جست‌وجوی استاد و پژوهشگر

• Computer Science
• Distributed Systems
• Software Transactional Memory
• +۷ مورد دیگر

Professor Graham Morgan is a distinguished faculty member at Newcastle University's School of Computing, where he serves as a Professor in the Department of Computer Science. His research spans multiple domains within computer science with a particular focus on distributed systems, Internet of Things technologies, and the application of gaming technologies to healthcare solutions. He leads several research projects and collaborates extensively with both academic and industry partners across multiple disciplines. Professor Morgan's primary research interests include distributed systems architecture, software transactional memory, IoT simulation frameworks, and the development of serious games for health applications. His work has pioneered approaches that bridge computer science with healthcare, particularly in developing video game-based rehabilitation systems for stroke patients and other therapeutic applications. His recent work has expanded into explainable AI, 6G networking, and advanced simulation techniques for IoT environments. Professor Morgan's publication record demonstrates a clear evolution from foundational work in distributed systems and transactional memory to more applied research in healthcare technology and IoT. His most recent publications (2023-2026) show a strong focus on simulation frameworks for IoT and osmotic computing, explainable AI systems, and the application of AI in clinical decision support. He has developed several notable simulation tools including SimulatorOrchestrator, IoTSimSecure, and SimulatorBridger that address critical challenges in networked systems and healthcare delivery. Principal Investigator for multiple research grants in IoT and healthcare technology Supervisor for numerous PhD and Master's students in computer science Collaborator with healthcare professionals on clinical decision support systems Developer of simulation frameworks for IoT and osmotic computing environments Researcher in AI-enabled clinical decision aids and healthcare applications Professor Morgan leads research teams focused on IoT simulation, serious games for health, and explainable AI. His laboratory develops simulation tools that address real-world challenges in networked systems, energy efficiency, and healthcare delivery. Current projects include the development of 6G-ready simulators, deepfake detection systems, and AI decision aids for clinical settings. He maintains strong collaborations with medical professionals, particularly in stroke rehabilitation and clinical decision support, ensuring his technical research has direct healthcare applications.

Thomas Ahrensمشاهده پروفایل

استاد

• Management Control Systems
• Practice Theory
• Accountability
• +۵ مورد دیگر

Thomas Ahrens is a Professor in the Department of Accounting at United Arab Emirates University in Al Ain. With 62 publications and over 5,400 citations, his work bridges management accounting theory with practical applications in both private and public sector organizations. His research has established him as a leading scholar in management control systems and practice theory approaches to accounting. Dr. Ahrens' research interests center on the roles of management control systems (MCS) in managerial practices. After initial work on the links between MCS, culture, and accountability, he has focused on how MCS are embedded in everyday organizational interactions, heavily influenced by Schatzki's practice theory. This work has produced significant concepts including enabling MCS, situated functionality of MCS, and management control anchor practices. His second major research stream applies MCS theory to public sector contexts, particularly examining budgeting, accountability, and the hybridization of financial and service expertise in local government. He has also made important contributions to research methodology for qualitative field research in organizations. Analysis of his recent publications (2020-2025) reveals several key trends: a deepening focus on public sector accounting challenges during crises (particularly the COVID-19 pandemic), increasing attention to social equity budgeting and fairness practices, growing interest in sustainability accounting and waste management, and sophisticated applications of Foucault's governmentality theory to understand accounting's role in governance. His work increasingly examines how accounting practices can simultaneously serve multiple institutional logics and value systems in complex organizational environments. Dr. Ahrens frequently collaborates with Laurence Ferry and other researchers in public sector accounting, demonstrating a strong commitment to collaborative scholarship. His work in the Jan Pfister's Lab at UAE University shows particular interest in how qualitative research methods can better capture the richness of organizational contexts. His contributions to special issues and workshops indicate active engagement in developing the methodological foundations of accounting research.

• Rich Web-based Applications Engineering
• Software Design
• Software Architectures
• +۴ مورد دیگر

Nalaka R. Dissanayake serves as a Senior Lecturer in the School of Computer Science and Engineering at the University of Westminster, where he contributes to the Software Systems Engineering Research Group. With 17 years of academic experience since 2007, he progressed from student instructor to his current senior position while completing his doctoral studies. His foundational education includes a B.Sc. in Information Technology from the Sri Lanka Institute of Information Technology (2007), an M.Phil. from the University of Colombo School of Computing (2017), and a Ph.D. from the University of Westminster (2024). Dr. Dissanayake's research centers on rich web-based applications engineering, where he has established significant contributions through architectural style development and design methodology formalization. His work introduces specialized concepts including RiWAArch Style, BAW-MVC, and delta communication principles that address core challenges in web application state management and communication efficiency. Current research frontiers actively explore prompt engineering techniques for integrating AI/ML capabilities into rich web applications, demonstrating adaptation to emerging technological paradigms while maintaining focus on architectural fundamentals. His publication portfolio reveals a clear research trajectory evolving from AJAX application foundations (2013-2014) through architectural pattern specification (2017-2020) toward comprehensive design methodology development (2023-2024). This progression demonstrates increasing theoretical sophistication while maintaining practical implementation relevance, with consistent output across journals like the Journal of Web Engineering and major conferences including FTC and ICTer. As an active academic contributor, Dr. Dissanayake serves as a reviewer for the Journal of Web Engineering and various conferences. His research group membership provides access to collaborative opportunities within the university's software engineering ecosystem, while his extensive teaching experience across multiple institutions offers valuable mentorship perspective for graduate students.

• Cloud Computing
• Machine Learning
• Computer Networks
• +۳ مورد دیگر

Hamed Hamzeh serves as Lecturer in Data Science at the School of Computer Science and Engineering, University of Westminster, and is affiliated with the Centre for Parallel Computing. His academic credentials include a Ph.D. in Cloud Computing from Bournemouth University and an MSc in Data Science from Istanbul Sehir University, Turkey. Dr. Hamzeh's research centers on cloud-native resource management, computer networks, and multi-agent systems, with groundbreaking work on fairness in cloud resource allocation. He developed novel algorithms including H-FFMRA and MRFS that address multi-resource scheduling in heterogeneous environments. His expertise spans AWS, Kubernetes, Python, and optimization techniques, bridging theoretical cloud computing with industrial applications in orchestration and resource management. Analysis of his 11 publications (2017-2023) reveals an evolving research trajectory: beginning with network bandwidth allocation (2017), advancing to cloud resource fairness (2018-2021), and culminating in cloud-to-things continuum orchestration (2023). This progression demonstrates increasing system complexity while maintaining core focus on fairness metrics across distributed environments. Dr. Hamzeh actively contributes to the academic community as technical committee member for IEEE ICCCS and Distributed AI conferences, and as reviewer for Springer's Journal of Grid Computing and Journal of Supercomputing. His service reflects recognition within cloud computing research circles. Prospective students receive supervision in Cloud Computing, Artificial Intelligence, Machine Learning, Software Engineering, and Computer Networks. Current research opportunities emphasize practical implementation of resource allocation algorithms in cloud-native environments through the Centre for Parallel Computing.