جست‌وجوی استاد و پژوهشگر

Winston Hsuمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Large-scale Image and Video Search
• +۶ مورد دیگر

Professor Winston Hsu is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University, where he has served as a full professor since 2015. He is the co-director of the Communications and Multimedia Laboratory (CMLab) and founder of the MiRA (Multimedia indexing, Retrieval, and Analysis) research group. Additionally, he serves as the Founding Director for NVIDIA AI Lab at NTU, the first such lab in Asia. Professor Hsu received his Ph.D. in Electrical Engineering from Columbia University in 2007 under the supervision of Professor Shih-Fu Chang. Prior to his academic career, he was a founding engineer and research manager at CyberLink Corp., now a public image/video software company. National Taiwan University (2007-Present): Professor (2015-Present), Assistant/Associate Professor (2007-2015) MobileDrive (2021-2024): CTO and Vice President (Joint Venture between Foxconn and Stellantis) IBM TJ Watson Research Center (2016-2017): Visiting Scientist Microsoft Research Redmond (2014): Visiting Researcher Columbia University (2007): Ph.D. in Electrical Engineering Professor Hsu's research focuses on machine learning, computer vision, large-scale image and video search and recognition, and embedded AI. His work spans from fundamental research in visual recognition to practical applications in automotive systems, medical imaging, and e-commerce. He has pioneered work in disguised face recognition, low-resolution face hallucination, 3D model search, and virtual try-on systems. His current research emphasizes Embodied AI, integrating perception, action, and learning technologies for applications in automotive and robotics domains. His research group has produced numerous influential publications, particularly in top computer vision and multimedia conferences like CVPR, where they won first place in the Disguised Face Recognition competition in 2018. Their work spans diverse application areas including security, medical diagnostics, automotive systems, and e-commerce solutions, demonstrating strong translation from academic research to real-world impact. IBM Research Pat Goldberg Memorial Best Paper Award (2018) First Place, IARPA Disguised Faces in the Wild Competition (CVPR 2018) Best Brave New Idea Paper Award, ACM Multimedia 2017 NVIDIA AI LAB Award (First in Asia, 2016) First Place, MSR-Bing Image Retrieval Challenge (2013) World's Top 2% Scientists (2023) Professor Hsu actively mentors students and researchers, with his group consistently recruiting PhD students, postdocs, and research assistants. He has successfully bridged academia and industry through multiple collaborations, including his role as CTO at MobileDrive (a joint venture between Foxconn and Stellantis) from 2021-2024. His research has been supported by significant industry partnerships with Microsoft, IBM, and NVIDIA, as well as government grants from Taiwan's Ministry of Science and Technology. His laboratory, the Communications and Multimedia Laboratory (CMLab), maintains strong industry connections and focuses on cutting-edge research in visual AI. The lab has produced numerous award-winning projects and maintains active collaborations with global technology companies, particularly in the automotive and consumer electronics sectors.

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.

Yun-Nung Chenمشاهده پروفایل

استاد

• Natural Language Processing (NLP)
• Dialogue Systems
• Machine Learning
• +۳ مورد دیگر

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.

Jieh Hsiangمشاهده پروفایل

استاد

• Automated Reasoning
• Programming Language Logic
• Artificial Intelligence
• +۵ مورد دیگر

Jieh Hsiang is a Distinguished Professor at National Taiwan University , with affiliations in the Department of Computer Science and Information Engineering, the Digital Archives and Automatic Inference Laboratory, and the Digital Humanities Research Center. He holds concurrent roles at the Institute of Information Science, Academia Sinica, and the Higher Education Research & Development Office, National Taiwan University. Education PhD in Computer Science, University of Illinois at Urbana-Champaign (1979–1982) BS in Mathematics, National Taiwan University (1972–1976) Research Interests Hsiang's work spans automated reasoning , digital libraries , digital humanities , and information retrieval . His research focuses on integrating computational methods with cultural heritage preservation , particularly through tools like DocuSky and databases such as the Taiwan Historical Digital Library . He explores AI applications in patent analysis , historical text mining , and semantic relationships in legal documents . Recent Trends in Publications His recent articles highlight advancements in BERT and GPT-2 fine-tuning for patent classification , LARGE language models for legal automation , and GIS-based analysis of historical archives . Themes include digital preservation , AI-driven legal text analysis , and cross-disciplinary computational tools for humanities scholars. Scientific Awards 2019 Ministry of Science and Technology Distinguished Research Fellow 2009 National Taiwan University Outstanding In-House Service Award 2008 Chinese Library Association Special Contribution Award 2006 IEEE Test-of-Time Award 1997 & 1999 National Science Council Outstanding Research Award 1997 Ministry of Education Outstanding Industrial-Academic Collaboration Award 1998–2001 Founder and First Chair of IFIP WG1.6 Labs and Collaborations Hsiang leads the Digital Archive and Automatic Inference Laboratory , developing platforms like DocuSky for digital humanities, Taiwan Historical Digital Library , and QGIS Cloud Maps for spatial analysis. His team collaborates internationally on projects involving historical document digitization , patent automation , and cross-domain knowledge integration .

