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Andrew DugmoreView profile

Professor

• Tephrochronology
• Climate Change
• Holocene Environmental Change
• +6 more

Professor Andrew Dugmore is a Personal Chair in Geosciences at the University of Edinburgh's School of Geosciences, with adjunct professorships at City University of New York (since 2002), Arizona State University (2014-2017), and Washington State University (since 2015). He is an internationally recognized expert in tephrochronology and the dynamics of socio-ecological systems, with over 170 research publications to his name. Professor Dugmore's research focuses on long-term environmental records to understand resilience in complex socio-ecological systems and the mechanisms behind threshold-crossing events. His work integrates tephrochronology (volcanic ash dating), archaeology, and environmental history to examine landscape dynamics, particularly in the North Atlantic region. His fingerprint analysis shows strong expertise in Tephra studies (100%), Climate Change (60%), Holocene environmental change (55%), and Tephrochronology (47%), with additional strengths in Anthropogenic Effects, Vegetation studies, Landscape Change, and Human Settlement patterns. His recent publications reveal a continued focus on North Atlantic environmental history, archaeological methodology using tephrochronology, and the policy relevance of historical environmental data. His work demonstrates how volcanic ash layers preserve early warning signals of landscape tipping points - abrupt shifts from one state to another - with implications for contemporary climate challenges. President's Award, Royal Scottish Geographical Society (2002) Gordon R. Willey journal prize, American Anthropological Association (2010) Honorary Life Membership, International Focus Group on Tephrochronology (2014) British Society for Geomorphology Chorley Award (2018) St Andrews Article Prize in European Environmental History (2019) Fellow of the Royal Scottish Geographical Society (2022) Research Award, 5th Shanghai Archaeological Forum (2023) Research Fellow, Norwegian Academy of Science and Letters (2024) Professor Dugmore has supervised at least eight PhD students to completion, with research focused on Icelandic and Scottish environmental history and archaeology. His current projects include investigating early human settlement of Iceland with ancient soil DNA and examining long-term environmental dynamics in cultural heritage landscapes. He is actively engaged in research that connects historical environmental data with contemporary sustainability challenges, as evidenced by his recent invited talks on 'Environmental histories in the North Atlantic' and 'Resilience and sustainability: past trajectories, contemporary directions, policy relevance.'

• Environmental Science
• Climate Change
• Sustainability
• +5 more

Hannah Ritchie is a leading environmental data scientist serving as Senior Researcher at the University of Oxford's Oxford Martin Programme in Global Development and Honorary Fellow at the University of Edinburgh's School of Geosciences and Climate Change Institute. She concurrently holds the position of Deputy Editor and Science Outreach Lead at Our World in Data, where she has worked since 2017. Her academic foundation includes a PhD in GeoSciences from the University of Edinburgh. Her research examines systemic environmental challenges through interdisciplinary lenses: Core domains : Energy transition dynamics, pollution mitigation, sustainable agriculture, global food systems, and climate-development nexus Methodological focus : Data visualization, longitudinal analysis, and evidence-based solution modeling Cross-cutting themes : Environmental equity, technological scalability, and policy implementation frameworks Ritchie's scholarly output demonstrates consistent engagement with sustainability frontiers: Recent works (2020-2025) address decarbonization, health-environment interactions, resource economics, and measurement innovation Publications exhibit strong cross-disciplinary integration across environmental science, public health, and development economics Evolving emphasis on solution-oriented frameworks and feasibility assessments for global challenges Significant recognitions include: Scotland's Youth Climate Champion (2022) Prospect Top 25 Thinkers (2024) Honorary Fellowship of the Royal Statistical Society At Our World in Data, she leads science communication initiatives that translate complex research for global audiences. While specific grant details aren't provided, her Oxford Martin position involves institutional research funding. Lab affiliations aren't mentioned, but she collaborates through academic programs and digital platforms.

• Mountain Research in the Alps
• Border Studies
• Regional Economic Geography
• +7 more

Markus Lambracht is a Researcher and Project Manager at the Department of Geography and Geosciences, Institute of Geography, Friedrich-Alexander University Erlangen-Nuremberg. He works within the Regional Development working group led by Prof. Dr. Tobias Chilla, focusing on interdisciplinary research at the intersection of physical geography, socio-economic analysis, and spatial planning. His research expertise spans three interconnected domains: Mountain research in the Alps, Border Studies, and Regional Economic Geography. Lambracht's work emphasizes quantitative spatial analysis and data visualization techniques to examine how topography and relief influence socio-economic development patterns. His doctoral research investigates the role of physical terrain in regional development processes, challenging purely geodeterministic explanations while acknowledging material aspects of space. Recent publications demonstrate a clear trend toward applied research with policy relevance, particularly in Alpine spatial development, cross-border cooperation, and sustainable value chains. His work increasingly focuses on practical applications for regional governance, with strong connections to European policy frameworks like the Alpine Convention and EUSALP (European Union Strategy for the Alpine Region). Active participant in Interreg Alpine Space Program projects (ASTER and AlpTextyles) Technical advisor for German federal ministries on Alpine Convention matters Contributor to the Report on the State of the Alps Regular presenter at international conferences including International Mountain Conference and International Geographical Congress Lambracht's collaborative approach is evident in his extensive co-authorship network, particularly with Prof. Dr. Tobias Chilla and other researchers in the Regional Development working group. His research bridges academic inquiry with practical policy applications, making significant contributions to understanding spatial development processes in mountainous regions.

