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Graeme HawkerView profile

Lecturer

• Energy Systems Analysis
• Multi-Carrier Energy Modelling
• Whole System Modelling
• +12 more

Graeme Hawker is a Lecturer in Energy Systems at the University of Strathclyde, affiliated with the Department of Electronic and Electrical Engineering within the Faculty of Engineering. He is an active researcher with the UK Energy Research Centre (UKERC), contributing to national and local energy system analysis, particularly in the context of decarbonisation and multi-carrier energy networks. His work bridges technical modelling and policy engagement, with contributions to Scottish and UK energy strategies. His educational background includes a PhD in Electrical Engineering from the University of Strathclyde (2018), an MSc in Information Technology from the University of Glasgow (2003), a BA in Natural Sciences from the University of Cambridge (2002), and a BSc in Physical Sciences from the Open University (2013). He is a Chartered Scientist and Member of the Energy Institute. Graeme's research focuses on whole system energy modelling, multi-carrier networks (electricity, gas, hydrogen, heat), and the integration of renewable energy sources. He investigates low-carbon heating, energy storage, grid reliability, and machine learning applications for failure prediction. His work addresses critical challenges in achieving long-term carbon emissions targets through system-level analysis. The recent articles highlight a consistent focus on energy system flexibility, resilience, and integration. Topics include battery impacts on distribution networks, hydrogen's role in reducing renewable curtailment, and managing extreme weather effects on grids. These works reflect a strong emphasis on practical, policy-relevant research in the UK and Scottish contexts, with applications in smart grids, decarbonisation, and energy storage. Chartered Scientist Member of The Energy Institute Graeme Hawker has served as co-investigator and researcher on multiple funded projects, including EPSRC CDT in Future Power Networks, UKERC Phase 3, and the RESTLESS project on energy storage. He has contributed to policy outreach, including evidence submissions to the Scottish Parliament and UKERC responses on community energy. While no formal PhD students are listed, he is accepting PhD students and has supervised doctoral work as a supervisor on a completed thesis. He is involved in steering groups for sustainable heat transitions and collaborates widely across energy research networks. He is actively engaged in research teams within the UKERC and collaborates on projects related to resilient energy systems, smart grids, and sustainable heat. His GitHub profile indicates active software development for energy data analysis, including tools for GB energy data management and spectral analysis, reflecting a strong computational and data-driven research approach.

• Computer Vision
• Machine Learning
• Federated Learning
• +3 more

Shitong Sun is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. She teaches a postgraduate module on Deep Learning and Computer Vision , focusing on emerging applications and methodologies in this field. Her research interests center around federated learning, zero-shot learning, and computer vision applications such as image retrieval and action recognition, with a particular emphasis on decentralized systems and semantic knowledge transfer. Her work explores advanced techniques in distributed machine learning frameworks, including federated learning architectures and cross-modal retrieval systems. Recent research highlights include contributions to robustness benchmarking in text-image retrieval and innovative approaches to skeleton-based action recognition using adaptive topology structures. While no scientific awards are listed, her research output demonstrates engagement with cutting-edge topics in artificial intelligence and computer vision. There is no mention of current advising roles or grants, though her teaching and research activities align with the School's focus on electronic engineering and computational sciences.

Ferdinando SamariaView profile

Lecturer

• Decentralised Finance
• Machine Learning
• Computer Vision
• +3 more

Dr. Ferdinando Samaria is an Affiliated Lecturer at the Department of Computer Science and Technology, University of Cambridge. He holds a B.A. in Electrical and Information Science Engineering and a Ph.D. in Artificial Intelligence from Trinity College, University of Cambridge. His current research interests focus on decentralised finance, machine learning applications in finance, and smart software systems for the financial industry. His earlier work pioneered face recognition technologies using Hidden Markov Models (HMMs), contributing to biometric systems and computer vision advancements. Education: B.A. in Electrical and Information Science Engineering, Trinity College, University of Cambridge (1988) Ph.D. in Artificial Intelligence (Face Recognition), Trinity College, University of Cambridge (1994) Research Focus: Combines financial innovation with machine learning, exploring decentralized finance (DeFi) systems and intelligent software solutions. His foundational work in computer vision includes real-time gesture recognition, sensor systems (e.g., ORL active floor), and stochastic modeling for biometric identification. Teaching: Instructs the MPhil ACS, Part III course on "Digital Money and Decentralised Finance" at the University of Cambridge. Professional Experience: Spent over 20 years in investment banking roles, including founding Unicredit's investment bank in Milan and senior positions at Credit Suisse.

