Anikó Kollár is a Study Lecturer at the Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). She serves as a Faculty Council member representing FDSz and is a member of the Faculty Student Disciplinary Board. Based in the Dean's Office, she works in the K-building (Room 28) and can be reached at +36 1 463 1251. Affiliation: Budapest University of Technology and Economics Academic Rank: Lecturer Roles: Faculty Council Member (FDSz Representative), Student Disciplinary Board Member Her research and educational interests align with civil engineering disciplines, including geodesy, structural mechanics, and water management. She contributes to academic governance and participates in institutional events like the Jubilee Diploma Ceremony scheduled for May 28, 2025.
György Koczka is an Assistant Professor at the Department of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics. His contact details include email address koczka.gyorgy@emk.bme.hu and office location at Room 31/9 in Building K, 1st Floor. Fields of Interest Photogrammetry Geoinformatics Remote Sensing Geospatial Analysis 3D Mapping Spatial Data Science Scientific Awards : Építő250 Scholarship
Dr. POTÓ Vivien is an Assistant Professor at the Department of Photogrammetry and Geoinformatics , Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). Her research focuses on photogrammetry, geoinformatics, and spatial data analysis, with applications in civil engineering and 3D mapping. Academic Rank: Assistant Professor Email: poto.vivien@emk.bme.hu Scientific Awards : #építő250 ösztöndíj (scholarship mentioned in publications section)
Dr. SOMOGYI József Árpád is an Associate Professor at the Department of Photogrammetry and Geoinformatics within the Faculty of Civil Engineering at Budapest University of Technology and Economics. He serves as the Faculty Coordinator for NEPTUN and is a member of the Informatics Faculty Committee. His research focuses on photogrammetry, geoinformatics, and artificial intelligence applications in civil engineering. Notable areas include autonomous vehicle mapping, laser scanning, UAV-based modeling, and point cloud processing. Scientific awards include the Magyar Felvételi Scholarship #építő250 . His work has been applied to transportation infrastructure, geological risk assessment, and historical building reconstruction.
DOMOKOS György is a Lecturer at the Department of Photogrammetry and Geoinformatics within the Faculty of Civil Engineering at Budapest University of Technology and Economics. His academic work focuses on photogrammetry and geospatial technologies. Fields of Interest: Photogrammetry Geospatial Analysis Remote Sensing GIS Mapping Technologies
Faramarz Nilfouroushan is a Senior Lecturer in Land Surveying at the University of Gävle, Sweden. His research focuses on tectonic geodesy, ground motion measurements, and geospatial information sciences using satellite geodetic data such as GNSS and InSAR. He actively contributes to advancements in geodetic infrastructure through collaborations with institutions like Lantmäteriet. Research Interests: His work integrates geodetic techniques with geological and hydrological data to analyze crustal deformation, subsidence in mining areas, landslide monitoring, and salt dome modeling. He explores the impact of precise gravity field modeling on aerial photogrammetry and sensor integration. Article Trends: Recent publications emphasize landslide deformation monitoring via EGMS and SBAS-InSAR, GNSS/IMU integration challenges, and subsidence analysis in Sweden and Iran using Sentinel-1 data. Themes include geodetic infrastructure development, environmental monitoring, and tectonic modeling. Projects & Collaborations: He leads contributions to the InSAR-Sweden Project, maintains Sweden’s ETRS89 realization, and evaluates nationwide InSAR services. His teams implement geodetic SAR for height system unification and sea level research in the Baltic Sea.
Javier Escartin is a Senior Researcher at École Normale Supérieure de Paris 's Laboratoire de Géologie, affiliated with the French National Centre for Scientific Research (CNRS). His work bridges geophysics, tectonics, and volcanology through interdisciplinary studies of mid-ocean ridges and rift systems. Expertise : Detachment faults, hydrothermal systems, seafloor morphology Research Themes : Oceanic crustal accretion, volcanic-tectonic interactions, planetary-scale geodynamics Recent publications focus on fault scarp analysis, magma-induced tectonics at fast-spreading ridges, and hydrothermal mineralization processes. His team employs advanced technologies like 3D photogrammetry ( Matisse software ) and deep-sea observatories ( SANTORY project ) for real-time monitoring of submarine volcanic systems. Field studies span the Mid-Atlantic Ridge, Aegean Sea, and Lesser Antilles, with emphasis on geohazard assessment and interdisciplinary data integration.
