جست‌وجوی استاد و پژوهشگر

Shang-Tse Chenمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Cybersecurity
• +۵ مورد دیگر

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 Wangمشاهده پروفایل

استاد

• Experimental Economics
• Neuroeconomics
• Game Theory
• +۳ مورد دیگر

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.

• Software security
• Formal verification
• String analysis
• +۳ مورد دیگر

Dr. Yu Fang is an Associate Professor in the Department of Information Management at National Chengchi University's College of Business in Taipei, Taiwan. With a strong academic foundation from National Taiwan University (BS and MS) and a PhD in Computer Science from the University of California, Santa Barbara, Dr. Fang has established herself as a prominent researcher in software security and formal methods, with recent expansion into AI security domains. PhD in Computer Science, University of California, Santa Barbara (2005-2010) MS in Information Management, National Taiwan University (1998-2000) BS in Information Management, National Taiwan University (1994-1998) Dr. Fang's research spans software security, formal verification, and string analysis, with significant contributions to vulnerability detection in web applications, static analysis of mobile applications, and more recently, security and testing of neural networks. Her work bridges theoretical formal methods with practical security applications, particularly in the context of modern software systems and AI technologies. The evolution of her research shows a clear trajectory from traditional software security toward addressing emerging challenges in AI security, including adversarial examples, deepfake detection, and fairness verification in machine learning models. Analysis of Dr. Fang's recent publications reveals a strategic expansion of her research focus. While maintaining her strong foundation in software security and formal methods, she has successfully transitioned into the rapidly evolving field of AI security. Her work now addresses critical challenges such as adversarial example detection using explainability methods (DeepSHAP), concolic testing for neural network fairness verification, and defenses against deepfake attacks. This represents a natural progression from her earlier work on string analysis and vulnerability detection in traditional software systems. Senior Excellent Teacher (10 years) award from National Chengchi University National Science Council (now Ministry of Science and Technology) Research Award Dr. Fang has secured substantial research funding, particularly from Taiwan's Ministry of Science and Technology, with current projects focusing on neural network automated testing and AI security. Her research group maintains active collaborations with both academic and industry partners, particularly in the financial technology sector where security and regulatory compliance are paramount. While specific lab affiliations aren't explicitly mentioned in the provided information, her research profile suggests strong connections to the Software Security Laboratory within the Department of Information Management.

• Econometrics
• International Finance
• Foreign Exchange Forecasting
• +۲ مورد دیگر

Biing-Shen Kuo is a Professor at the Department of International Business, College of Commerce, National Chengchi University (NCCU) in Taiwan. His research focuses on econometrics and international finance, with expertise in exchange rate forecasting, financial econometrics, and machine learning applications in economics. He has led numerous research projects funded by Taiwan's National Science and Technology Council, including studies on exchange rate predictability and econometric inference methods. Education: Ph.D. in Economics, University of Rochester (1989-1995) M.S. in Public Finance, National Chengchi University (1983-1985) B.S. in International Trade, National Chengchi University (1978-1983) Research Focus: Dr. Kuo's work bridges theoretical econometrics and empirical finance, with consistent themes in exchange rate dynamics, predictive modeling, and economic policy impacts. His recent publications integrate machine learning with traditional econometric approaches, particularly for financial forecasting and market analysis. Honors and Awards: Special Appointment Professor, NCCU (multiple years) Teaching Excellence Awards (2011, 2015, 2016, 2019, 2020, 2021) National Science Council Award for Outstanding Research Talent Academia Sinica Young Scholar Research Award (1999) 20-Year Senior Excellent Teacher Award Professional Service: Served as Department Chair (2008-2014) and Vice Dean of the College of Commerce (2005-2008). Editorial board member for multiple economics journals including Economic Papers and Management Review .

Wen-Chin Chenمشاهده پروفایل

استاد

• Design and Analysis of Algorithms
• Multimedia Systems
• Quantum Algorithms
• +۷ مورد دیگر

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 .

MS Leeمشاهده پروفایل

دانشیار

• Multimedia image processing
• Digital image integration
• Image compression
• +۱ مورد دیگر

MS Lee serves as an Associate Professor in the Department of Information Engineering at National Taiwan University, with dual affiliation to the Institute of Information Network and Multimedia. Current responsibilities include leading research initiatives in image and signal processing technologies. Research interests focus on: Multimedia image processing algorithms Digital image integration techniques Advanced image compression methodologies Signal processing applications Dr. Lee directs the Imaging and Vision Laboratory, which develops innovative solutions in computer vision and multimedia systems. The lab maintains active development of image analysis frameworks with practical implementations in digital media processing. Office hours are held Thursdays 11:00-12:00 in room R520 with department extension 520.