• 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.

Ai-Chun Pangمشاهده پروفایل

استاد

• Fog/Edge Computing
• Wireless Networking
• Mobile Computing
• +۵ مورد دیگر

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.

• 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 .

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.

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.

Chung-Wei Linمشاهده پروفایل

دانشیار

• Cyber-physical systems
• Connected and Autonomous Vehicles
• System Security
• +۵ مورد دیگر

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.

• Sustainable Supply Chain Management
• Socially Responsible Operations
• Cloud Computing Decision Analysis
• +۲ مورد دیگر

Li-Ming Chen is a Professor in the Department of Business Administration at National Chengchi University's College of Commerce, where he has served since 2009, progressing from Assistant Professor to full Professor. His research focuses on sustainable supply chain management, socially responsible operations, and cloud computing decision analysis, with numerous publications in high-impact journals including IEEE Transactions on Engineering Management and Transportation Research Part E. PhD in Industrial and Systems Engineering, University of Florida (2009) MS in Industrial Engineering, University of Michigan (2005) BS in Industrial Engineering and Management, National Chiao Tung University (2001) Professor Chen's research spans three interconnected domains: sustainable supply chain management, socially responsible operations, and cloud computing applications in business. His work examines how organizations can balance economic efficiency with environmental and social responsibility, particularly in perishable product supply chains. He has developed innovative models for two-bin inventory strategies that simultaneously maximize profits while minimizing waste, addressing both business and sustainability concerns. His research on cloud supply chains investigates how firms can optimize their computing resources through cloud bursting strategies while managing associated cybersecurity risks. An analysis of his 15 most recent publications reveals a clear research trajectory evolving from traditional operations management toward more contemporary concerns at the intersection of technology, sustainability, and social responsibility. Early work focused on fundamental inventory and pricing problems for perishable goods, while more recent research examines omnichannel retailing, fintech ecosystems, and cloud supply chain resilience. His publications consistently appear in top-tier journals across operations management, supply chain, and information systems disciplines, demonstrating interdisciplinary impact. Professor Chen has secured continuous research funding from Taiwan's National Science and Technology Council (formerly MOST) for over a decade, with current projects extending through 2026. His research portfolio spans semiconductor equipment manufacturing, perishable product management, supply chain resilience, and cloud computing applications. Despite his extensive publication record and research funding, the available materials do not mention specific scientific awards or honors. 114 Project: Investigating semiconductor equipment manufacturers' circular manufacturing of faulty parts (2025-2026) 113 Project: Two-bin strategy for short shelf-life products (2024-2025) 112 Project: Supply chain resilience in the post-pandemic era (2023-2025) 111 Project: Two-bin system for perishable goods (2022-2024) 110 Project: Cloud supply chain disruptions and recovery (2021-2023) Professor Chen teaches Operations Management, Management Science, Supply Chain Management Practice, and Social Responsibility and Ethics courses. His research demonstrates strong alignment with his teaching areas, particularly in applying theoretical operations research concepts to practical business problems with social and environmental dimensions. While the available materials don't specify laboratory or research team details, his extensive publication record with multiple co-authors suggests active collaboration with both domestic and international researchers.

• Location Based Services
• Geographical Information Systems
• Database Design
• +۲ مورد دیگر

CH Cho serves as a part-time Associate Professor in the Department of Information Engineering, with research expertise spanning critical areas of modern information systems. The institutional affiliation (university/school) remains unspecified in the source documentation. His technical focus integrates spatial computing and data infrastructure, with primary research domains including: Location Based Services for real-time positioning applications Geographical Information Systems (GIS) for spatial data analysis Database Design principles for efficient data structuring Advanced Data Mining techniques for pattern discovery Distributed Databases architecture for scalable systems No scientific awards, student advisement records, or grant activities are documented in the available profile. Laboratory affiliations and collaborative research teams are not mentioned within the provided institutional context.

• 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.

• 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.