جست‌وجوی استاد و پژوهشگر

• Supply Chain Management
• Enterprise Architecture
• Business Information Systems
• +۳ مورد دیگر

Jos van Hillegersberg serves as Full Professor in Industrial Engineering & Business Information Systems, demonstrating extensive scholarly contributions with 201 research outputs including 62 articles and 82 conference contributions. His academic profile shows consistent productivity across two decades with significant publication volumes in peak years like 2015 (19 outputs). Research interests center on Supply Chain Management (73% fingerprint weight), Enterprise Architecture, Business Information Systems, and emerging domains like Low-Code Development and AI applications. His work bridges computer science with practical business engineering challenges, particularly in supply chain optimization and digital transformation across multiple sectors. Recent publication trends (2023-2025) reveal strong interdisciplinary focus: agricultural data privacy systems, AI-driven healthcare solutions for diabetes, public sector DevOps optimization, and construction logistics control towers. These works consistently address real-world implementation challenges while maintaining theoretical rigor in enterprise modeling and systems engineering. With an h-index of 28 and 2900+ Scopus citations, Professor van Hillegersberg actively shapes academic discourse through leadership roles including chairing the 11th International Workshop on Enterprise Applications in Finance (FinanceCom 2022). His supervision of 32 students demonstrates commitment to developing next-generation researchers in business information systems.

Polyxeni Vasilakopoulouمشاهده پروفایل

استاد

• Information Systems
• Digital Transformation
• AI Ethics
• +۵ مورد دیگر

Polyxeni Vasilakopoulou is a Professor at the Department of Information Systems, University of Agder. She holds a PhD from the National Technical University of Athens and MSc from Columbia University. Her research focuses on ICT-enabled interventions, digital infrastructure governance, and data-driven value creation. She leads research groups including CeDiT (Centre for Digital Transformation) and Human-Centered AI (HCAI). Education: PhD, Industrial Management & Operational Research (2012), National Technical University of Athens MSc, Industrial Engineering & Operations Research (1997), Columbia University Engineering Diploma (1995), Technical University of Crete Research Themes: (1) Dynamics of digital infrastructures, (2) Digitalization of work processes, (3) Design-oriented studies with user-centric focus. Key focus on data-driven value creation and control dynamics. Recent work addresses AI ethics, human-AI collaboration in public services, and responsible AI frameworks. Teaching includes undergraduate courses on Digital Interaction Design, IS Project Management, and graduate-level IS research methods. Contributes to national PhD programs in eHealth and Information Systems theories. Her publications span leading journals like Communications of the AIS and Information and Organization , with recent emphasis on AI accountability, transparency, and societal impacts. Active in research communities through editorial roles in Scandinavian Journal of Information Systems and conference program committees. Consulting background (1997-2009) in operations optimization and decision support systems for banking sectors provides practical grounding to her academic work.

Elizabeth Friedmanمشاهده پروفایل

استادیار

• Consumer Behavior
• Marketing
• Behavioral Economics
• +۱ مورد دیگر

Elizabeth Friedman is an Assistant Professor of Marketing at Columbia University's Graduate School of Business. She holds a B.A. in Philosophy, Politics and Economics from the University of Pennsylvania and a Ph.D. in Marketing from Yale University. Prior to academia, she worked as a management consultant at Monitor Deloitte and New England Consulting Group. Her research examines consumer decision-making processes, including psychological barriers to consumption, goal-oriented choice behavior, and contextual influences on purchasing decisions. She teaches courses in Behavioral Economics & Decision Making at both graduate and undergraduate levels.

Pang Jamesمشاهده پروفایل

دانشیار

• Big Data Analytics
• Supply Chain Management
• Healthcare Analytics
• +۳ مورد دیگر

Pang James is an Associate Professor (Practice Track) at the National University of Singapore (NUS), serving as Co-Director of the NUS Business Analytics Centre. His roles include leading the Healthcare Analytics vertical in NUS's MSBA program, collaborating with institutions like SingHealth and Microsoft, and advising IBM's Public Sector division. He holds a PhD from NUS-MIT Alliance and has extensive industry experience at IBM, Motorola, and Micron Technology. Education: PhD in Manufacturing Systems & Technology (NUS-MIT, 2006), M.Eng (Zhejiang University, 2002), B.Eng (Zhejiang University, 1999). Professional certifications include Open Group Master Certified Architect and IBM Certified Architect. Research focuses on supply chain analytics, healthcare optimization, and big data systems. He has led over 20 major industry projects including Singapore's National Electronic Health Record system and DHL's global logistics cloud. Awards include IBM's Outstanding Technical Achievement Award (2011) and multiple invention awards. Teaching includes graduate courses on Healthcare Analytics and Business Intelligence at NUS. He actively participates in industry advisory boards and has authored 16+ publications covering topics like cognitive computing, cloud architectures, and AR applications in manufacturing.

