جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Thomas Brinkhoff is Chair of the Institute Board and Chair of Geoinformatics at Oldenburg University of Applied Sciences. He leads the Institute for Applied Photogrammetry and Geoinformatics (IAPG) and contributes to institutions like the Association for the Promotion of Geoinformatics in Northern Germany (GiN e.V.) and the Oldenburg Research and Development Institute for Computer Science (OFFIS e.V.). Education: Diploma in Computer Science (Informatik), Universität Bremen (1990) Doctorate in Computer Science (Dr. rer. nat.), Ludwig Maximilian University of Munich (1994) Brinkhoff's research spans geodatabase systems, spatiotemporal data processing, geosensor analytics, and location-based services. His work addresses Volunteered Geographic Information (VGI), web-based geospatial visualization, and mobile data integration, with applications in traffic management and forensic science. Recent projects include ProSaDi (Digital Provenance and Collection Research) and contributions to the Laboratory for optical 3D metrology . He has served on program committees for ACM SIGSPATIAL (2002-2019), AGILE conferences (2010-2025), and editorial boards of journals like GeoInformatica and TGIS. Notable Lectures: 2024: Forensic applications of tachograph data 2023: Geoinformatics in homicide investigations 2022: Spatiotemporal analysis for sustainability projects 2015: Open geodata standards at FOSSGIS 2014: Mobile sensor data processing

• Geoinformatics
• Geodatabase Systems
• Spatio-temporal Data Processing
• +۵ مورد دیگر

Cyrill Stachniss is a Full Professor at the University of Bonn , where he heads the Lab for Photogrammetry and Robotics and is affiliated with the Lamarr Institute for Machine Learning and Artificial Intelligence . He was previously a Visiting Professor in Engineering at the University of Oxford until 2025. His academic journey includes positions at the University of Freiburg, University of Zaragoza, and the Swiss Federal Institute of Technology. University: University of Bonn School: Faculty of Engineering Department: Department of Photogrammetry Academic Rank: Professor His research spans robotics, photogrammetry, SLAM, autonomous navigation, perception systems, agricultural robotics, and unmanned aerial vehicles . He emphasizes probabilistic techniques for mobile robots and has made significant contributions to visual and LiDAR-based localization, scene understanding, and 3D reconstruction. The recent publications highlight a strong trend toward neural implicit representations, agricultural phenotyping, radar-based perception, and active learning . His team develops robust systems for real-world deployment in dynamic and unstructured environments, particularly in precision farming and autonomous vehicles. Scientific Awards: IEEE RAS Early Career Award (2013) Microsoft Research Faculty Fellow (2010) 7th EURON Georges Giralt Award (2008) Multiple Best Paper Awards at ICRA, IROS, RSS, and RAL Faculty Teaching Award, University of Freiburg He has advised numerous students and leads the DFG Cluster of Excellence PhenoRob and Research Unit FOR 1505 Mapping on Demand . His lab has co-founded three startups, reflecting strong industry and societal impact. He also runs the educational video series 5 Minutes with Cyrill , explaining key robotics concepts.

• Robotics
• Photogrammetry
• Simultaneous Localization and Mapping (SLAM)
• +۱۲ مورد دیگر

Prof. Christian Heipke is a distinguished academic serving as Dean of the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover, Germany. He also holds the position of Executive Director at the Institute of Photogrammetry and GeoInformation (IPI), one of the leading research institutions in geospatial sciences within the faculty. His leadership extends across multiple committees including the Curriculum and Teaching Committee, Admissions and Examination Boards for Geodetic Science and Geoinformatics, and Navigation and Environmental Robotics. As a Professor at IPI, he maintains active research while overseeing significant academic and administrative responsibilities at the university. Professor Heipke's research spans multiple domains within geospatial sciences, with particular emphasis on: Advanced photogrammetric techniques and algorithms Remote sensing applications for environmental monitoring Computer vision approaches for geospatial data analysis Urban development monitoring using satellite imagery Machine learning applications in geoinformatics Disaster prediction and management systems His recent scholarly output reveals a strong focus on integrating cutting-edge computer vision and deep learning techniques with traditional photogrammetric methods. Analysis of his 15 most recent publications shows a clear trajectory toward more sophisticated AI-driven approaches for processing geospatial data, with particular attention to time-series analysis, uncertainty quantification, and multi-view systems. His work bridges theoretical advancements with practical applications in flood forecasting, deforestation monitoring, urban planning, and construction materials analysis. The geographic scope of his research has expanded significantly, with recent projects focusing on international case studies in the Philippines and tropical regions. Professor Heipke leads the Institute of Photogrammetry and GeoInformation, a major research hub that has celebrated 75 years of contributions to the field. His leadership extends to the Graduiertenkolleg 2159: "Integrity and Collaboration in Dynamic Sensor Networks," where he serves as a professor overseeing doctoral research. The institute maintains state-of-the-art facilities for processing satellite imagery, aerial photography, and developing novel algorithms for geospatial data analysis. Under his direction, the institute has strengthened its international collaborations and interdisciplinary research approaches, particularly in addressing Sustainable Development Goals through geospatial technologies.

