since September 2023 he serves as Associate Executive Director of the Sinyi School at NCCU. Education Ph.D. in Business Administration, The University of Texas at Dallas, USA (2013) M.B.A., Department of Business Management, National Cheng Kung University, Taiwan (2006) B.B.A., Department of International Trade, National Chengchi University, Taiwan (2004) Research Interests Su’s scholarship lies at the intersection of corporate social responsibility (CSR) , business ethics , and international strategic management . His work examines how non-market strategies—such as CSR signaling, sustainability reporting, and corporate philanthropy—shape firm value, stakeholder perceptions, and governance outcomes across developed and emerging economies. A particular focus is placed on East-Asian contexts, where institutional transitions and family ownership create unique strategic contingencies. Methodologically, he integrates multi-level governance perspectives, drawing on agency theory, upper-echelons theory, and stakeholder theory to explore antecedents and consequences of CSR decoupling, gender diversity in top management, tax-haven utilization, and cross-border growth strategies of multinational enterprises. Publication Trends Across more than thirty SSCI/TSSCI publications since 2008, Su’s recent articles (2020-2025) exhibit a clear trajectory toward environmental, social, and governance (ESG) themes, investigating how board governance moderates the carbon-emissions–forecast-error nexus and how comparative governance structures influence corporate misconduct in Japan. Earlier work (2013-2019) concentrated on strategic CSR, family-firm risk-taking, and the signaling value of CSR in emerging markets. His handbook chapter (2024) consolidates insights on the antecedents and governance implications of corporate philanthropy. Scientific Awards & Honors National Chengchi University Chair Professor (2025, 2023, 2022) NSTC Research Award (2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017) 10-Year Senior Excellent Teacher Award, NCCU (2023) National Chengchi University Excellent Research Award (2016-2022) Wu Ta-You Memorial Award, Ministry of Science and Technology (2015) Mr. Lü Feng-Chang Memorial Award, Chinese Management Science Society (2019) Grants & Collaborative Projects Since 2014 Su has been Principal Investigator (PI) or co-PI on over twenty large-scale grants funded by Taiwan’s National Science and Technology Council (NSTC), cumulatively exceeding NT$25 million. Ongoing flagship projects include: Evolution, Future Trends, and Value of ESG (2022-2025, 3-phase) Non-market Issues and Strategic Alliances (2023-2026, 3-phase) Taiwan ESG Index Measurement and Forecasting (2021-2024, 2-phase) He also participates in the FinTech Innovation Operations Research Center and Open Securities projects, exploring blockchain-enabled securities innovation. Laboratories & Teams At NCCU, Su leads a dynamic research group focusing on CSR, sustainability, and international business strategy. While formal laboratory names are not specified, his team integrates doctoral and master-level researchers in data analytics, survey design, and qualitative case studies, producing policy-relevant outputs for Taiwanese regulators and industry associations.
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.
Tsan-sheng Hsu is a Research Professor at the Institute of Information Science (IIS), Academia Sinica in Taiwan. He has been a tenured full research fellow since June 2003, after serving as an assistant research fellow starting in 1993 and associate research fellow from 1997-2003. He also served as Deputy Director of IIS from 2002-2004 and Director of Academia Sinica Computing Center from 2008-2010. Since 2019, he has been Editor in Chief for the Journal of Information Science and Engineering. Dr. Hsu's educational background includes: Bachelor of Science in Computer Sciences from National Taiwan University (1981-1985), graduating first in class Master of Science in Computer Sciences from University of Texas at Austin (1990) Ph.D. in Computer Sciences from University of Texas at Austin (1993) Dr. Hsu's primary research interests focus on graph theory and its applications , where he investigates fundamental properties of graphs and develops algorithms for connectivity augmentation problems. His work in algorithm design, analysis, implementation and performance evaluation spans sequential, parallel, and distributed algorithms. In data-intensive computing , he explores data privacy protection, large-scale social network analysis, and computer Chinese chess. His research often bridges theoretical breakthroughs with practical applications in network reliability, statistical data security, and efficient computation. Dr. Hsu's publication record demonstrates a consistent focus on graph theory problems, particularly connectivity augmentation, graph searching, and distance-hereditary graphs. His work shows progression from theoretical foundations to practical applications, with an emphasis on developing efficient algorithms with provable performance guarantees. The majority of his publications appear in top theoretical computer science venues, reflecting his strong contributions to fundamental algorithmic research. Dr. Hsu has received several prestigious awards and honors: Bert Kay Dissertation Award from University of Texas at Austin (1993) Academia Sinica Research Award for Junior Research Investigators (2003) Phi Tau Phi Scholastic Honor Society membership (1985) MCD fellowship and IBM graduate fellowship during doctoral studies Dr. Hsu leads the Massive Data Computation and Management Lab at Academia Sinica, where he directs research on graph theory applications, algorithm design, and data privacy. His research has been supported by various projects including theoretical foundation work on graph augmentation and searching problems, as well as applied research in inference control, computer Chinese chess, and parallel computation. He has collaborated extensively with researchers from institutions including Northwestern University, National Tsing Hua University, and National Taiwan University.
