جست‌وجوی استاد و پژوهشگر

Ben Wardمشاهده پروفایل

پژوهشگر ارشد

• Marine Biogeochemistry
• Plankton Ecology
• Ocean Modeling
• +۳ مورد دیگر

Dr. Ben Ward is a Principal Research Fellow at the University of Southampton's Ocean & Earth Science department. His research focuses on marine biogeochemistry, plankton ecology, and computational modeling of ocean systems. He leads several high-profile projects funded by the Royal Society and UKRI, including studies on mixotrophy impacts, trophic diversity, and Arctic ecosystem changes. Dr. Ward supervises four PhD students and collaborates internationally on projects like the BIOcean5D initiative. Key affiliations: Marine Biogeochemistry Research Group Active projects: 7 ongoing research initiatives His work bridges empirical field studies with advanced numerical modeling, emphasizing sediment archives and evolutionary mechanisms to improve climate projections. Recent publications address nutrient competition, diatom modeling, and microbial plasticity in response to environmental stressors.

• Multi-target Tracking
• Bayesian Filtering
• Sensor Fusion
• +۳ مورد دیگر

Professor Daniel Clark is a member of the University of Southampton's academic staff, specializing in multi-target tracking, Bayesian methods, and sensor fusion. His research focuses on advancing algorithms for aerospace systems, robotics, and statistical inference. He supervises PhD students in electronic engineering and is affiliated with the Vision, Learning and Control Centre for Robotics. His work bridges theoretical foundations with practical applications in tracking systems and cybersecurity. Recent contributions include advancements in covariance intersection, adversarial risk formulations, and sensor data fusion techniques. Research Interests: His expertise spans multi-object tracking, stochastic guidance systems, and information-theoretic bounds. He explores applications in maritime surveillance, robotics navigation, and secure algorithm design. Advising & Grants: Currently supervising Chuanhang Qiu (PhD in Electronics). His research has been published in top-tier journals like IEEE Transactions on Aerospace and Electronic Systems. Labs & Teams: Active member of the Vision, Learning and Control Centre for Robotics, contributing to interdisciplinary projects in autonomous systems and data fusion.

• Machine Learning
• Artificial Intelligence
• Distributed Optimization
• +۳ مورد دیگر

Professor Kin K. Leung is the Tanaka Chair Professor at Imperial College London, holding dual appointments in the Electrical and Electronic Engineering and Computing Departments. He leads the Communications & Signal Processing Group and has served as Deputy Director of the University Research Defence Centre. His research spans machine learning, quantum computing, wireless communications, and distributed systems. Leung earned a Ph.D. in Computer Science from UCLA (1985) and has held prestigious roles including IEEE Fellow (2001), Fellow of the Royal Academy of Engineering (2022), and Member of Academia Europaea (2012). Research interests include AI-driven network optimization, 6G cellular networks, and distributed quantum computing. He leads EPSRC-funded projects like TITAN Com Hub and HASC Com Hub, focusing on network-of-networks and all-spectrum connectivity. His work on federated learning, edge computing, and SDN resource management has been recognized through awards like the IEEE Communication Society Best Survey Paper (2022). Leung has over 30 years of industry experience at Bell Labs, AT&T, and Lucent, advancing wireless technologies. His funded projects include DAIS-ITA (U.S.-UK collaboration) and SmartEN for environmental sensing. He edits journals like ACM Computing Surveys and IEEE Transactions on Mobile Computing, contributing to both theory and application in communication networks.

