Geodemographic Profiling Professors and Supervisors

Harrison SmithView profile

Lecturer

University of SheffieldUnited Kingdom

Dr Harrison Smith is a Lecturer in Digital Media & Society at the University of Sheffield's School of Sociological Studies, Politics and International Relations. He holds a PhD from the University of Toronto’s Faculty of Information, alongside MA and BA degrees in Sociology from Queen’s University, Canada. His research focuses on the political economy of data analytics, particularly in smart cities and consumer surveillance contexts. Education: PhD in Information Studies, University of Toronto (Canada) MA in Sociology, Queen’s University (Canada) BA (Hons) in Sociology, Queen’s University (Canada) Smith’s research examines how data infrastructures shape socio-economic inequality through processes like surveillance, classification, and market segmentation. Key areas include location-based marketing, 5G data infrastructures, and industry consolidation in data analytics. His work critiques how digital technologies reconfigure urban spaces and labor markets, particularly in 'smart city' contexts. Recent publications explore the metaverse's industrial implications, blockchain’s role in dispute resolution, and surveillance practices at music festivals. His teaching includes leading the module SCS2016: The Sociology of the Media. Smith’s expertise bridges media theory, urban informatics, and critical data studies, emphasizing ethical and political dimensions of digital technologies in everyday life.

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Christopher BrunsdonView profile

Professor

Maynooth UniversityIreland

Christopher Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at Maynooth University's Faculty of Social Sciences. Previously, he held positions at the University of Liverpool, Leicester, Glamorgan, and Newcastle. His academic credentials include a BSc in Mathematics from Durham University and an MSc in Medical Statistics and PhD in Geography from Newcastle University. Research interests focus on spatial statistics, data science, and spatial analysis, with emphasis on open-source software (especially R) and reproducible methods. Applied domains include crime pattern analysis, health geography, and environmental applications. Current projects include 'Mapping Lineages: Quantifying the Evolution of Maps of the British Isles' and 'Building city dashboards'. Brunsdon's recent publications (2018-2020) demonstrate strong methodological contributions to geocomputation, spatial regression, and geodemographics. Trends include reproducibility in spatial science, multiscale modeling, and applications in health geography and urban analytics. He leads the National Centre for Geocomputation, fostering innovation in spatial data science. Grant leadership includes an ERC Advanced Grant (RIGAR) and industry collaborations like consultancy for SiteZeus.

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Sarah GoodwinView profile

Researcher

City, University of LondonUnited Kingdom

Sarah Goodwin is an academic affiliated with City, University of London, focusing on visualization techniques, geodemographics, and energy consumption analysis. Her work bridges computer science and geographic information systems (GIS), emphasizing user-centered design and collaborative methodologies. She holds a PhD in Visualisation for Household Energy Analysis from City University London (2015). Her research explores multivariate data visualization, particularly in energy-based geodemographic classifications and the impact of scale and geography on data interpretation. Notable contributions include frameworks for creative visualization workshops and topology-preserving map deformations for dissimilarity data. She has received the VAST 2012 Mini Challenge Award for Efficient Use of Visualization. Publications span journals like IEEE Transactions on Visualization and Computer Graphics, and she has presented at conferences such as IEEE VAST and GIS Research UK. Her work addresses energy consumption patterns, network health monitoring, and spatial data analysis. Current research emphasizes innovative visual methods for complex data exploration across scales and geographic contexts.

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Roger BurrowsView profile

Professor

University of BristolUnited Kingdom

Professor Roger Burrows holds the position of Professor in Global Inequalities at the University of Bristol's School for Policy Studies. His expertise spans social policy, sociology, and geography, with a focus on housing, urban studies, digital cultures, social inequalities, research methodology, and higher education. He is based at 8 Priory Road Clifton, Bristol BS8 1TZ. His research interests include the intersection of technology and urban life, particularly algorithmic systems in housing and financial sectors, as well as the socio-spatial dynamics of wealth inequality. Recent work examines digital risk-profiling in rental markets, automation in credit decisions, and the geographies of elite residential development in London. Academic contributions emphasize critical analysis of contemporary capitalism, geodemographics, and the methodological challenges posed by big data in empirical sociology. His publications from 2022–2025 highlight themes of algorithmic governance, technological mediation in housing, and socio-spatial class dynamics. No formal awards are listed, though his work is widely cited in policy and academic circles. He advises on projects related to urban informatics, digital housing systems, and inequality metrics. His research infrastructure includes collaborations with the School for Policy Studies and engagements with interdisciplinary teams studying technology's societal impacts. Ongoing projects explore algorithmic decision-making in financial and housing sectors, reflecting a commitment to understanding socio-technical systems.

