جست‌وجوی استاد و پژوهشگر

Al Amjad Tawfiq Isstaifمشاهده پروفایل

پژوهشگر

• Cloud and Edge Computing
• Microservices and Serverless
• Operating Systems and Middleware
• +۵ مورد دیگر

Al Amjad Tawfiq Isstaif is a Research Associate in the Systems Research Group (SRG) at the Department of Computer Science and Technology (also known as "The Computer Lab") at the University of Cambridge, working with Professor Richard Mortier. He is a member of Clare College. In 2018, he was awarded the Said Foundation Cambridge Scholarship to study the MPhil in Advanced Computer Science (ACS) at the Computer Lab. Before moving to Cambridge, he co-founded several projects for empowering engineering students in Syria, including the award-winning education enterprise: Wikilogia. His research interests include: Cloud and Edge Computing Microservices and Serverless Operating Systems and Middleware Networked and Distributed Systems Machine Learning Systems Human-Centred Computing Machine Learning and Artificial Intelligence Systems and Networking Isstaif's primary research focus is on building self-scaling network services on top of next generation infrastructure (IoT/5G/edge), leveraging lightweight virtualization techniques and distributed tracing. His work falls under the Compute First Networking research project. He has deep passion for social entrepreneurship and the role of digital infrastructure in addressing development and sustainability challenges across the globe. His technical expertise bridges the IT and telecom worlds, with emphasis on cloud-native and open source movements shaping future infrastructure. His recent publications demonstrate a strong focus on optimizing serverless computing environments, with particular attention to scheduling algorithms, resource management, and latency optimization in Linux-based systems. The trajectory of his work shows progression from database performance modeling to cutting-edge research in edge computing and network infrastructure. Notable awards and recognitions: Said Foundation Cambridge Scholarship (2018) Co-founded Wikilogia, an award-winning education enterprise for engineering students in Syria Isstaif has teaching experience in Operating Systems (LT 2021) and maintains an active research profile within the Systems Research Group. His work connects theoretical computer science with practical applications in cloud infrastructure, particularly focusing on how these technologies can serve broader societal needs in developing contexts. He is located in Room FN07 at the William Gates Building, 15 JJ Thomson Avenue, Cambridge CB3 0FD.

Yang Caoمشاهده پروفایل

مدرس

• Databases
• Data Mining
• Data Management
• +۴ مورد دیگر

Yang Cao is a Lecturer at the School of Informatics , University of Edinburgh , and holds a RAEng Research Fellow position. His work focuses on Databases and Data Mining Foundations of Database Systems Data Management and Optimization Research Interests: Yang Cao's research spans multiple areas in database systems, including In-database machine learning explanations Vector database optimization Transaction scheduling and isolation Graph transaction frameworks Query optimization under constraints Graph computation vectorization Article Trends: Recent work emphasizes Integrating AI/ML with database systems Graph transaction models and isolation Query optimization for big data Data quality through pattern dependencies Cache consistency in transactional systems Scientific Awards: RAEng Research Fellow SIGMOD Research Highlight Award (2018) Best Paper Award at SIGMOD (2017) PhD Students: Current and former students include Ziying Chen (2025--) Beining Yang (2024--) Tianjian Yang (2024--) Shuai An (Associate Professor, Beijing Jiaotong University) Wenyue Zhao (Amazon, London) Wenzhi Fu (Research Associate, University of Edinburgh) Multiple PhD and postdoc positions are available.

Tobias Blankeمشاهده پروفایل

استاد

• Artificial Intelligence
• Digital Humanities
• Ethical AI
• +۵ مورد دیگر

Professor Tobias Blanke is a University Professor of Artificial Intelligence and Humanities at the University of Amsterdam and affiliated with King’s College London. His academic background spans computer science and political philosophy. He holds a dual role as Professor of AI and Humanities at UvA and Professor of Social and Cultural Informatics at King’s, where he previously served as Department Head (2016–2019). His research focuses on AI ethics, big data applications in human sciences, and critical digital practices. Key areas include algorithmic governance, predictive policing, and digital platform critique. Blanke leads projects like the European Holocaust Research Infrastructure (EHRI) and Our Data Ourselves, exploring datafication’s societal impacts. He directed DARIAH (2012–2016), a European Digital Humanities infrastructure. Awards include the ISA-STAIR award (2022) for Algorithmic Reason . His work bridges technical and normative dimensions of AI, emphasizing ethical implications and interdisciplinary collaboration. Blanke’s grants include an €8M EU grant for Holocaust research infrastructure and funding for born-digital data projects. He collaborates with institutions like the Open Data Institute and TacticalTech. His affiliations include the King’s Centre for Technology, Ethics, Law & Society (TELOS).

