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.
Professor Raylin Tso is a distinguished faculty member at National Chengchi University (NCCU), serving as a Professor in the Department of Computer Science within the College of Informatics. He also holds significant administrative positions including Vice Dean of the College of Informatics and Director of the Information Security Center. With extensive research experience spanning over two decades, Professor Tso has established himself as a leading expert in cryptography and information security. Professor, Department of Computer Science, NCCU (2020-present) Vice Dean, College of Informatics, NCCU (2024-2026) Director, Information Security Center, NCCU (2023-present) Director, Master Program in Information Security, NCCU (2023-present) Professor Tso earned his PhD in Systems and Information Engineering from the University of Tsukuba, Japan (2004-2006), following two master's degrees from the same institution in Systems Engineering (2002-2004) and Business Administration (2000-2002). He completed his undergraduate studies in Industrial Engineering at National Tsing Hua University, Taiwan (1991-1995). Professor Tso's research focuses on advanced cryptographic systems with particular emphasis on post-quantum cryptography, blockchain security, and privacy-preserving technologies. His work spans theoretical foundations of cryptographic protocols to practical implementations in real-world systems. Recent research has increasingly concentrated on quantum-resistant cryptographic schemes, secure multi-party computation, and applications of cryptography in emerging technologies like IoT and smart contracts. His research group actively explores the intersection of traditional cryptographic techniques with modern computing paradigms, addressing security challenges in cloud computing, distributed systems, and digital identity management. Analysis of Professor Tso's recent publications reveals a strong trajectory toward post-quantum cryptography and privacy-enhancing technologies. His work demonstrates increasing sophistication in addressing quantum computing threats to traditional cryptographic systems while maintaining practical efficiency. A significant portion of his recent research focuses on identity-based encryption systems, searchable encryption techniques, and secure protocols for distributed environments. The interdisciplinary nature of his work is evident in applications spanning financial technology, healthcare data security, and vehicular networks. Distinguished Professor, National Chengchi University (2022, 2024) MOST Research Award (2020-2023) Best Journal Paper Award, Algorithms and Computational Theory Society (2017) Outstanding Researcher, Korea Information Processing Society Senior Excellent Teacher Award (10 years), National Chengchi University Professor Tso has successfully mentored numerous graduate students, including PhD candidate Zi-Yuan Liu who frequently appears as a co-author on recent publications. He has secured substantial research funding from Taiwan's National Science and Technology Council (NSTC), formerly known as MOST, with multiple ongoing projects focused on next-generation cryptography, blockchain security, and privacy-enhancing technologies. His current research portfolio includes several multi-year projects totaling millions in funding, with particular emphasis on post-quantum cryptography migration, secure digital identity systems, and quantum-resistant blockchain technologies. Professor Tso leads the Information Security Center at NCCU and is actively involved with multiple research laboratories including the Blockchain Payment Network Research Lab and the Quantum Security Research Group. His team collaborates extensively with industry partners including Chunghwa Telecom Research Institute and the Financial Information Corporation, bridging academic research with practical security applications. The research group maintains strong international collaborations with institutions in Japan, South Korea, and the United States, contributing to the global advancement of cryptographic research.
Professor Sieh-Chuen Huang is a full-time faculty member at the College of Law, National Taiwan University (NTU), where she currently serves as Vice Dean and Professor of Law. She has held progressive academic ranks at NTU since 2009, including Assistant Professor (2009-2014), Associate Professor (2014-2020), and Professor (2020-present). Her academic journey began at NTU with a Bachelor of Laws (2001), followed by advanced degrees from Hokkaido University, Japan, where she earned her Master of Laws (2004) and Doctor of Juridical Science (2006). Doctor of Juridical Science, Hokkaido University Master of Laws, Hokkaido University Bachelor of Laws, National Taiwan University Professor Huang's research focuses on family law, guardianship systems, trusts and estates, empirical legal studies, and legal analytics. Her work examines intergenerational property transfer in aged societies, utilizing both doctrinal and data-driven approaches to analyze judicial decision-making patterns in family law and guardianship contexts. Her recent scholarly output demonstrates a strong emphasis on applying artificial intelligence and machine learning techniques to legal analysis, particularly in areas like child custody determinations, drunk driving sentencing, and guardianship for persons with disabilities. This innovative approach bridges traditional legal scholarship with computational methods. NTU Academic Advancement Young Chair Professorship (2024-27) NTU Research Performance Award (2021-27) Tsai Wan-Tsai Chair Professorship (2022) Outstanding Teaching and Mentoring Awards (2020) Excellent Young Scholars, Ministry of Technology and Science (2019) As a leader in legal education, Professor Huang directs NTU's Digital Law Center and has held editorial and administrative roles. Her work combines traditional civil law scholarship with cutting-edge legal analytics applications, making significant contributions to both academic research and policy development in elder law and family law.
Jiing Yao Chang is an Adjunct Assistant Professor at the Department of Management Information Systems in the College of Communication at National Chengchi University, Taiwan. He has held this position since 2009, with additional part-time roles in the College of Communication since 2025. Research focuses on Windows Programming , IT Fundamentals , and Ethical Hacking Teaching areas include Data Structures , Business Data Communications , and Computer Science His 2016 publication explores the application of distributed artificial neural network frameworks for big data analysis, aligning with his expertise in computational methods and information systems. No specific awards or student advising records are detailed in the provided materials.