• Building Information Modelling (BIM)
• ICT in the built environment
• Child-friendly outdoor environments
• +4 more

Professor Lamine Mahdjoubi is Professor of the Built Environment at the University of the West of England (UWE Bristol), Faculty of Environment and Technology, Department of Architecture and the Built Environment. An architect and urban designer by training, he has gained international recognition for integrating advanced ICT solutions into the design, management, and visualisation of the built environment. Education & Qualifications: Qualified in Architecture and Urban Design (specific institutions and dates not provided in the text). Research Interests: Professor Mahdjoubi’s research focuses on the intersection of digital technologies and sustainable urban environments. He develops innovative methodologies and tools for analysing human–environment interactions, with particular emphasis on: Building Information Modelling (BIM) for design, construction, and operations; Virtual and immersive environments for collaborative design and stakeholder engagement; Child-friendly outdoor environments, linking urban design to public health outcomes; Heritage Building Information Modelling (HBIM) for retrofitting and conservation; Blockchain and machine-learning applications for decentralised energy management; Decision-support systems for brownfield redevelopment and risk assessment. Publication Trends: Across >100 peer-reviewed outputs, recent work (2020–2025) demonstrates a clear pivot toward AI and data-driven approaches in the built environment. A dominant strand couples BIM with machine-learning and VR/AR technologies to enhance design coordination, safety, and sustainability. Energy research increasingly integrates blockchain and large-language-model systems for smart grids. A second major strand addresses socio-environmental equity, producing evidence-based guidelines for healthy outdoor spaces for children and refugee communities. Scientific Awards & Recognition: While specific named awards are not listed, Professor Mahdjoubi’s international recognition is evidenced by: Membership of the Advisory Board, International Making Cities Livable (USA); Invited keynote speaker at numerous national and international conferences; Chief/External Examiner roles for universities in the UK and overseas; Founding Director of the pioneering Virtual Reality Enterprise Centre (VREC) at UWE Bristol. Research Funding & Teams: He has secured and directed major projects funded by: UK Engineering & Physical Sciences Research Council (EPSRC); British Academy; European Union Framework Programmes; Qatar National Research Fund (QNRF); Industry partners and local authorities. These initiatives have supported multidisciplinary teams spanning architecture, computer science, public health, and social policy. Laboratories & Centres: Professor Mahdjoubi founded and directed the Virtual Reality Enterprise Centre (VREC) , the first UK centre dedicated to knowledge exchange in visualisation and analysis of the built environment. The centre provides state-of-the-art VR/AR facilities for teaching, research, and industry collaboration.

