جستجوی استاد راهنمای دانشگاهی

Alexander Bolotovمشاهده پروفایل

استاد

• Automated Reasoning
• Graph-Based Reasoning
• Formal Methods
• +۱۳ مورد دیگر

Alexander Bolotov is a Professor at the University of Westminster's School of Computer Science and Engineering, where he serves as the Software Systems Engineering Research Group Leader and the Doctoral Researchers Development Programme Coordinator. He teaches Level 4 Mathematics for Computing and Level 5 Software Engineering Principles and Practice modules. His research spans Automated Reasoning, Graph-Based Reasoning, Specification and Verification of Complex Reactive, Concurrent and Distributed Systems, Formal Methods in Software Engineering, Logic, Temporal Logic, Proof Theory, On-Line Knowledge Repositories, and Ontologies. His expertise includes Formal Methods, Mathematical Modelling, Software Architecture, Program Reasoning and Logic Engineering. His recent publications demonstrate a strong focus on branching-time temporal logics, formal verification methods, ontology-based e-learning platforms, and applications in digital health evidence generation. His work bridges theoretical computer science with practical applications in healthcare, finance, and educational technology. Bolotov has successfully secured multiple research grants including Innovate UK projects RADIANT Implementation and RADIANT: Regulatory Science Empowering Innovation in Transformative Medical Software and AI, as well as funding from the Alan Turing Institute for developing frameworks for literature evaluation. He actively supervises doctoral students working on topics including ontology-driven frameworks for system integration, rich web applications, cloud computing load balancing, wireless sensor networks, and semantic selection of internet sources. His research group is involved with the Distributed and Intelligent Systems, Software Systems Engineering, and Centre for Parallel Computing.

• Cloud Computing
• Requirements Engineering
• Strategic Management of Information Systems
• +۱ مورد دیگر

Dr. Huseyin Dagdeviren serves as Senior Lecturer and Director of Employability in the School of Computer Science and Engineering at the University of Westminster, where he actively contributes to the Centre for Parallel Computing (CPC). With over two decades of academic experience, he bridges theoretical research with industrial applications through major EU-funded initiatives. His educational foundation includes a BA (Honours) in Business Administration and MSc in Information Systems. This interdisciplinary background informs his research approach, combining technical cloud computing expertise with strategic business perspectives. Dr. Dagdeviren's research centers on complex information systems, with specialized focus on Cloud Computing, Requirements Engineering, and Strategic Management of IT. His work drives innovation in cloud-to-edge orchestration and digital manufacturing through Horizon 2020 projects like CloudiFacturing and DIGITbrain, addressing critical industry challenges in SME digital transformation. Analysis of his 2004-2023 publications reveals an evolving trajectory from foundational database and UML education research toward cutting-edge distributed systems. Recent work (2021-2023) dominates in cloud/edge computing, demonstrating strategic alignment with funded projects and industrial relevance in manufacturing simulation and digital twin deployment. As Director of Employability, he oversees career development programs while securing substantial EU grants including CO-VERSATILE (2020) and DIGITbrain (2020). These multi-institutional projects provide robust funding for the CPC lab and create direct industry pathways for students. The Centre for Parallel Computing operates as his primary research hub, facilitating international collaboration across 10+ European countries. Students benefit from exposure to large-scale EU consortia, industry partnerships with Siemens/Bosch, and hands-on development of production-grade cloud orchestration platforms.

• Cloud Orchestration
• Containerization
• Digital Twins
• +۶ مورد دیگر

Jay Deslauriers serves as a Research Fellow at the University of Westminster's Centre for Parallel Computing and holds a Teaching Fellow position at Imperial College London spanning both the Graduate School and Business School. With five years at Westminster following prior service as a full-time Lecturer in the School of Computer Science & Engineering, his career bridges advanced cloud research and technical education. His research focuses on cloud and container orchestration with emphasis on vendor-agnostic solutions across the cloud-edge continuum. Key projects include leading MiCADO framework development for the EU Horizon 2020 DIGITbrain (Digital Twins in Manufacturing) and ASCLEPIOS (secure healthcare cloud platform) initiatives. His technical expertise spans Kubernetes, Docker, TOSCA standards, and infrastructure-as-code implementation. Research outputs show consistent publication trends in Decentralized orchestration frameworks (2023-2025) Digital twin deployment systems (2021-2022) Cloud-agnostic application management (2018-2020) with recent work emphasizing microservices in edge computing environments. His professional engagement includes Society of Research Software Engineering membership (since 2019) AdvanceHE fellowship (since 2020) supporting his dual focus on technical infrastructure and research education. Current supervision interests center on cloud/container orchestration, Docker/Kubernetes implementation, and statistical methods for resource optimization. His MiCADO framework remains central to multiple EU-funded projects with ongoing development for cloud-edge continuum applications.

• Performance Analysis and Engineering
• Energy Efficient Computing
• Parallel and Distributed Computer Architectures
• +۷ مورد دیگر

Vladimir Getov is a Professor at the University of Westminster with extensive international affiliations including Honorary Professor at Technical University of Sofia and Visiting Lab Fellow at Pacific Northwest National Laboratory. His leadership roles span the IEEE Computer Society (Governor since 2015), CoreGRID/ERCIM Working Group (Topic Leader 2009-2015), and multiple editorial positions including Area Editor for High Performance Computing at IEEE Computer. His research centers on Performance Analysis and Engineering, Energy Efficient Computing, and Parallel and Distributed Architectures with significant contributions to cloud computing, wireless sensor networks, and component-oriented design. Recent work focuses on energy-drain attack prevention in MAC protocols and application-specific thermal modeling for multi-core processors. Key awards include the Bulgarian National Scientific Award 'Pythagoras' (2009), IEEE Computer Society Certificates of Appreciation (2008, 2010), and CoreGRID Outstanding Contribution Award (2008). His publication record spans 35+ years with over 100 papers including the 2024 IEEE ICAI conference paper on electronic digital computing history. As leader of the Distributed and Intelligent Systems Research Group since 1996, he has supervised 7 PhD students to completion with frameworks like AGOCS cloud simulator and TunableMAC protocol. His EU project leadership includes CoreGRID (2004-2009) and GridCOMP (2006-2010), securing sustained research funding including Daiwa Foundation support (2017) for low-energy co-design methodology.

• 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.