• Geomatics
• Topography
• Cartography
• +6 more

Barbara Marana is a Researcher in Topography and Cartography at the University of Bergamo, School of Engineering, Department of Engineering and Applied Sciences (DISA). She has maintained an active academic career since 2003, progressing from Research Fellow to Confirmed Researcher in 2008, while also serving as an Adjunct Professor for Information Systems for the Territory and Topography courses from 2015-2023. Her educational background includes a Doctorate in Geodetic and Topographic Sciences from the Polytechnic University of Turin (1993-1997) and a Degree in Electronic Engineering with specialization in Automatic Control from the Polytechnic University of Milan (1991). She possesses strong English language skills and has authored over 60 scientific publications throughout her career. Dr. Marana's research focuses on the application of Geomatics technologies to cultural heritage preservation, environmental monitoring, and urban planning. Her work demonstrates particular expertise in GIS applications, LIDAR technology, 3D scanning, and photogrammetry for documenting and analyzing historical sites, military landscapes, and natural environments. She has developed innovative approaches for integrating these technologies to create detailed spatial analyses that support conservation efforts and sustainable development initiatives. Her recent work shows increasing emphasis on interdisciplinary applications, particularly in environmental monitoring and cultural heritage documentation. Analysis of her publication record reveals consistent thematic development across multiple domains: Early work focused on 3D modeling and documentation of archaeological sites in Central Sicily Mid-career publications expanded into military archaeology and LIDAR visualization techniques Recent research demonstrates sophisticated integration of multiple geospatial technologies for environmental applications, including air pollution analysis and climate change impact assessment Dr. Marana has received recognition for her contributions to geospatial science education through innovative teaching methods including challenge-based learning approaches to digital mapping instruction. Her educational work aligns with Sustainable Development Goals 4 (Quality Education) and 11 (Sustainable Cities and Communities). She leads research projects focused on cultural heritage documentation, particularly using 3D scanning and BIM technologies for historical structures, and maintains active collaborations on projects involving the Grotto of Saints in Enna and the Necropolis of Realmese in Calascibetta. Her methodology consistently combines traditional surveying techniques with advanced technologies including terrestrial laser scanning, UAV systems, and multispectral imagery.

Gang MeiView profile

Associate Professor

• Numerical Simulation and Computational Modeling
• GPU Computing
• Machine Learning
• +5 more

Dr. Gang Mei is an Associate Professor in Scientific Computing within the School of Engineering and Technology at China University of Geosciences (Beijing), where he has held academic positions since 2014. His career progression includes Postdoctoral Researcher (2014-2016), Lecturer (Oct-Dec 2016), and current Associate Professor (since Jan 2017). His research bridges computational science and engineering applications with significant editorial contributions to computer science literature. Education: Ph.D. in Computer Science, University of Freiburg, Germany (2014) Research Interests: Dr. Mei specializes in Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, and Data Mining, with strong applications in Network Science and Spatial Information Systems. His work integrates Distributed and Parallel Computing techniques for large-scale scientific simulations, particularly in geospatial modeling and network analysis. The research demonstrates consistent focus on computational efficiency through hardware acceleration and algorithmic optimization across diverse domains including satellite imagery processing, financial event detection, and medical image classification. Publication Trends: His editorial portfolio reveals strong interdisciplinary patterns connecting computer science fundamentals with domain-specific applications. Recent works emphasize GPU-accelerated methods for data-intensive problems (2020-2022), spatial-temporal modeling (2019-2020), and network science applications (2021). The publications consistently address computational scalability challenges while maintaining practical relevance across geospatial, financial, medical, and engineering contexts. Professional Recognition: As an IEEE Member, Dr. Mei serves on editorial boards for IEEE Access and PeerJ Computer Science, reflecting peer recognition in computational fields. His editorial contributions span 15+ publications demonstrating expertise in evaluating cutting-edge computer science research. Academic Service: Beyond editorial work, Dr. Mei's service includes advising on computational methodology across multiple disciplines. His role as Academic Editor demonstrates commitment to scholarly communication, particularly in bridging theoretical computer science with practical engineering applications. No grant funding details were specified in available materials.