Rafael CardosoView profile

Lecturer

• Multi-Agent Systems
• Multi-Agent Planning
• Neuro-Symbolic AI
• +13 more

Rafael Cardoso is a Lecturer in the Department of Computing Science at the University of Aberdeen, where he has been a faculty member since January 2022. He is affiliated with the Agents at Aberdeen (A³) research group and holds honorary senior research associate positions at the University of Liverpool and the University of Manchester. He is also part of the Autonomy and Verification Network. University: University of Aberdeen School: School of Natural and Computing Sciences Department: Department of Computing Science Role: Lecturer Additional Affiliations: Honorary Senior Research Associate (University of Liverpool, University of Manchester) Education: Bachelor of Computer Science, Universidade Franciscana (2012) Master of Computer Science, PUCRS (2014) PhD in Computer Science, PUCRS (2018) Rafael Cardoso's research lies at the intersection of multi-agent systems, formal verification, and autonomous systems. His work explores how intelligent agents can plan, coordinate, and adapt in complex environments—particularly in robotics and self-driving vehicles. He investigates hybrid AI approaches that combine symbolic reasoning with machine learning, and develops formal methods to ensure correctness and safety in agent behavior. His research includes runtime verification, ethical governance in agents, and integration of automated planning with BDI architectures. He is particularly interested in decentralised planning, goal allocation, and coordination mechanisms in multi-agent platforms. His recent publications span topics such as runtime verification frameworks (e.g., RVPLAN), safety enforcement in BDI agents, ethical governors, and hybrid AI for autonomous vehicles. The articles reflect a strong trend toward ensuring reliability, resilience, and verifiability in autonomous systems, with applications in industrial robotics, space systems, and intelligent transportation. Much of his work is grounded in practical implementations and competitions like the Multi-Agent Programming Contest. Scientific Awards and Recognitions: 1st place, Multi-Agent Programming Contest (2016) 4th place, Multi-Agent Programming Contest (2017) 2nd place, Multi-Agent Programming Contest (2018) 1st place, Multi-Agent Programming Contest (2019) 2nd place, Multi-Agent Programming Contest (2020/2021) Rafael Cardoso actively contributes to the academic community through service on program committees for major conferences such as AAAI, IJCAI, AAMAS, and ECAI. He has advised and contributed to numerous collaborative research projects, particularly in the areas of verification for space robotics and resilient multi-agent systems. He has led initiatives such as the Workshop on Agents and Robots for Reliable Engineered Autonomy (AREA) and has co-edited proceedings and special issues on autonomy and verification. He is involved in outreach and employability programs at the University of Aberdeen and serves as Director of Undergraduate Pathways in Computing Science. Labs and Research Groups: He is a core member of the Agents at Aberdeen (A³) research group, which focuses on agent-based systems, formal verification, and autonomous robotics. This group is part of the broader Autonomy and Verification Network, fostering interdisciplinary collaboration in trustworthy autonomous systems.

Gary PANView profile

Professor

• Accounting Information Systems
• Innovative Pedagogy
• Adult Learning
• +7 more

Professor Gary PAN is a full-time faculty member at the Singapore Management University (SMU), where he serves as Professor of Accounting (Education), Associate Provost for Lifelong Learning, and Associate Dean for Undergraduate Admissions and Student Development at the School of Accountancy. He previously held the position of Senior Lecturer in Accounting at the University of Melbourne, Australia. Education: Doctor of Philosophy (PhD) in Information Systems, University of Manchester, United Kingdom Master of Professional Accounting (MPA), Singapore Management University Bachelor of Business Administration (BBA) with Honors, National University of Singapore His research centers on Accounting Information Systems , with a strong emphasis on Innovative Pedagogy and Adult Learning . His work explores how digital transformation, data analytics, and project-based learning can enhance accounting education and professional readiness. He investigates the integration of technology in fraud detection, governance, and risk management within the evolving digital economy. His recent publications reflect a consistent focus on the intersection of accounting, education, and technology. Key themes include capstone course design , trust in fair value accounting and cryptocurrencies , forensic analytics , and university-industry collaboration . These works span journals in accounting education, information systems, and corporate finance, demonstrating interdisciplinary impact. Scientific Awards: Multiple teaching awards both locally and internationally Professor PAN has served as principal and co-principal investigator on multiple research grants, including funding from the Singapore Ministry of Education (MOE) through the Decentralised Gap Funding (MDGF), Academic Research Fund (AcRF) Tier 2, and Tertiary Education Research Fund (TRF), as well as grants from CPA Australia and ISCA. He advises on curriculum and workforce development through his roles on the ACRA’s Implementation Committee for Accountancy Workforce Development (ICAWD) and the Business Management Advisory Committee at Nanyang Polytechnic. He is actively involved in shaping accounting education and lifelong learning initiatives at SMU and beyond, contributing to strategic priorities in digital transformation and technology-enhanced pedagogy.

