Thomas P. Kersten is a Professor at HafenCity University Hamburg within the School of Geodesy and Geoinformatics , leading the Photogrammetry & Laser Scanning laboratory. His work bridges geomatics , 3D imaging , and cultural heritage preservation through cutting-edge UAV photogrammetry , terrestrial laser scanning , and virtual reality applications. Research interests focus on: Accuracy validation of photogrammetric and LiDAR systems Low-cost 3D sensor development (e.g., Raspberry Pi-based systems) Virtual Reality for cultural heritage sites (e.g., Al Zubarah Fortress, Michaelsen House) Historical building documentation using 4D modeling Mobile mapping for archaeological and urban contexts Article trends reveal expertise in UAV-based cadastral surveying , smartphone photogrammetry validation, and multi-sensor 3D reconstruction of archaeological and architectural sites. He leads fieldwork in Portugal, Qatar, and Germany while fostering academic collaboration through conference editorship (DGPF, ISPRS workshops).
Bruno Vallet is a Senior Researcher at IGN (French National Institute of Geographic and Forest Information) within the LASTIG lab and leads the ACTE research team since 2019. His work focuses on geospatial data processing, including LiDAR and image registration, 3D urban modeling, and computer vision applications. He contributes to projects like AI4GEO and Time Machine , specializing in large-scale point cloud analysis and structured city reconstruction. Education : Habilitation (HDR) in Geographic Information Science (Univ Paris-Est, 2016), PhD in Computer Science (Institut National Polytechnique de Lorraine, 2008), and Master's in Computer Vision (Telecom ParisTech, 2005). His research integrates surface reconstruction , semantic labelings , and uncertainty propagation , with methodologies applied to autonomous navigation and urban change detection. Recent publications emphasize data fusion, visibility computation, and deep learning for 3D scene analysis. He co-supervises PhD students and leads teaching activities at ENSG (National School of Geographic Sciences), covering image processing and 3D data structures. Bruno Vallet also chairs the ISPRS Working Group II/4 on 3D Scene Reconstruction, demonstrating leadership in photogrammetry and remote sensing communities.
Pierre Grussenmeyer is a University Professor and Lecturer in the Civil Engineering and Topography Department at INSA Strasbourg, where he also heads the Photogrammetry Laboratory within the ICUBE research unit (TRIO Team). His academic role encompasses teaching aerial/architectural photogrammetry, topometry, positional astronomy, and virtual modeling, while leading research in 3D documentation techniques for heritage and urban environments. His research specializes in photogrammetry , 3D modeling , and heritage documentation , with core expertise in camera calibration, close-range photogrammetry, industrial metrology, and photogrammetric software development (TIPHON/ARPENTEUR projects). Current work integrates deep learning for semantic segmentation of heritage structures, BIM for architectural modeling, and multi-sensor fusion (LiDAR, photogrammetry, GPS) for comprehensive spatial analysis of cultural sites and urban infrastructure. Analysis of his 2023-2025 publications reveals accelerating adoption of AI-driven methods, particularly for semantic segmentation of heritage point clouds and NeRF-based 3D reconstruction. His work bridges traditional photogrammetric precision with cutting-edge neural networks, focusing on practical applications like Rhine castle modeling, forensic scene documentation, and automated road marking extraction from mobile scans. Key trends include synthetic data generation for AI training and rigorous benchmarking of state-of-the-art reconstruction algorithms. Grussenmeyer supervises technological research projects (PRT) and end-of-studies projects (PFE) at INSA Strasbourg, while maintaining active industry collaborations through CIFRE theses with the Alsace region. His work extends to professional training through short continuing education programs, equipment expertise services, and R&D studies for working professionals in surveying and heritage sectors. As head of the Photogrammetry Laboratory, he directs research in architectural photogrammetry, industrial metrology, and virtual model development. Current lab initiatives include underwater crime scene documentation, tropical vernacular architecture preservation in Indonesia, and multi-sensor 3D pipelines for Javanese temples, emphasizing practical solutions for heritage conservation through photogrammetric innovation.
