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Sir Andy Hopper is a Professor and Head of the Digital Technology Group within the Computer Laboratory at the University of Cambridge. He is a Fellow of Corpus Christi College, Cambridge. His research focuses on creating a world where everything is always connected in a personalized way and developing sentient computing systems that observe the real world to ensure planetary sustainability. His research interests span ubiquitous computing, sentient computing, distributed systems, computer networking, green computing, and provenance systems. He has pioneered work in location-aware systems, energy-efficient computing, and provenance in distributed environments. His vision extends computing to automatically adapt to real-world conditions for sustainable solutions. Recent publications indicate a strong focus on provenance systems, data reliability in cloud environments, and the integration of renewable energy in datacentre computing. His work often involves collaboration with researchers at the University of Cambridge and beyond, addressing challenges in virtualization, MapReduce, and resource accounting. Professor Hopper leads the Digital Technology Group, which is part of the Computer Laboratory. The group conducts cutting-edge research in networking, systems, and sustainable computing, contributing to both theoretical advances and practical applications in the field.

• Ubiquitous Computing
• Sentient Computing
• Distributed Systems
• +3 more

Max Dovey is a Lecturer in Brand Experience Design & Emerging Technology at the University of the Arts London, and a Visiting Lecturer at institutions such as Royal College of Art and Anglia Ruskin University. His practice explores computation through live, performative, and embodied art, informed by feminist techno-science and posthuman discourses. Lecturer in Brand Experience Design & Emerging Technology (UAL, 2019–2022) Pathway Leader - MAFA Computational Arts (UAL, 2021–present) Visiting Lecturer (Royal College of Art, 2019–2021) Visiting Lecturer (Anglia Ruskin University, 2018–2019) Researcher (Institute of Network Cultures, 2015–2016) His research investigates 'liveness' in human-computer interaction and the geological materiality of technology. Notable projects include The Treaty of Finsbury Park 2025 (2022) and Cologne, What is Your Mother's Maiden Name? (2019), which employ psychogeography, blockchain, and interspecies politics. Recent publications include State Machines (2019) and Flying Money (2018). He has co-edited symposiums on technology and finance, including MoneyLab, and presented at festivals like Ars Electronica.

• Digital Art
• Human-Computer Interaction
• Posthumanism
• +3 more

Michael Crang is Professor in the Department of Geography at Durham University, where he previously served as Head of Department (2014-2017) and Director of Research. His research spans cultural geography, tourism studies, waste economies, and urban governance, with projects including ESRC-funded 'The Waste of the World' and Vetenskapsrådet-supported 'Re:heritage'. He co-edits major reference works like the International Encyclopaedia of Human Geography (CHOICE Outstanding Academic Title 2010) and journals including Tourist Studies . Research interests focus on: Cultural geographies of memory, heritage, and identity Global recycling networks and waste transformations Ethical consumption and agri-food systems Urban technologies and sentient cities Visual methodologies and digital geohumanities His publications demonstrate consistent focus on material cultures, spatial justice, and transnational flows, with recent work examining Chinese urbanization, ethical consumption, and logistical systems. Key theoretical contributions include reconceptualizing commodity cycles and analyzing the temporal-spatial politics of waste. Awards include the CHOICE Outstanding Academic Title for co-editing the International Encyclopaedia of Human Geography . He serves on scientific committees including Societa Italianá di Scienze del Turismo. Currently supervises 10 PhD students researching topics from Chinese tourism to rural governance. Leads AHRC/ESRC projects on counterfeit economies and sustainable consumption. Associated with Durham's Centre for Visual Arts and Cultures and Leverhulme Doctoral Programme.

