TW Kuo is a part-time Professor at the Department of Information Engineering and the Institute of Information Network and Multimedia at National Taiwan University. His research expertise spans embedded systems, real-time systems, neural computing, flash memory systems, operating systems, and storage systems. Research Interests Embedded systems Real-time systems Neural computing Flash memory systems Operating systems Storage systems
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.
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.
Chih-Duo Hong is an Assistant Professor at the Department of Management Information Systems , College of Business , National Chengchi University , holding this position since February 2023. He earned his Ph.D. in Computer Science from University of Oxford (2017-2022). Research Focus : Formal methods, automated reasoning, neural network testing, and software security Grants : Principal Investigator for multiple National Science and Technology Council projects on data transformation systems (2023-2026) His work spans parameterized verification , probabilistic systems , and neural network fairness , with publications in journals like IEEE Transactions on Software Engineering and ACM TOPLAS. He contributes to concolic testing , array systems abstraction , and constraint-based software optimization . Recent Topics : Formal verification of anonymity/uniformity in probabilistic systems Individual fairness testing for neural networks Regular abstractions for array constraints Collaborations include institutions like University of Oxford, National Chengchi University, and research partners Anthony Lin, Philipp Rümmer, Fang Yu.
Professor Cai Ruihuang is a distinguished faculty member in the Department of Information Management at National Chengchi University's College of Business. With over 30 years of academic service, he currently serves as Director of the Computer Center and has held various administrative positions including Deputy Director of Research and Development and Director of the Innovation Incubation Center. His extensive academic career spans teaching and research in information systems, neural networks, and digital innovation. PhD in Industrial Engineering and Operations Research, University of California, Berkeley MS in Industrial Engineering, University of California, Berkeley BS in Nuclear Engineering, National Tsing Hua University Professor Cai's research focuses on technological services, service innovation, digital humanities, neural network systems, and enterprise process analysis. His work bridges traditional business domains with cutting-edge technology applications, particularly in cultural institutions like the National Palace Museum. His research demonstrates a consistent trajectory from foundational neural network theory to practical applications in financial analytics, museum technology, and digital transformation. His extensive publication record shows a progression from theoretical neural network research in the 1990s to applied AI and digital innovation studies in recent years. Notably, he has pioneered applications of AI in cultural heritage institutions and developed innovative approaches to financial fraud detection using neural networks. His work spans computer science, business management, and digital humanities, reflecting an interdisciplinary approach to information systems research. 資深優良教師(30年) - Senior Excellent Teacher Award 特聘教授 - Distinguished Professor 國科會獎勵特殊優秀人才 - MOST Special Outstanding Talent Award 學術研究成果國際化優等研究獎 - International Academic Research Excellence Award 教學特優教師 - Outstanding Teaching Award Professor Cai has successfully led numerous research projects totaling millions in funding from both government agencies like MOST and private sector partners including CTBC Financial Holding and National Palace Museum. His current research focuses on AI applications in finance, digital transformation of cultural institutions, and cybersecurity education initiatives. He leads the Financial AI Cloud Ecosystem research project and serves as principal investigator for multiple cybersecurity training programs funded by Taiwan's Ministry of Education. His work connects academic research with practical applications through the Financial AI Cloud Research Center and various industry collaboration initiatives. Professor Cai's research group actively engages with cultural institutions, financial organizations, and technology companies to develop innovative solutions for real-world challenges in digital transformation.