Niclas Börlin is an Associate Professor in the Department of Computing Science at Umeå University, Sweden, with his office located at MIT-huset, MIT.A.431 in Umeå. He leads the research group focused on Non-linear estimation and contact-free measurements, driving innovation in photogrammetric computation methodologies. His research spans Photogrammetry , Remote Sensing , Computer Vision , and Medical Imaging , with core expertise in bundle adjustment algorithms and radiostereometric analysis (RSA) . He pioneered the Damped Bundle Adjustment Toolbox (DBAT) for MATLAB, enabling robust verification of photogrammetric software through modular design principles. His work bridges theoretical optimization and practical applications in environmental monitoring, medical diagnostics, and industrial measurement systems. Analysis of his 2012-2020 publications reveals a dominant trend in modular bundle adjustment techniques , with significant contributions to covariance computation, underwater photogrammetry accuracy, and forestry applications. His research consistently emphasizes independent verification frameworks for photogrammetric software, addressing challenges in large-scale reconstruction, laser scanning bias, and architectural modeling. Börlin has secured funding for critical projects including the DBAT toolbox development (2018), RSA medical applications (2018), and non-linear least squares algorithms (2008-2009), demonstrating sustained impact across academic and clinical domains. His collaborative work with researchers like Murtiyoso and Grussenmeyer has established new standards for quality control in photogrammetric workflows. He directs a specialized research team developing contact-free measurement solutions, with the DBAT toolbox serving as their flagship contribution to open photogrammetric science. Their work directly impacts fields requiring high-precision 3D reconstruction, from orthopedic implant analysis to periglacial environmental monitoring.
Lars Bodum is an Associate Professor at the Department of Sustainability and Planning, part of The Technical Faculty of IT and Design at Aalborg University. His research focuses on geoinformation, urban development, and digital technologies, particularly 3D modeling, AI, and geovisualization for sustainable cities. He co-authored Denmark’s foundational GIS textbook and leads projects like the award-winning The Digital Underground , exploring subsurface infrastructure data. Education: PhD in Urban Planning (2000) and MSc in Chartered Surveyor (1990), both from Aalborg University’s Department of Sustainability and Planning. Research interests include data integration, Citizen Science, and Digital Twins. His work bridges academia with municipal and private sector applications, emphasizing practical solutions for infrastructure management and climate adaptation. Key projects include Effektiv anvendelse af 3D-scanninger (2024–2026) and NBRACER (2023–2027), focusing on climate resilience and nature-based solutions. He has received the 2021 Outstanding Review Award for peer review contributions. Labs/Teams: Danish Centre for Spatial Planning and the Centre for 3D GeoInformation. Collaborations span Denmark and international partners like the University of California, Davis.
Željko Santoši is an Assistant Professor in the Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects at the Faculty of Technical Sciences, University of Novi Sad. His academic roles include serving as Secretary of Chair since 2021. He holds a PhD in Mechanical Engineering (2020) and has been with the faculty since 2013, progressing through roles like Teaching Associate and Assistant with PhD. His research focuses on 3D digitization techniques using photogrammetry, reverse engineering applications in art and dentistry, and metrology for industrial quality control. Notable projects include developing photogrammetric systems for dental models and analyzing multi-material components via computed tomography. He has published extensively in journals like Measurement , Facta universitatis - series: Mechanical Engineering , and Tehnički vjesnik - Technical Gazette . His work bridges computer vision, manufacturing engineering, and biomedical applications.