Wasim Sadiqمشاهده پروفایل

استاد مدعو

• Computer Science
• Software Engineering
• Workflow Management
• +۳ مورد دیگر

Wasim Sadiq is an Adjunct Professor at the School of Electrical Engineering & Computer Science, University of Queensland. His research focuses on software engineering, workflow management systems, and database technologies. He has contributed to service-oriented architectures, flexible workflow validation, and big data processing on platforms like SAP HANA. His publications span topics such as toolkit development for service interaction patterns and trajectory data storage optimization. Collaborators include experts in computer science and database systems. No specific grants or awards are listed, though his work demonstrates sustained engagement with industry-relevant challenges.

• Web Informatics
• Markup Languages
• Computational Linguistics
• +۵ مورد دیگر

Henry S. Thompson is a Professor of Web Informatics at the University of Edinburgh's School of Informatics, affiliated with the Institute for Language, Cognition and Computation. He is a Fellow of the Alan Turing Institute and has been actively involved in W3C standards development, particularly in XML Schema and Web architecture. His research spans markup languages, computational linguistics, and data-intensive linguistics, with a focus on empirical studies of Web behavior and URI ecosystems. Research Interests: Web informatics and architecture XML standards and validation frameworks Computational linguistics and corpus management URI systems and persistence Semantic Web technologies Publications & Contributions: Thompson's work includes influential papers on XML Schema validation, URI ecosystems, and REST architecture critiques. He developed tools like XSV (XML Schema Validator) and contributed to the W3C Technical Architecture Group (2005–2012). His research emphasizes empirical analysis of large Web datasets and dynamic proxy logs. Awards: Fellow of the Alan Turing Institute (recognizing contributions to data science and AI). Grants & Labs: Involved in projects like eCurator (digital curation) and collaborates with the World Wide Web Consortium (W3C) on standards. He also consults via Markup Systems , focusing on XML and business mentoring. Labs/Teams: Leads research in the Institute for Language, Cognition and Computation, contributing to interdisciplinary work on language technology and cognitive science.

Jamal El-Denمشاهده پروفایل

مدرس ارشد

• Knowledge Management
• Positive Psychology
• Group Support Systems
• +۶ مورد دیگر

Dr. Jamal El-Den is a Senior Lecturer in Information Systems at Charles Darwin University's Faculty of Science and Technology. He holds a PhD in Information Systems from the University of Technology Sydney. His research focuses on Knowledge Management, Positive Psychology, Group Support Systems, Organizational Productivity, and the transformative role of Social Media in Education. He has successfully graduated three PhD students and currently supervises two more. His work bridges theoretical frameworks with practical applications in areas like AI-driven education, sustainable digital learning, and healthcare informatics. Dr. El-Den is actively engaged in interdisciplinary research, exploring topics such as energy-efficient 6G networks and smart urban systems. His publications span over 20 years, demonstrating a commitment to advancing Information Systems across diverse domains. Education: PhD in Information Systems (UTS Sydney). Key research interests include AI-enabled reskilling, sustainable digital learning, and the intersection of technology with organizational well-being. He has contributed to frameworks for social media adoption in educational and enterprise contexts, emphasizing cooperative learning and knowledge sharing. Notable research contributions include studies on diabetic retinopathy diagnosis via deep learning, stochastic models for technology adoption, and security compliance through positive psychology interventions. His work often addresses real-world challenges in education, healthcare, and urban planning, reflecting a dedication to socially impactful research.

• Computer Networks
• IoT
• Edge Computing
• +۶ مورد دیگر

James Hardy is a Senior Lecturer in Computer Networks at the College of Science and Engineering. His research focuses on optimizing network systems, with particular emphasis on IoT healthcare applications, edge computing, social media data analysis, and energy efficiency in next-generation networks. He has contributed to frameworks like Mobilouds and algorithms for service matching in IoT environments. His work spans diverse areas including traffic congestion reduction through queueing theory applications, URI encoding schemes for IPv6, and cloud computing infrastructure optimization. Recent publications highlight advancements in real-time streaming scheduling and user-interest-driven content discovery in peer-to-peer networks. Hardy's research demonstrates a strong interdisciplinary approach, blending computer science fundamentals with practical applications in healthcare, transportation, and urban systems. His output includes over 700 views and 290 downloads across his publications, reflecting significant academic impact.

