Photogrammetric Computer Vision Professors and Supervisors

Sander Oude ElberinkView profile

Associate Professor

University of TwenteNetherlands

Sander Oude Elberink is an Associate Professor at the Department of Earth Observation Science, International Institute for Geo-Information Science and Earth Observation (ITC), University of Twente. He is also affiliated with the Digital Society Institute. He holds a PhD from ITC (2010) and a Geodetic Engineering degree from Delft University of Technology (2000). His research focuses on information extraction from point clouds and 3D reconstruction using fused topographic maps and laser data. Education: PhD: 'Acquisition of 3D Topography' (ITC, 2010) Master's: Geodetic Engineering (Delft University of Technology, 2000) Research Interests: His work spans 3D point cloud analysis , LiDAR technology , UAV-based remote sensing , and digital twin development . Recent efforts include semantic segmentation algorithms for urban modeling and energy-related infrastructure analysis. His research bridges geospatial data science with practical applications in urban planning and environmental monitoring. Notable Projects: 3D BGT tool development for hydrological applications 3DTOP10NL national 3D topography model collaboration Capacity-building initiatives in India (IIRS joint program) Awards: ISPRS Giuseppi Inghilleri Award (2016), ITC Research Award (2009), and ISPRS Young Author Award (2008). Advising: Supervised over 25 master’s students and co-promoted PhD candidates including Biao Xiong, Sudan Xu, and Amrollah Seifoddini. Current projects involve UAVPal dataset development and semantic segmentation in complex urban environments. Labs & Teams: Active in the ITC research group, contributing to UN SDG initiatives related to sustainable cities (SDG 11) and responsible consumption (SDG 12) through 3D modeling innovations.

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Andry Maykol PintoView profile

Assistant Professor

University of MinhoPortugal

Andry Maykol Pinto is a Senior Researcher at the Center for Robotics and Autonomous Systems at INESC TEC and an Assistant Professor at the Faculty of Engineering of the University of Porto. He earned a Ph.D. (2014) and M.Sc. (2010) in Electrical and Computer Engineering from the University of Porto, focusing on Robotics. Research Interests: His work spans Robotics, Autonomous Vehicles, Machine Learning, Underwater Imaging, 3D Reconstruction, and Marine Robotics. He develops advanced perception systems for UAVs and AUVs, focusing on multimodal data fusion, visual transformers, and reinforcement learning to address navigation and reconstruction challenges in offshore and underwater environments. Supervised Theses (2023): Eduardo Jorge Pereira Gonçalves: Deep learning for visual odometry in ASVs Daniel Filipe Barros Campos: Multi-domain awareness for offshore wind farm inspection João Afonso Borges Carvalho: AI for marine growth classification Francisco Soares Pinto da Silva Neves: RL-based UAV inspection of windmills João Basto do Rosário: Ego motion analysis from video data Gabriel da Silva Martins Loureiro: Edge intelligence for seafloor perception João Francisco Sengo Guimarães: Machine vision for deep-space images Maria Inês Rodrigues Pereira: Multi-agent RL for maritime perception João Rodrigues Mina: Quality assessment for underwater imaging Rafael Marques Claro: Robust UAV landing perception Contact: andry.m.pinto@inesctec.pt | +351228340554

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Øyvind ØdegårdView profile

Research Professor

Norwegian University of Science And TechnologyNorway

Øyvind Ødegård is a senior researcher in marine archaeology at the Department of Archaeology and Cultural History, NTNU University Museum, affiliated with the Centre for autonomous marine operations and systems and Applied Underwater Robotics Laboratory. His research focuses on developing advanced technological approaches to underwater archaeology, including sensor-carrying platforms, autonomous systems, and remote sensing methods for documenting cultural heritage. His education includes doctoral research focused on autonomous operations in marine archaeology. Research interests include: Underwater robotics for archaeological mapping Hyperspectral imaging applications in marine archaeology Non-destructive geophysical methods Arctic marine ecology and archaeology intersections Computational archaeology methods Publications show consistent focus on technological innovation in underwater documentation, with recent work exploring drone applications, multi-sensor integration, and climate impacts on marine heritage. Awards include recognition for innovative archaeological methods. Leads field operations in challenging environments including Arctic regions and Mediterranean underwater sites. Directs field operations using ROVs, AUVs and surface vessels. Collaborates internationally on projects including Oppdrag Mjøsa and Mediterranean archaeological surveys. Research has been demonstrated in high-profile archaeological investigations including documentation of world's northernmost shipwrecks.