Andrew Pomfretمشاهده پروفایل

مدرس ارشد

• Intelligent Systems
• Robotics
• Flight Control
• +۴ مورد دیگر

Dr. Andrew Pomfret is a Senior Lecturer in the Department of Electronic Engineering at the University of York. His research focuses on intelligent systems and robotics, with expertise in avionics, cognitive networking, and control engineering. He actively supervises PhD students in areas like fault-tolerant systems and multi-agent systems. His work spans robotics, control systems, and interdisciplinary applications in aerospace and environmental science. Education & Affiliations: Electronic Engineering (Lecturer, University of York) Research Interests: Flight control, evolutionary algorithms, structural reconfiguration, image processing, and robotics. His recent work emphasizes robotic swarm intelligence, cooperative transport systems, and eigenstructure assignment in control systems. Publications: His research explores topics like error diversity in robotic swarms, cooperative robotic communication, and helicopter handling qualities. Key areas include swarm task partitioning, multi-agent coordination, and control system optimization. Grants & Projects: Upscaling of greenhouse gas emissions from freshwater wetlands (NERC-funded, 2017–2019) SkyGas: Development of a new technique for determining watershed/airshed gas fluxes (NERC-funded, 2012–2013) Labs/Teams: Collaborates with research groups in robotics and control systems at the University of York, focusing on interdisciplinary projects involving autonomous systems and environmental monitoring.

• Microeconomic Theory
• Matching Theory
• Mechanism Design
• +۳ مورد دیگر

Jorgen Kratz is a Lecturer in the Department of Economics and Related Studies at the University of York. He holds a BSc from Linnaeus University, an MSc and PhD from Lund University. His research focuses on microeconomic theory, mechanism design, and matching theory, with applications to kidney exchange, college admissions, and object allocation. His recent work includes studies on conflicting objectives in kidney exchange systems and generalized cumulative offer processes. Teaching responsibilities include undergraduate courses on Mathematics for Economists and Information and Institution Design. He is currently on research leave during Semester 2 and can be reached via email for appointments. No scientific awards are explicitly listed in the provided texts. Research collaborations include scholars such as Tommy Andersson, Miki Shimoji, and others in the field of economic design.

Paul Harveyمشاهده پروفایل

مدرس

• Autonomous Systems
• Network Testing
• Federated Learning
• +۳ مورد دیگر

Dr. Paul Harvey is a Lecturer in Low Carbon and Sustainable Computing at the School of Computing Science, University of Glasgow. He specializes in autonomous systems, focusing on safe and meaningful fully-autonomous technologies for design and operation. His roles include co-chair of the UN’s ITU-T Focus Group on Autonomous Networks and visiting researcher at the University of Strathclyde. Industrial experience includes co-founding Rakuten Mobile Innovation Studio, emphasizing open and collaborative research. Research interests span autonomous networks, digital twins, federated learning, and edge computing. Recent work includes digital twin generation for network testing and task offloading strategies in edge-based systems. He actively contributes to standards development (e.g., OntoCommons) and blockchain-based trust frameworks for autonomous systems. His advising includes student Shijia Dong on software modularization using LLMs. Grants and collaborations are managed via his institutional profile. His lab focuses on cross-disciplinary projects at the intersection of networking, AI, and sustainability.

Nikela Papadopoulouمشاهده پروفایل

مدرس

• High-Performance Computing (HPC)
• Energy Efficiency
• Sustainable Computing
• +۳ مورد دیگر

Nikela Papadopoulou is a Lecturer (Assistant Professor) in Low Carbon and Sustainable Computing at the University of Glasgow's School of Computing Science. She is affiliated with the GLAsgow Systems Section and focuses on optimizing high-performance computing (HPC) systems for reduced environmental impact, including performance modeling, application optimization, and energy-efficient resource management. Her work also explores co-design strategies for machine learning workloads. Education: PhD in Electrical and Computer Engineering from National Technical University of Athens (NTUA). Postdoctoral research at Chalmers University of Technology (Sweden) and NTUA, contributing to European projects like ACTiCLOUD, EuroEXA, and HiDALGO. Member of ACM and HiPEAC. Research Interests: HPC systems optimization, energy efficiency in computing, sustainable computing practices, machine learning co-design, and parallel algorithm development. Teaching: Currently teaches Systems Programming (COMPSCI4081) and Internet Technology (COMPSCI5012) at the MSc level. Advising: Supervises Shuxuan Li on FPGA-based compiler transformations for sequence models. Active in grant-funded projects related to HPC and sustainable computing. Labs/Teams: Active contributor to the GLAsgow Systems Section, focusing on HPC and low-carbon computing innovations.