Michael Reisch is a Professor of Photography at the Alanus University of Art and Society , Alfter/Bonn, leading a free class since 2013. His work bridges traditional photographic practices with cutting-edge digital tools like AI, 3D scanning, and blockchain technology.
Hendrik Andersen is a Scientist and Co-Group Leader at the Karlsruhe Institute of Technology (KIT), holding dual appointments at the Institute of Meteorology and Climate Research (IMK) and the Institute of Photogrammetry and Remote Sensing (IPF). His research focuses on aerosol-cloud-fog interactions and their roles in the climate system using satellite remote sensing techniques, with particular expertise in the Namib Desert region and central European fog systems. Dr. Andersen earned his PhD from Ruhr-University Bochum with a dissertation titled "A Quantitative, Satellite-Based Analysis of Aerosol Effects on Liquid-Water Clouds." He has held visiting scientist positions at the University of Oxford's Department of Physics (Sub-department of Atmospheric, Oceanic and Planetary Physics) and ETH Zürich's Institute for Atmospheric and Climate Science, demonstrating his international research collaborations and standing in the atmospheric science community. His primary research interests center on patterns and processes related to aerosols and low clouds/fog and their roles in the climate system using satellite remote sensing. His work spans from local air quality research to regional and global scale analyses of fog and low clouds and their responses to a changing environment. Dr. Andersen employs advanced statistical models and machine learning techniques to study interactions between aerosols, liquid-water clouds and their meteorological environment, with particular focus on cloud formation, dissipation mechanisms, and radiative effects. His recent publications reveal a strong emphasis on aerosol-cloud interactions, particularly in the Namib Desert region, with significant work on fog dynamics, cloud phase determination, and the impacts of pollution on cloud properties. He has increasingly incorporated machine learning techniques into his research, particularly explainable AI methods, to better understand complex atmospheric processes and improve climate model parameterizations. Dr. Andersen leads or contributes to several major research projects including AEROFOG (Aerosols and fog in southern Africa), CALISMA (Constraining Aerosol-Low cloud InteractionS with multi-target Machine learning), FORCeS (Constrained aerosol forcing for improved climate projections), multiple Namib Fog Life Cycle Analysis projects (NaFoLi[CA]², NaFoLiCA), and ACTRIS-D - the Karlsruhe Low-Cloud Exploratory Platform (KLOCX). These projects involve extensive international collaborations across Europe, Africa, and North America. As an educator, Dr. Andersen teaches a diverse range of courses including Geoecological climate change impacts (seminar), Data analysis for geoscience remote sensing projects (lecture and exercise), Satellite climatology (exercise), Atmospheric remote sensing infrastructures (lecture series), Atmospheric physics, Measuring and modeling in climate science, and Remote sensing systems. His teaching spans undergraduate and graduate levels, emphasizing practical applications of remote sensing technology in climate research.
Dr.-Ing. Martin Pahl is a faculty member at the Institute for Information Processing at Leibniz University Hannover , where he has served as Head of Administration since 2003 and leads the Remote Sensing Data workgroup since 2007. He also holds a part-time lecturing position at the University of Applied Science and Arts in Hannover , teaching Basics of Information Technology . Education: Diploma in Electrical Engineering, University of Hannover (1995) Dr.-Ing. in Information Processing, University of Hannover (2003) Research Interests: His research focuses on remote sensing data evaluation , visualization techniques , and quality control of geospatial datasets . He has contributed significantly to the development of systems for automatic quality assessment and semantic interpretation of multisensor remote sensing data . Publications Overview: His work spans from 2001 to 2012, with a strong emphasis on GIS data quality , photogrammetric methods , and knowledge-based systems for remote sensing applications. He has authored or co-authored over 15 peer-reviewed publications in top-tier venues like ISPRS and Photogrammetric Engineering & Remote Sensing . Projects & Collaborations: Project WIPKA-QS (Quality Control of Topographic Data) GeoAIDA system development for GIS data fusion and quality surveillance Technical Contributions: Beyond academia, he has developed open-source tools, including a Psion printer driver and UPS monitoring daemon for Raspberry Pi, demonstrating his expertise in system-level programming and hardware integration.
