Find Academic Supervisors

• Ontology-based databases
• Formal methods
• Human-computer interaction
• +5 more

Yamine Ait-Ameur is a Full Professor in Data Engineering at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique). He maintains dual laboratory affiliations with LIAS (Laboratoire d'Ingénierie des Applications de la Connaissance et des Systèmes) at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA campuses, reflecting his cross-institutional research activities. Professor Ait-Ameur's research program centers on formal methods for data engineering, with particular expertise in Event-B modeling applied to ontology-based database systems and multimodal human-computer interaction. His work bridges theoretical computer science with practical engineering applications, developing frameworks like OntoDB/OntoQL that enable semantic data representation and querying. His research trajectory shows evolution from foundational work in formal verification of numerical computations (1990s) to sophisticated applications in semantic web technologies, industrial automation systems, and multimodal interfaces (2000s-present). The publication record reveals strong thematic continuity across three decades, with recent work emphasizing formal verification of interactive systems (2013-2017), semantic data engineering methodologies, and multimodal interface design. His scholarly output demonstrates consistent international collaboration, particularly with researchers in Spain, Tunisia, and other European countries, as evidenced by co-authored publications and conference organization. Professor Ait-Ameur has played significant editorial roles including guest editing special issues of Data and Knowledge Engineering (2010) and Computers in Industry (2014), and co-organizing the Models and Data Engineering (MEDI) conference series. His research has practical applications in industrial automation, geological modeling, and transportation systems, as indicated by multiple publications addressing real-world implementation challenges.

Ashley D'AntonioView profile

Associate Professor

• Recreation Ecology
• Sustainable Recreation and Tourism
• Human Dimensions of Natural Resources
• +2 more

Ashley D'Antonio is an Associate Professor and Associate Department Head in the Forest Ecosystems & Society department at Oregon State University's College of Forestry. Her research integrates recreation ecology, visitor behavior analysis, and protected area management using spatial methods like GPS tracking and social science approaches. Education includes a Ph.D. and M.S. in Human Dimensions of Ecosystem Science from Utah State University and a B.S. in Biology from Pennsylvania State University. Research focuses on sustainable recreation, human-environment interactions in parks, and visitor impact mitigation. Recent work examines weather impacts on visitation, trail degradation prediction, and pandemic effects on outdoor recreation behavior. Publications consistently address visitor movement modeling, recreation ecology, and protected area management using geospatial technologies. Trends show growing emphasis on machine learning applications, pandemic-related behavioral shifts, and interdisciplinary approaches combining ecological and social science methods. Advises graduate student Danielle Berger and teaches courses including Outdoor Recreation Management, Parks and Protected Area Management, and Sustainable Recreation Planning.

• Architecture
• History and Theory of Architecture
• Cultural Landscapes
• +7 more

Alessandra Ponte is a full professor at the École d’architecture of Université de Montréal. She has held teaching positions at Princeton University, Cornell University, Pratt Institute, ETH Zurich, and Istituto Universitario di Architettura di Venezia. Her research focuses on architecture's relationship with environment, mapping, and information systems, particularly in extreme landscapes and post-industrial contexts. Collaborated on CCA exhibitions: Environnement Total: Montréal 1965-1975 (2009) and God & Co: François Dallegret, Beyond the Bubble (2011-2014) Authored The House of Light and Entropy (2014) and Architecture et Information 2.0 series (2017-2020) Led research projects: Mining infrastructures in Québec (2014-2016), Architecture and Information 2.0 (2017-present), and Claiming the Planet: Post-Industrial Design Experiences (2020-2022) Her current work examines machine-generated spatial representations through drones, autonomous vehicles, and AI mapping systems. This research challenges traditional horizon-based aesthetics and explores non-human territorialization processes. Publications analyze how digital technologies reshape architectural practice and environmental understanding. She has contributed to journals like Landscript , Annals of Architectural Research , and New Geographies . Her students' research includes topics like Tunisian urban modernization, architectural branding, and digital mapping systems. She co-edited the book God & Co: François Dallegret, Beyond the Bubble (2011-2014).