Yan ChengView profile

Researcher

• Remote sensing
• Climate change
• Deep learning
• +6 more

Yan Cheng is a Guest Researcher in the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. A recently minted PhD graduate (awarded May 2025), Cheng specializes in environmental science and computer science with expertise in deep learning applications for earth observations and terrestrial ecosystem analysis under climate change. PhD in AI for Earth Observation, University of Copenhagen (2021-2025) MSc in Natural Resources Management, University of Twente (2017-2019) BSc in Geographical Information Science, Wuhan University (2013-2017) Cheng's research integrates remote sensing, climate science, and artificial intelligence to address critical environmental challenges. Primary focus areas include tree mortality mapping, climate risk assessment for infrastructure, and phenology analysis of vegetation cycles. Their work leverages high-resolution satellite imagery (PlanetScope, Sentinel-2) and develops novel computer vision techniques for ecosystem monitoring. Cheng maintains active collaborations across multiple continents, with recent visits to ETH Zürich, Wuhan University, Southern University of Science and Technology, and USGS. Notable research outputs demonstrate Cheng's leadership in developing frameworks for multi-hazard climate risk assessment and creating the deadtrees.earth database initiative. Their publications span high-impact journals including Nature Communications, Remote Sensing of Environment, and Communications Earth and Environment, with significant attention from both academic and policy communities. DDSA Travel Grant 2023 IEEE Geoscience and Remote Sensing Society Travel Grant ITC Excellence Scholarship Outstanding PhD Students Award (2024) Cheng has served as teaching assistant for the MSc course 'Satellite Image Processing and Analysis in the Big Data Era' and maintains external positions including Remote Sensing Specialist (2022-2024). Their research has garnered significant attention with multiple news outlets, policy references, and substantial social media engagement across X, Reddit, and Bluesky platforms. Through the deadtrees.earth initiative, Cheng leads a global collaborative effort to build an open-access database for centimeter-scale tree mortality monitoring, demonstrating commitment to open science and collaborative environmental research.

• Visual Communication
• Data Visualization
• Storytelling
• +4 more

Samuel Frei serves as a Lecturer at the Lucerne University of Applied Sciences and Arts – School of Design, Film and Art, where he teaches Visual Communication and Data Visualization across Bachelor's and Master's programs including the Applied Information and Data Science and MA Design curricula. His academic journey began after a career shift from biology and finance, completing a Master's in Design in 2011 followed by dissertation research at University College Dublin's SMARTLab (2012-2020). His research focuses on the intersection of analog and digital media, particularly in immersive technologies (AR/MR/VR) , cultural heritage digitization , and data storytelling . Key projects include the Digital Storytelling Lab, ALE (UNESCO World Heritage mobile experiences), and IDN-Kommunale Energie-Transformation. His work consistently explores how mobile and immersive technologies transform learning in cultural institutions and tourism contexts. Frei's 2024-2022 publications reveal a strong trend toward geospatial data visualization in tourism, cultural heritage preservation through mixed realities , and participatory digital archiving , often involving Swiss parks, museums, and indigenous communities like Amazonian collectives. His work bridges technical development with human-centered design principles. Nomination for Swiss Design Prize 2017 (Research category) Best of Swiss App Award 2016 (2x Bronze for ALE project) As former coordinator (2013-2023) and director (4 years) of continuing education programs, he managed interdisciplinary collaborations with cultural institutions, nature conservation groups, and educational organizations. His current leadership of the Investigative Methods in Research Practice module (2025) demonstrates ongoing curriculum development. Frei also maintains professional practice as an illustrator and concept designer, applying research to real-world projects in conservation and cultural sectors. His Visual Narrative research group serves as the primary laboratory context, producing projects like the Digital Storytelling Lab and Virtuelles Museum that integrate mobile technologies, indigenous knowledge systems, and emerging AI/AR platforms for cultural engagement.

• Hydrology
• Environmental Modeling
• Water Resource Management
• +2 more

Tanja Denager serves as a Guest Researcher in the Department of Geosciences and Natural Resource Management (Geology section) at the University of Copenhagen's Faculty of Science. Her research focuses on quantifying water fluxes across diverse land cover types including forests, agricultural areas, heathlands, and wetlands using advanced soil-vegetation-atmosphere transfer models. Her educational background includes an M.Sc. in Environmental Engineering from the Technical University of Denmark (awarded June 3, 2013). Prior to her current position, she worked as an Environmental Engineer at NIRAS from January 2014 to November 2016. Denager's research integrates process-based modeling with observational data, utilizing the PEST software package for parameter estimation and uncertainty analysis. Her recent publications demonstrate expertise in multi-objective model calibration, field-scale water-energy balance analysis, and comparative evapotranspiration methodologies. Her work bridges data-driven approaches with hydrological modeling for catchment-scale applications. Her three recent publications show consistent focus on hydrological modeling techniques and water balance components. The 2023 Hydrology and Earth System Sciences paper represents her most current work on multi-objective calibration, while her 2022 Ph.D. thesis established foundational methodologies for field-scale analysis. Professional activities include a 2018 lecture on evapotranspiration estimation methods. Her research shows international collaboration patterns across multiple countries as indicated in network visualizations.