Nguyen Truongمشاهده پروفایل

مدرس

• Data Privacy
• Security
• Trust
• +۴ مورد دیگر

Dr. Nguyen Truong is a Lecturer in Cybersecurity at the School of Computing Science, University of Glasgow, UK. Previously, he held a Research Associate position at the Data Science Institute, Imperial College London (2018–2022). He earned his PhD, MSc, and BSc from Liverpool John Moores University (2018), Pohang University of Science and Technology (2013), and Hanoi University of Science and Technology (2008), respectively. Before academia, he worked as a Software Engineer at DASAN Networks (2012–2015). His research focuses on Data Privacy, Security, Trust, Personal Data Management, Distributed Systems, Blockchain, and Privacy in Federated Learning. Notable contributions include GDPR-compliance frameworks using blockchain and defeasible logic reasoning, as well as surveys on Ethereum pseudonymity and federated learning privacy. Teaching responsibilities include COMPSCI5079 Cryptography and Secure Development, COMPSCI4062/5063 Cyber Security Fundamentals, and COMPSCI5110 Emerging Topics in Cyber Security. He advises PhD student Omodolapo Victor Babalola on Robust Privacy-Preserving Federated Learning for securing IoT. His work spans over 25 peer-reviewed publications, including articles in IEEE Transactions and Elsevier journals. Key themes include blockchain-based trust systems, privacy preservation in distributed environments, and trust evaluation mechanisms in IoT and smart city applications.

• Remote Sensing
• Lidar Technology
• Forest Ecology
• +۳ مورد دیگر

Dr. Jacqueline Rosette is a Senior Lecturer in the Department of Geography at Swansea University, part of the Faculty of Science and Engineering. Her research focuses on remote sensing applications, particularly LiDAR technology for forestry and environmental monitoring. She has collaborated with institutions globally on projects involving biomass estimation, vegetation height analysis, and satellite data interpretation. Dr. Rosette teaches modules such as GEC140 Project and Field Methods and GEGM03 Drone Accreditation and Remote Sensing , emphasizing practical skills in geospatial data collection and analysis. Her research interests span lidar-based biomass assessment, forest parameter retrieval, and environmental remote sensing. She has supervised PhD students investigating topics like drone-based environmental monitoring, oak decline detection, and sea-level change impacts. Dr. Rosette's work has been published in journals like Global Change Biology , Remote Sensing of Environment , and Nature , showcasing her contributions to understanding forest dynamics and climate change impacts. Dr. Rosette is actively involved in academic supervision, co-supervising research on pathogen infection detection via hyperspectral reflectance and desertification in Iraq through geomatic approaches. Her teaching integrates fieldwork, data analysis techniques, and ethical considerations in geographical research. She also contributes to initiatives like the NASA Carbon Monitoring System and has developed curricula for drone remote sensing certifications aligned with Civil Aviation Authority standards.

• Mathematical Logic
• Theoretical Computer Science
• Blockchain Technology
• +۵ مورد دیگر

Professor Arnold Beckmann is a Professor of Computer Science at Swansea University, part of the Faculty of Science and Engineering, within the School of Mathematics and Computer Science. He previously served as Head of Department from 2014 to 2021. His research focuses on Mathematical Logic, Theoretical Computer Science, Blockchain Technology, and their applications in Industry 4.0. He leads initiatives such as the Zienkiewicz Institute for Modelling, Data and AI, the Grenoble-Swansea Centre for AI, and is involved in the Wales Data Nation Accelerator. He has led projects on hybrid AI for manufacturing supply chains, blockchain applications, and semantic technologies. Beckmann has been awarded the Leopoldina and Marie-Curie fellowships and has publications in areas including proof complexity, ontology engineering, and cybersecurity. He supervises PhD students in topics like blockchain licensing, smart contracts, and steelmaking analytics. His work bridges foundational theory with real-world industrial challenges. Education: PhD and Habilitation in Mathematics from University of Münster (Germany). Research Highlights: Over 60 publications, including work on bounded arithmetic, blockchain verification, and Industry 4.0 applications. Research interests include foundational logic, computational complexity, and applying these to manufacturing and smart systems. His work on semantic technologies integrates domain knowledge with machine learning for process optimization. Grants include EPSRC, Royal Society, and EU funding. Beckmann also co-leads the Swansea Blockchain Lab and contributes to global academic networks like The Proof Society.