Jan-Henrik Böttcherمشاهده پروفایل

پژوهشگر

• Software Engineering
• Systems Engineering
• Computer Science
• +۳ مورد دیگر

Jan-Henrik Böttcher is a Researcher at the University of Hildesheim, affiliated with the Department of Software Systems Engineering under the Faculty of Mathematics, Natural Sciences, Economics and Computer Science. His work focuses on Software Engineering, Model-Based Development, and Service-Oriented Architectures. He is part of the Institute of Computer Science and contributes to academic projects such as ReGaP, SELF-le@rning, and EXPLAIN. Contact details include a phone number (+49 5121 883-40348), fax (+49 5121 883-40349), and an office in Room C 141 Spl at the Samelson Campus. His professional homepage provides further insights into his research and activities. Research interests align with his department's focus on advanced software systems, including empirical methods in software engineering and requirements engineering. While no specific awards are listed, his involvement in interdisciplinary projects reflects a commitment to innovative solutions in computer science. No advising roles or grants are explicitly mentioned. His contributions likely extend to academic infrastructure and educational initiatives, such as organizing seminars and practical projects in software engineering methodologies.

• Intelligent Transportation Systems
• Machine Learning
• Computer Networks
• +۳ مورد دیگر

Zongtao Duan is an active researcher with a focus on intelligent transportation systems, cybersecurity, and machine learning applications. His work spans areas including traffic flow prediction, silent data corruption detection, vehicular networks security, and deep learning architectures for autonomous systems. He collaborates frequently with colleagues like Lei Tang and Junchi Ma, publishing in top-tier journals such as IEEE Transactions on Intelligent Transportation Systems and Future Generation Computer Systems. His research emphasizes practical solutions for urban mobility challenges, including ridesharing optimization and railway congestion control, while also addressing foundational issues in hardware reliability and error propagation modeling. Recent contributions include advancements in multimodal retrieval systems and knowledge graph applications in scientific data management. Zongtao has contributed to over 40 peer-reviewed publications since 2004, with notable work in 2025 exploring SDC evaluation frameworks and scenario-based testing for autonomous vehicle safety. His interdisciplinary approach bridges computer science, transportation engineering, and cybersecurity to address real-world technical challenges.

• Software Engineering
• Internet of Things (IoT)
• Distributed Systems
• +۳ مورد دیگر

Prof. Roy Oberhauser is a faculty member at Hochschule Aalen, part of the Faculty of Electronics & Computer Science. His research focuses on software engineering, IoT, distributed systems, and service-oriented computing. He holds editorial roles in journals like the International Journal on Advances in Software and Transactions on Internet of Things . He has been actively involved in multiple technical conferences as a program committee member, steering committee member, and keynote speaker, including ICSEA, VALID, and eKNOW series. His professional recognitions include the IEEE Certificate of Appreciation and Fellowship with IARIA. He is certified in Scrum, software architecture, project management, and testing. Education Background: Not explicitly detailed in provided texts. Professional Roles: Editorial Board member, Program Committee member, Keynote speaker, Session Chair across 50+ international venues since 2000. Labs/Teams: Not explicitly mentioned in provided information.

Sharon Simmonsمشاهده پروفایل

استاد

• Program Comprehension Monitoring
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Sharon Simmons is a Professor of Computer Science at James Madison University (JMU), where she has served since 2010. Previously, she held academic positions at the University of West Florida (2001–2010) and the University of West Georgia (1997–2001). She holds a Ph.D. in Computer Science from The College of William and Mary (1999), an M.S. (1991), and a B.S. (1984) in Computer Science from the University of Southern Mississippi. Her research focuses on Program Comprehension Monitoring, Distributed Systems, and Network Security, with additional expertise in Cybersecurity, Power Systems Control, and Software Engineering. Her educational contributions include pioneering work in K-12 computer science outreach and curriculum design, particularly through backward design methodologies and broadening participation initiatives. She has also developed innovative tools like the SOA Laboratory for education and research. Her publications span technical domains such as intelligent multi-agent frameworks for power systems, SOA application maintenance, and AI-driven educational tools. While no scientific awards are explicitly listed, her work demonstrates sustained engagement with both technical and pedagogical challenges in computer science. Her professional activities include advising on technical course development (e.g., Web Services and SOA) and maintaining a lab focused on SOA innovation. She is affiliated with the College of Integrated Science & Engineering at JMU, reflecting her interdisciplinary approach to science and technology education.