• Computer Vision
• Machine Learning
• Deep Learning
• +5 more

Dr. Nathanael L. Baisa is a Lecturer in Artificial Intelligence at De Montfort University (DMU), part of the Computing, Engineering and Media faculty within the School of Computer Science and Informatics. His academic career includes roles as a senior research associate at Lancaster University, researcher at AnyVision, and research fellow at the University of Lincoln, focusing on computer vision and machine learning projects funded by ERC, EPSRC, and Innovate UK. Education: PhD in Electrical Engineering (Computer Vision/ML - Heriot-Watt University, 2018) MSc in Computer Vision and Robotics (Erasmus Mundus program, 2013) Research focuses on computer vision applications including object detection, scene understanding, autonomous systems, and biometrics. He leads work on deep learning for visual tracking, hand-based person identification, and robotic perception. He teaches courses like Introduction to Computer Vision and Deep Learning frameworks. His recent publications emphasize vision-language models, multi-object tracking algorithms, and geoscience machine learning applications. He collaborates with the Institute of Artificial Intelligence (IAI) and contributes to interdisciplinary projects in robotics and energy exploration.

Ingo HeidbüchelView profile

Researcher

• Hydrology
• Catchment Hydrology
• Hydrogeology
• +3 more

Dr. Ingo Heidbüchel is a researcher in the Department of Hydrogeology at the Helmholtz Centre for Environmental Research - UFZ (Leipzig, Germany). His work focuses on understanding hydrologic processes, catchment hydrology, and transit time distributions. Previously, he held postdoctoral positions at the University of Bayreuth (2021), UFZ (2017–2020), and the GFZ in Potsdam (2013–2016). He earned his PhD from the University of Arizona (2008–2012) and a Diploma (Master equivalent) in Hydrology from Albert-Ludwigs-University Freiburg (2000–2007). Research interests include hydrologic transit times, catchment response dynamics, and hydrochemical interactions. His studies often employ tracer techniques and advanced modeling to explore processes like nitrogen cycling, groundwater-surface water mixing, and environmental change impacts on water systems. Key contributions include developing methods for analyzing transit time distributions in low-order catchments and investigating the effects of topography and seasonality on water chemistry. His work is supported by grants such as the DFG project on transit time dynamics in real-world catchments. Dr. Heidbüchel collaborates widely, contributing to initiatives like CAMELS-DE, a dataset of hydrometeorological time series for German catchments.

Daniel SousaView profile

Associate Professor

• Remote Sensing
• Wildfires
• Terrestrial Ecology
• +7 more

**Daniel Sousa** is an **Associate Professor of Geography** at **San Diego State University (SDSU)**, affiliated with the **College of Arts and Letters**. His research focuses on remote sensing applications for Earth surface processes, integrating sensor engineering and data analysis methods like manifold learning. Key areas include wildfires, ecology, agriculture, climate variability, water quality, and geologic mapping. Sousa holds a **PhD in Earth & Environmental Sciences (Geophysics)** from Columbia University, with prior roles at NASA JPL, Ames Research Center, and the NOAA Knauss Fellowship on Capitol Hill. **Education**: BS from UC Davis (Natural Sciences), MA and PhD from Columbia University (Climate & Society, Earth & Environmental Sciences). **Research Interests**: Sousa develops novel methods to synthesize multiscale remote sensing data, addressing challenges in spectral and spatial analysis. His lab’s work spans geologic mapping, agricultural monitoring, and environmental health risk assessment, funded by NASA, NSF, USDA, and binational initiatives. **Publications**: Over 30 refereed articles (e.g., in *Remote Sensing of Environment*, *Science of the Total Environment*) and contributions to AI-driven ecosystem assessments. Recent work includes EMIT mission applications and global land cover analysis. **Awards**: SDSU Sustainability Seed Award, NSF NEON Early Career Scholar, and multiple Outstanding Reviewer Awards. **Grants**: $5.8M extramural funding, including NASA projects on geogenic arsenic exposure and coastal wastewater monitoring. **Teaching**: Courses include *Advanced Remote Sensing*, *Research Design in Geography*, and *Intermediate Remote Sensing*. Supervises graduate and undergraduate students in projects like plastic debris mapping and wildfire analysis. **Service**: Editorial Board Member of *Remote Sensing Applications: Society and Environment*, NASA SARP Faculty Advisor, and contributor to the Rockefeller Foundation’s Pandemic Prevention Institute.