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Zaide DuranView profile

Professor

Istanbul Technical UniversityTurkey

Prof. Zaide Duran is a Professor at the Department of Geomatics Engineering, Faculty of Civil Engineering, Istanbul Technical University. She specializes in Photogrammetry, GIS, and Information Technologies in Planning. Her research focuses on 3D modeling, point cloud segmentation, and deep learning applications in geomatics. Education: PhD in Geodesy and Photogrammetry Engineering from Istanbul Technical University (2003). Academic roles include Vice Dean (2016-2017), Associate Professor (2015-2022), and leadership in multiple university committees. Key projects include BIM-based fire evacuation simulations, 3D modeling of historical instruments, and AI-driven point cloud analysis. She has led over 10 research projects funded by Turkish Higher Education and public institutions, with a focus on urban development and cultural heritage preservation. Publications emphasize semantic segmentation, remote sensing, and GIS integration. Her work contributes to sustainable urban planning and disaster management through advanced geospatial technologies.

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Muhammed Enes AtikView profile

Assistant Professor

Istanbul Technical UniversityTurkey

Muhammed Enes Atik is an Assistant Professor in the Department of Geomatics Engineering at Istanbul Technical University (ITU), affiliated with the Faculty of Civil Engineering. His academic roles include teaching and research supervision. He holds a PhD (2018), MSc (2016), and BSc (2011) in Geomatics Engineering from ITU. His research focuses on remote sensing, deep learning applications in geospatial data, UAV-based photogrammetry, and point cloud processing. Education: PhD in Geomatics Engineering, Istanbul Technical University, 2011–2018 MSc in Geomatics Engineering, Istanbul Technical University, 2016–2018 BSc in Geomatics Engineering, Istanbul Technical University, 2011–2016 Research Interests: Enes Atik specializes in integrating deep learning techniques with geomatics engineering to enhance photogrammetric applications, UAV data analysis, and point cloud segmentation. His work bridges remote sensing, GIS, and computer vision to address challenges in urban planning, disaster management, and infrastructure monitoring. Key areas include: 3D modeling and semantic segmentation of point clouds Optimization of UAV-based photogrammetric workflows Machine learning for remote sensing image classification Flood susceptibility analysis using GIS and AHP Cultural heritage documentation via laser scanning and photogrammetry Awards: IEEE GRSS Türkiye Thesis Competition Award (2022) Muhammed Enes Atik Prize for Student Excellence (2021) 3-Minute Thesis Competition Award (IEEE GRSS, 2024) Grants & Projects: Principal Investigator: 'Deep Learning-Based Disparity Map Estimation and DEM Generation from UAV Imagery' (2023–2025) Co-Investigator: '3D Modeling of Historical Instruments' (2021–2023) Lead Researcher: 'Flood Simulation Using Game Engines' (2024–ongoing) Teaching: Enes Atik instructs courses in programming fundamentals, photogrammetry, geomatics projects, and laser data engineering at both undergraduate and graduate levels.

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Andrew WoodsView profile

Associate Professor

Curtin UniversityAustralia

Associate Professor Andrew Woods is a prominent academic and researcher in stereoscopic 3D imaging, underwater technology, and maritime archaeology at Curtin University. He holds roles as Manager of the Curtin HIVE (Hub for Immersive Visualisation and eResearch) and Research Fellow at the Centre for Marine Science & Technology (CMST). Previously, he served as Director of CMST (2002–2004) and co-chairs the annual Stereoscopic Displays and Applications (SD&A) conference. Woods earned a PhD in stereoscopic display technology, alongside MEng and BEng (Hons) degrees in Electronic Engineering. His research focuses on advancing 3D imaging systems, ROV technology, and applying these innovations to marine archaeology and oil/gas sectors. Notable projects include the Mini-3D underwater camera and photogrammetric surveys of shipwrecks like HMAS Sydney II. His work has been recognized with awards such as the 2023 Tall Poppy Award, Fellow of SPIE, and 2017 'Australia’s Most Innovative Engineers' designation. Over 30+ students have been supervised in areas ranging from VR simulation to underwater robotics. Key contributions include publications on crosstalk reduction in 3D displays, VR applications in heritage preservation, and 3D reconstruction of historical sites. Woods actively engages with industry through technical products like stereoscopic cameras and standards development, while media highlights include features in Create Magazine and ABC News. His labs (Curtin HIVE and CMST) drive interdisciplinary projects blending engineering, archaeology, and computer science.

