Yi-Hsien Su is a Chair Professor and full-time faculty member at the College of Electrical Engineering and Computer Science, National Taiwan University. Currently serving as an Academician of Academia Sinica, Su oversees academic affairs, admissions, and student affairs for the Master's Program in Artificial Intelligence, Master's Program for Professional Students, and Doctoral Program within the Department of Information Engineering. Email: yihsien@csie.ntu.edu.tw Office: Room R205, Department of Information Engineering As a distinguished academic, Su's work focuses on artificial intelligence and information engineering. Their recognition as an Academia Sinica Academician highlights significant contributions to the field.
Gen-Huey Chen is a Distinguished Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served since 1987 (Associate Professor 1987-1992, Professor since 1992). He previously held leadership roles as Dean of the College of Science and Technology (2001-2005) and Department Chair (2001-2002) at National Chi Nan University. Education Ph.D. in Computer Management Decision, National Tsing Hua University, 1987 B.S. in Computer Science and Information Engineering, National Taiwan University, 1981 Research Interests Professor Chen's work centers on Graph Theory , Combinatorial Optimization , and Algorithm Analysis and Design , with significant contributions to discrete mathematics and network theory. His research bridges theoretical foundations and practical applications, particularly in structural graph problems and wireless network protocols, emphasizing efficient algorithmic solutions for complex computational challenges. Publications Trends His 2007-2009 publications reveal a cohesive research trajectory focused on graph-theoretic applications in networking. Key patterns include structural analysis of specialized graphs (chordal/circular-arc), fault tolerance in multiprocessor topologies (grids/tori), and bandwidth-optimized routing in mobile ad-hoc networks. These works consistently apply combinatorial optimization to solve real-world networking constraints while advancing theoretical graph algorithms. Advising and Grants No specific information regarding student advising or research grant funding is provided in the source material. Laboratory He directs the Discrete Algorithm Lab at National Taiwan University, which specializes in discrete algorithm development and wireless network protocol research.
Wen-Chin Chen is a Professor at National Taiwan University in the Department of Computer Science and Information Engineering. With a PhD in Computer Science from Brown University (1984), his expertise spans algorithms , multimedia systems , and quantum computing . Previously at GTE Laboratories (1984–1987), he has taught foundational courses such as Algorithms , Mathematical Analysis of Algorithms , and Quantum Algorithms . Education: BS in Mathematics, National Taiwan University (1976) PhD in Computer Science, Brown University (1984) His research integrates design and analysis of algorithms with applications in multimedia synchronization and quantum computing . Publications reflect deep engagement with data structures , combinatorics , and real-time system design , including work on audio-video synchronization models , heap-ordered trees , and genetic algorithm optimization . Recent projects involve quantum algorithms (e.g., Shor's, Grover's) and linear algebra for geometric and matrix operations, indicating ongoing contributions to theoretical computer science and applied mathematics .
Kun-Mao Chao is a Full-Time Professor at the Department of Computer Science and Information Engineering, National Taiwan University, where he has held multiple roles since 2002, including Chair Professor and Academician of Academia Sinica. He also serves in the Graduate Institute of Biomedical Electronics and Bioinformatics (2006–present) and holds adjunct appointments at various institutions. Education: PhD in Computer Science, Pennsylvania State University (1993) MS in Computer Engineering, National Chiao Tung University (1987) BS in Computer Engineering, National Chiao Tung University (1985) Research Expertise spans Algorithm Design (applied algorithms, approximation algorithms), Bioinformatics , and Computational Molecular Biology . His work focuses on problems like sequence alignment, spanning tree optimization, and DNA copy number variation analysis, often with interdisciplinary applications in medicine and epidemiology. Recent Publications (2012–2022) include studies on mathematical modeling for influenza vaccination policies , nanocarrier drug delivery systems , and XML database query algorithms , reflecting his diverse interests in both computer science and biomedical applications . Professional Activities: He has served as Editor for Information Processing Letters , PC Co-Chair for IEEE BIBE 2011 and ISAAC 2012, and on advisory committees for numerous conferences (APBC, BIBE, GIW, etc.). Laboratory: Leads the Algorithms and Computational Biology Laboratory at National Taiwan University, mentoring students in cutting-edge research areas.