Chuen-Lung Chen is a Professor in the Department of Management Information Systems at National Chengchi University's College of Commerce in Taipei, Taiwan. He holds a Ph.D. in Industrial and Systems Engineering from Auburn University in the United States, with additional graduate and undergraduate degrees from Tamkang University and Chung Yuan Christian University in Taiwan. His research focuses on Applied Operations Research, Production and Operations Management, and Scheduling Theory and Applications . Professor Chen has developed numerous optimization algorithms and heuristics for solving complex scheduling problems in manufacturing and service industries, with applications extending to financial engineering and knowledge management systems. His work bridges theoretical operations research with practical business applications, particularly in production planning and resource allocation. Analysis of his recent publications reveals a consistent focus on flow shop scheduling problems, with increasing applications to financial modeling and knowledge integration systems. His research methodology combines traditional operations research techniques with evolutionary computation approaches like genetic algorithms and particle swarm optimization. Distinguished Professor award (2016-2017, 2015-2016, 2012-2013) Senior Excellent Teacher Award (10 years, 2010) Academic Research Excellence Award (2010) Multiple Internationalization Research Excellence Awards (2007-2008) Outstanding Service Teacher Award (2008) Outstanding Teaching Award (2002) MOST First-Class Research Award (1990) Professor Chen has secured substantial research funding through Taiwan's Ministry of Science and Technology (MOST), directing numerous projects on scheduling algorithms, financial modeling, and management information systems. He has held significant administrative roles including Department Chair (2011-2014), Deputy Dean of the College of Commerce (2008-2016), and Director of the International MBA Program (2011-2016). His leadership extends to directing international programs and contributing to university-wide initiatives for English-taught degree programs. His work demonstrates a sustained contribution to both theoretical advancements in operations research and practical applications in manufacturing and financial systems, with a research trajectory showing increasing interdisciplinary connections between operations management and information systems.
CF Chou is a Professor in the Department of Information Engineering at National Taiwan University and an Academician of Academia Sinica. His research is affiliated with the Communications and Multimedia Laboratory, where he explores distributed machine learning systems, smart healthcare, multimedia systems, wireless sensor networks, and performance analysis theory. Office hours for consultations can be arranged via email at ccf@csie.ntu.edu.tw , and further details about his work are available on his personal website . Research Interests: His work focuses on advancing distributed machine learning systems for scalable data processing, integrating smart healthcare technologies for medical innovation, optimizing multimedia systems for efficient content delivery, developing wireless sensor networks for IoT applications, and applying performance analysis theory to enhance system efficiency. These areas reflect a multidisciplinary approach bridging computer science, engineering, and healthcare. Laboratory Affiliation: Communications and Multimedia Laboratory
Shih-Hao Hung is a Full Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served since 2005. He established the Performance, Applications and Security Lab (PAS Lab) and previously served as Section Director in the Computer and Information Network Center of NTU from 2012 to 2016. Before joining NTU, he worked for 5 years at Sun Microsystems in the San Francisco Bay Area. Professor Hung's research focuses on computer architecture, parallel processing, performance evaluation, and optimization. His work spans embedded systems, mobile applications, cloud computing, business applications, and information security. Current research interests include heterogeneous and multicore system architecture, active utilization of open source system software, and high performance deep learning systems. He has published numerous papers on GPU acceleration, heterogeneous computing, malware detection, and system performance optimization. His research has resulted in several notable publications and two Best Paper Awards (RACS 2014 and RACS 2017). Professor Hung maintains strong industry collaborations with leading technology companies including IBM, Intel, AMD, NVIDIA, ARM, MediaTek, and Foxconn, focusing on practical applications of advanced computing technologies. Best Paper Award at RACS 2017 for Program Analysis research Best Paper Award at RACS 2014 for Android malware detection framework Extensive publications in performance evaluation and optimization Significant industry collaborations across multiple technology sectors Professor Hung is known for his practical approach to computer science education and research, emphasizing the importance of bridging academic knowledge with real-world applications. His blog frequently discusses issues in computer science education, system architecture, and the development of skilled professionals in Taiwan's technology sector.
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.
Dr. Fang Yu is an Associate Professor at the Department of Management Information Systems, National Chengchi University, specializing in software security, formal verification, and string analysis. They hold a Ph.D. in Computer Science from the University of California, Santa Barbara. Research Expertise: Dr. Yu focuses on cybersecurity, formal methods for software verification, and machine learning applications in data clustering and adversarial example detection. Their work bridges theoretical computer science with practical security solutions. Publication Trends: Recent articles address biomedical data clustering ( scGHSOM ), explainable AI ( XFlag ), and adversarial defense mechanisms. Topics span bioinformatics, security verification, and fairness testing in neural networks. Awards: 資深優良教師(10年) (2020, National Chengchi University) 國科會研究獎勵 (2019, National Science Council, Taiwan) Projects: Principal Investigator for 15+ grants from Taiwan's National Science and Technology Council and Ministry of Education, focusing on AI security, IoT verification, and financial technology.
