جستجوی استاد راهنمای دانشگاهی

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.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Lung-Pan Cheng is an Associate Professor in the Department of Computer Science and Information Engineering at National Taiwan University, where he leads the Human-Computer Interaction Laboratory. His research focuses on bridging the gap between physical and virtual realities through innovative interface technologies. Cheng's research expertise spans human-computer interaction, augmented/virtual reality, and tactile feedback systems. His work explores how people exist across three types of reality: physical reality governed by physics, imagined realities where things act by wishes, and programmable virtual realities. By examining the mismatches between these realities, Cheng develops novel interfaces, techniques, and devices that extend and interface these realities toward an ultimate unified experience. His recent publications reveal strong trends in haptic feedback systems, procedural generation in VR, and tangible interaction techniques. Cheng's work often involves creating physical props and mechanisms that enhance virtual experiences, with a particular focus on how humans can interact with and manipulate virtual objects through physical interfaces. His research has significant implications for VR training, gaming, and therapeutic applications. Best Paper Award at CHI 2022 for AirRacket: Perceptual Design of Ungrounded, Directional Force Feedback to Improve Virtual Racket Sports Experiences SIC People's Choice Award at UIST 2022 for Garnish into Thin Air Cheng has secured numerous research grants supporting his work in VR and haptic interfaces, with collaborations spanning multiple institutions. His laboratory develops working prototypes that demonstrate practical applications of his theoretical concepts, often resulting in award-winning publications at top HCI conferences. Current projects appear to focus on advanced fabrication techniques for interactive objects, perceptual illusions in VR, and novel haptic feedback mechanisms that don't require traditional grounded hardware. The Human-Computer Interaction Laboratory under Cheng's direction consists of graduate students and researchers working on various aspects of tangible and virtual interfaces. The team frequently publishes in premier venues like CHI, UIST, and IEEE VR, demonstrating consistent productivity and impact in the field. Current research directions include density-varying soft fabrication, polarized light mosaics, and systems for creating infinite virtual spaces within limited physical environments.

• Consumer Behavior
• Consumer Psychology
• Brand Management
• +۴ مورد دیگر

Lien-Ti Bei is a Distinguished Professor in the Department of Business Administration at National Chengchi University's College of Commerce in Taipei, Taiwan. She also serves as Chairman of the Center for Public and Business Administration Education. With over 25 years of academic experience, Professor Bei has established herself as a leading scholar in consumer behavior and marketing research in Taiwan and Asia. Her research interests span Consumer Behavior, Consumer Psychology, Brand Management, and Marketing Research, with recent work focusing on ESG implementation, consumer neuroscience applications in marketing, and sustainable business practices. Professor Bei's work bridges theoretical marketing concepts with practical business applications, particularly in the Asian context. Her publication record shows consistent productivity with over 50 journal articles in SSCI/TSSCI-indexed journals since 1995, including recent publications in Journal of Engineering and Technology Management, Journal of Product & Brand Management, and Harvard Business Review Chinese Edition. Her research demonstrates an evolution from traditional brand extension and consumer behavior topics toward contemporary issues like ESG, AI-human interaction, and sustainable marketing practices. Distinguished Professor at National Chengchi University (multiple years) Asia's Top 100 Marketing Scholars (2017) Chungni Outstanding Teaching Award Multiple Research Awards from Taiwan's National Science and Technology Council Management Journal Paper Award Professor Bei has successfully secured numerous research grants, primarily from Taiwan's National Science and Technology Council, with current projects extending through 2026. Her active role as Principal Investigator on multiple grants demonstrates ongoing research productivity. She serves as Editor for Management Review and has contributed to special issues on sustainable development and consumer behavior trends.