Yen Huan Li is an Associate Professor in the Department of Computer Science and Information Engineering at National Taiwan University's College of Engineering. He leads the Learning Theory and Optimization Methods Laboratory and maintains an active research program in theoretical machine learning and optimization. His research expertise spans machine learning, convex optimization, high-dimensional statistics, and quantum information theory . Professor Li specializes in decision making under uncertainty with weak or no assumptions about reality, developing theoretical frameworks that bridge game theory and machine learning. His recent work focuses on Blackwell approachability, probability forecasting calibration, online prediction algorithms, and optimization methods for strongly convex problems. These theoretical contributions have implications for designing robust machine learning algorithms that perform well under minimal assumptions. Professor Li is actively recruiting students and research assistants interested in theoretical aspects of machine learning and optimization. Prospective students must demonstrate knowledge of relevant theory papers and be prepared to discuss them in depth. His laboratory work emphasizes rigorous mathematical analysis of learning algorithms, with applications spanning from basic theoretical questions to practical algorithm design considerations. The research environment combines deep theoretical investigation with attention to practical implications for machine learning systems.
Associate Professor Shih-wei Liao is a faculty member in the Department of Information Engineering at National Taiwan University, leading the ABC Lab / NTU Consensus Lab. His research bridges blockchain technology, Fintech, and Big Data systems with real-world applications. His research expertise spans: Blockchain systems (consensus protocols, environmental monitoring, Gcoin implementation) Fintech applications (digital currency, RegTech, automated clearinghouse) AI/ML optimization (CNN memory traffic, medical imaging, pollution forecasting) Compiler and virtual machine design (Android legacy systems) Recent publications (2018-2021) show strong focus on environmental blockchain applications, IoT security, and medical AI - with work published in IEEE conferences, Blockchain Robotics AI conferences, and journals like IEEE Network. His research demonstrates consistent evolution from foundational Android systems to cutting-edge blockchain applications. Awards include: Google Founders' Award for Android contributions CGO'04 Best Paper Award Nominee The ABC Lab maintains active industry partnerships with major technology companies and financial institutions, evidenced by seminars with Bitfinex/Tether executives and collaborations on Taiwan's Asia Silicon Valley Project. Professor Liao pioneered NTU's Blockchain course in 2015 and leads the NTU RegTech initiative. The lab operates from office R514 with Friday office hours (15:00-17:00), focusing on 'impact, learning-by-doing, interdisciplinary' approaches as stated in their mission.
Professor Yuh-Dauh Lyuu is a distinguished academic holding joint appointments at National Taiwan University's Department of Computer Science and Information Engineering and Department of Finance. As an Academician of Academia Sinica, he represents the highest level of scholarly achievement in Taiwan. His career spans both prestigious academic institutions and Wall Street, having served as Assistant Vice President at Citicorp Securities before joining academia full-time. Professor, Graduate Institute of Networking and Multimedia (2009-present) Professor, Department of Finance (2000-present) Professor, Department of Computer Science and Information Engineering (1999-present) Adjunct Associate Professor, National Chi-Nan University (1996-present) Former Department Chairman and Associate Dean at NTU Professor Lyuu's research uniquely bridges theoretical computer science and computational finance. His work spans parallel and distributed algorithms, computational complexity, cryptography, and their applications to financial problems including risk management and derivative pricing. His interdisciplinary approach has led to the development of practical financial software systems while maintaining theoretical rigor. As director of the Computational Theory and Financial Computing Laboratory, Professor Lyuu has mentored numerous students who have gone on to academic positions at institutions like Yuan Ze University, National Yang Ming Chiao Tung University, and Soochow University. His educational background includes a Ph.D. from Harvard University under Michael O. Rabin, with industry experience at NEC Research Institute and Citicorp Securities before joining academia. Academician of Academia Sinica (highest academic honor in Taiwan) Author of influential work in parallel processing and financial computing Mentor to multiple faculty members at Taiwanese universities Professor Lyuu teaches across both computer science and finance disciplines, offering courses from undergraduate Discrete Mathematics to graduate-level Financial Engineering and Computation. His dual appointments reflect his commitment to interdisciplinary research that connects theoretical computer science with practical financial applications, making significant contributions to both fields through his unique perspective.