• Digital Built Environment
• Building Information Modelling (BIM)
• Heritage Building Information Modelling (HBIM)
• +6 more

David Heesom is a Professor of Digital Built Environment at the University of Wolverhampton's School of Architecture and Built Environment, Faculty of Science and Engineering. His career spans 20 years in academia, complemented by prior industry experience as an infrastructure engineer at Atkins and a Royal Academy of Engineering Industrial Secondment at Severn Partnership Ltd. Chartered Architectural Technologist (MCIAT) Fellow of the Higher Education Academy David's research focuses on digital technologies for architectural design, construction, and operation , including 4D/5D BIM, VR/AR integration, and HBIM for heritage conservation. He has pioneered methods for heritage building translocation and UAS applications in construction. His recent publications highlight trends in offsite construction , UAS integration , and smart city technologies , with a strong emphasis on practical implementation challenges and policy frameworks in global contexts (UK, Dominican Republic, Brazil). Chartered Member of Institute of Architectural Technologists (CIAT) Fellow Higher Education Academy, York, United Kingdom David has supervised research projects on 4D BIM simulations , safety management , and 5D costing , while securing grants for industry collaboration (KTP projects) and international research (British Council, Innovate UK). He leads courses in Architectural Design Technology and teaches modules like BIM Theory and Application and Visualisation Techniques for BIM.

• Inclusive education
• Special education
• Classroom management
• +4 more

Kristian Øen is Associate Professor of Pedagogy at NLA University College, Sandviken, Bergen. His research and teaching focus on inclusive education, classroom management, and special-education responses to challenging behaviour. Education: PhD (Philosophiae doctor), University of Bergen, 2023 – thesis on inclusion and challenging behaviour Master in Pedagogy with emphasis on Special Education General Teacher Education (Allmenlærerutdanning) Research interests: Øen investigates how schools can maintain inclusive environments when pupils display challenging behaviour. His work blends qualitative classroom studies with municipal governance analyses, emphasising the balance between emotional support and academic demands. Recent projects explore researcher–practitioner partnerships (e.g., the SUKIP innovation project) and teacher attitudes across European contexts. Publication trends 2021-2024: Fifteen peer-reviewed outputs centre on three intertwined strands: (1) micro-level classroom strategies for inclusion, (2) meso-level municipal leadership and school–psychology collaboration, and (3) theoretical lenses such as complementarity theory to critique contemporary schooling. The corpus is predominantly Norwegian with selective English-language articles in Frontiers in Education and European Journal of Special Needs Education . Scientific awards & grants: None listed in the supplied material. Advising & project roles: No named doctoral or master’s students are provided. Øen is affiliated with the University of Bergen’s special-education research group (www.uib.no/fg/spesped) and participates in nationally funded innovation projects on inclusive practice. Labs & teams: Research activities are conducted within interdisciplinary consortia linking NLA University College, University of Bergen, and municipal school owners.

• Mobile Computing
• Distributed Systems
• Decentralized Applications
• +4 more

Dr. Dimitris Chatzopoulos is an Assistant Professor (Ad Astra Fellow) at the School of Computer Science, University College Dublin. He holds a PhD from The Hong Kong University of Science and Technology and academic qualifications in Computer Engineering from the University of Thessaly, Greece. His research focuses on privacy-preserving systems, AI-driven decentralized applications, mobile computing, blockchain technology, and combating fake news. Education: PhD in Computer Science and Engineering, The Hong Kong University of Science and Technology (2013–2018) MSc in Computer Engineering and Communications, University of Thessaly, Greece Professional Diploma in University Teaching & Learning, University College Dublin Research Interests: Mobile and distributed systems Decentralized AI and blockchain applications Privacy-enhancing technologies Extended reality (XR) interfaces Metaverse infrastructure Awards & Recognition: Heidelberg Laureate Forum Participant (2017) Grants & Projects: "AI-enabled decentralized sensing for mobile and distributed systems" (2023–2026) "DIGITISE: Cross-sector services for societal empowerment" (2024–2027) Ad Astra Fellowship (2020–2027) Teaching & Supervision: Module coordinator for courses such as Blockchain & Decentralisation, Cloud Computing, and Python OOP PhD thesis supervisor

• Computer Vision
• Artificial Intelligence (AI)
• Distributed Ledger Technology (DLT)
• +5 more

