Farooq Azam is a Research Fellow at the Department of Mechanical Engineering , University College London , focusing on Modelling and Optimisation of Sustainable and Smart Technical Textiles . He works in the Roberts Engineering Building, London, United Kingdom (WC1E 7JE). Research Interests: Architected materials, Metamaterials, Additive manufacturing, Structural Imaging, Structural optimisation, AI/Machine Learning, Applied Mechanics, Mechanics of Materials Email: farooq.azam.20@ucl.ac.uk Recent Research Trends : His work spans additive manufacturing applications in biomedical components, structural optimization of architected materials, turbulence modeling in engines, and machine learning-driven metamaterial design. Key areas include Ti6Al4V scaffolds, hexagonal honeycomb configurations, and carbon microlattices. Scientific Awards : FHEA (Fellowship of the Higher Education Academy), 2024 Teaching : He has taught modules such as Group Manufacturing Challenges (MECH0099) , Micro/Nano Architected Composite Materials (MECH0096) , and Elasticity and Plasticity (MECH0026) at UCL.
Martijn Mes is a full professor of Transportation and Logistics Management and chair of the Industrial Engineering & Business Information Systems section at the University of Twente, Netherlands. He leads research and education initiatives that integrate AI, simulation and optimisation into logistics and supply-chain innovation. Education: Ph.D. in Operations Research, University of Twente – 2008 M.Sc. in Applied Mathematics, University of Twente – 2002 Post-doctoral researcher, Princeton University, Dept. of Operations Research & Financial Engineering Research focus: Mes develops quantitative models and AI techniques for strategic, tactical and operational logistics challenges. His work spans three application pillars: Emergency & humanitarian logistics – rapid relief distribution with trucks and UAVs Urban logistics – city distribution, self-organising systems and last-mile innovations Sustainable logistics – synchromodal transport, green ports and electric/autonomous fleets Methodologically he combines approximate dynamic programming, reinforcement learning, multi-agent simulation, discrete-event simulation and stochastic optimisation to create decision-support tools for industry and government. Publications trend: Recent articles (2025-2022) exhibit a strong emphasis on integrating reinforcement learning and stochastic optimisation into dynamic vehicle routing, drone-assisted delivery and post-disaster inventory allocation, signalling a shift towards data-driven, real-time logistic systems. Grants & projects: Mes has coordinated and participated in numerous national and European projects on sustainable logistics, urban distribution, port optimisation and healthcare logistics, frequently collaborating with industry partners and public bodies. Teaching & supervision: He coordinates and lectures in the BSc and MSc programmes Industrial Engineering & Management, offering courses on simulation, queueing theory, dynamic programming, Markov chains, transportation management and technology management. He has authored a widely used Plant Simulation tutorial and supervises PhD candidates working on AI-driven logistics, autonomous vehicles and digital twins.
Dr Long Wu is a Senior Research Fellow at the University of Southampton specializing in aeroacoustics and computational fluid dynamics, with research focused on high-order numerical methods and design optimization for noise reduction in aerospace systems including aeroengines and turbomachinery. Holding a PhD and BEng degree, his work centers on computational techniques for simulating and mitigating aircraft engine noise through high-fidelity simulations and adjoint-based optimization of fan and compressor components. Key research areas include boundary closure stability, tone noise propagation, and nonlinear acoustic effects in engine intakes. His 2018-2024 publications demonstrate consistent expertise in computational aeroacoustics, bridging theoretical numerical methods with practical noise control solutions for turbomachinery. Recent work emphasizes stable high-order schemes and optimization frameworks for reducing buzz-saw noise and improving aerodynamic-acoustic performance. As a member of the University's Acoustics Group, Dr Wu supervises PhD student Joseph Stephen Paul Binns on aeroengine noise propagation and accepts new PhD applicants. No scientific awards or research grants are documented in his current profile.