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James NunnView profile

Senior Lecturer

Brunel University LondonUnited Kingdom

Dr James Nunn is a Senior Lecturer in Criminology and Criminal Justice (Professional Practice) at Brunel University London within the College of Business, Arts and Social Sciences. He serves as Academic Lead for the Police Constable Degree Apprenticeship (PCDA) End Point Assessment and delivers both the PCDA and Degree Holder Entry Programme (DHEP) for the Metropolitan Police, leveraging 29 years of operational policing experience culminating as an Inspector in Roads and Transport Policing. His educational background includes: PhD in Geodemographic Profiling of Road Traffic Collision Drivers (Loughborough University, 2021) MA in Policing and Criminal Justice with Merit (Canterbury Christ Church University, 2016) BSc (Hons) in Policing (Canterbury Christ Church University) University Certificate in Academic Practice (Canterbury Christ Church University, 2020) Dr Nunn's research bridges criminological theory and policing practice, with primary focus on road traffic collision culpability, geodemographic profiling of drivers, and criminal histories of drug drive offenders. His work directly informs contemporary police training curricula and road safety initiatives through operational expertise from embedded Transport for London control room experience. Professional Recognition: Associate Fellow of the Higher Education Academy (AFHEA) He maintains active professional engagement as External Examiner at Liverpool John Moores University's School of Policing & Justice Studies, member of Transport for London's Vision Zero Enforcement Reference Group, and contributor to HMICFRS Academic Reference Group. His teaching leadership extends across multiple institutions including previous roles at Anglia Ruskin University and Canterbury Christ Church University.

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Lina StankovicView profile

Professor

University of StrathclydeUnited Kingdom

Lina Stankovic is a Professor in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde. She currently serves as Deputy Head of Department for Learning & Teaching, demonstrating leadership in academic education. Her work aligns with key university research themes including Measurement Science & Enabling Technologies, Energy, and Health & Well-Being. She holds a PhD and BEng (Hons) in Electronic Communication Systems from Lancaster University. Her research expertise lies in Signal and Information Processing, with a strong emphasis on AI and machine learning to extract meaningful insights from complex, noisy, and multimodal sensor data. Key application areas include non-intrusive load monitoring (NILM) for energy disaggregation, AI for decarbonization in the built environment, agriculture, and transport (including EVs), environmental impact assessment of food systems and appliances, and micro-seismic signal analysis for landslide mitigation and geothermal energy extraction. Her work is inherently interdisciplinary and contributes to tackling climate change and advancing the United Nations Sustainable Development Goals. Her recent publications highlight a strong trend in applying advanced AI techniques—such as graph neural networks, transformers, and knowledge distillation—to real-world energy and environmental challenges. These works focus on smart meter analytics, equitable EV charging planning, edge-based NILM, and human-in-the-loop seismic classification, demonstrating both technical innovation and societal impact. She has received notable scientific recognition, including: Finalist of the World first 10K Best paper Award (Top 3%) Paper awarded top 5% by reviewers in Eusipco-2010 and invited for journal publication Lina Stankovic actively leads and contributes to major research projects such as the Digital Dairy Chain Innovation Voucher (as Principal Investigator) and JED-AIs: Justice, Energy, Demand flexibility and AI for Sustainability (as Co-investigator), supported by EPSRC and UKRI. She supervises PhD students and researchers, and her work involves extensive collaboration with industry and non-academic stakeholders. She is also an Editorial Board member of the IEEE Transactions on Signal and Information Processing over Networks and a member of the EPSRC Peer Review College. She leads or co-leads several research initiatives and innovation projects, often in collaboration with her research partner Vladimir Stankovic, focusing on AI-driven energy analytics, sustainable farming, and community energy schemes.