John Collomosse is a Professor of Computer Vision and AI at the University of Surrey, leading DECaDE (UKRI/EPSRC Centre for the Decentralised Digital Economy) and the Centre for Vision, Speech and Signal Processing (CVSSP). He also serves as a Principal Scientist at Adobe Research, managing the Cross-Modal Representation Learning (XRL) group. His research focuses on AI, Distributed Ledger Technology (DLT), media provenance, and blockchain applications to combat misinformation and enhance data integrity. Collaborations include the Content Authenticity Initiative (CAI) and the ARCHANGEL project, which pioneered AI and blockchain for tamper-proof archives. He holds a PhD, is a Fellow of the IET, and has advised UK/EU bodies on digital economy policies. His work bridges academia and industry, with contributions to generative AI, watermarking, and decentralized systems. Publications span content authenticity, style transfer, and generative models. Awards include a 2024 prestigious fellowship. His labs include Surrey Institute for People-Centred AI (PAI) and DECaDE, fostering interdisciplinary research in AI ethics, provenance, and digital economy frameworks.

• Passive Radar Systems
• Signal Processing
• Sensor Networks
• +5 more

Nerea del Rey Maestre is an Assistant Professor in the Department of Signal Theory and Communications at the Universidad de Alcalá (UAH), Spain. She holds a PhD in Engineering from UAH (2018), focusing on Design and optimization of robust detection techniques in passive radar applications , supervised by Dr. María del Pilar Jarabo Amores and Dr. Manuel Rosa Zurera. Her research centers on intelligent passive radar systems, emphasizing clutter modeling, target detection, and surveillance applications. She leads the AES3 research group (Acoustic and Electromagnetic Smart Sensor Networks and Signal Processing), developing technologies for drone detection, ground traffic monitoring, and maritime surveillance using DVB-T/S, GPS, and SAR-based passive radar architectures. Her work spans signal processing innovations such as neural network-based CFAR detectors, planar antenna arrays, and decentralized radar processing frameworks. Key focus areas include non-coherent spatial integration, motion compensation for high-speed targets, and robust detection in non-homogeneous environments. Experimental validations include real-world scenarios like urban traffic imaging and coastal monitoring with TerraSAR-X and Sentinel-1 data. Her contributions address challenges in radar clutter characterization, Doppler shift compensation, and passive array optimization using commercial off-the-shelf (COTS) antennas. Ongoing projects involve the IDEPAR demonstrator for terrestrial radar surveillance and machine learning techniques for small boat detection in SAR clutter. Research funding has supported projects like the IDEPAR technological demonstrator and studies on PAZ satellite-based passive radar applications. Collaborations include multi-disciplinary teams tackling sensor network design, signal processing algorithms, and real-world deployment challenges in surveillance systems.

Max Van KleekView profile

Associate Professor

• Human-Computer Interaction
• Artificial Intelligence
• Privacy and Data Protection
• +5 more

Max Van Kleek is an Associate Professor of Human-Computer Interaction at the University of Oxford's Department of Computer Science, with a joint appointment as Governing Body Fellow at Kellogg College. He teaches courses on Interaction Design, Secure System Design, and Data Science within the Software Engineering Programme. His research focuses on expanding individuals' capabilities to understand and control personal data, particularly in IoT environments and smart homes. Education: PhD (MIT, 2011), MEng (MIT, 2003), SB (MIT, 2001). Prior industry roles included positions at PARC, IBM Research, Nokia, Sun Microsystems, and MIT Media Lab. Research Interests: Privacy empowerment, personal autonomy, decentralized data systems, behavioral psychology, and ethical AI. Current projects include the EPSRC-funded 'Respectful Things in Private Spaces' exploring IoT privacy in domestic settings. Publications highlight work on platform hegemony, smart home accountability (Aretha, IoT Refine), and user-centric privacy tools like X-Ray Refine. Collaborates closely with experts like Sir Nigel Shadbolt and Tim Berners-Lee on social machines and Web science. Advising: Supervises PhD students across HCI, privacy, and ethics. Active in Oxford's Equality & Diversity committees and the Oxford Blockchain Society. Serves on the Departmental Ethics Committee (DREC) to ensure responsible research practices. Labs/Teams: Leads the PETRAS-funded ReTIPS project and contributes to the SOCIAM initiative. Research groups focus on privacy-by-design architectures and data sovereignty solutions.