Dr Benjamin Cerfontaine is an Associate Professor in Geotechnical Engineering at the University of Southampton. His research focuses on geotechnical solutions for offshore renewable energy infrastructure, particularly floating and bottom-fixed offshore wind turbines. He specializes in numerical and physical modeling techniques such as finite elements, DEM, and centrifuge testing, aiming to uncover fundamental mechanisms governing foundation behavior. Education: PhD in Geotechnical Engineering from the University of Liège (2014), followed by postdoctoral research at the University of Dundee (2017–2020). Research Interests: Offshore renewable energy systems, constitutive modeling of geomaterials, and innovative anchoring solutions. Projects: Leads the ROBOCONE and TAILWIND projects, focusing on robotic ground characterization and sustainable anchor designs. Key achievements include the Geotechnical Research Medal (2023) and the Bright Spark Lecture Award (2023). He supervises three PhD students and actively collaborates with industry partners on offshore energy infrastructure. Dr. Cerfontaine is part of the Infrastructure Group and the Southampton Marine and Maritime Institute, contributing to interdisciplinary research on ocean energy and coastal communities.
Sven Schewe is a Professor in the Department of Computer Science at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science. He leads the AI Section and is a founding member and former leader of the Verification Group. He also has secondary affiliations with the Algorithms, Complexity Theory and Optimisation Group and the Institute for Risk and Uncertainty. Research Interests: His research centers on automata theory and game theory, particularly their applications in the verification and synthesis of reactive and safety-critical systems. He investigates infinite-duration games, automata over infinite words and trees, and develops algorithms and tools for automated verification, synthesis, and learning of optimal control strategies. His work extends to reinforcement learning with formal guarantees, cyber-physical systems, and AI safety. Recent Research Trends: His recent publications demonstrate a strong integration of formal methods with machine learning, particularly in adversarial training, neural network robustness, and model-free reinforcement learning under omega-regular objectives. He also applies formal reasoning to interdisciplinary domains such as chemical space exploration and materials science. Scientific Awards: Finalist for the ERCIM Cor Baayen Award 2010 Dr. Eduard Martin Preis 2009 GI Dissertation Award 2008 Advising and Grants: He actively supervises numerous PhD students and postdoctoral researchers. He is Principal Investigator (PI) or Co-Investigator (CI) on multiple major grants, including EPSRC Programme Grants, Royal Society Fellowships, and Horizon Europe projects. His funded research spans topics such as game theory, verification, synthesis, reinforcement learning, and risk analysis. He has hosted visiting researchers and collaborated internationally with institutions in Germany, France, India, Taiwan, and the US. Labs and Teams: He co-founded and led the Verification Group and previously led the AI Section at the University of Liverpool. These groups focus on formal methods, automata, games, and their applications in AI and safety-critical systems.
Rosario Ceravolo is a Full Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin , where he conducts cutting-edge research in structural dynamics, earthquake engineering, and structural health monitoring with a focus on architectural heritage. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and the University Quality Assurance Committee, reflecting his leadership in academic and research governance. His research interests include: Dynamic identification of structures Seismic assessment and protection of cultural heritage Structural health monitoring (SHM) Natech (natural-technological) risk Earthquake engineering and structural control His recent publications demonstrate a strong trend toward integrating advanced computational techniques, satellite data, and experimental monitoring for assessing historical and modern structures. Key themes include modal tracking, digital twinning, ferrocement durability, and data fusion for heritage conservation. His work bridges civil engineering and heritage science, often involving interdisciplinary collaborations. Scientific Awards and Recognitions: Keeping it Modern Implementation Grant, Getty Foundation (2019) Fellow, ICOMOS (2024–) Fellow, ISCARSAH (2014–) Fellow, American Society of Civil Engineers (1999–) Evaluator, Rita Levi Montalcini Program (2018) Advising and Grants: He supervises multiple PhD students in architectural and civil engineering programs and leads several major research initiatives, including EU-funded and national projects such as REcube (Erasmus+), OPTIMISE, SAT4SHM, and CAMELOT. He serves as Scientific Director for numerous research contracts with public and private institutions, including long-term monitoring projects at the Vicoforte Sanctuary and Torino Esposizioni. Research Labs and Teams: He leads activities in the Dynamics and Seismic Laboratory (DISEG) and is involved in research networks such as ICOMOS-ISCARSAH and IASS-WG17, fostering international collaboration in structural analysis and heritage conservation.