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Adam BerryView profile

Professor

University of Technology SydneyAustralia

Adam Berry is a Professor and Deputy Director of the Human Technology Institute at the University of Technology Sydney (UTS). He previously served as Deputy Director of the UTS Data Science Institute from 2021-2024. His work focuses on leading inclusive, responsible and innovative artificial intelligence for Australia, with emphasis on translating data into real-world impact through data curation, machine learning, and statistical approaches. Education: PhD in Computer Science, University of Tasmania (2004-2008) BSc (Hons) in Computer Science, University of Tasmania (1999-2003) Professor Berry's research spans ethical AI, energy systems, and accessibility. His work consistently bridges theoretical research with practical implementation, focusing on human-centered AI that delivers value while upholding rights and preventing harm. He has a strong track record in multi-disciplinary collaboration, bringing together expertise from computer science, social science, electrical engineering, and ethics. His recent publications reveal a strategic evolution from foundational work in energy systems and reinforcement learning toward increasing focus on ethical and responsible AI frameworks. While maintaining strong contributions to energy analytics (electricity price forecasting, carbon intensity prediction), his 2021 survey on ethical AI principles marks a significant pivot toward governance and implementation frameworks for trustworthy AI systems. Scientific Awards: CSIRO Collaboration medal (inaugural winner) Professor Berry has secured substantial funding from diverse sources including the Digital Health CRC, Australian Renewable Energy Agency, Department of Home Affairs, and industry partners. He has led multi-million dollar initiatives like the National Energy Analytics Research Program and currently oversees the Human Technology Institute's mission for responsible AI. His industry collaborations include partnerships with Reejig (ethical talent AI), Sydney Trains (delay prediction systems), and numerous energy sector organizations. He actively contributes to the Disability Research Network, applying data-driven approaches to improve outcomes in the disability sector. As part of the Trustworthy Digital Society research center, he advances human-centered AI through cross-disciplinary work that integrates technical expertise with social considerations. His leadership spans research design, capability development, and strategic partnership building across government, industry, and academic sectors.

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David GreenView profile

Academic

University of AberdeenUnited Kingdom

David Green is Reader in Geosciences at the University of Aberdeen, where he directs the MSc in GIS programme and leads the Aberdeen Institute for Coastal Science and Management. His research spans geographical information systems, UAV remote sensing, coastal zone management, and precision viticulture. With degrees from the University of Edinburgh and Toronto, Green has secured funding from Interreg programmes and leads projects on coastal vulnerability and spatial disparities. His work employs advanced geospatial technologies including drone-based monitoring of mangroves, coastal erosion mapping, and silvopastoral system analysis. Recent publications demonstrate methodological innovation in Bayesian spatial analysis of healthcare access and UAV applications in urban environments. Green has received numerous awards including Santander Mobility Awards, Quality Coast Award, and RSGS XYZ Digital Award. He teaches courses in hydrography, UAV remote sensing, and GIS across undergraduate and postgraduate programmes.

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Hongyu ZhangView profile

Lecturer

University of Massachusetts AmherstUnited States

Hongyu Zhang is a Lecturer in the Department of Earth, Geographic, and Climate Sciences at the University of Massachusetts Amherst, where he contributes to the Geographic Information Science and Technology (GIST) program. He is based at the Mount Ida Campus and is actively engaged in research and teaching at the intersection of geography, technology, and ethics. Education: PhD in Geography, McGill University, 2024 MSc in Geography, Western University, 2017 Bachelor of Environmental Studies (BES) in Geomatics, University of Waterloo, 2015 (with minor in Computer Science and Diploma of Excellence in GIS) Hongyu's research focuses on geoprivacy , GeoAI , and the ethical dimensions of spatial data . He investigates how individuals disclose location information on social media, particularly in Chinese digital environments like Weibo, using mixed methods to understand the sociotechnical dynamics of privacy. His work aims to promote responsible spatial data science by bridging GIScience with human behavior and digital ethics. His recent publications and open-source contributions reflect a strong trend in social media analysis , geoprivacy discourse , and computational ethics . He develops tools and datasets to analyze privacy-related language and behavior online, with a focus on Chinese platforms. His work also extends to GIS education , where he emphasizes project-based learning to improve student employability in geospatial fields. Scientific Contributions: Development of lexicons for analyzing geoprivacy in Chinese social media Creation of datasets on microblog content and user comments Open educational resources in data science and GIS Research on algorithmic price discrimination and digital surveillance Hongyu is committed to open science and student mentorship. While no formal list of advisees is available, his teaching and project-based approach suggest active engagement with students. He has no listed scientific awards, but his research output and GitHub activity indicate a growing scholarly presence in geospatial ethics and digital society. He maintains an active research website and GitHub profile, where he shares code, datasets, and educational materials, reflecting a transparent and collaborative research philosophy.

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Dorde BaticView profile

Researcher

University of StrathclydeUnited Kingdom

Dorde Batic is a Marie Skłodowska-Curie ITN Early Stage Researcher affiliated with the University of Novi Sad's Faculty of Technical Sciences. His work focuses on developing Trustworthy AI solutions for energy systems and sustainable transportation. University of Novi Sad - Faculty of Technical Sciences Horizon2020 GECKO Project Participant IEEE Student Member Research spans Smart Grid management , load disaggregation , consumption prediction , and Graph Neural Networks for charging station optimization. Contributions align with UN Sustainable Development Goals (SDGs) including climate action and sustainable cities. Recent publications highlight edge computing applications in energy monitoring and equitable EV charging infrastructure planning in Scotland. Projects include the Picture-IT initiative for generative AI in learning environments. Marie Skłodowska-Curie ITN Early Stage Researcher Fellowship

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