• Human-Computer Interaction (HCI)
• User Experience (UX) Design
• Sustainable Interaction Design
• +۴ مورد دیگر

Professor David Benyon, affiliated with the School of Computing at Edinburgh Napier University, is a leading researcher in Human-Computer Interaction (HCI), User Experience (UX) Design, and Blended Spaces. His work bridges digital and physical environments to create sustainable interaction frameworks, notably integrating permaculture principles into UX design. Primary Affiliation: School of Computing, Edinburgh Napier University Research Themes: Sustainable HCI, Blended Spaces, Digital Tourism, Collaborative Interactive Environments Key trends in his publications include: 2024: Explored database concepts and narrative-driven blended experience frameworks 2022: Analyzed spatial interaction, conceptual blending, and medium-specific design theories 2021: Advanced sonification techniques for planetary orbit visualization 2017: Pioneered sustainable HCI through permaculture integration in user experience

• Distributed Systems
• Cloud Computing
• Cybersecurity
• +۱۲ مورد دیگر

Anatoliy Gorbenko is a Senior Lecturer at the School of Computing, Creative Technologies and Engineering, Leeds Beckett University, UK. He also holds a Visiting Professor position at the Department of Computer Systems, Networks and Cybersecurity, National Aerospace University, Kharkiv, Ukraine. His educational background includes a M.Eng. in Computer Engineering (2000), Ph.D. in Computer Science (2005), and a D.Sc. habilitation (2012) from the National Aerospace University, Kharkiv. He served as Dean of the Aircraft Radio-technical Faculty from 2014 to 2016 and led the Service-Oriented Systems Dependability research group. His research focuses on the dependability, performance, and security of distributed systems, cloud computing, and service-oriented architectures. Key areas include intrusion and fault tolerance, software vulnerability lifecycle management, performance trade-offs in NoSQL databases, green computing, wireless network sustainability, and risk analysis in aerospace systems. His work integrates mathematical modeling, stochastic analysis, and practical system design. Current and recent research projects include: VULNERABILITY : Framework for rigorous software vulnerability management TRADE-OFF : Energy, latency, consistency trade-offs in distributed NoSQL systems SYNERGY : Energy-aware VM coexistence and rejuvenation in cloud data centers AVOID : Secure deployment of cross-platform web applications COSMO : Risk analysis of launch vehicle crashes and spacecraft failures Improving Policing of Cybercrime : Evidence-based digital forensics and cybercrime investigation He teaches courses such as Computer Communications (Level 4), Digital Security Landscapes (Level 5), and Cloud Computing Development (Level 7). He is affiliated with the Cybercrime and Security Innovation Centre and contributes to interdisciplinary computing research involving human aspects of technology. His research is application-driven, aiming to bridge theoretical rigor with real-world system resilience, security, and sustainability. He collaborates across institutions and domains, particularly in cybersecurity, aerospace systems, and energy-efficient computing.

• Computer Science
• Programming
• Web Development
• +۵ مورد دیگر

Owen Jones serves as a Computer Science and Programming Instructor at the Faculty of Environment and Technology (FET), University of the West of England (UWE Bristol). He supports practical teaching, project guidance, and systems/hardware maintenance. Expertise: C, Python, HTML, CSS, JavaScript, React, Flask, Linux, Git, MATLAB, SQL/NoSQL databases, Arduino/Raspberry Pi Education: MEng, MSc His work includes developing the SCCT Development Environment , a Docker-based cross-platform setup for students featuring Ubuntu, MySQL/MariaDB, MongoDB, PHPMyAdmin, and Mongo Express. He also contributes to Scouting activities in Bristol, managing Explorer Scouting (14-18 years) and open-source projects like trailapp (scavenger hunt web app) and kohoutek (Scout competition tool).

Muhammad Younasمشاهده پروفایل

استاد

• Cloud Computing
• Big Data
• Internet of Things
• +۲ مورد دیگر

Muhammad Younas is a Professor of Computer Science at Oxford Brookes University's School of Engineering, Computing and Mathematics. He serves as Subject Coordinator for both MSc Data Science & AI and MSc Artificial Intelligence programs. His teaching covers Web Technologies, Data Science, E-Business Systems, and Cloud Computing. His research focuses on: Cloud Computing & Big Data Internet of Things Web/Database Systems Web Information Retrieval He co-leads the Migration and Refugees Research Network and directs projects including: Cloud Service Selection, NoSQL Transaction Management, WoT Architecture, and Web Information Extraction. Recent publications (2015-2024) demonstrate strong focus on cloud systems, blockchain, IoT security, and machine learning applications, with emerging work in intelligent transportation and metaverse technologies. He supervises postgraduate students in areas including cloud computing, big data systems, IoT, and web technologies. Professional affiliations include the Applied Software Engineering & Data Analytics Group and Cloud Computing & Cybersecurity Group. Professor Younas chairs major IEEE conferences (ICWS, SCC, BigDataService) and serves on editorial boards for multiple journals including International Journal of Service-Oriented Computing and Applications and Human-centric Computing and Information Sciences.