Sandy Brownleeمشاهده پروفایل

مدرس ارشد

• Optimization
• Artificial Intelligence
• Metaheuristics
• +۷ مورد دیگر

Dr Sandy Brownlee is a Senior Lecturer in Computing Science and Mathematics at the University of Stirling, affiliated with the School of Natural Sciences. He leads the Data Science and Intelligent Systems research group and co-leads the AI Theme for SICSA. He is also a Visiting Fellow in Civil and Building Engineering at Loughborough University. His work focuses on explainable optimization techniques, metaheuristics (including evolutionary algorithms and estimation of distribution algorithms), fitness modeling, constraint handling, and decision support systems. Applications span civil engineering, healthcare, software engineering, and art. Education: BSc (Hons) in Computer Science (2005) and PhD in Multivariate Markov Networks for Fitness Modelling (2009), both from Robert Gordon University. Post-PhD roles included research at Loughborough University and industry experience in energy sector software engineering before joining Stirling in 2013. Research interests emphasize bridging optimization theory and real-world applications, with a focus on algorithm transparency and value-added insights. He has over 100 publications, including work on surrogate models, genetic improvement (GI), and XAI in evolutionary computation. Current roles include MSc program director for Artificial Intelligence and Big Data. His Erdos-Bacon number (8) reflects interdisciplinary reach, combining academic collaboration (3) with minor media appearances (5). He actively contributes to conferences, workshops, and public lectures on AI and optimization.

Kimberley Hardcastleمشاهده پروفایل

استادیار

• Responsible Artificial Intelligence
• AI Education
• Algorithms and Platforms
• +۵ مورد دیگر

Kimberley Hardcastle is an Assistant Professor in Business & Marketing at Newcastle Business School, Northumbria University (AACSB-accredited). Her research spans Responsible Artificial Intelligence, AI Education, Algorithms/Platforms, Societal Impacts of Emerging Technology, Branding, and Consumer Habits. She actively supervises PhD students and has contributed to sustainable marketing frameworks, AI's role in branding, and higher education consumer behavior. Responsible AI and Ethical Implications Digital Marketing and Consumer Behavior Higher Education Branding Her recent publications explore AI-driven customer experiences, brand value co-creation in education, and sustainable marketing strategies. Kimberley serves as an external examiner at Bournemouth University and is a reviewer for leading marketing journals. She was awarded Fellowship of the Higher Education Academy and frequently contributes to the World Advertising Research Centre (WARC). Fellowship of the Higher Education Academy Nominated finalist for Student Led Teaching Awards Kimberley leads the Branding module on the MSc Marketing Programme at Northumbria University and has trained SMEs through European Regional Development Funding. She organized the first AI Safety Summit in the North East in October 2023, focusing on responsible AI development aligned with UN Sustainable Development Goals. Her work emphasizes safeguarding and upskilling citizens in emerging technology adoption.