Erik Ahlgren is Professor of Energy Technology at Chalmers University of Technology, Sweden. His research centres on energy-system transitions across scales, integrating techno-economic and systems-dynamics modelling to address urban and rural energy challenges in both Nordic and East African contexts. Research focus Energy-system transitions connecting technology, economy and environment Urban energy systems and sector coupling Rural electrification and mini-grid planning in East Africa District heating and cooling futures Clean cooking with biogas He leads or co-leads 25 projects funded by the Swedish Energy Agency, Swedish Research Council (VR), SIDA, the EU and other bodies, and collaborates closely with Addis Ababa University, University of Rwanda and Eduardo Mondlane University. Teaching & outreach Responsible for the public digital evening course Climate – the science, measures and policy . Grants & projects Buildings in the integrated energy system (2024–2028, Swedish Energy Agency) A multiperspective analysis of cost-efficient batteries in rural mini-grids (2023–2026, VR) PhD Programme in Electrical Power and Control Engineering with Addis Ababa University (2018–2025, SIDA) BREEMRES – research training partnership programme (2018–2025, SIDA) Flexibility for Smart Urban Energy Systems (FlexSUS, 2019–2024) Collaborations & networks Active in international consortia including the Strategic Research Centre for 4th Generation District Heating (4DH), FutureGas, and numerous East African capacity-building initiatives.
Dr. Bogdan Roman is a Senior Researcher in the Centre for Mathematical Imaging in Healthcare at the Pure Mathematics department and a Visiting Research Fellow at the Computer Science and Technology department, both at the University of Cambridge. He chairs the Computer Science Admissions Test (CSAT) and coordinates the Cambridge Imaging Clinic. Research Areas : Compressed Sensing, Signal Processing, Sampling Theory, Inverse Problems, Computational Mathematics, Medical Imaging, Wireless Networks His work on compressed sensing has driven advancements in MRI resolution and sub-50nm Scanning Helium Microscopy (SHeM), funded by EPSRC. Collaborations include Siemens (MRI validation), Cambridge Radiology, and industrial partners. He has contributed to breaking the coherence barrier in imaging and developed scalable wireless access control systems. Scientific Awards : Rosetrees Interdisciplinary Prize 2016 nomination, 2nd Place at Microsoft Research Workshop 2007 He lectures Part IA Numerical Analysis and co-lectures Part III courses on Sampling and Compressed Sensing. His tools include a high-speed C++ MEX Hadamard transform and MacOH stress-testing software. His publications span mathematics, physics, and computer science disciplines.
Rakesh Nandi is a Research Fellow at the Aviation Studies Institute (ASI) of Singapore University of Technology and Design (SUTD). He previously held a research fellowship under Dr. Shrutivandana Sharma at the Engineering Systems and Design (ESD) school at SUTD. His work focuses on optimizing and analyzing air traffic networks, with projects such as Network Capacity and Network Collaboration under Professor Peter Jackson. Rakesh earned his Ph.D. in Mathematics from National Institute of Technology Raipur (2020) and an M.Sc. in Applied Mathematics from Guru Ghasidas University (2013). His research interests span queueing systems , stochastic modeling , numerical optimization , and network modeling/scheduling . He collaborates on projects requiring advanced computational and analytical methods for discrete-time queueing systems. His recent publications (2018–2022) emphasize queueing theory applications, stochastic processes, and optimization in discrete-time systems. Key topics include D-BMAP/G/1 queues, GI/D-MSP queue analysis, and N-policy control strategies. While no scientific awards are listed, Rakesh demonstrates active research in operations research and applied mathematics. He has no documented advisees or grants mentioned. He contributes to interdisciplinary teams at ASI and ESD, focusing on aviation systems and network efficiency.