Shih-wei Liaoمشاهده پروفایل

دانشیار

• Blockchain
• Fintech
• Big Data
• +۶ مورد دیگر

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.

JL Wuمشاهده پروفایل

استاد

• Digital Signal Processing
• Error Correction Codes
• Data Compression
• +۲ مورد دیگر

JL Wu serves as Professor in the Department of Information Engineering and Institute of Information Network and Multimedia at National Taiwan University. His primary academic appointment is full-time faculty status with active research engagement through the Communications and Multimedia Laboratory. Institutional affiliations demonstrate dual departmental connections within the university's engineering framework. Research Interests: Professor Wu's expertise centers on digital signal processing, error correction codes, data compression, and multimedia systems. His work integrates theoretical signal analysis with practical communication applications, emphasizing robust data transmission and efficient multimedia representation. Key contributions span error-resilient coding techniques and compression algorithms for modern communication systems, with consistent focus on real-world implementation challenges in multimedia environments. Scientific Awards: No specific awards, fellowships, or honors were documented in the provided source material. Advising and Funding: While student supervision details remain unspecified, Professor Wu maintains active laboratory operations requiring sustained research funding. The Communications and Multimedia Laboratory infrastructure suggests ongoing project support, though specific grant mechanisms and student capacity aren't detailed in available information. Prospective researchers should contact directly regarding current opportunities. Laboratory Operations: The Communications and Multimedia Laboratory serves as Professor Wu's primary research hub, maintaining dedicated computational resources for signal processing experiments. The laboratory website provides technical documentation and research updates, reflecting active engagement in multimedia systems development. Current projects appear focused on advancing error correction methodologies and optimizing data compression techniques for emerging communication platforms.

Hans Hanpu Tungمشاهده پروفایل

استاد

• International Political Economy
• Comparative Politics
• Authoritarian Regimes
• +۴ مورد دیگر

Hans Hanpu Tung is a University Excelsior Chair Professor of Political Science at National Taiwan University (NTU) , serving as Associate Dean for Research & Development in the College of Social Sciences and Interim Associate Dean at the School of Political Science and Economics. He holds a joint appointment as a Professor at the Taipei School of Economics and Political Science, National Tsing Hua University. Additionally, he is a Non-Resident Research Fellow at Keio University’s V-Dem Regional Center for East Asia and serves on the Executive Committee of Taiwan’s National Science and Technology Council Research Institute for the Humanities and Social Sciences. Tung’s research focuses on formal and empirical analyses of political-economic dynamics under authoritarian regimes, including institutional development, political decision-making, and China’s global influence. Notably, his article Power Sharing and Media Freedom in Dictatorships won the 2022 Kaid-Sanders Best Political Communication Article Award . In 2025, he ranked 7th in Asia and top 3% globally in research impact. Key affiliations include editorial roles at Humanities & Social Sciences Communications and the Cambridge University Press Taiwan Studies series. He earned his Ph.D. in Political Science from Harvard University. His work spans Political Communication, Review of International Organizations, Nature Communications , and others, addressing authoritarian governance, pandemic policies, and China’s rise. Recent grants and projects include the Pandemic Backsliding: Democracy during COVID-19 dataset and collaborations on China’s elite politics. He advises on public health and governance, with a focus on Taiwan’s response to global challenges.

Jenq-Tay YUANمشاهده پروفایل

استاد

• Electrical Engineering
• Signal Processing
• Communications Systems
• +۳ مورد دیگر

Dr. Jenq-Tay YUAN serves as Vice President for Academic Affairs at Fu Jen Catholic University, holding a Professorship in the Department of Electrical Engineering. He currently leads as Dean of The College of Science and Engineering and previously chaired the Department of Electronic Engineering. His academic journey includes a Ph.D. from Missouri University of Science and Technology and a B.S. from Fu Jen Catholic University. His research interests span core areas of electrical engineering with emphasis on applied technologies in electronic systems. Education highlights include: Ph.D., Electrical Engineering, Missouri University of Science and Technology (20xx) B.S., Electronic Engineering, Fu Jen Catholic University (20xx) No specific scientific awards, publications, or grant details are disclosed in the provided text. His administrative roles suggest leadership in academic governance and institutional strategy.