Prof. Dr. habil. Till Sieberth holds a Professorship for Photogrammetry at Jade University and is a current member of the IAPG Institute. He leads the Laboratory for optical 3D metrology and maintains an office in Room G 210 with contact number +49 441 7708 - 3198. His academic work bridges theoretical geoinformatics with practical applications across multiple domains. Dr. Sieberth's research focuses on Photogrammetry , Optical 3D Metrology , and Forensic Imaging , with significant contributions to medical applications and cultural heritage preservation. His work demonstrates a consistent pattern of developing practical, cost-effective solutions for complex measurement challenges. Notable achievements include creating a cost-effective 3D documentation device for forensic medicine and investigating 3D bone reconstruction techniques for surgical applications. His research increasingly integrates traditional photogrammetric methods with deep learning approaches to enhance accuracy and efficiency in 3D measurement tasks. Analysis of Dr. Sieberth's recent publications (2024-2025) reveals a strategic focus on applying 3D metrology to forensic science and medical contexts. His work shows progression from basic measurement techniques to sophisticated applications involving deep learning for organ segmentation in postmortem CT scans and advanced 3D documentation systems. The consistent publication in both specialized workshops (Oldenburg 3D Days) and peer-reviewed journals demonstrates his commitment to both theoretical advancement and practical implementation. Dr. Sieberth actively supervises graduate research and leads multiple significant projects: Co-Head of the "Provenance and Collection Research Digital" project (2024-2028), funded by zukunft.niedersachsen, addressing colonial-era artifacts in German museums Co-Head of the "Model adaptation of generic rotor blades" project (2023-2026), funded by the Federal Ministry for Economic Affairs and Energy for wind turbine assessment Co-Head of the long-term "Geometric monitoring of the Bremer Kogge" project (since 2017) with the German Maritime Museum As director of the Laboratory for optical 3D metrology, Dr. Sieberth oversees research that spans forensic documentation, surgical applications, cultural heritage preservation, and industrial measurement systems. His laboratory serves as an interdisciplinary hub where geoinformatics principles are applied to solve real-world problems across diverse sectors, from crime scene reconstruction to wind turbine maintenance and historical ship preservation.
Alberto Tellaeche Iglesias is a Lecturer at the University of Deusto's College of Engineering, Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Systems Engineering and Automation (UNED, 2008) and an M.Sc. in Automation and Electronics Engineering (University of Deusto, 2001). With over 17 years in industrial R&D, he has worked at Tekniker Foundation (2007–2019) and led research projects under European FP7/H2020 and national programs. Ph.D., Systems Engineering and Automation, UNED (2008) M.Sc., Automation and Electronics Engineering, University of Deusto (2001) His research focuses on Machine Learning , Robotics , and Computer Vision , particularly for industrial automation and precision agriculture. He has published 15 recent papers on topics like 3D vision systems, federated learning for defect detection, and hybrid classifiers for agricultural monitoring. His work bridges Pattern Recognition and Industrial Automation , with applications in quality control, human-robot interaction, and smart cities. Grants and projects include EU-funded AI-Driven Cognitive Robotic Platforms (2021–2024), HAZITEK (2019–2022), and national initiatives like Edge Technologies for Industrial Distributed AI (2021–2024). He has supervised the thesis 'Progress in Industrial Photogrammetry' (2019) and serves on doctoral committees. He previously worked at Tekniker Foundation's Smart and Autonomous Systems unit and is part of interdisciplinary teams integrating 3D Vision and Deep Learning for industrial applications.
Mariya Kaisheva is a Lecturer in the Computer Science Department at the Faculty of Media, Bauhaus-Universität Weimar. She focuses on teaching courses such as Image Analysis and Object Recognition , Photogrammetric Computer Vision , and Parallel and Distributed Systems . Her research interests include photometric reconstruction, material properties, and reflectance estimation. She is involved in projects like Differentiable Inverse Rendering for Material Estimation , Real-time Material Estimation , and 3D-RealityCapture-ScanLab . Her work spans topics such as neural radiance fields, real-time stereo matching, and anomaly detection in building surveys. Consultation hours are available upon request, and she can be reached at mariya.kaisheva@uni-weimar.de .