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Matti KurkelaView profile

Researcher

Aalto UniversityFinland

Matti Kurkela serves as a Staff Scientist at Aalto University's Department of Built Environment, specializing in advanced 3D measurement technologies and geospatial applications. His work integrates laser scanning, photogrammetry, and mobile mapping systems for environmental and built environment analysis. His educational background includes a Doctoral degree in Engineering and Technology from Aalto University (awarded December 30, 2022), a Licentiate degree from the same institution (December 17, 2013), and a Master's degree in Arts and Design from the University of Lapland (December 17, 2007). Research focuses on terrestrial laser scanning (100% fingerprint match), mobile mapping (50%), photogrammetry (37%), point cloud processing (34%), and vegetation analysis (31%). His work contributes to UN Sustainable Development Goals through environmental monitoring and sustainable development applications. Recent publications show strong emphasis on photorealistic visualization, educational technology, and infrastructure analysis. National Open Science Award (2019) for collaborative open data initiatives Key contributor to EU-funded projects including RADIAL (construction digitalization) and Co-creation of Autonomous Future Active in organizing academic workshops on 3D measurement technologies and has participated in international collaborations including University College London visits. His datasets on Zenodo demonstrate practical applications in lighting analysis and pavement measurement. Current research integrates laser scanning with emerging technologies for urban and environmental challenges.

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Krzysztof SkabekView profile

Assistant Professor

Cracow University of TechnologyPoland

Krzysztof Skabek is an Assistant Professor at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Krakow University of Technology. His research focuses on photogrammetry, 3D reconstruction, computational geometry, and their applications in architecture, medicine, and cultural heritage preservation. Specializes in LiDAR and photogrammetric data fusion Develops algorithms for 3D surface modeling and mesh optimization Applies geometry techniques to biomedical devices (e.g., occlusal splints) Active in virtual reality systems and forensic documentation His work emphasizes accuracy verification, sensor integration (iPad LiDAR, low-cost scanners), and cross-disciplinary applications in heritage preservation and orthodontics. Bibliometric metrics include an h-index of 4 (Scopus/WoS), total impact factor 3.9, and ministerial score of 750. No teaching or leadership roles mentioned beyond his faculty position. Email: kskabek@pk.edu.pl

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Friedrich FraundorferView profile

Professor

Graz University of TechnologyAustria

Friedrich Fraundorfer is a Professor at Graz University of Technology, specializing in 3D Computer Vision and Autonomous Systems at the Institute of Computer Graphics and Vision (ICG). He has held academic positions at institutions including ETH Zurich, University of North Carolina at Chapel Hill, and Technische Universität München, where he served as Deputy Director of the Chair of Remote Sensing Technology. Research : Focuses on Micro Aerial Vehicle (MAV) autonomy, Visual-Inertial Fusion, and Multi-View Geometry. Projects : Led EU-funded SFly (autonomous MAVs for search-and-rescue), SNF MAV (camera-only 3D mapping), and VCharge (vision-based self-driving cars). Teaching : Offers courses like 'Camera Drones' and 'Mathematical Principles in Vision.' His Pixhawk project created open-source MAV platforms adopted globally. Key Collaborations : With NVIDIA, Volkswagen AG, University of Zurich, and German Space and Aerospace Center (DLR). His students (e.g., Dominik Hirner, Rafael Weilharter) have published on lightweight CNNs for stereo vision and self-supervised 3D reconstruction.

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Niclas BorlinView profile

Associate Professor

Umea UniversitySweden

Niclas Borlin is an Associate Professor at the Department of Computing Science, Umeå University. His research specializes in photogrammetry, bundle adjustment algorithms, and 3D measurement techniques, with applications spanning computer vision, remote sensing, and geospatial analysis. He maintains an active role in academic research with no indications of retirement or part-time status. Research Focus: Borlin's work centers on developing computational methods for photogrammetric data processing. Key areas include: Bundle adjustment optimization and modular algorithm design Terrestrial and UAV-based photogrammetry for environmental/architectural documentation Laser scanning calibration and error quantification Medical imaging techniques for orthopedic applications Awards: Talbert Abrams Award (2020) for contributions to photogrammetry His publications demonstrate consistent focus on improving accuracy in 3D measurements through computational innovations, with recent work emphasizing open-source tools like the Damped Bundle Adjustment Toolbox (DBAT).