Chia-Lin Yang is a Professor in the Department of Computer Science and Information Engineering at National Taiwan University's College of Electrical Engineering and Computer Science. He currently serves as Director of the Delta-NTU Joint Research Lab and maintains active leadership roles in multiple research initiatives. Professor Yang's research focuses on low-power embedded systems, high-performance processor architecture, and massive data storage systems. His current work explores storage systems for big data analytics, compute-in-memory architecture design, and AI-enabled IoT. His lab, the Embedded Computing Laboratory, investigates emerging memory technologies including ReRAM and their applications in neural network acceleration and processing-in-memory architectures. His recent publication trends show a strong focus on memory systems for AI acceleration, with significant contributions to processing-in-memory architectures, ReRAM-based neural network accelerators, and storage optimization for machine learning workloads. His work bridges computer architecture, memory systems, and AI hardware acceleration, addressing critical challenges in performance, power efficiency, and reliability. Professor Yang has received numerous prestigious awards including the 2018 Outstanding Electrical Engineering Professor award, two IBM Faculty Awards (2010, 2005), and the 2009 IEEE/ACM ISLPED Best Paper Award. As an active researcher, Professor Yang serves on multiple editorial boards including ACM Transactions on Computer Architecture and Code Optimizations, ACM Transactions on Embedded Computing Systems, and IEEE Transactions on Computer-Aided Design. He maintains leadership roles in major conferences including DAC and ISLPED, demonstrating his significant contributions to the computer architecture community. His Embedded Computing Laboratory provides research opportunities in cutting-edge areas of computer architecture and memory systems, with connections to industry through the Delta-NTU Joint Research Lab and Taiwan AI Labs.
WM Yan is an Associate Professor in the Department of Information Engineering at National Taiwan University , serving as a part-time faculty member. His research expertise spans computational mathematics, algorithm design, and applied computer vision techniques.
Rua-Huan Tsaih is a Professor at the Department of Management Information Systems, College of Business, National Chengchi University (NCCU). He holds a Ph.D. in Industrial Engineering and Operations Research from UC Berkeley. His research focuses on AI-driven solutions, neural networks, and digital service innovation, with applications in finance and cultural heritage preservation. Research Expertise: Specializes in IT-enabled services, business process analysis, and machine learning applications. Leads projects on AI financial modeling and museum digitalization. Honors: Distinguished Professor (NCCU) 30-Year Outstanding Teacher Award Multiple National Science Council Research Awards Outstanding Service Teacher Award Administrative Roles: Served as Director of NCCU's Computer Center and Innovation Incubation Center. Currently leads multiple government-funded projects on financial AI and cybersecurity.
Professor Mi-Hsiu Chiang is a faculty member at the Department of Money and Banking, National Chengchi University (NCCU), College of Commerce , with a career spanning over two decades in quantitative finance, credit risk modeling, and financial engineering. He holds a PhD in Quantitative Finance from Imperial College London and has published extensively in top-tier journals like Pacific-Basin Finance Journal , Financial Management , and Review of Quantitative Finance and Accounting . Education: PhD (Quantitative Finance), MSc (Mathematics), BSc (Mathematics) from Imperial College London. Research Focus: Credit risk modeling, options pricing, machine learning applications in finance, ESG investments, and climate risk hedging. Awards: Recipient of MOST Research Awards, Senior Outstanding Teacher (20 years) at NCCU, and several academic prizes including UMC Management Paper Award and Fubon Paper Award. Projects: Led numerous research initiatives funded by the National Science and Technology Council, including studies on climate change risk replication using GPT and machine learning, ESG sentiment in credit default prediction, and behavioral biases in derivatives markets. His recent publications emphasize stochastic dominance in stock markets, liquidity-driven strategies, and empirical analyses of credit and information risks. He has also contributed to behavioral finance by examining the disposition effect in options and convertible bonds. His work bridges quantitative methods with practical financial applications, including synthetic CDO valuation and TIPS pricing under inflation jumps. Scientific Awards 科技部研究獎勵 資深優良教師 (20年), 國立政治大學 第十屆聯電經營管理論文獎優等獎, 中華民國管理科學學會 台灣財務金融學會富邦論文獎 台大管理論叢宋作楠基金會論文獎 資深優良教師 (10年), 國立政治大學 學術研究成果國際化優等研究獎, 政治大學 教學特優教師, 政治大學商學院
Dr. Yen-Chun Chou is a Full-time Professor at the Department of Management Information Systems, National Chengchi University (NCCU), where he has held the position since February 2024. Previously, he served as Associate Professor (2018-2024) and Assistant Professor (2013-2018). His career spans over a decade at NCCU, focusing on E-Commerce, Service Science, and Econometric Analysis. Ph.D. in Information Systems from Arizona State University's W. P. Carey School of Business (2008-2013) Master of Science in Information Management from Carnegie Mellon University (2006-2007) Bachelor of Science in Information Management from National Chengchi University (2000-2004) Dr. Chou's research bridges E-Commerce with predictive analytics, machine learning, and operations management. His work explores emotional arousal in online reviews, sparse modeling for R&D efficiency, and interdisciplinary integration of buy-till-you-die modeling with machine learning. Recent projects include demand forecasting optimization and semiconductor product design analytics. His publications demonstrate expertise in supervised machine learning , technology adoption frameworks , and customer behavior modeling . Key topics include cross-item learning , meta-analysis of IT organizational adoption , and multi-theoretical productivity growth in IT services. Recipient of U-Micro Best Paper Award (Honorable Mention) and Ministry of Education's Special Outstanding Talent Grant Multiple awards from the National Science Council (now NSTC) and political university's Academic Research Excellence Awards Recognized as Distinguished Professor and Senior Excellent Teacher (10-year award) at NCCU Dr. Chou has served as Principal Investigator on over 12 MOST/NSTC projects since 2012, with current research focused on personalized marketing optimization (2025-2029) and semiconductor design analytics (2023-2025). His teaching fields include E-Commerce, Service Science, and Empirical Analysis.