• User Experience
• Human-Robot Interaction
• Robotics
• +۶ مورد دیگر

Shih-Yi Chien is an Associate Professor in the Department of Management Information Systems at National Chengchi University, Taipei, Taiwan. His research focuses on User Experience , Human-Robot Interaction , and Robotics , with applications in Information Behavior and Machine Learning . Education: Ph.D. in Information Sciences from University of Pittsburgh (2009–2017). Professional Experience: Assistant Professor (2018–2023), then Associate Professor (2023–present) at NCCU. His research spans Explainable AI (XAI), Dementia Prediction , Fake News Detection , and Human-Automation Trust . Recent work includes cross-cultural studies on AI perception and neuromarketing applications in e-commerce robotics. Publications appear in Information Systems Frontiers , IEEE Transactions on Human-Machine Systems , and ACM/IEEE International Conference on Human-Robot Interaction . Notable scientific awards include: 2024 Yushiu Creative Award (Silver) 2023 National Somatic Interactive Technology First Prize 2022 Fubon Life Insurance Thesis Excellence Award Multiple INFORMS/IEEE/HICSS conference recognitions He has led research grants from Taiwan's National Science and Technology Council (MOST) on topics like human-multirobot cognitive processes and AI-driven high-age dementia care . Collaborative labs include the Ambient e-Services Laboratory and Digital Innovation & Management Research Lab at NCCU, focusing on smart contracts , human-robot collaboration , and digital sustainability .

Robert Hsuمشاهده پروفایل

استاد

• Parallel and Distributed Computing
• Cloud Computing
• Big Data Analytics
• +۴ مورد دیگر

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.

YI LING LINمشاهده پروفایل

دانشیار

• Recommender Systems
• Human-Computer Interaction
• Micro-moment Recommendation
• +۶ مورد دیگر

Dr. YI LING LIN is an Associate Professor in the Department of Management Information Systems at National Chengchi University, where she has been serving since 2017 (promoted to Associate Professor in 2019). Her research focuses on recommender systems, human-computer interaction, and information systems, with particular expertise in micro-moment recommendation, crowdsourcing, and programming education. Dr. LIN earned her Ph.D. in Information Management from the University of Pittsburgh (2007-2013). Prior to joining National Chengchi University, she served as an Assistant Professor at National Sun Yat-sen University (2014-2017). Her research centers on recommender systems, particularly micro-moment recommendation systems that respond to users' immediate needs. She investigates human-computer interaction, programming education technologies, and e-commerce applications, often combining theoretical frameworks with empirical studies to understand user behavior and improve system design. Her work spans multiple domains including healthcare Q&A forums, programming education, and financial applications. Dr. LIN's publication record demonstrates consistent contributions to top journals and conferences in information systems and human-computer interaction. Her recent work focuses on competitive gamification in recommendation systems, the influence of social relationships and emotions on micro-moment recommendations, and AI-assisted programming education. She has developed frameworks for personalized interaction mechanisms and explored applications in e-commerce, insurance, and streaming retailing. 資深優良教師(10年) (Long-service Excellent Teacher) Multiple teaching excellence awards from National Chengchi University National Science and Technology Council Research Awards 2022 National College Smart Innovation Competition (E-commerce and Financial Technology) 2021 National College Information Application Service Innovation Competition Taiwan Service Science Society Academic Research Award Dr. LIN has been Principal Investigator for numerous research projects, primarily funded by the National Science and Technology Council (MOST). Her current projects focus on micro-moment recommendation systems, digital insurance experiences, and e-commerce optimization. She has led educational innovation projects for programming instruction and maintains strong industry connections through various collaborative projects with financial institutions and technology companies. Dr. LIN is affiliated with the Department of Management Information Systems at National Chengchi University, which houses several research labs including the E-Business Lab, Ambient e-Services Laboratory, and Lab for Electronic Commerce and Service Science. Her research aligns particularly with the E-Business Lab and Lab for Electronic Commerce and Service Science.

• Enterprise model innovation
• Enterprise system management
• Enterprise process management
• +۳ مورد دیگر