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Moritz KinzelView profile

Researcher

University of CopenhagenDenmark

Dr. Moritz Kinzel serves as an External Researcher in the Department of Cross-Cultural and Regional Studies at the University of Copenhagen's Faculty of Humanities. His research focuses on building archaeology and Neolithic architecture, with extensive fieldwork across the Middle East including significant projects at Göbekli Tepe (Turkey) and Shkarat Msaied (Jordan). PhD in Building Archaeology (Dr. Ing.), Technical University of Berlin (2011) M.Sc. in Heritage Conservation, Technical University of Berlin (2006) Diplom Ingenieur in Architecture, Beuth Hochschule für Technik (2001) Dr. Kinzel's primary research encompasses Building Archaeology, Neolithic Architecture, Heritage Conservation, and Digital Archaeology methodologies. His work integrates traditional architectural analysis with cutting-edge digital techniques including 3D scanning, photogrammetry, and AR/VR applications. He has developed innovative approaches to documenting ancient structures through his involvement with the ABACUS 2.0 photogrammetry system and has pioneered the use of graphic novels for archaeological outreach through the Prehistory Graphic Outreach Initiative. Analysis of his 15 most recent publications reveals consistent focus on Neolithic architectural practices, particularly at Göbekli Tepe and Shkarat Msaied sites. His work demonstrates strong interdisciplinary connections between architectural history, digital humanities, and heritage conservation, with increasing emphasis on digital documentation methods and public engagement strategies since 2019. Key thematic threads include architectural modification processes, monumentality studies, and the application of proteomics to ancient bone analysis. Dr. Kinzel actively contributes to major international projects including the HeAT (Heritage and Threat) initiative addressing heritage preservation in crisis situations across Syria, Northern Iraq, Poland, Romania, and Italy. His collaborative approach is evident through extensive international partnerships reflected in his research output spanning multiple countries and institutions. His outreach efforts include the Prehistory Graphic Outreach Initiative producing graphic novels based on Shkarat Msaied research, and the HeAT project developing practical manuals for heritage threat management. Dr. Kinzel maintains active participation in academic discourse through conference presentations, peer review activities, and media engagement to disseminate findings from his Middle Eastern archaeological projects.

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Torsten SattlerView profile

Research Professor

Max Planck Institute for Intelligent SystemsGermany

Torsten Sattler is a Senior Researcher at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) at the Czech Technical University in Prague (CTU), where he heads the Spatial Intelligence group. Previously, he was a tenured Associate Professor at Chalmers University of Technology in Sweden and spent five years as a PostDoc and Senior Researcher at ETH Zurich in Switzerland. He received his PhD from RWTH Aachen University in Germany. His research focuses on the intersection of 3D computer vision and machine learning, with specific interests in image-based localization, 3D mapping and reconstruction, neural scene representations, and applications in robotics and AR/VR. He aims to make localization and mapping algorithms more robust by incorporating higher-level scene understanding. Dr. Sattler has published extensively at top computer vision conferences including CVPR, ICCV, and ECCV, with recent papers focusing on robust visual localization in changing environments, neural scene representations, and 3D reconstruction. His work has direct applications in autonomous systems and augmented reality. Best Paper Candidate at CVPR 2021 Best Paper Award at Photogrammetric Image Analysis 2019 Multiple Outstanding Reviewer Awards from 2015-2021 Ranked among top-10 computer scientists in Czech Republic by Research.com He currently supervises five PhD students and has served in various leadership roles including program chair for ECCV 2024, general chair for 3DV 2022, and area chair for multiple major conferences. His lab benefits from connections to the RICAIP Centre, one of the largest EU projects in AI and Industry 4.0, providing access to state-of-the-art infrastructure and industrial collaborations.