• Landscape Architecture
• Spatial Development
• Geotourism
• +3 more

Dr. hab. Lidiya Dubis serves as Professor in the Department of Landscape Shaping and Design at John Paul II Catholic University of Lublin (KUL), operating within the Institute of Mathematics, Informatics and Landscape Architecture under the Faculty of Natural and Technical Sciences. Her institutional address is Konstantynów 1 H, 20-708 Lublin, with active supervision of diploma theses and research projects focused on Eastern European spatial dynamics. Her research centers on landscape architecture and spatial development, investigating how terrain morphology and geodiversity shape urban-rural planning. She examines tourism potential in protected areas, particularly Ukraine-Poland border regions, with emphasis on geotourism infrastructure and sustainable development. Her interdisciplinary approach integrates geomorphological analysis with practical spatial planning applications across Carpathian and Polesie ecosystems. Publication analysis reveals consistent focus on transboundary geotourism development, with recurring themes of geological heritage conservation and climate-terrain interactions. Her work bridges academic research and policy through the Polish Academy of Sciences' Task Force for Rural Areas, demonstrating practical application of landscape architecture principles in regional development contexts. Professor Dubis has supervised over 40 diploma theses (2016-2021) on spatial development concepts for Polish communes, village planning, and water reservoir tourism. Her research collaborations span Ukraine and Belarus, notably in the planned international Polissia Geopark project. She actively participates in conferences like the International Scientific Conference 'Geography, Economics and Tourism' while contributing to national spatial planning frameworks. As member of the Polish Academy of Sciences' Task Force for Rural Areas, she influences national spatial development policies. Her current work emphasizes transboundary cooperation for geological heritage conservation, particularly through the Ukraine-Poland-Belarus Polissia Geopark initiative, while addressing climate change impacts on landscape evolution in Eastern European regions.

• Geoinformatics
• Cartography
• Geodetic Science
• +5 more

Prof. Monika Sester is a distinguished Professor and Executive Director of the Institute of Cartography and Geoinformatics at Leibniz University Hannover, within the Faculty of Civil Engineering and Geodetic Science. She also serves as Spokesperson for the Leibniz Research Center FZ:GEO and holds multiple leadership roles including Faculty Information Officer (FIO) for the Faculty of Civil Engineering and Geodetic Science, Ombudsman for Good Scientific Practice, and Exchange Coordinator for Geodetic Science and Geoinformatics. Her research focuses on the intersection of geospatial information science, cartography, and urban mobility. Prof. Sester's work spans several key areas: Geospatial data processing and analysis Cartographic representation and visualization Urban mobility and transportation systems Spatial data uncertainty and quality Digital mapping technologies and applications Historical map analysis and interpretation Prof. Sester's recent publications demonstrate a strong focus on applying advanced computational techniques to geospatial problems. Her work shows increasing emphasis on machine learning applications for map analysis, urban mobility optimization, and 3D spatial modeling. She has been particularly active in researching applications of deep learning for historical map interpretation, urban mobility patterns, and spatial uncertainty visualization. Her contributions to the field have been recognized through leadership positions in major research initiatives: Executive Director, Institute of Cartography and Geoinformatics Spokesperson, Leibniz Research Center FZ:GEO Faculty Information Officer, Faculty of Civil Engineering and Geodetic Science Ombudsman for Good Scientific Practice Member of multiple academic committees including the Admissions and Examination Board Prof. Sester actively collaborates with students and researchers across multiple projects focused on geospatial information systems, urban mobility, and cartographic visualization. Her leadership extends to guiding research directions within the Leibniz Research Center FZ:GEO, which brings together interdisciplinary expertise to address complex spatial challenges.