Professor Shang Xiaochun is a distinguished faculty member of the Department of Information Management at the College of Business, National Chengchi University in Taipei, Taiwan. With extensive experience in academic leadership, she has served as Department Chair, Deputy Dean of the College of Business, and Director of the International Business Master's Program (English). Her career spans both academic and professional realms, with prior experience at major consulting firms including IBM, KPMG, and BNF Consulting. Professor Shang earned her PhD in Information Systems from the University of Melbourne, Australia (1997-2002) and a Master's degree in Computer Technology from the New York Institute of Technology, USA (1983-1984). Her educational background reflects a strong foundation in both technical and business disciplines, which informs her interdisciplinary research approach. Professor Shang's research focuses on enterprise model innovation, enterprise system management, enterprise process management, and change management. Her work bridges the gap between technical information systems and business management, with particular emphasis on how organizations can leverage technology for competitive advantage. She has made significant contributions to understanding how businesses can innovate through information systems, manage organizational change during technology implementation, and optimize business processes in the digital age. Her extensive publication record demonstrates consistent scholarly output across multiple high-impact journals. Her research trajectory shows a progression from foundational work on enterprise systems implementation in the early 2000s to more recent investigations into mobile payment innovation, autonomous vehicle technologies, and social media applications. The breadth of her work spans traditional business process management, customer relationship management, and cutting-edge digital innovation areas. Professor Shang has secured research funding from both the Ministry of Science and Technology and other non-governmental organizations, including projects such as the '2019 International Symposium on Smart Enterprise Information Application Development' and 'Service Innovation E-Newsletter.' These projects reflect her commitment to bridging academic research with practical business applications. Within the academic community, Professor Shang has made significant contributions through her leadership roles and collaborative research. She has served as principal investigator on multiple research projects and has mentored numerous students through their academic journeys. Her work continues to influence both academic discourse and practical business applications in information systems management.

Frank Hungمشاهده پروفایل

استاد

• Information Systems
• Management Information Systems
• Digital Transformation
• +۷ مورد دیگر

Frank Hung is a Professor in the Department of Management Information Systems at National Chengchi University's College of Business. He has held various academic positions including Department Chair (2020-2022) and has been actively involved in research, teaching, and academic service. His work bridges theoretical research with practical applications in information systems and digital transformation. Dr. Hung received his Master's and PhD in Management Systems from the University of Waikato in New Zealand (2001-2006). His academic journey includes positions at National Chengchi University, National Chung Cheng University, and visiting appointments at DePaul University. Dr. Hung's research focuses on the intersection of information systems and business management, with particular emphasis on digital transformation, technology adoption, and human-computer interaction. His work spans multiple domains including e-commerce, social media, mobile applications, and supply chain management. His research methodology often combines quantitative and qualitative approaches to address complex business problems in the digital age. Analysis of Dr. Hung's recent publications reveals a strong trend toward applied research addressing contemporary challenges. His work increasingly focuses on AI applications, pandemic response systems, and digital transformation across various industries. The interdisciplinary nature of his research demonstrates how information systems can create value across healthcare, tourism, manufacturing, and financial services sectors. Senior Excellent Teacher Award (10 years) from National Chengchi University Management College Research Excellence Award from National Chung Cheng University Ministry of Labor First Youth Social Enterprise and Social Innovation Award Runner-up Dr. Hung has secured numerous research grants from Taiwan's National Science and Technology Council and other funding agencies, demonstrating his ability to translate theoretical research into practical solutions. His projects often involve collaboration with industry partners, reflecting his commitment to bridging the academic-practitioner divide. As an academic leader, he has advised numerous graduate students and contributed to curriculum development in information systems education. Dr. Hung is actively involved with several research laboratories at National Chengchi University, including the E-Business Lab and the Emerging Technologies and Applications Lab. His work contributes to the university's research ecosystem focused on digital innovation and management.

• 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.

• Ubiquitous Computing
• Pervasive Computing
• Wearable Computing
• +۲ مورد دیگر

Hao Chu is an Adjunct Professor at the Graduate Institute of Networking and Multimedia , Department of Computer Science and Information Engineering, National Taiwan University . He earned his B.S. from Cornell University and Ph.D. from University of Illinois at Urbana-Champaign under Prof. Klara Nahrstedt. His research focuses on ubiquitous and pervasive computing , wearable systems , sensor networks , and human-computer interaction . Key themes include persuasive computing for behavioral intervention, positional accuracy optimization in radio interferometry, and context-aware homecare technologies. Professional services include serving as General Co-Chair for ACM MobiSys 2013, Program Committee member for ACM UbiComp (2015-2006), and workshop organization roles at IEEE PerCom, IAT, and others. He has presented papers at UbiComp 2007, CHI 2008, and LOCA 2007 conferences. Contact: Department of Computer Science and Information Engineering, National Taiwan University, #1 Roosevelt Road, Section 4, Taipei, Taiwan 106, ROC