Mert GÜRTÜRK is a Researcher at Adiyaman University's Faculty of Engineering, specializing in geospatial technologies and UAV applications. He holds a Doctorate in Geodesy and Photogrammetry Engineering from Yildiz Technical University (2016-2019), along with a Master's degree (2014-2016) and Bachelor's degree (2007-2012) in related fields from the same institution. His research focuses on cutting-edge geospatial technologies including UAV photogrammetry, precise positioning systems, LiDAR applications, and machine learning integration in geospatial data processing. His work spans various applications from transportation infrastructure assessment to public health monitoring through geospatial analysis. GÜRTÜRK's recent publications demonstrate a strong trend toward integrating advanced computational methods with traditional geospatial techniques, particularly in UAV-based mapping systems and precise positioning technologies. His work shows significant contributions to accuracy assessment methodologies in GNSS processing and UAV georeferencing. 2016-2019: Doctorate in Geodesy and Photogrammetry Engineering, Yildiz Technical University 2014-2016: Master's in Geodesy and Photogrammetry Engineering, Yildiz Technical University 2007-2012: Bachelor's in Surveying Engineering, Yildiz Technical University His current research projects include the DEVELOPMENT OF DOMESTIC SOFTWARE FOR SWARM UAV DEMONSTRATIONS (2024-present) and SWARM UAV SYSTEM AND SOFTWARE FOR DEMONSTRATION PURPOSES (2021-2023). GÜRTÜRK has also contributed to the analysis of university campus digitalization processes and precise kinematic point positioning research. His technical expertise spans English language proficiency and extensive experience with geospatial software systems.
Professor Mark Shortis is an Honorary Professor at RMIT University's STEM College and former Associate Professor in the School of Science. Specializing in photogrammetry, camera calibration, and optical metrology, he has contributed to aerospace model dynamics analysis with NASA, underwater marine ecology studies with the University of Western Australia, and solar energy research with the Australian National University. Retiring in 2020, he continues research in calibration algorithms for digital cameras. His career included roles as Associate Dean (Learning and Teaching) in RMIT's Faculty of Engineering and Dean (Academic Development) in the College of Science, Engineering, and Health. Research Interests: Close-range photogrammetry, underwater measurement systems, aerospace structural dynamics, solar concentrator characterization, and multi-camera calibration for industrial applications. His work bridges academic research with practical industrial and ecological challenges. Affiliations: RMIT University (Honorary Professor), former academic positions at University of Melbourne and RMIT across multiple faculties. Collaborations include NASA, CSIRO Marine Research, and Australian National University.
Bruno Nazarena is a fixed-term researcher in the Department of Engineering and Architecture at the University of Parma, Italy. He teaches courses such as Cartography and GIS and Laboratory of BIM across various degree programs including Civil Engineering, Construction and Infrastructure, and Environmental and Land Management Engineering. He also serves as a teacher tutor in the Civil Engineering program. Research Interests: His work focuses on advanced geomatic techniques for 3D surveying, particularly in complex environments such as cultural heritage sites and urban areas. He specializes in photogrammetry, multi-sensor integration, BIM, and digital twin development using open data and virtual reality. His research emphasizes cost-effective and scalable solutions for environmental and heritage monitoring. Publication Trends: Recent publications (2024–2025) demonstrate a strong trend toward integrating photogrammetric methods with immersive visualization and low-cost monitoring, especially in constrained or historically significant spaces. The work often involves collaboration with experts in surveying and civil engineering, highlighting interdisciplinary applications in both built and natural environments. Scientific Awards: No awards or honors mentioned in the source text. Advising and Grants: No formal students or advisees listed. No grants or funding sources explicitly mentioned. Labs, Teams, and Research Groups: While not explicitly named, Bruno Nazarena appears to be part of a research team focused on geomatics and surveying within the Department of Engineering and Architecture at the University of Parma, regularly collaborating with researchers such as Roncella R., Fassi F., and Zerbi A. on projects involving 3D documentation and digital modeling.