• Cultural Geography
• Social Memory and Identity
• Tourism Studies
• +7 more

Dr. Christopher Town is an Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge. He holds dual roles as Bye Fellow and Director of Studies in Computer Science at Jesus College and as a Fellow and Tutor at Wolfson College. His research focuses on bridging the semantic gap between human and machine interpretation of visual data through ontology-based frameworks, with applications in image retrieval, automated surveillance, and biological pattern analysis. Notable contributions include the development of tools like Manta Matcher for marine species identification and algorithms for egg pattern recognition in evolutionary biology. Dr. Town earned his PhD in Computer Science from the University of Cambridge, supported by an Industrial Fellowship from the Royal Commission for the Exhibition of 1851. His academic journey includes pre-doctoral research at AT&T Labs and undergraduate studies at Trinity College, Cambridge. He has supervised over 60 student projects, lecturing courses in Machine Visual Perception and Computer Vision. Awards include the BCS Distinguished Dissertation Award (2005) and recognition for best papers in computer vision and bioinformatics. His interdisciplinary work spans computer science, ecology, and medicine, with publications in journals like Nature Ecology & Evolution and IEEE transactions. He actively promotes academic mentorship through initiatives like the PhD Mentoring Scheme at Wolfson College. Current research explores reproducibility in GANs and the application of deep learning to ecological and medical imaging challenges.

• Computer Vision
• Ontology-Based Image Analysis
• Machine Learning
• +4 more

Dr. Tjeerd V. olde Scheper is a Professor and Research Lead in Computing at the School of Engineering, Computing, and Mathematics, Oxford Brookes University. He specializes in Dynamic Systems and Neurocomputation, focusing on biological problem-solving mechanisms and their applications in engineering, health, and medical fields. His notable contributions include the Rate Control of Chaos (patented) for stabilizing complex systems and Criticality Analysis for machine learning and biological data analysis. He leads the UG Computing Programmes and supervises PhD/MSc students in biomodelling and AI. Education: Holds MSc and PhD degrees in relevant disciplines (details unspecified). Active in research grants including DASA (£90k, 2020), Newton Fund (£97k, 2018), and multiple HEIF grants. Collaborates with institutions globally through projects like CARDIGAN (diabetic gait analysis) and [SENTIENT] (intelligent decision support). Research interests span bio-inspired control systems, nonlinear dynamics, and AI applications in healthcare. His work bridges computational models with real-world challenges in robotics, biomedical engineering, and environmental control (e.g., wind turbines, combustion engines). He contributes to interdisciplinary groups like CAVEPET, VAIL, and the Machine Learning & Robotics Group. Grants/Awards: Secured £90k+ from DASA and £97k+ from the Newton Fund. HEIF grants for wind turbine and engine control projects (2011–2012). Member of AAAS, IEEE, and neuroscientific societies. Consultancy roles include workshops on AI for diabetes and neural networks. Advising & Labs: Supervised Salman Khan (2023). Affiliated with CAICS, MOReS, DASOBU, and AIDAS. Leads projects like Map-to-Human Research Roadmap (NASA-funded, 2024–2026), emphasizing applied AI and movement science.

• Dynamic Systems
• Neurocomputation
• Biological Systems Modeling
• +3 more

Dr. Spyros Samothrakis is a Senior Lecturer and Chief Scientific Adviser at the School of Computer Science and Electronic Engineering, University of Essex. His primary roles include academic research and advisory work in artificial intelligence and machine learning. He holds a PhD in Computer Science from the University of Essex, an MSc in Intelligent Systems from the University of Sussex, and a BSc in Computer Science from the University of Sheffield. His research focuses on Reinforcement Learning (RL) , Machine Learning (ML) , Neural Networks , and Role-Playing Games (RPGs) . He explores applications in areas like causal inference, game theory, and supply chain management. Recent work includes developing frameworks for automated cost estimation in games and analyzing AI agents in complex socioeconomic systems. Notable contributions include studies on self-play algorithms, causal structure learning, and the societal implications of AI. His articles span topics from neurocontrol optimization to ethical considerations in AI deployment. Dr. Samothrakis advises PhD students in computer science and has supervised research on causal effect estimation, memory-driven exploration, and text generation. He has secured grants from organizations like the Alan Turing Institute and the ESRC for projects involving AI in micro-social change and data-driven decision-making. His collaborations extend to industry partners such as the National Theatre and NHS Trusts, applying AI to healthcare and cultural data analysis. He actively contributes to conferences and publishes in top-tier journals like Neural Networks and IEEE Transactions .

• Reinforcement Learning
• Machine Learning
• Neural Networks
• +3 more