• Blockchain Technology
• Financial Technology (FinTech)
• Cybersecurity
• +۷ مورد دیگر

Professor Kung Chen serves as a Professor in the Department of Management Information Systems at National Chengchi University (NCCU) in Taipei, Taiwan. With over two decades of academic experience, he has established himself as a leading researcher in blockchain technology, financial technology, and cybersecurity. His work bridges theoretical computer science with practical business applications, particularly in the financial sector. Ph.D. in Computer Science, Yale University (1989-1994) M.S. in Computer Science, National Taiwan University (1985-1987) B.S. in Computer Science, National Taiwan University (1981-1985) Professor Chen's research primarily focuses on blockchain applications, cybersecurity solutions, and data privacy technologies. His work explores practical implementations of blockchain in financial systems, secure data management frameworks, and privacy-preserving protocols. He has made significant contributions to smart contract development, consensus algorithms, and blockchain integration with IoT systems. His research demonstrates strong interdisciplinary collaboration across computer science, business, and policy domains. Analysis of Professor Chen's recent publications reveals a strong focus on blockchain technology (45%), cybersecurity (25%), and IoT systems (15%). His work shows a clear evolution from foundational research in aspect-oriented programming toward applied financial technology solutions. The interdisciplinary nature of his publications spans computer science, medical informatics, and public policy domains, reflecting his ability to connect technical innovations with real-world applications. Senior Excellent Teacher Award (20 years service) Senior Excellent Teacher Award (10 years service) Distinguished Professor at National Chengchi University Special Outstanding Talent Award from National Science Council Excellent Research Award for Internationalization (multiple years) Type A Research Award from National Science Council Professor Chen has secured substantial research funding as Principal Investigator for numerous projects totaling millions of dollars, primarily from Taiwan's National Science and Technology Council and industry partnerships. His grants focus on blockchain applications in finance, cybersecurity solutions, and academic network infrastructure. He has led major initiatives including the Financial Technology Innovation Operations Research Center and various blockchain laboratory development projects across multiple institutions. Professor Chen is affiliated with several research laboratories at NCCU, including the Lab of Intelligent Finances and Smart Contracts, Blockchain and Financial Technology Innovation Lab, and the E-Business Lab. His research teams typically include interdisciplinary members from computer science, business, and policy backgrounds, reflecting the applied nature of his work. He frequently collaborates with industry partners, particularly in the financial sector, to ensure practical relevance of his research findings.

• Digital Marketing
• Social Media Marketing
• Consumer-Brand Relationship
• +۴ مورد دیگر

Kuan-Ju Chen is an Associate Professor in the Department of Business Administration at National Chengchi University's College of Commerce. Previously serving as an Assistant Professor from 2019 to 2021, Dr. Chen has established herself as a prominent researcher in digital marketing and consumer-brand relationships. PhD in Mass Communication, University of Georgia, USA (2015) MA in Journalism and Mass Communication, Iowa State University, USA BA in English, National Changhua University of Education, Taiwan Dr. Chen's research focuses on the intersection of digital media and consumer behavior, with particular expertise in social media marketing, influencer marketing, and brand anthropomorphism. Her work examines how consumers form relationships with brands through digital channels, how psychological mechanisms influence engagement with branded content, and the evolving role of AI in marketing communications. Recent research has expanded into AI chatbots, exploring their effectiveness in service recovery scenarios and how their design elements impact consumer responses. Analysis of Dr. Chen's publication record reveals a clear trajectory from foundational work on social media and brand relationships toward cutting-edge research on AI applications in marketing. Her early work established frameworks for understanding influencer marketing and brand anthropomorphism, while her most recent publications tackle emerging challenges in AI-driven marketing communications, particularly regarding service failures and consumer perceptions of artificial personalities. Dr. Chen has been the Principal Investigator on multiple research projects funded by Taiwan's Ministry of Science and Technology (MOST), with continuous funding from 2015 through 2026. These projects demonstrate sustained research productivity and relevance to contemporary marketing challenges, particularly in digital and AI-driven contexts. Her work bridges theoretical understanding with practical applications for marketers navigating the rapidly evolving digital landscape.