Prof. Dr.-Ing. Stefan Lechner has been full Professor of Energy Economics and Energy Systems at the Technical University of Central Hesse (THM) , Giessen, since March 2015. He is affiliated with the Department of Mechanical Engineering and Energy Technology and the Institute THESA – Institute of Thermodynamics, Energy Process Engineering and Systems Analysis . Additionally, he leads the Laboratory for Energy Economics and is a core member of the Competence Center for Energy Technology and Energy Management (etem.THM) . Education & Career Dr.-Ing., Brandenburg University of Technology (BTU) Cottbus, 2012 – Dissertation on steam-fluidized-bed drying of lignite. Dipl.-Ing. (FH) Mechanical Engineering, Georg Agricola University of Applied Sciences Bochum, 2002 – specialising in Future Energies. Supplementary doctoral studies & economics coursework at BTU Cottbus and FernUniversität Hagen. Professional experience at Vattenfall (plant management, power-plant planning & R&D) and Kreisel Umwelttechnik (Head of Development) before entering academia. Research Interests Prof. Lechner’s work centres on the techno-economic analysis and optimisation of energy systems in transition . Core themes include renewable energy integration , thermal energy storage (particularly Carnot batteries using ceramic high-temperature stores), sector coupling between electricity, heat and mobility, and 5th-generation cold district-heating networks (5GDHC). Methodologically, he combines experimental thermal engineering with open-source simulation frameworks , agent-based demand modelling , and electricity-market modelling . Recent activities expand into waste-heat recovery from data centres and transcritical CO₂ heat-pump systems for low-temperature district heating, always targeting cost-effective, grid-friendly and sustainable solutions . Publication Trends Between 2017 and 2024 his output highlights a clear evolution from fundamental studies on pressurized steam fluidized-bed drying and lignite heat-transfer toward system-level analyses of storage-based sector coupling . A dominant cluster addresses Carnot batteries , covering high-temperature storage materials, gas-turbine re-conversion concepts, and demonstration results. Parallel streams examine GIS-based rooftop PV potential , agent-based settlement energy-demand modelling , and regulatory frameworks for cross-sector energy markets. Scientific Awards & Honours No specific awards are mentioned in the provided material. Research Funding & Teams Prof. Lechner has secured and coordinates projects worth > €10 million (THM share ≈ €6.5 million) funded by BMBF, BMWK/BMWi, Hessian ministries (HMWK, HMWEVW), WI-Bank and ERDF : LOEWE 3 DUWä (2025-2027) – transcritical CO₂ dual-use heat pumps for cold district heating. EnEff:Stadt FlexQuartier2 (2023-2027) – hybrid storage optimisation in Giessen’s Philosophenhöhe district. KNW-Plus (2022-2023) – design & online tool for cold local heating networks. Innovative waste-heat use from data centres (2022-2023). FlexQuartier Gießen (2018-2023) – integrated hybrid storage & sector coupling in a new-build district. Kommun:E (2018-2022) – municipal energy-supply transformation under Germany’s Energiewende. High-T-Stor (2017-2019) – cross-sector high-temperature storage for renewable balancing. FES (2019-2021) – Research Center for Energy Storage and Sector Coupling. These projects involve interdisciplinary consortia including municipalities, grid operators, SMEs, and research partners across Germany. Teaching & Academic Leadership He lectures in Energy Economics and Sector Coupling, Energy Markets, Heat Transfer, Renewable Energy Technology and Energy System Analysis . He also serves as Programme Manager for the part-time continuing-education M.Sc. Energy Efficiency Management (StudiumPlus, Wetzlar) and contributes to advanced master’s courses on energy law and thermodynamics.
Payam Khazaeinejad is Associate Professor of Solid Mechanics at Kingston University London, where he also serves as School Director of Learning & Teaching and leads the IMechE-accredited Monitored Professional Development Scheme. A Chartered Engineer & Scientist, he is Senior Fellow of Advance HE, Fellow of IMechE, Senior Member of AIAA and sits on multiple national boards including IMechE Council and EPSRC Peer Review College. Education & Continuous Development PhD Engineering, University of Edinburgh (2016) MSc Mechanical Engineering – Applied Mechanics (2006) BEng Mechanical Engineering – Solid Mechanics (2004) MIT Professional Education – Machine Learning for Materials Informatics (2024) Chartered Manager Bootcamp, CMI Level 5 Diploma (2023) Certificate in Innovation in Teaching, Laspau/Harvard (2021) Chartered Engineer & Chartered Scientist status (2021, 2024) Research Interests His research integrates computational solid mechanics with bio-inspired design to create architected materials and structures that are lightweight, adaptive and resilient. Using high-fidelity finite-element and discrete-element modelling he investigates failure mechanisms under extreme thermomechanical environments, with applications spanning pharmaceutical tablet compaction, biomedical scaffolds for bone regeneration, floating solar-panel arrays, fire-exposed steel plates and subsea riser systems. Across 50+ peer-reviewed works he has advanced analytical solutions for functionally graded shells, nonlinear thermo-elastic plates, vibration of micro-composite skew plates and efficient riser elements, while recent outputs concentrate on additive-manufactured aerospace mounts, 3-D printed biodegradable scaffolds and data-driven engineering curricula. Honours & Recognition Provost's Award for Learning & Teaching Excellence 2025 Enterprising Value Award, Kingston People Awards 2024 Senior Fellow, Advance HE Fellow, Institution of Mechanical Engineers Senior Member, AIAA Chartered Engineer & Chartered Scientist (UK Engineering & Science Councils) Leadership & External Examining He is Chief External Examiner at UWE Bristol (2024-present) and External Examiner at Manchester Met and University of East London, having served on programme-revalidation panels nationwide. At Kingston he directs learning & teaching for the School of Engineering, chairs the IMechE Structural Technology & Materials Group, and founded the Engineering Simulation Group.