Juan Zhangمشاهده پروفایل

مدرس

• Mobile Edge Computing
• Intelligent Transportation Systems
• Game Theory
• +۷ مورد دیگر

Dr. Juan Zhang is a Lecturer at the Department of Computer and Information Sciences, Northumbria University, UK. She holds a PhD in Computer Science from the University of Exeter and has held postdoctoral positions at Helmut-Schmidt University, Germany, and visiting roles at Georg-August-University of Göttingen. Her research focuses on mobile edge computing, intelligent transportation systems, decision-making strategies, and autonomous vehicles. She has published extensively in top journals like IEEE Transactions and IEEE Conference Proceedings, with over 225 citations. Dr. Zhang teaches modules including Computer Networks, Cyber Security, and supervises numerous PhD/MSc students in edge computing and vehicular networks. Education: PhD in Computer Science, University of Exeter (UK) M.Sc. in Control Science & Engineering B.Eng in Mechanical Engineering, Beihang University (China) Research Interests: Her work integrates AI with transportation systems, emphasizing eco-driving controllers, vehicular platooning, and multi-agent systems for HD mapping. She explores game-theoretic approaches for edge computing optimizations and reinforcement learning applications in autonomous systems. Teaching: Current modules: KF7023, KV6017, KF7029, etc. Supervised over 20+ student projects on edge computing, federated learning, and vehicular networks. Labs/Teams: Active in Northumbria's Computer Networks Group and collaborates internationally on vehicular edge computing and smart logistics systems.

Xiaohui Zhaoمشاهده پروفایل

مدرس ارشد

• Business Process Management
• Business Intelligence
• Data Analytics
• +۳ مورد دیگر

Dr. Xiaohui Zhao serves as a Senior Lecturer at the Institute of Innovation, Science and Sustainability (IISS), Federation University Australia, based at the Mt Helen campus. His academic role bridges business process theory with practical IT implementation, focusing on real-time analytics integration within organizational workflows. His educational foundation includes: Bachelor of Engineering (Computer Science and Technology) Master of Engineering (Computer Science and Technology) PhD in IT from Swinburne University of Technology (2007) Zhao's research centers on Business Process Management with specialized expertise in artifact-centric modeling, situational awareness systems, and real-time business intelligence. His work demonstrates how data analytics can dynamically optimize business operations through context-aware process adjustments. Current projects explore hyper-automation frameworks that merge AI-driven decisioning with traditional BPM workflows. Analysis of his 15 most recent publications reveals a consistent trajectory from foundational process modeling (2010-2015) toward real-time analytics integration (2016-2022). Key thematic clusters include artifact-centric process specialization, resource scheduling under constraints, and RFID-enabled business logic implementation. His interdisciplinary approach spans computer science, operations research, and business analytics. Dr. Zhao actively mentors doctoral candidates including Sira Yongchareon (artifact-centric BPM), Jiajie Xu (resource optimization), and Shangfeng Hu (knowledge networks). His research program is supported by competitive grants from: Ministry of Science and Innovation (New Zealand) Department of Education and Training (Australia) Department of Foreign Affairs and Trade (Australia)

José María Conejeroمشاهده پروفایل

دانشیار

• Model Driven Software Development
• Big Data
• Machine Learning
• +۳ مورد دیگر

José María Conejero is an Associate Professor in the Department of Systems Informatics and Telematics at the University of Extremadura, Spain. He holds a PhD in Computer Science (2010) from the same institution. His research focuses on Model-Driven Software Development, Big Data, Machine Learning, Web Engineering, and Educational Technology. He has published over 50 articles in journals and conferences, and actively participates in program committees. Research interests include software modernization, reproducible data science workflows, legacy system migration (e.g., MigraSOA project), and AI applications in education. He co-founded MetrikaMedia, a university spin-off startup. Notable contributions include model-driven approaches for service-oriented architectures, aspect-oriented software metrics, and smart city applications using unmanned systems. His educational contributions involve developing recommender systems for student enrollment decisions and analyzing ChatGPT's impact on engineering education assessment methods. He has received the 'Best Paper' award at JENUI 2023. Key projects include semantic alignment of business processes with web services, aspect mining methodologies, and DSL development for smart home automation (HAAIS-DSL). He has also explored crosscutting concerns in software product lines and technical debt impact analysis.