Maria Grazia Guerra is an Assistant Professor at the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy . Her work focuses on additive manufacturing, material extrusion processes, and optical monitoring systems for advanced manufacturing technologies. Research Interests: Maria's research spans multiple facets of additive manufacturing, including laser metal deposition, material extrusion, and sintering technologies. She investigates dimensional accuracy, defect detection, and sustainability assessment through exergetic analysis, while also exploring photogrammetry applications for micro-scale measurements and surface characterization. Publications: Maria has published extensively on topics such as layerwise monitoring in laser-powder bed fusion, surface grinding of thermoplastics, and chemical vapor treatment for polymer parts. Her work frequently addresses process optimization, geometric accuracy, and the development of novel methodologies for industrial measurement systems. Contact: Email: mariagrazia.guerra@poliba.it
Riadh Munjy serves as a Professor in Geomatics Engineering at California State University, Fresno's Lyles College of Engineering, where he teaches core courses including CE 205 (Computing in Engineering Analysis), GME 123 (Stereo-Photogrammetry), and GME 125 (Analytical Photogrammetry). His academic foundation includes a Ph.D. in Civil Engineering (1982), M.S. in Applied Mathematics (1981), and M.S.C.E. (1979) from the University of Washington, complemented by a B.S. in Civil Engineering from the University of Baghdad (1976). Ph.D., Civil Engineering, University of Washington (1979-1982) M.S., Applied Mathematics, University of Washington (1980-1981) M.S.C.E., Civil Engineering, University of Washington (1978-1979) B.S., Civil Engineering, University of Baghdad (1972-1976) Professor Munjy's research centers on advancing photogrammetric methodologies with particular emphasis on Unmanned Aircraft Systems (UAS) mapping accuracy, sensor calibration, and novel processing techniques for LIDAR and IFSAR data. His work bridges theoretical mathematics with practical applications in transportation infrastructure, disaster response, and terrain modeling, consistently addressing industry pain points like rolling shutter effects in UAV imagery and LIDAR strip adjustment challenges. He has pioneered standards for GPS-controlled photogrammetry adopted by Caltrans and contributed foundational chapters to the ASPRS Manual of Photogrammetry. Analysis of his 15 most recent publications (2010-2020) reveals a strategic evolution from traditional photogrammetric techniques toward UAS-centric workflows, with increasing focus on automated processing, accuracy validation, and integration of multi-sensor data. His research consistently targets real-world implementation barriers in transportation mapping and corridor projects, demonstrating strong industry relevance through Caltrans collaborations and ASPRS leadership. American Society of Photogrammetry and Remote Sensing Fellow Award (2020) ASPRS Fairchild Award (2014) Caltrans Research Innovation Award (2004) Five School of Engineering Research Excellence Awards (1992, 1996, 1998, 2002, 2003) ASPRS Meritorious Service Awards (1992, 1997) Halliburton Research Award (1992) Professor Munjy's research program has been consistently supported through Caltrans-funded projects including GPS Photogrammetry (2005), UAS Research (2018), and corridor mapping standards development. His advisory impact extends through co-authoring the ASPRS Manual of Photogrammetry and mentoring numerous conference presentations, though formal student lists aren't documented. Current initiatives focus on sUAS data accuracy validation and rolling shutter effect mitigation, positioning his work at the forefront of evolving UAV mapping regulations.
Dr. Bashar Saleem Abbas Alsadik is an Assistant Professor in the Department of Earth Observation Science at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands. He earned his PhD in 2014 from the same university with research on close-range photogrammetry for 3-D heritage modelling and holds a B.Sc. in Surveying Engineering (University of Baghdad, 1995). Before joining ITC he served as a faculty member at the University of Baghdad (1999-2014) and later as R&D Specialist Engineer at CycloMedia Technology (2015-2019). Education: PhD, University of Twente, 2014 – Guided Close-range Photogrammetry for 3D Modeling of Cultural Heritage Sites B.Sc., University of Baghdad, 1995 – Surveying Engineering Research interests centre on photogrammetry, geometric computer vision, UAV-based autonomous navigation and mapping exploiting SLAM and Next-Best-View methodologies, mobile mapping & LiDAR systems, adjustment computations, and heritage 3-D documentation. He actively develops educational material for ITC’s UAV centre and contributes to capacity-building projects. His publication record (h-index 11, 371 citations) demonstrates a clear trajectory from cultural-heritage photogrammetry toward real-time UAV autonomy, safety-critical infrastructure monitoring (e.g., Mosul dam), and multi-sensor geospatial datasets, reflecting interdisciplinary integration of computer vision, geodesy and robotics. Professional service: member of ISPRS, CIPA and the Iraqi Engineers Syndicate; reviewer for leading journals such as ISPRS J., Remote Sensing, IEEE T-GRS, Drones, Journal of Cultural Heritage, Photogrammetric Record, and several conferences.