• Blockchain
• Decentralisation and decentralised systems
• Peer-to-Peer (P2P) computing
• +7 more

Mariusz Nowostawski is a Professor at the Norwegian University of Science and Technology (NTNU), leading the Bachelor in Programming study program and directing the Decentralised Systems Engineering Lab. His research focuses on self-organising systems, adaptive/autonomous computation, peer-to-peer systems, and decentralisation technology, including blockchain systems like Bitcoin, Ethereum, and Lightning Network. Expertise in blockchain governance and cross-chain decentralised autonomous organisations (DAOs) Specialises in self-sovereign identity systems and privacy-preserving infrastructure Collaborates with Europol on cryptocurrency anonymity and privacy research Industry experience with Sun Microsystems and Oracle His recent publications address blockchain consensus evolution, decentralised identity management, and privacy-preserving techniques. Key themes include decentralization, peer-to-peer networks, and applications in healthcare and pandemic management. Research trends highlight a focus on cross-chain interoperability, self-sovereign identity challenges, and blockchain-based solutions for healthcare and cybersecurity. He explores technical aspects like Lightning Network optimization and governance dynamics in Bitcoin and DAOs. As an educator, he teaches programming, peer-to-peer systems, distributed/decentralisation technologies, and blockchain. Personal interests include rock climbing, paragliding, and long-distance running.

• Environmental microbiology and biotechnology
• Antimicrobial resistance (AMR)
• Anaerobic digestion
• +6 more

Dr. Bing Guo is a Professor of Environmental Engineering and Microbiology at the University of Surrey, affiliated with the Department of Civil and Environmental Engineering and the Institute for Sustainability. She holds roles such as Programme Lead for Water Innovation and Sustainability and CEE UG Admission. Her expertise spans environmental biotechnology, antimicrobial resistance (AMR), anaerobic digestion, and microbial ecology. Dr. Guo earned a PhD and MEng from McGill University and a BEng from Beijing Normal University. She leads multiple research projects funded by EPSRC, BBSRC, and NERC, focusing on wastewater treatment, AMR mitigation, and sustainable biotechnology. Education: PhD in Civil Engineering (McGill University), MEng in Civil Engineering (McGill University), BEng in Environmental Engineering (Beijing Normal University). Research emphasizes transforming wastewater treatment into energy-producing processes and mitigating AMR spread. Key projects include FarmAD-AMR (AMR control in farm waste) and Wastewater AMR tracking (environmental AMR dynamics). Awards: 2023 Fellowship of the Higher Education Academy (FHEA). Supervises six PhD students and collaborates with water companies and biogas industries. Active in editorial roles for journals like Frontiers in Microbiology and organizes conferences on anaerobic digestion and environmental biotechnology. Labs/Teams: Leads research groups on microbial ecology, anaerobic digestion, and AMR. Collaborates internationally via projects like the NSF-funded Water-Energy-Food Nexus initiative. Her work bridges academia, industry, and public health for sustainable solutions.

Loraine ClarkeView profile

Lecturer

• Human Computer Interaction
• Design Research
• Tangible Interaction
• +5 more

Loraine Clarke is a Lecturer in the School of Computer Science Institute of Engineering at the University of St Andrews. Her research focuses on Human-Computer Interaction (HCI), design research, and tangible interaction, with an emphasis on sustainable technologies and community empowerment. She holds a PhD in HCI from the University of Strathclyde, where she studied social interaction at museum exhibits. Key research interests include tangible physical interaction, decentralised digital futures, and participatory design. She leads projects like Decentralising Digital , co-creating narratives for rural Indian communities to challenge dominant tech narratives, and Our Friends Electric , advocating for ethical voice-enabled internet practices with Superflux and Mozilla. Her teaching includes CS5041: Interactive Software and Hardware (prototype development) and CS5042: User-Centred Interaction Design . She actively collaborates with global institutions and invites PhD applications in sustainable design and tangible interaction. Loraine’s work contributes to UN Sustainable Development Goals, emphasizing equitable technology and environmental stewardship through design research.