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.
Professor Yun-Nung Chen works at the Department of Computer Science and Information Engineering , National Taiwan University , focusing on Natural Language Processing and Dialogue Systems . With a Ph.D. from Carnegie Mellon University , their research bridges Machine Learning and Language Understanding in conversational AI. Education Ph.D. in Language Technologies, Carnegie Mellon University (2015) M.S. in Computer Science, National Taiwan University (2011) B.S. in Computer Science, National Taiwan University (2009) Research Trends Recent work emphasizes Retrieval-Augmented Generation , Knowledge Editing in LLMs , and Temporal Modeling for dialogue systems. Key themes include cross-modal understanding , semantics-driven dialogue , and robust language modeling across domains. Scientific Recognition Best Student Paper, IEEE ASRU 2013 Best Student Paper, IEEE SLT 2010 Distinguished Master Thesis, ACLCLP 2011 Best Paper Finalist, ISCA INTERSPEECH 2012 Current projects involve StreamBench for continuous agent improvement and Taiwan LLM for culturally aligned language models.
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.
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.
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.
Chien Hsiu Lin is an Associate Professor at the Department of Finance , National Chengchi University 's College of Business , with a research focus on International Finance , Asset Pricing , and Applied Econometrics . The academic career spans from 2007 to present, including promotions from Assistant to Associate Professor. Education PhD in Economics, University of California, Los Angeles (2002-2007) MS in International Trade, National Chengchi University (1998-2000) Research interests examine financial market dynamics through the lenses of: Quantitative easing impacts on Asian financial markets Carry trade portfolio optimization under regime shifts Exchange rate exposure and macroeconomic determinants Foreign exchange option pricing with jump risks Volatility spillover effects in regional economies The publication trends reveal expertise in: Applied econometric modeling for financial markets Macroeconomic factors in currency returns Risk management in emerging market finance Regime-switching financial models Quantitative easing policy analysis Scientific Awards Senior Outstanding Teacher Award (2017) - National Chengchi University Grant Leadership : Principal investigator for 12 Ministry of Science and Technology projects (2007-2026) covering exchange rate expectations, market spillovers, jump risk modeling, and productivity analysis in financial sectors.
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 Sonia Ming-Shiow Lo is a distinguished academic at National Chengchi University's Department of Business Administration in the College of Commerce, where she currently serves as Professor and MBA Program Director. Her extensive career spans over 15 years at NCCU, progressing from Assistant Professor to her current position as full Professor. She has also held significant leadership roles including Director of the Innovation and Entrepreneurship Office (2021-2023) and various planning positions within the university. Professor Lo earned her PhD in Management and Marketing from the University of Melbourne, Australia (2004-2008). PhD in Management and Marketing, University of Melbourne (2004-2008) Her research focuses on Supply Chain and Operations Management, with particular expertise in green supply chains, service operations strategy, pricing and revenue management. Professor Lo has pioneered research examining how firms transition toward sustainability, investigating the relationships between supplier management practices, environmental strategies, and business performance. Her work bridges theoretical frameworks with practical business applications, especially in the Taiwan context. Analysis of Professor Lo's 15 most recent publications reveals a strong focus on sustainable operations and supply chain management. Her work consistently explores the intersection of environmental sustainability and operational efficiency, with particular attention to green supply chain integration, supplier relationships, and corporate environmental strategies. More recently, her research has expanded to include digital transformation and supply chain resilience, reflecting emerging industry challenges. Professor Lo has received numerous prestigious awards recognizing both her research excellence and teaching abilities: Best Paper Award of IJOPM 2014 9th Delta Enterprise Environmental Ethics Research Award (2019) NSC Research Award (2019) Senior Excellent Teacher (10 years) from NCCU (2018) Multiple College of Commerce Teaching Excellence Awards (2011-2022) Professor Lo has secured substantial research funding, serving as Principal Investigator for numerous projects funded by Taiwan's Ministry of Science and Technology (MOST). Her current research portfolio includes the Supply Chain Resilience Center (SCRC), studies on Taiwan's high-tech industry supply chain restructuring amid geopolitical conflicts, and investigations into digital transformation maturity. She has successfully led interdisciplinary research teams and collaborated with industry partners including ASUS, Senao International, and various manufacturing firms. Professor Lo leads the Supply Chain Resilience Center (SCRC) at NCCU, a collaborative research initiative with Charles University in the Czech Republic. This center focuses on developing frameworks and strategies to enhance supply chain resilience, particularly relevant in today's volatile global business environment. She also collaborates closely with industry partners through various research projects addressing practical supply chain challenges.
Professor Shang Xiaochun is a distinguished faculty member of the Department of Information Management at the College of Business, National Chengchi University in Taipei, Taiwan. With extensive experience in academic leadership, she has served as Department Chair, Deputy Dean of the College of Business, and Director of the International Business Master's Program (English). Her career spans both academic and professional realms, with prior experience at major consulting firms including IBM, KPMG, and BNF Consulting. Professor Shang earned her PhD in Information Systems from the University of Melbourne, Australia (1997-2002) and a Master's degree in Computer Technology from the New York Institute of Technology, USA (1983-1984). Her educational background reflects a strong foundation in both technical and business disciplines, which informs her interdisciplinary research approach. Professor Shang's research focuses on enterprise model innovation, enterprise system management, enterprise process management, and change management. Her work bridges the gap between technical information systems and business management, with particular emphasis on how organizations can leverage technology for competitive advantage. She has made significant contributions to understanding how businesses can innovate through information systems, manage organizational change during technology implementation, and optimize business processes in the digital age. Her extensive publication record demonstrates consistent scholarly output across multiple high-impact journals. Her research trajectory shows a progression from foundational work on enterprise systems implementation in the early 2000s to more recent investigations into mobile payment innovation, autonomous vehicle technologies, and social media applications. The breadth of her work spans traditional business process management, customer relationship management, and cutting-edge digital innovation areas. Professor Shang has secured research funding from both the Ministry of Science and Technology and other non-governmental organizations, including projects such as the '2019 International Symposium on Smart Enterprise Information Application Development' and 'Service Innovation E-Newsletter.' These projects reflect her commitment to bridging academic research with practical business applications. Within the academic community, Professor Shang has made significant contributions through her leadership roles and collaborative research. She has served as principal investigator on multiple research projects and has mentored numerous students through their academic journeys. Her work continues to influence both academic discourse and practical business applications in information systems management.
楊曉文 is a Full Professor at the Department of Money and Banking, College of Commerce, National Chengchi University (NCCU). Her research specializes in sustainable finance, actuarial science, and risk management, with particular focus on ESG integration in investments, mortality-linked securities, and pension system sustainability. She holds a Ph.D. in Actuarial Mathematics from Heriot-Watt University and an M.S. in Statistics from the University of Iowa. Her research explores: ESG materiality in corporate performance and equity valuation Longevity risk modeling for insurance products Reverse mortgage pricing under stochastic house prices Robo-advisor adoption determinants Volatility targeting in sustainable indices Recent publications demonstrate strong emphasis on Taiwan's financial markets and cross-country comparative analyses. Awards & Honors: MOST Research Awards (ROC years 109-113) 20-Year Outstanding Teacher Award, NCCU (2020) Professional Leadership: Serves as Vice Chairman of Taiwan Pension Fund Association, Independent Director at Yuanta Financial Holdings, and Director of NCCU's Financial Research Center. Leads multiple national research projects on ESG investing and retirement finance funded by Taiwan's National Science and Technology Council.
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.
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