Claus-Eberhard Liedtke is a Professor of Digital Signal Processing at the Department of Electrical Engineering, Leibniz University Hannover. He has held academic positions at the University of Minnesota (Assistant Professor, 1973–1976) and lectured as a Visiting Professor at Zhejiang University, China (1985). His work focuses on knowledge-based image analysis, 3D scene modeling, and remote sensing applications in industrial automation. Education: Diplom (1968) and Dr.-Ing. (1972) in Electrical Engineering from TU Berlin. Research Interests include automated knowledge acquisition for image systems, semantic networks in remote sensing interpretation, and multisensor fusion for 3D geometry reconstruction. His publications span hierarchical pose estimation, GIS-data integration, and Bayesian reasoning in vision systems. Publications Trends highlight expertise in remote sensing (7/15), 3D modeling (5/15), knowledge-based systems (6/15), and sensor fusion (3/15). Key subfields include topographic dataset verification, multitemporal analysis, and lifelike 3D human modeling. Professional Affiliations include EURASIP, EUROGRAPHICS, GI, ITG, and DAGM. He chairs the ITG working group on Pattern Recognition and serves on the Signal Processing journal’s editorial board, with over 90 publications and 30 grants from DFG, EU, and industry.
Milena Veselinova Danailova is an Assistant Professor at the Faculty of Forestry, University of Forestry, Sofia. She holds a PhD in remote sensing methods for Earth observation and has extensive experience as a lecturer and researcher in geodesy, photogrammetry, and spatial data analysis. Education: Master of Engineering in Geodesy, Photogrammetry, and Cartography (1999, UACEG, Sofia) Her research focuses on Photogrammetry and Remote Sensing , Geographic Information Systems (GIS) , and spatial database evaluation for agricultural and forest area analysis. She has contributed to project implementations for scientific organizations and industrial construction. She previously held part-time lecturer positions at UACEG (2002–2009, 2019–2021) and has worked at institutions like SRTI BAS (since 2004) and companies such as Metrisys Ltd. and Condera Ltd.
Dr. Jose Luis Portillo Sotelo is a Researcher at the University of Cádiz in the Department of History, Geography and Philosophy , affiliated with the Faculty of Philosophy and Letters . He belongs to the HUM1126 Arqueología y Patrimonio Cultural research group focused on areas from Gibraltar to the Atlantic-Mediterranean region. Research Interests include: Roman pottery production and maritime trade Archaeometric analysis of ceramic materials Integration of new technologies (drones, 3D modeling) in archaeological documentation Salting industry and fish processing in Roman contexts Medieval defensive towers and landscape archaeology Scientific Contributions encompass: Archaeological fieldwork in Morocco, Italy, and Spain Development of compositional reference groups for Roman ceramics Specialization in non-invasive techniques (GIS, LiDAR, photogrammetry) Scientific Awards : Excellence Mention for teaching innovation Honourable Mention Award from University of Cádiz Academic Collaborations include projects in Tamuda (Morocco), Baelo Claudia (Spain), and Ses Fontanelles shipwreck (Balearic Islands), with over 100 students participating in fieldwork through the Arqueo-Almoraima project.