Kuuipo WalshView profile

Senior Lecturer

• Geographic Information Systems (GIS)
• Metadata Standards
• Digital Libraries
• +3 more

Kuuipo Walsh is the GIScience Program Director and Senior Lecturer I at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences (CEOAS). She oversees the GIScience certificate program, advising over 200 students annually on course selection, career paths, and academic plans. Her research focuses on GIS, metadata standards, digital libraries, and coastal atlases. She teaches advanced undergraduate and graduate courses in GIScience via Ecampus, including GIScience I-III and Geospatial Perspectives on Intelligence. Education: B.S. in Computer Science (California Polytechnic State University, 1993) and M.S. in Marine Resource Management (Oregon State University, 2002). Her publications emphasize spatial data infrastructure, coastal data networks, and usability in geospatial tools, with notable contributions to the Oregon Spatial Data Library and Virtual Oregon projects. She has no listed scientific awards but maintains active engagement in geospatial education and professional advising. Lab/Team Affiliation: Directs the GIScience certificate program and collaborates on geospatial initiatives within CEOAS.

Jakub NowosadView profile

Researcher

• Spatial Association
• Information Theory
• Landscape Metrics
• +7 more

Jakub Nowosad is a researcher affiliated with Adam Mickiewicz University in Poznań and currently holding a prestigious Marie Skłodowska-Curie Actions Postdoctoral Fellowship at the University of Münster's Remote Sensing and Spatial Modeling group (August 2024-August 2026). His work bridges geography, computer science, and environmental science with a focus on spatial data analysis and machine learning applications. Nowosad's research interests center on spatial association methods, landscape metrics, information theory applications in geography, and spatial machine learning techniques. He has made significant contributions to developing and implementing computational methods for analyzing spatial patterns, particularly through R programming packages that address spatial autocorrelation challenges in machine learning. His work spans environmental monitoring, landscape ecology, and geospatial analysis with practical applications in understanding climate change impacts, forest fragmentation, and permafrost degradation. His publication record demonstrates a strong focus on methodological development in spatial data science, with numerous recent publications on spatial machine learning frameworks, computational landscape ecology, and specialized software tools. Nowosad's work shows a clear trajectory toward integrating advanced machine learning techniques with traditional spatial analysis methods to overcome limitations in spatial prediction and pattern recognition. Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) for the PRISM project (PReservation and RecognItion of Spatial patterns using Machine learning) Nowosad actively contributes to the open-source geospatial community through software development, including packages like spatialRF and contributions to spatial machine learning frameworks. His collaborative work spans multiple institutions including the University of Cincinnati, International Institute for Applied Systems Analysis, and various European research groups. He appears to be developing methodologies that will significantly impact how spatial patterns are recognized and preserved in environmental datasets, with applications ranging from Arctic landscape monitoring to forest conservation planning.

Julian FäthView profile

Research Fellow

• Remote Sensing
• Forest Hydrology
• Soil Moisture Monitoring
• +4 more

Dr. Julian Fäth is a Research Fellow at the Chair of Remote Sensing within the Institute of Geography and Geology at the University of Würzburg. Since May 2024, he has been leading the main working package "Forestry" in the EO4CAM project. His academic career spans forest science, remote sensing, and environmental geophysics with a focus on forest hydrology and soil moisture dynamics across temperate forest ecosystems in Germany. His educational background includes: PhD in Forest Nutrition and Water Balance from the Technical University of Munich (2017-2021) Studies in Forestry Science at the Technical University of Munich (2011-2017) Dr. Fäth's research focuses on applying geophysical methods, particularly electrical resistivity tomography (ERT), to monitor soil moisture fluctuations in forest ecosystems. His work bridges remote sensing technologies with traditional forestry practices to understand how forests respond to climate change, particularly drought stress. He investigates the complex interactions between soil properties, water availability, and tree health in temperate forests across Germany, with particular attention to beech decline under recurrent drought conditions. His publication record shows a strong trend toward integrating multiple monitoring approaches for soil moisture and forest hydrology. Recent work emphasizes 2D and 3D ERT techniques combined with traditional hydrological measurements to create comprehensive understanding of water dynamics in forest soils. His research increasingly addresses climate change impacts on forest ecosystems, particularly beech decline under recurrent drought stress, examining how individual neighborhood structure and soil properties influence tree survival. Dr. Fäth has been involved in several significant research projects including the EO4CAM project where he leads the forestry component. His collaborative work spans multiple institutions including the University of Würzburg and the Technical University of Munich. His research has practical applications for sustainable forest management under changing climatic conditions, providing critical insights for forest managers facing increasing drought frequency and intensity.