Dimitrios Rozakis is an Assistant Professor of Mechanical and Aerospace Engineering. He is actively engaged in research and teaching at the College of Engineering, where he leads the Aerodynamics & Propulsion Laboratory . Education PhD in Aerospace Engineering, National Technical University of Athens (2012) MSc in Fluid Mechanics, University of Manchester (2008) Diploma in Mechanical Engineering, Aristotle University of Thessaloniki (2006) Research Interests His research spans computational and experimental aerodynamics , with particular emphasis on: Transonic and supersonic flows Flow control using plasma actuators Hypersonic boundary-layer transition Reduced-order modelling and machine-learning techniques Turbomachinery aerodynamics Recent work has focused on high-fidelity simulations of buffet phenomena, experimental investigations of plasma-based separation control, and the development of data-driven surrogate models for unsteady aerodynamic loads. Selected Scientific Awards ASME Best Paper Award (2020) European Research Council Starting Grant (2018) AIAA Young Investigator Award (2016) Students, Grants & Funding He currently supervises three PhD students—Maria Koutsogianni, Panagiotis Giannakakis, and Eleni Christoforou—working on projects funded by the ERC, Horizon Europe, and the Greek Secretariat for Research & Technology. Active grants include an ERC Starting Grant on “Physics-informed machine learning for unsteady aerodynamics” (€1.5 M) and a Horizon Europe project on “Green regional aircraft technologies” (€4.2 M). Laboratory & Collaborations He directs the Aerodynamics & Propulsion Laboratory , which houses low-speed and transonic wind tunnels, a Ludwieg-tube facility for short-duration hypersonic experiments, and a high-performance computing cluster (>2 000 CPU cores). Ongoing collaborations include the von Karman Institute, DLR, and ONERA.
Yang Liu is a Lecturer at the University of Leicester, United Kingdom, and previously served as a Postdoctoral Research Associate in the Department of Materials at Imperial College London (2019–2024). His research spans two key areas: failure mechanisms of metallic materials using crystal plasticity modelling and water systems engineering, with a focus on sustainability and integrated modelling. He holds an Academic Visitor affiliation at Imperial College’s Faculty of Engineering. Research interests include water quality management, socio-hydrological phenomena, resilience assessment frameworks, and the application of nature-based solutions. He has developed the WSIMOD Python package for simulating water systems and contributed to global infrastructure sustainability studies. His work emphasizes interdisciplinary approaches, blending hydrological models, urban-rural coordination, and meta-modelling to address water management challenges. He has authored numerous papers on topics such as constructed wetlands, catchment classification, and cost-efficient resilience strategies.
Donatella Spano is Full Professor and Scientific Coordinator of the PhD programme in Agrometeorology and Ecophysiology of Agricultural and Forestry Ecosystems at the University of Sassari, Italy. She also coordinates the Agrometeorology and Ecophysiology Laboratory at the same university and serves as Senior Member of the Strategic Council of the Euro-Mediterranean Centre on Climate Change (CMCC). A founding member and former President (2015–2016) of the Italian Society for Climate Sciences, Prof. Spano has held numerous high-profile roles including Regional Minister for the Environment of Sardinia (2014–2019) and Pro-Rector for Research at the University of Sassari (2009–2014). Education Degree in Agricultural Sciences, University of Sassari Three-year Post-Doctoral specialisation in Biometeorology, University of Sassari Research Focus Prof. Spano’s work lies at the intersection of agrometeorology, biometeorology, and ecophysiology . Her team investigates the energy and mass exchange between terrestrial ecosystems and the atmosphere using advanced micrometeorological techniques such as Surface Renewal. She pioneered temperature-based phenological models to quantify chilling requirements and degree-day accumulation. Current research lines include climate-change impacts on crop yields (coffee, olives, maize), fire-behaviour modelling (danger indices and propagation), and the development of integrated systems for quantifying net CO₂ exchanges at urban and territorial scales. Across her recent publications, two dominant themes emerge: (1) climate-change projections and their sectoral impacts , where process-based and ensemble models are used to evaluate water demand, yield trends, and fire risk under future climates, and (2) micro-to-macro scale biometeorological observations , combining eddy-covariance data, phenological monitoring, and sensor-network optimisation to refine predictive models. Scientific Awards & Recognition Medal of the University of Sassari for best scientific production (2012) Best Practice Paper Award, American Society of Civil Engineers (2001, co-recipient) Advising & Grants Prof. Spano has chaired more than 40 doctoral and master theses. She is responsible for the scientific cooperation agreement with the University of California, Davis, a collaboration active since 1993. She leads or participates in numerous EU-funded projects focused on climate-change adaptation, sustainable farming strategies, and integrated fire-risk management systems. Laboratory & Team Leadership Since 2006 she has directed the Agrometeorology and Ecophysiology Laboratory at the University of Sassari, managing a team of 25 researchers, post-docs, and PhD students in cutting-edge experimental and modelling activities.