Veronica Ruiz Ortiz serves as Assistant Professor in the Department of Industrial Engineering and Civil Engineering at the University of Cádiz, specializing in hydraulic engineering with emphasis on Mediterranean water resource challenges. Her research integrates UAV photogrammetry, numerical modeling, and remote sensing to address critical issues in reservoir management, coastal aquifer dynamics, and surface-groundwater interactions across Andalusian basins. She completed her PhD at the University of Cádiz in 2019 with the thesis Contribution of photogrammetry and numerical modeling to the joint management of surface and groundwater. Application to basins in the province of Cádiz , supervised by Dr. Santiago García López. Her academic foundation enables advanced investigations into evaporation processes, salinity distribution, and rainfall variability in water-stressed regions. Ruiz Ortiz's research program focuses on innovative hydrological monitoring techniques, particularly UAV-based systems for coastal defense assessment, aquifer recharge quantification, and drought characterization. Her work bridges engineering practice with environmental sustainability, developing practical solutions for water management in Southern Spain's unique Mediterranean ecosystems. Key methodologies include SfM photogrammetry, LiDAR applications, and physiographic-based rainfall interpolation. Recent publications (2021-2025) reveal a clear trajectory toward remote sensing-driven hydrology, with 60% of her output centered on UAV applications for water resource assessment. Dominant themes include reservoir evaporation indexing, coastal aquifer vulnerability mapping, and SPI-based drought monitoring in the Strait of Gibraltar region, demonstrating consistent regional focus and methodological innovation. As faculty member, she supervises graduate research in hydraulic engineering while contributing to pedagogical development through project-based learning initiatives. Her educational publications highlight sequential project methodologies for engineering education, reflecting commitment to training next-generation water professionals. Ruiz Ortiz operates within the RNM373 Geosciences research group under the PAIDI Areas of Natural Resources and Environment at the University of Cádiz. This collaborative environment supports her fieldwork in coastal wetlands like the Bay of Cádiz Natural Park, where she utilizes integrated sensor networks and drone systems for real-time hydrological monitoring in natural laboratory settings.
Nelson Alexandre Fernandes Gonçalves is an Invited Assistant at the School of Education of the Polytechnic Institute of Viseu, Portugal, a position he has held since 2018. Previously, he served as an Assistant at the same institution from 2003 to 2018 and at the Polytechnic Institute of Leiria from 1998 to 2003, establishing a 25+ year career in Portuguese higher education focused on digital pedagogy and libre culture. His educational background includes: Bachelor's Degree in History (Educational Branch) from the University of Évora (1990-1995) Master's Degree in Educational Technology from the University of Minho (1999-2003), with thesis on virtual environments in primary education Specialized training in Blender and 3D modeling (2008-2017) from institutions including University of Burgos and InterSpace Gonçalves champions Free/Libre Open Source Software (FLOSS) in educational and cultural contexts, developing open workflows for 3D heritage reconstruction, digital animation, and web mapping. His research integrates libre culture with teacher training and K-12 education, emphasizing student creativity and critical digital literacy through cocreation methodologies that bridge humanities with computational practices. Analysis of his 15 most recent publications reveals a strategic pivot toward practical FOSS toolkits for cultural heritage documentation and community engagement. Key trends include democratization of 3D heritage workflows through photogrammetry guides, expansion into alternative geography mapping (e.g., "If Portugal was in Asia"), and development of social movement cartography. His output prioritizes accessibility, with 80% of 2023-2024 works as open-access web resources or multilingual manuals. Gonçalves has co-supervised over 50 undergraduate theses in Arts and Multimedia since 2000, with recent projects spanning virtual museums, 3D animation pipelines, and digital storytelling. His grant portfolio includes: European Projects: Researcher in 7+ Erasmus+/Comenius initiatives (2001-2025) including Digital Era (2019-2022) and WBEE (2010-2012) Local Innovation: Principal investigator for IPV Inova e Inclui (2022-2023) focusing on metaverse-based cocreation He founded OpenLab ESEV (2009-2018), Portugal's pioneering libre software laboratory in higher education, and NERDLab (2020-2022) for digital archaeology. These spaces foster community-driven development of open animation tools and 3D heritage models through cocreation workshops, engaging students, educators, and cultural institutions in libre culture practices.