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Jakub SzulwicView profile

Assistant Professor

Gdańsk University of TechnologyPoland

Jakub Szulwic is an Assistant Professor at the Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. His work focuses on applying advanced geodetic and remote sensing technologies to solve complex problems in civil engineering, environmental monitoring, and cultural heritage preservation. Dr. Szulwic earned his doctoral degree in Geodesy and Cartography from the Faculty of Geodesy and Spatial Management at the University of Warmia and Mazury in Olsztyn in 2003. His academic journey has positioned him as a specialist in terrestrial laser scanning, photogrammetry, and geospatial data processing. Dr. Szulwic's research interests span across multiple domains of geospatial technology. His primary focus areas include geodesy , photogrammetry , remote sensing , lidar , terrestrial laser scanning , geoscience , civil engineering , geoinformatics , and geomatics . His work demonstrates how these technologies can be applied to diverse fields from structural engineering to environmental monitoring and agricultural technology. His publication record shows a consistent focus on practical applications of geospatial technologies. Recent work includes studies on HBIM (Historical Building Information Modeling), marine gravimetric measurements, light pollution monitoring, agricultural technology, and structural diagnostics. His research demonstrates a pattern of applying advanced scanning and imaging technologies to solve real-world problems across multiple domains including civil engineering, environmental science, and agriculture. Dr. Szulwic leads several significant research projects including PLAN-B (addressing light and noise pollution impacts on biodiversity), BalMarGrav (marine gravity mapping), SoURCE (utility risk/cost evaluation), and MarLS (3D laser scanning from vessels). These projects are funded by European programs including Horizon Europe, European Territorial Cooperation, European Space Agency, and European Regional Development Fund. He is actively involved in laboratory work and research teams focused on geodetic measurements, with particular expertise in laser scanning applications both on land and at sea. His work with the Department of Geodesy at Gdańsk Tech has established him as a key researcher in applying geospatial technologies to solve complex engineering and environmental challenges.

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Anette EltnerView profile

Assistant Professor

Dresden University of TechnologyGermany

Anette Eltner is a Junior Professor for Geosensor Systems at the Technical University of Dresden since 2021. Her work focuses on developing innovative methods for environmental monitoring using AI and remote sensing technologies. She leads research projects that aim to improve flood forecasting systems and monitor geomorphological changes through advanced imaging techniques. Her educational background includes: PhD in Geography from TU Dresden (2016), awarded by the German working group for geomorphology Diploma in Geography from TU Dresden (2010) with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology Professor Eltner's research spans multiple cutting-edge areas in geospatial technology and environmental science. She specializes in UAV photogrammetry and remote sensing, developing methods for precise geomorphological and hydrological monitoring. Her work integrates artificial intelligence with environmental sciences to create more accurate predictive models for natural processes. She focuses particularly on erosion processes in fragile landscapes and has pioneered techniques for spatio-temporal high resolution topography using laserscanning, structure-from-motion, and time-lapse imaging. Her innovative approach to image processing enables automatic feature detection and tracking in geographic applications, while her development of low-cost geosensor systems makes advanced monitoring accessible in resource-limited settings. Her publication record demonstrates consistent advancement from foundational photogrammetric techniques to sophisticated AI integration for real-time environmental assessment. The research shows increasing emphasis on practical flood warning applications and dynamic landscape monitoring, particularly for small waterways where traditional monitoring systems are lacking. Her notable scientific achievements include: PhD thesis award from the German working group for geomorphology (AK Geomorphologie) TUD Young Investigator status (recognizing excellent, independent junior research group leaders) Editorial board membership for Geoscientific Instrumentation, Methods and Data Systems and Photogrammetric Record Professor Eltner leads the "Artificial Intelligence for Flood Warning (KIWA)" project, evaluating camera-based water level monitoring systems along small tributaries of the Elbe River in Saxony. Her research group develops AI-supported methods to analyze water surface imagery and predict flood events in small waterways. She has secured funding for projects in Germany and internationally, including current work in Oman combining cameras and seismic sensors to monitor rare flood events in wadis. Her team is developing systems that allow sensors to communicate with each other for dynamic environmental monitoring. Her laboratory work focuses on developing cost-effective monitoring solutions using accessible technology like Raspberry Pi computers and standard cameras. She has demonstrated that these low-cost systems can effectively monitor significant landscape changes, making advanced environmental monitoring more widely available. Current projects involve creating 3D point cloud analysis methods that incorporate temporal components to better predict dynamic processes like soil erosion, rockfalls, and landslides.

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