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Shang-Tse ChenView profile

Associate Professor

• Machine Learning
• Data Mining
• Cybersecurity
• +5 more

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.

Jieh HsiangView profile

Professor

• Automated Reasoning
• Programming Language Logic
• Artificial Intelligence
• +5 more

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 .

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

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

• Petri nets
• Discrete event systems
• Flexible manufacturing systems
• +4 more

Daniel Yuh Chao is a Professor in the Department of Management Information Systems at National Chengchi University's College of Commerce, specializing in Petri nets, discrete event systems, and flexible manufacturing systems control. His academic career at NCCU spans from Associate Professor (1994-1997) to full Professor (1997-present), with recognition as a Distinguished Professor in 2008. National Chengchi University, Department of Management Information Systems (1994-present) Ph.D. in EECS from University of California, Berkeley (1983-1987) M.S. in Electrical Engineering from University of California, Los Angeles (1980-1981) B.S. in Mechanical Engineering from National Taiwan University (1972-1976) Professor Chao's research focuses on Petri net theory and applications, particularly in deadlock prevention and control of flexible manufacturing systems. His work has established significant theoretical foundations for siphon-based control, elementary siphon analysis, and maximally permissive controllers. He has developed innovative approaches for state enumeration, controller synthesis, and simplification of control structures without requiring full reachability analysis. His publication record shows consistent high-impact research from 1986 through 2014, with over 80 journal and conference papers. The most recent works (2013-2014) demonstrate continued advancement in recursive state computation methods, closed-form controller solutions, and structural analysis of weakly dependent siphons, with applications to increasingly complex manufacturing systems. Distinguished Professor at National Chengchi University (2008) Professor Chao has supervised numerous research projects on deadlock analysis and Petri net applications in manufacturing systems. His theoretical contributions have practical implications for industrial automation, particularly in developing efficient control strategies for complex resource-sharing systems. His research group has produced significant advancements in computational methods for Petri net analysis, reducing the complexity of controller synthesis while maintaining system liveness and performance. His laboratory work focuses on applying Petri net theory to real-world manufacturing challenges, with particular emphasis on developing computationally efficient control algorithms that can scale to large industrial systems. Current research directions include extending control methodologies to more general Petri net structures and developing closed-form solutions for controller synthesis in infinitely large systems.

Gen-Huey ChenView profile

Professor

• Graph Theory
• Combinatorial Optimization
• Algorithm Analysis and Design
• +1 more

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 ChenView profile

Professor

• Design and Analysis of Algorithms
• Multimedia Systems
• Quantum Algorithms
• +7 more

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 ChaoView profile

Professor

• Algorithms
• Bioinformatics
• Computational Molecular Biology
• +3 more

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 LiView profile

Associate Professor

• Machine Learning
• Optimization
• High-dimensional Statistics
• +6 more

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.

Shih-wei LiaoView profile

Associate Professor

• Blockchain
• Fintech
• Big Data
• +6 more

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.

Yuh-Dauh LyuuView profile

Professor

• Parallel Computing
• Financial Computing
• Computing Theory
• +12 more

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.

• Computer Mathematics and Algorithms
• Image Processing and Computer Vision
• Image and Video Compression and Applications

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.

• Financial Engineering
• Risk Management
• Quantitative Finance
• +9 more

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