Dr. Chien Yi Hsiang serves as an Assistant Professor in the Department of Management Information Systems at National Chengchi University's College of Business since August 2023. Holding a PhD in Computer and Information Technology from Purdue University (2013-2018), his research focuses on natural language understanding and digital innovation systems. Education: PhD in Computer and Information Technology, Purdue University Current Affiliation: Assistant Professor, NCCU College of Business His work examines crowd dynamics in digital platforms and human-computer interaction patterns. Recent research includes analyzing multi-modal features in live-stream commerce and developing recommendation algorithms for e-commerce systems. Projects cover both National Science and Technology Council grants and industry collaborations. Current research initiatives involve: Principal Investigator for TikTok live commerce analysis (2023-2024) Co-investigator for e-commerce recommendation systems (2025-2026) Dr. Hsiang's methodological approach combines computational linguistics with behavioral analytics, focusing on social media platforms and digital fundraising mechanisms. He maintains active collaborations with international institutions through the College of Business' global partnerships.
Huang Yaqun is a full-time faculty member at the Department of Information Engineering, National Taiwan University, holding the rank of Professor. Their administrative responsibilities include managing funding applications, billing, and logistics for academic projects, international programming competitions, and seminar arrangements.
陳恭 is a Professor at the Department of Information Management, College of Business, National Chengchi University. With expertise spanning blockchain technology, information security, and software engineering, he has established himself as a leading academic in Taiwan's fintech research community. His work bridges theoretical computer science with practical business applications, particularly in digital finance and secure information systems. Dr. 陳恭 earned his PhD in Computer Science from Yale University (1989-1994), following Bachelor's and Master's degrees from National Taiwan University. His academic journey at National Chengchi University spans over two decades, progressing from Associate Professor to his current position as Professor, with significant administrative roles including Department Chair and Director of the Computer Center. Professor 陳恭's research primarily focuses on blockchain and smart contracts, Open API technology and security, social big data analysis, and programming languages. His work demonstrates a clear evolution from foundational programming language research to cutting-edge blockchain applications. He has made significant contributions to secure multi-party computation, aspect-oriented programming, and blockchain-based systems, with publications in top journals and conferences across computer science, public administration, and business innovation. An analysis of Professor 陳恭's recent publications (2016-2024) reveals a strong concentration on blockchain technology and its financial applications, particularly in smart contracts, consensus algorithms, and secure data dissemination. His research increasingly integrates with IoT systems and demonstrates practical applications in financial technology, showing a clear trajectory from theoretical foundations to real-world business solutions. His notable achievements include: Senior Excellent Teacher (20 years) from National Chengchi University Multiple Distinguished Professor appointments Special Outstanding Talent Award from the National Science Council Multiple Internationalization Excellent Research Awards Professor 陳恭 has secured numerous research grants from both governmental agencies like the Ministry of Science and Technology and private sector organizations including financial institutions and technology companies. His projects often focus on blockchain applications, fintech innovation, and information security, demonstrating strong industry-academia collaboration. He is actively involved in establishing National Chengchi University as a leading center for blockchain research in Taiwan, contributing to research centers focused on fintech innovation and digital transformation. His work has fostered significant collaborations between academia and industry in the rapidly evolving field of digital finance.