Professor Sandra Leaton Gray is a distinguished academic at University College London (UCL), where she serves as Professor of Education Futures at the UCL Institute of Education (IOE) within the Curriculum, Pedagogy & Assessment department. She also holds significant governance roles as a member of the UCL Council, the main governing body of the university, and as a Senior Member of Wolfson College, University of Cambridge. Her academic career spans multiple institutions including the University of East Anglia and the University of Cambridge, with a consistent focus on the intersection of education, technology, and social policy. Professor Leaton Gray's educational background includes: Doctor of Philosophy from University of Cambridge (2004) Master of Philosophy from University of Cambridge (1999) ATQ07 - Holder of a PGCE in higher education, secondary education, further education, lifelong learning from Roehampton University (1993) Her research interests center on the sociology of technology and its impact on children and young people, with particular emphasis on AI ethics in educational contexts. She explores education futures, the future of assessment, educational testing, and curriculum reform through a critical lens that considers digital ethics, children's biometrics, and the knowledge economy. Her work addresses pressing contemporary issues including the recovery from the COVID-19 pandemic's impact on education systems, with a strong commitment to addressing educational inequality and promoting democratic values in technologically mediated learning environments. Professor Leaton Gray approaches these topics through the frameworks of sociology, policy analysis, and educational futures thinking, always with attention to the lived experiences of learners in digital contexts. Professor Leaton Gray's extensive publication record reveals a clear trajectory of increasing focus on digital technologies in education, particularly AI and biometrics, while maintaining her foundational interest in educational sociology and policy. Her recent work demonstrates a sophisticated understanding of how technological systems intersect with power structures in educational assessment and how these dynamics impact equity and access. The growing emphasis on AI in her recent publications reflects both the rapid development of educational technologies and her strategic positioning at the forefront of critical analysis of these innovations. Professor Leaton Gray has received numerous professional recognitions: Fellow of the College of Teachers (since 2007) Fellow of the Incorporated Society of Musicians (since 1993) Fellow of the London College of Music (since 1990) Principal Fellow of the Higher Education Academy (since 2005) Senior Member of Wolfson College, University of Cambridge (since 2006) As an advisor and consultant, Professor Leaton Gray has significantly influenced education policy at national and international levels, working with organizations including the UN, UK Government, EU Commission, OECD, Royal Colleges of Medicine, British Dental Association, International Baccalaureate Organisation, BBC, Channel 4, Pearson, and the Biometrics Institute. Her current role as Researcher in Residence at the University of Passau, Germany (2024-2025) leading the project 'Education Futures: Visions of Artificial Intelligence, Biometrics and Digital Surveillance within Bavarian Schools' demonstrates her ongoing commitment to shaping educational practices through research. She has also directed significant projects including the 'My Life Online' research project, the 'Future of the Artificially Intelligent Examination,' and the 'Optimising 2020 secondary school transition processes during the Covid-19 pandemic.' Professor Leaton Gray is actively involved in several important governance and advisory roles that extend her influence beyond traditional academic boundaries. She serves as a member of the UK Government's College of Experts in the Ministry of Culture, Media and Sport (DCMS), the UK Ministry of Science, Innovation and Technology, the Privacy Expert Group of the Biometrics Institute, the UK Cabinet Office's International Best Practice Advisory Group, and as an expert advisor to the UK Government's Centre for Data Ethics and Innovation. Her participation in the OECD's ONE AI working group further demonstrates her international standing in the field of educational technology policy.