• Information Management
• Electronic Commerce
• Knowledge Management
• +۲ مورد دیگر

Professor Heng-Li Yang is a distinguished faculty member in the Department of Management Information Systems at National Chengchi University's College of Business in Taiwan. With a PhD from the University of British Columbia, Canada, he has established himself as a leading researcher in information systems and management. His work spans multiple areas including electronic commerce, knowledge management, and service innovation. Professor at National Chengchi University since at least 2002 PhD in MIS from University of British Columbia, Canada Recipient of Stanford University's Global top 2% top scientists award for five consecutive years (2020-2024) Extensive publication record in top-tier information systems journals Professor Yang's research interests focus on information management, electronic commerce, knowledge management, service innovation, and information system development. His work demonstrates a consistent focus on understanding technology adoption behaviors, particularly in mobile and social contexts. He has made significant contributions to understanding how consumers interact with location-based services, social media applications, and smart home technologies. His research often employs sophisticated methodologies including fuzzy logic, multicriteria decision making, and sentiment analysis to address complex information systems challenges. His publication record shows a consistent trajectory of high-impact research, with numerous articles in SSCI and SCI-indexed journals. Recent work has particularly focused on location-based advertising, smart home adoption, and social media behavior. Professor Yang has successfully secured multiple research grants from Taiwan's Ministry of Science and Technology, demonstrating the significance and impact of his research agenda. Global top 2% top scientists (lifetime) - Stanford University (2020-2024) Multiple research grants from Taiwan's Ministry of Science and Technology Extensive publication record in top-tier journals Research cited internationally in information systems literature Professor Yang has been actively involved in numerous research projects, particularly those examining social media behavior, location-based services, and knowledge management. His work bridges theoretical frameworks with practical applications, making significant contributions to both academic literature and industry practice. As a principal investigator on multiple Ministry of Science and Technology projects, he has demonstrated leadership in advancing information systems research in Taiwan.

• E-Commerce
• M-Commerce
• Smart Living
• +۵ مورد دیگر

Eugenia Huang is a Professor at the Department of Management Information Systems, College of Business, National Chengchi University. She holds a Ph.D. in Electrical and Computer Engineering from Northeastern University (USA) and has been affiliated with NCCU since 1993. Her career spans over three decades in academia with a focus on digital commerce, knowledge systems, and human-technology interaction. Ph.D., Electrical and Computer Engineering, Northeastern University (1987-1991) M.S., Computer Information, University of Michigan M.S., Physics, Northwestern University B.S., Physics, National Tsing Hua University Dr. Huang's research revolves around E-Commerce and M-Commerce systems, Smart Living technologies, and Knowledge Management frameworks. Her work explores how digital platforms reengineer business processes and impact consumer behavior through innovative service design. Analysis of her 15 most recent publications shows sustained focus on mobile commerce (2015-2018), digital trust models (2017), and knowledge interaction mechanisms (2013). Key trends include virtual community dynamics, service quality measurement, and the psychological impacts of digital technologies. Best Paper Award, Southwest DSI (2005) Distinguished Paper Award, DSI (2010) Best Paper Nomination, HICSS (1999) NCCU Distinguished Professor (1997) Best Paper Award, Asia Pacific DSI (1996) She has supervised student research on topics including consumer behavior in online gaming, mobile technology adoption, and virtual community development. Her career also includes part-time administrative roles as department chair (2008-2011).

BY Chenمشاهده پروفایل

استاد

• Computer graphics
• Human-computer interaction
• Image processing
• +۱ مورد دیگر

BY Chen is a Professor at National Taiwan University's College of Management. Their research focuses on computer graphics, human-computer interaction, image processing, and multimedia systems, contributing to advancements in computer science and interactive technologies. Email: robin@ntu.edu.tw Office: 1112, Building 2, College of Management Chen's expertise bridges theoretical and applied research in visual computing and user-centered design. They maintain an active presence in academic communities through their personal website: graphics.csie.ntu.edu.tw .