جست‌وجوی استاد و پژوهشگر

Yuh-Dauh Lyuuمشاهده پروفایل

استاد

• Parallel Computing
• Financial Computing
• Computing Theory
• +۱۲ مورد دیگر

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.

Shan-Yuan Tengمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Haptic Feedback
• Wearable Devices
• +۵ مورد دیگر

Shan-Yuan Teng is an Assistant Professor at National Taiwan University's Department of Computer Science and Information Engineering and a Yushan Young Fellow awarded by Taiwan's Ministry of Science and Technology. He leads the Dexterous Interaction Lab (DexLab), a newly established research group focused on advancing human dexterity through novel interactive technologies. Professor Teng's research explores the future of Human-Computer Interaction through three core themes: designing systems that enhance physical task performance (repair, craft, cooking), enabling multisensory experiences in daily mobile contexts, and creating accessible tools for people with disabilities. His lab develops hardware-software systems that move beyond simple vibration to deliver rich haptic feedback via wearables and AR interfaces. Recent publications demonstrate this vision through innovations like fingernail devices for AR button sensations (CHI 2021), exoskeletons combining electrical stimulation with mechanical braking for hand pose guidance (UIST 2021), and sensory substitution devices translating vision to tactile feedback for blind users (CHI 2025). Professor Teng has received the prestigious Yushan Young Fellowship, recognizing his potential as an early-career researcher. His work bridges computer science, electrical engineering, and human studies to create practical dexterity-enhancing technologies. The Dexterous Interaction Lab actively recruits students for interdisciplinary research, emphasizing hands-on prototyping skills. The lab maintains a fully equipped workspace documented through their 'lab hacks' series, featuring custom 3D-printed solutions for fume extraction, cabinet mounting, and cable management. Professor Teng teaches CSIE5647: Making and Inventing Interactive Devices, launching in Fall 2025.

Chia-Lin Yangمشاهده پروفایل

استاد

• Low-power embedded systems
• High-performance processor architecture
• Massive data storage systems
• +۶ مورد دیگر

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.

Zhan Jinfaمشاهده پروفایل

استاد

• Software engineering
• geographic information systems
• remote sensing
• +۳ مورد دیگر

Zhan Jinfa serves as Professor in the Department of Land Administration at National Chengchi University's School of Social Sciences, with prior service as Associate Professor since 2005. His administrative roles include Deputy General Manager of General Affairs Office (2018-2020) and leadership positions in Digital Learning and Digital Humanities initiatives. His academic credentials feature: Bachelor of Forestry from National Taiwan University Master of Computer Science from New Jersey Institute of Technology PhD in Forest Science from University of Colorado Dr. Zhan's research integrates computational methods with environmental management, specializing in geospatial technologies for land administration. His expertise bridges software engineering with natural resource systems, emphasizing practical applications of GIS and remote sensing in sustainable resource governance. His institutional recognition includes: Senior and excellent teachers award (2019, 2009) Excellent Research Award for Internationalization of Academic Research Results (2007, 2005) While his administrative contributions are substantial, available information does not detail graduate student mentorship or external research funding activities.

• IT Strategy
• IT Management
• Supply Chain Management
• +۳ مورد دیگر

Hsin-Lu Chang is a Professor at the Department of Management Information Systems , National Chengchi University (NCCU), with a career spanning over two decades in academia. He holds a Ph.D. in Business Administration from the University of Illinois, Urbana-Champaign, and has held multiple part-time administrative roles, including Department Chair (2025-2026) and Director of the Office of Innovation and Entrepreneurship (since 2023). His research focuses on IT strategy, supply chain management, service science, and digital innovation . Education Ph.D., Business Administration, University of Illinois, Urbana-Champaign (1998-2003) M.S., Information Management, University of Maryland (1996-1997) B.S., Information Management, National Chengchi University (1991-1995) Chang’s research explores IT-business alignment, digital transformation, and value creation in service systems , with significant contributions to e-commerce, mobile health apps, and AI governance. His 15 most recent articles reveal trends in crisis informatics, explainable AI (XAI), and data-driven healthcare , alongside studies on tourism marketing and SaaS innovation. He has received numerous honors, including the Senior Research Fulbright Grant (2011) , multiple National Science Council Research Awards , and Digital Learning Excellence Awards from NCCU. His funded projects (2003-2026) span topics like telehealth adoption, virtual reality museum exhibitions, and ESG data governance , with recent work focusing on AI resilience and multi-agent service systems. Chang has led teams at NCCU’s research labs and contributed to industry partnerships with institutions like First Commercial Bank and the National Palace Museum. His career bridges theoretical development and practical implementation of IT-enabled service systems, emphasizing economic impacts and stakeholder engagement.

• Software Security
• Formal Verification
• String Analysis
• +۵ مورد دیگر

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.

• Formal Methods in Software Engineering
• Programming Languages
• Neural Network Testing
• +۶ مورد دیگر

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.

• Computer Science
• Information Engineering
• Network Systems
• +۴ مورد دیگر

Tsai Ying-chen is a Professor in the Department of Information Engineering at the College of Engineering, National Taiwan University. Their administrative responsibilities include graduate scholarship applications, teaching assistantship arrangements, selection of outstanding teaching assistants, space management for classrooms and conference rooms, project management for faculty in the Department of Internet Media, alumni relations, and journal/conference evaluation initiatives. Research interests span Computer Science and Information Engineering , with practical applications in network systems, software engineering, and data communications. Key duties involve coordinating teaching/research unit evaluations, managing project financials, and organizing the NTU Department of Information Science Alumni Association.

• Computer Science
• Information Engineering
• Data Management
• +۳ مورد دیگر

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.

Sun Jialinمشاهده پروفایل

استاد

• Educational Technology
• Human-Computer Interaction
• Mental Health Informatics
• +۳ مورد دیگر

Sun Jialin is a full-time faculty member at the Department of Information Engineering under the College of Engineering at National Taiwan University. His responsibilities include providing individual student psychological counseling, faculty counseling consultations, and mental health promotion initiatives. Research interests intersect information engineering with educational and mental health domains, particularly focusing on technology-driven solutions for academic and psychological support systems. Contact: sunchialin@csie.ntu.edu.tw

• Blockchain and smart contracts
• Open API technology and security
• Social big data analysis
• +۳ مورد دیگر

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.