Robert PuckettView profile

Associate Professor

• Urban Entomology
• Invasive Species Ecology
• Biological Control
• +2 more

Robert Puckett serves as Associate Professor and Extension Entomologist in the Department of Entomology at Texas A&M University's College of Agriculture & Life Sciences. His research program focuses on urban entomology, invasive species ecology, and biological control methods. Puckett specializes in the biology and management of social insects including fire ants and termites, with applied research benefiting agricultural and urban environments. Research interests include: Behavioral ecology of invasive ant species Biocontrol strategies for urban pests Integrated pest management systems Landscape-scale invasion dynamics Socio-economic impacts of pest species Puckett's interdisciplinary publications span entomology, epidemiology, and petroleum engineering, demonstrating diverse methodological approaches. Recent works primarily examine HIV transmission modeling and geological formations, indicating broad scientific collaboration. As Extension entomologist, Puckett develops outreach programs translating research into practical pest management solutions for Texas communities.

• Environmental Geochemistry
• Inorganic Geochemistry
• Natural Resource Management
• +3 more

Dr. Clare Miller serves as an Adjunct Researcher in Environmental Geochemistry at the CODES ARC Centre within the School of Natural Sciences at the University of Tasmania. Simultaneously, she works as a Senior Scientific Officer at the Environmental Protection Agency, Tasmania (EPA), where she focuses on the Savage River Rehabilitation Project - a unique joint arrangement between Government and Grange Resources aimed at reducing impacts of past mining at Savage River. Dr. Miller earned her PhD from Queen's University Canada in 2020 with research titled 'Arsenic mobility in a changing northern climate: Implications for geochemical baselines and long-term stability of contaminants in lake systems.' Her undergraduate studies also took place at Queen's University Canada, where she completed a BScH in 2013 with research on 'Removal of arsenic trioxide from a simulated human gastrointestinal system through adsorption onto Fe-oxides.' Dr. Miller's research spans three primary areas: (1) informing remediation activities at legacy mine sites; (2) developing innovative strategies to mitigate mining impacts on environmental and community health; and (3) understanding climate change effects on mining activities, metal mobility, and baseline geochemical conditions. Through field-based sampling and microanalytical laboratory techniques, her work aims to minimize natural resource development impacts on ecosystems and human health. Her research often focuses on mineralogical controls on metal(loid) mobility in mine waste and environmental systems, with particular attention to arsenic behavior in changing environments. Analysis of Dr. Miller's publication record reveals a strong focus on environmental geochemistry with emphasis on mining impacts and climate change interactions. Her research consistently examines how contaminants move through ecosystems, particularly in northern environments, with special attention to arsenic mobility. Much of her work combines field-based sampling with advanced laboratory techniques to understand long-term contaminant stability. A significant portion of her recent publications addresses remediation strategies for legacy mine sites, particularly in Western Tasmania, demonstrating practical applications of her research. Beach Meadows Teaching Assistant Award, 2019 Greg Heath Teaching Assistant Award, 2018 Gord and Katherine Keep Teaching Assistant Award, 2017 Hemmera Teaching Assistant Award, 2017 Griff Murphy and Anny Raymond Teaching Assistant Award, 2016 Dr. Miller actively supervises doctoral students on projects related to mine waste characterization, remediation strategies, and geoenvironmental studies. She has secured substantial research funding through multiple consultancy and contract research projects, totaling over $500,000, primarily from the Department of State Growth (Tasmania) and Natural Resources Canada. Her funded projects focus on innovative solutions for mine rehabilitation, geoenvironmental characterization of mine wastes, and understanding climate change impacts on mining activities. Dr. Miller's teaching experience spans geoscience subject areas including geological field methods, earth systems engineering, hydrogeology, and engineering site investigation. Dr. Miller collaborates extensively through the CODES ARC Centre at the University of Tasmania and the Off-Campus Collaboration Network. Her work with indigenous communities in northern Canada during her graduate studies has informed her approach to community engagement in environmental research. At the EPA, she works within multidisciplinary teams focused on environmental protection and remediation projects, particularly the Savage River Rehabilitation Project which represents a significant government-industry partnership.