Dr. YI LING LIN is an Associate Professor in the Department of Management Information Systems at National Chengchi University, where she has been serving since 2017 (promoted to Associate Professor in 2019). Her research focuses on recommender systems, human-computer interaction, and information systems, with particular expertise in micro-moment recommendation, crowdsourcing, and programming education. Dr. LIN earned her Ph.D. in Information Management from the University of Pittsburgh (2007-2013). Prior to joining National Chengchi University, she served as an Assistant Professor at National Sun Yat-sen University (2014-2017). Her research centers on recommender systems, particularly micro-moment recommendation systems that respond to users' immediate needs. She investigates human-computer interaction, programming education technologies, and e-commerce applications, often combining theoretical frameworks with empirical studies to understand user behavior and improve system design. Her work spans multiple domains including healthcare Q&A forums, programming education, and financial applications. Dr. LIN's publication record demonstrates consistent contributions to top journals and conferences in information systems and human-computer interaction. Her recent work focuses on competitive gamification in recommendation systems, the influence of social relationships and emotions on micro-moment recommendations, and AI-assisted programming education. She has developed frameworks for personalized interaction mechanisms and explored applications in e-commerce, insurance, and streaming retailing. 資深優良教師(10年) (Long-service Excellent Teacher) Multiple teaching excellence awards from National Chengchi University National Science and Technology Council Research Awards 2022 National College Smart Innovation Competition (E-commerce and Financial Technology) 2021 National College Information Application Service Innovation Competition Taiwan Service Science Society Academic Research Award Dr. LIN has been Principal Investigator for numerous research projects, primarily funded by the National Science and Technology Council (MOST). Her current projects focus on micro-moment recommendation systems, digital insurance experiences, and e-commerce optimization. She has led educational innovation projects for programming instruction and maintains strong industry connections through various collaborative projects with financial institutions and technology companies. Dr. LIN is affiliated with the Department of Management Information Systems at National Chengchi University, which houses several research labs including the E-Business Lab, Ambient e-Services Laboratory, and Lab for Electronic Commerce and Service Science. Her research aligns particularly with the E-Business Lab and Lab for Electronic Commerce and Service Science.
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.
Professor Wei-Yu Kuo is a distinguished faculty member in the Department of International Business at National Chengchi University's College of Commerce in Taiwan. With over 25 years of academic experience, he has progressed from Assistant Professor to his current position as Professor, demonstrating significant contributions to finance research and education. National Chengchi University, Department of International Business (1998-present) PhD in Financial Economics, University of Cambridge (1994-1998) Research focuses on financial markets, behavioral finance, and risk management Professor Kuo's research expertise spans International Financial Management, Financial Economics, and Financial Management, with particular emphasis on market microstructure, investor behavior, and volatility modeling. His work bridges theoretical finance with empirical analysis of Taiwan's financial markets, contributing significantly to both academic literature and practical understanding of market dynamics. He has published in top-tier finance journals including Management Science, Review of Financial Studies, and Journal of Banking and Finance. His recent research examines ETF investor behavior, individual trading patterns, and volatility dynamics, reflecting a consistent focus on understanding market participants' decision-making processes. Professor Kuo's publications demonstrate a sophisticated blend of theoretical frameworks and empirical analysis, often leveraging unique Taiwan market data to address broader financial questions. Distinguished Professor at National Chengchi University (multiple years) National Science and Technology Council Outstanding Research Award Academic Research Excellence Awards Multiple teaching excellence awards for EMBA programs 20-Year Outstanding Service Award As Principal Investigator on numerous research projects funded by Taiwan's National Science and Technology Council, Professor Kuo has secured continuous research support for over two decades. His current research focuses on ETF price efficiency, risk concentration, and performance attribution, indicating his ongoing relevance in contemporary finance research. He has also contributed to industry consulting projects with financial institutions including insurance companies and securities firms.
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.
Dr. 羅秉政 is currently serving as an Assistant Professor at the Department of Money and Banking , National Chengchi University College of Commerce , where he has been employed since February 2022. His research focuses on quantitative finance and financial markets, with a particular emphasis on options hedging, investment strategies, and market forecasting. Education: Ph.D. in International Finance from National Taiwan University's College of Management. His work integrates statistical methodologies with financial applications, including projects on stochastic volatility modeling, multifactor investment performance, and predictive analytics for stock markets. He has received grants from the National Science and Technology Council (MOST) for studies involving: Recommender Systems in Securities Analysis Accounting Knowledge in Machine Learning Applications Asymmetric Prediction Error Costs in Asset Pricing