Haimeng Wuمشاهده پروفایل

استادیار

• Power Electronics
• Renewable Energy Systems
• Electric Vehicles
• +۵ مورد دیگر

Haimeng Wu is an Assistant Professor and Head of the Electrical Power and Control Systems at Northumbria University's Department of Mathematics, Physics, and Electrical Engineering. He leads the EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities (ReNU), a collaborative initiative with Newcastle and Durham Universities. Previously, he was part of Newcastle University's Electrical Power Research Group and served as a guest staff member in their School of Engineering. His research focuses on power electronics, renewable energy systems, wireless power transfer, and condition monitoring of wide bandgap (WBG) power modules. He has secured over £1.2 million in research funding, including grants from Innovate UK and The Royal Society. Wu is also an Associate Editor for IET Power Electronics and actively contributes to conferences like IEEE ECCE Europe and ISEEIE. Education: PhD in Power Electronics, Newcastle University (2012–2016) MSc in Hybrid Renewable Energy Distributed Generation Systems, Zhejiang University (2011) BEng in Electrical Engineering (2008) Research Interests: Design and control of power converters for electric vehicles and renewable energy networks Health monitoring and condition control of WBG power modules Wireless power transfer systems and their integration into IoT and smart energy systems His work aligns with UN Sustainable Development Goals, particularly in affordable and clean energy and industry innovation. Grants and Awards: £208,000 Innovate UK grant for a PV-powered outdoor lighting system (2025–2027) £316,000 Newton International Fellowship for IoT-integrated wireless power transfer (2024–2026) Siemens European Competition in Power Electronics (2018) Fellow of the Higher Education Academy (HEA) Advising and Teaching: Supervises four PhD students, as well as MSc and undergraduate students Develops courses in smart energy systems, renewable energy technologies, and analogue electronics His research has produced over 50 peer-reviewed publications and three patents, emphasizing industry collaboration and innovation.

Longzhi Yangمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۱۱ مورد دیگر

Longzhi Yang is a Professor at Northumbria University’s Department of Computer and Information Sciences, currently serving as Director of Education. He holds a PhD in Computing Science from Aberystwyth University (2011) and has extensive research experience in Artificial Intelligence, Robotics, Cybersecurity, and Manufacturing. His work emphasizes real-world applications under uncertain environments, supported by grants from EPSRC, Innovate UK, and industry partners. Research interests include Computational Intelligence, Machine Learning, Cybersecurity, Robotics, Planning/Scheduling, and Additive Manufacturing. Recent projects focus on energy storage systems, fuzzy logic control, and data-driven robotic systems. He has organized major conferences like the UK Workshop on Computational Intelligence and the IEEE ICMLA. Publications span topics such as reinforcement learning for EVs, fuzzy neural networks, and cybersecurity frameworks. Awards include the Best Paper Award at UKCI 2018 and 2016. He actively supervises PhD students and leads interdisciplinary initiatives like the COVER project for emergency response drones and 3D-printed furniture manufacturing. Education: PhD in Computing Science (Aberystwyth University, 2011) Funding: EPSRC, ESRC, Innovate UK, RAEng Grants: 4 active/funded projects including smart manufacturing and emergency response systems Labs/Teams: Involved in robotics, cybersecurity, and intelligent manufacturing research groups

Martins Obiمشاهده پروفایل

مدرس

• Additive Manufacturing
• Design for Additive Manufacturing (DfAM)
• Sustainable Manufacturing
• +۴ مورد دیگر

Martins Obi is a Lecturer in Engineering Systems & Supply Chain Management at the College of Engineering and Physical Sciences, Aston University. He specializes in Additive Manufacturing, Sustainable Production Systems, and Supply Chain Optimization. His research focuses on Agent-Based Systems, Circular Manufacturing, and Net Zero transitions. Education: BSc in Mechanical Engineering from Federal University of Technology Minna PG Cert (qualification not specified) MSc in Engineering and Management of Manufacturing Systems from Cranfield University PhD in Design for Additive Manufacturing from Loughborough University Research Interests: Obi’s work bridges advanced manufacturing technologies with sustainability goals. Key areas include: Design for Additive Manufacturing (DfAM) Circular Economy applications in polymer recycling Agent-based systems for dynamic production optimization Net Zero transition strategies for UK manufacturing sectors PhD Supervision: Currently recruiting candidates in: Agent-Based Systems in Centralised Systems Circular Manufacturing Ecosystems Supply Chain Ecosystems