• Bayesian Statistics
• Parametric Inference
• Information Theory
• +7 more

Professor Camila Caiado is affiliated with Durham University as a Professor in the Faculty of Science, Department of Mathematical Sciences . Her research spans Bayesian Statistics, Parametric Inference, Information Theory , and Stochastic Processes , with interdisciplinary applications in Health Informatics and Geophysics . Key Research Themes : Uncertainty Quantification, Computational Statistics, Decision Theory, and Applications of Bayesian Methods in Complex Systems Notable Collaborations : Atom Bank, Healthcare Institutions, Petroleum Engineering Projects Recent Publications focus on digital twin banking models , healthcare utilization during pandemics , and geochronological uncertainty analysis . She employs agent-based modeling and machine learning for pandemic planning and medical diagnostics. Academic Leadership : Active in Durham Research Methods Centre and Institute for Data Science. No formal awards or supervisees are explicitly mentioned in available data.

• Visual Attention
• Eye Movement Research
• Scene Perception
• +5 more

Professor Ben Tatler serves as Chair in Psychology and Dean for Research Culture at the School of Psychology, University of Aberdeen. He has been a Professor of Psychology at the University of Aberdeen since 2015 and previously held positions as Lecturer, Senior Lecturer, and Reader at the University of Dundee starting in 2004. His academic journey began with an undergraduate degree in Natural Sciences (Biological) at the University of Cambridge in 1998, followed by a DPhil in Neuroscience at the University of Sussex in 2002, where he also worked as a postdoctoral fellow. His educational background includes: MA Natural Sciences (Biological) - University of Cambridge (1998) DPhil Neuroscience and Psychology - University of Sussex (2002) Professor Tatler's research focuses on understanding how vision supports natural behavior, specifically addressing two fundamental questions: where we look and what we encode and retain from the objects we look at. He emphasizes studying vision in the context of natural behavior in real environments rather than exclusively in laboratory settings. His work contributes to theoretical understanding of factors underlying decisions about where to look in complex scenes and the representations that underlie natural vision. He applies these research interests to real-world problems including hazard perception in driving, CCTV surveillance, and how comics can be used for conveying public health information. His recent publications demonstrate a consistent focus on eye movement patterns, scene perception, social attention, and applied visual cognition across various contexts. Professor Tatler has secured significant research funding including: Comics vs. Covid: informing and evaluating the design of public health information comics (SGSSS PhD studentship, 2021-2024) Giving cognition a helping hand: how gesture facilitates spatial thinking (Leverhulme Trust, £118,822, 2020-2021) Adult aging and social attention: the role of cognitive decline and social motivation (ESRC, £625,615, 2017-2020) He is actively involved in mentoring, currently accepting PhD students in Psychology, and teaches courses including Biological Psychology, Methodology B, Critical Review, Psychology Thesis, Core Principles: Individual Differences, Cognitive and Biological, and Quantitative and Qualitative Methods and Research Design. Professor Tatler maintains professional affiliations as a Fellow of the Higher Education Academy, Chartered member of the British Psychology Society, and member of several professional societies including the Experimental Psychology Society, Applied Vision Association, and Psychonomic Society.