Yuvraj Patelمشاهده پروفایل

استادیار

• Computer Systems
• Operating Systems
• Concurrency
• +۶ مورد دیگر

Yuvraj Patel is a Lecturer (Assistant Professor) in Computer Science at the School of Informatics, University of Edinburgh, and a member of the Institute for Computing Systems Architecture (ICSA). He previously served as a postdoctoral researcher and Associate Lecturer at the University of Wisconsin–Madison, where he also earned his Ph.D. under Professors Andrea and Remzi Arpaci-Dusseau. His research spans operating systems, concurrency, security, storage systems, and distributed systems. His research focuses on performance and security challenges in concurrent systems, particularly where synchronization primitives are shared among untrusted tenants. He introduced the concepts of scheduler subversion and adversarial synchronization , showing that synchronization must be treated competitively rather than cooperatively. His key contributions include Scheduler-Cooperative Locks (SCLs) for fair lock usage and Trātṛ , a kernel extension that detects and mitigates synchronization attacks. He has extensive industry experience from nearly eight years at NetApp working on the WAFL filesystem and a stint at SanDisk on FTL design. His recent publications, appearing in venues like USENIX Security, EuroSys, FAST, and OSDI, demonstrate a consistent focus on real-world systems problems involving isolation, fairness, and security in shared environments. His work combines deep systems insight with practical implementation and evaluation. US Patent 10,705,951 – Shared Fabric Attached Memory Allocator US Patent 10,621,162 – Storage Tier Verification Checks US Patent 8,078,653 – Process for Fast File System crawling Yuvraj Patel actively mentors students and is currently recruiting Ph.D. candidates at the University of Edinburgh. He has advised multiple undergraduate and graduate students on topics including fairness in locking, adversarial synchronization, and kernel critical section analysis. His teaching includes Security Engineering at Edinburgh and Introduction to Operating Systems at Wisconsin. He leads a research group focused on building abstractions for near-ideal isolation in shared environments, with ongoing work in synchronization, storage systems, and kernel security. His team develops open-source software such as Trātṛ, CuttleFS, and SCL implementations.

David Nelsonمشاهده پروفایل

مدرس ارشد

• Databases
• Big Data
• NoSQL
• +۳ مورد دیگر

David Nelson is a Senior Lecturer in the Faculty of Computer Science at the University of Sunderland, where he has served since 1999. His research focuses on databases, Big Data, and NoSQL systems, alongside pedagogical innovations in database education. He leads multiple MSc programs including Computing, Data Science, and Cybersecurity, and oversees Master's projects across Computing and Engineering. His work includes collaborations with North East companies via Knowledge Transfer projects, rated outstanding. He currently supervises PhD students in database security and noisy web data learning, and chairs steering committees for key database education conferences. Research interests span database security, data privacy, and high-performance computing. Awards include Chartered IT Professional status and Fellow of the Higher Education Academy. His publications emphasize database interoperability, query optimization, and bioinformatics applications of network analysis. He has pioneered virtual cluster development for teaching and authored influential works on database normalization in Big Data contexts.

• Database Systems
• Information Theory
• Systems Interoperability
• +۶ مورد دیگر

Junkang Feng is a Senior Lecturer in the School of Computing, Engineering and Physical Sciences, with visiting professor roles at Beijing Union University and Donghua University in China. He is a core member of the Database and Knowledge Management Research Group, focusing on database theory, information systems, and soft systems methodology. His research emphasizes complex system alignment, smart manufacturing frameworks, and information flow theory applications. His research spans over two decades, with 228 publications (including 129 refereed papers) and significant funded projects such as the EU-funded NCEC collaboration (€1M, 2000-2002). He has supervised 8 PhD students to completion, currently guiding 3 more, and examined 3 theses. Collaborations include Fraunhofer IPA (Germany), the James Hutton Institute (UK), and Tantrum XYZ London. Key research areas include database systems (relational/NoSQL), information theory applications, and soft systems thinking in education management. He explores big data solutions, interoperability in smart manufacturing, and conceptual knowledge discovery via information channels.

Nikos Ntarmosمشاهده پروفایل

مدرس ارشد

• Distributed Systems
• Big Data Management
• NoSQL Databases
• +۳ مورد دیگر

Nikos Ntarmos is a Senior Lecturer at the University of Glasgow's School of Computing Science, with affiliations to the IDEAS research lab. He holds a PhD in Computing Engineering & Informatics from the University of Patras and specializes in distributed systems and large-scale data management. Research focuses on: Distributed data storage and indexing for NoSQL systems Efficient query processing for graph databases Scalable algorithms for big data analytics Recommendation systems and collaborative filtering Publications demonstrate evolving interests from distributed hash tables to contemporary graph processing and recommendation systems. Recent work increasingly addresses practical applications in education technology alongside core database research.