• Photogrammetry
• Geoinformation
• Remote Sensing
• +۷ مورد دیگر

Prof. Dr. Mona Hess is a Full Professor and Chairholder of the Chair of Digital Heritage Technologies at Otto-Friedrich-Universität Bamberg , Germany. She directs the M.Sc. Digital Technologies in Heritage Conservation program and serves as Vice-Speaker at the Centre for Heritage Conservation Studies and Technologies (KDWT) . Her work bridges digital documentation, 3D imaging, and heritage conservation, with a focus on cultural landscapes, historic timber, and artifact preservation. Education : Dipl.-Ing. in Architecture (TUM), M.A. in Heritage Conservation (University of Bamberg), Ph.D. in 3D Imaging Metrology for Cultural Heritage (University College London, 2015) Her research spans 3D laser scanning, photogrammetry, SLAM-based recording , and digital twin environments , particularly for structural monitoring, museum artifacts, and historic gardens. She leads projects like VirScan3D (virtual laser scanner simulator) and 3DPetrie (UCL Petrie Museum 3D models) and collaborates on international initiatives such as the British Museum War Canoe digital repatriation. Recent publications emphasize automated defect analysis in timber, multi-modal imaging for ceiling art, and linked open data in heritage. She has contributed to CIPA ICOMOS as an expert member and will chair their Education and Dissemination Commission (2024). Scientific Awards : Fellow of the UK Higher Education Academy (2016), Associate Fellow of the Higher Education Academy (2014) She teaches courses in Digital Object Recording , 3D Spatial Data Modeling , and Science Communication , and organizes international summer schools on heritage monitoring. Her lab, the Chair of Digital Heritage Technologies , collaborates with institutions in Italy, Spain, and the UK, focusing on interdisciplinary innovation in heritage conservation.

• 3D Imaging Metrology
• Heritage Conservation
• Digital Documentation
• +۴ مورد دیگر

Jens Behley is a Lecturer (Privatdozent) and postdoctoral researcher at the Department of Photogrammetry, University of Bonn. He completed his habilitation in 2023 with a thesis on LiDAR-based spatio-temporal scene understanding for autonomous vehicles and earned his PhD in 2014 under Prof. Armin Cremers. His research focuses on LiDAR perception, agricultural robotics, and 3D scene understanding. Behley is an Associate Editor at IEEE Robotics and Automation Letters (RA-L) and has authored influential datasets like SemanticKITTI and BonnBeetClouds3D. Education: PhD in Computer Science, University of Bonn, 2014 Habilitation in Photogrammetry, University of Bonn, 2023 Research Interests: LiDAR-based perception in urban and agricultural environments, machine learning for robotics, semantic mapping, SLAM algorithms, and 3D reconstruction. His work bridges computer vision and robotics, with applications in autonomous vehicles and precision agriculture. Awards: Best Agri-Robotics Paper Award (IROS 2024) Outstanding Reviewer Awards (ECCV, CVPR, ICRA) Faculty Award for Geodesy (2021) Advisees & Grants: Behley collaborates extensively with the PRBonn lab and researchers like Cyrill Stachniss, focusing on projects funded by EU Horizon and industry partners. His team develops open-source tools for LiDAR processing (e.g., KISS-ICP, VDBFusion). Labs/Teams: Part of the Photogrammetry and Robotics Institute (IGG) at the University of Bonn, contributing to the PRBonn research group.

• LiDAR-based Perception
• Autonomous Vehicles
• Agricultural Robotics
• +۴ مورد دیگر

Dr. Benjamin Busam is a Senior Research Scientist at the Technical University of Munich , affiliated with the Chair for Computer Science Applications in Medicine under Prof. Nassir Navab. Starting September 2025, he will hold the Professorship for Photogrammetry and Remote Sensing at TUM. His career includes leadership roles at FRAMOS Imaging Systems and Huawei Research in London. Education: Mathematics (TUM), Mathematics and Physics (ParisTech, University of Melbourne), PhD in Mathematics (TUM, 2014) His research focuses on 3D computer vision , multi-modal sensor fusion , and their applications in collaborative robotics and augmented reality . He specializes in projective geometry , 6D pose estimation , and neural radiance fields , with a particular emphasis on photometrically challenging environments. Recent publications highlight advancements in 3D scene understanding , neural rendering , and medical imaging , often leveraging machine learning and vision-language models . His work has been recognized through awards like the EMVA Young Professional Award (2015) and Innovation Pioneer of the Year (2019) , along with multiple Outstanding Reviewer distinctions at leading conferences. Dr. Busam has supervised numerous PhD and MSc students on topics including 6D pose estimation , medical augmented reality , and robotic ultrasound , collaborating with institutions like MIT , École Polytechnique , and University of Padova .

• 3D Computer Vision
• Multi-Modal Sensor Fusion
• Collaborative Robotics
• +۶ مورد دیگر

Dr. Oliver Hampe serves as Scientific Director of the Vertebrate Paleontology and Geology Collections at the Museum für Naturkunde (Museum of Natural History), Leibniz Institute for Evolution and Biodiversity Research in Berlin, Germany. He also holds the position of Head of the Paleontological Preparation Laboratory. His expertise spans extinct aquatic vertebrates, paleopathology, and geoarchaeology, with significant contributions to cetacean evolution research. Hampe completed his studies in Chemistry and Geology-Paleontology from 1981-1987 at universities in Düsseldorf and Mainz, earning his Diploma in 1987. He received his PhD from Johannes Gutenberg University Mainz in 1991 and completed his habilitation for Palaeobiology and Zoology at Humboldt University Berlin in 2003, qualifying him as a Privatdozent. His research focuses on cetacean evolution, particularly Miocene whale fossils from German sites like Groß Pampau, with significant work on periotic bone anatomy. Hampe integrates traditional morphological analysis with advanced imaging techniques including CT scanning to study fossil specimens non-destructively. His paleopathological research examines diseases in fossils, such as osteomyelitis in Tyrannosaurus rex and bone tumors in whale specimens. He also maintains scholarly interest in the history of paleontology, particularly Werner Janensch's work and German expeditions to Tendaguru, Tanzania. Analysis of Hampe's recent publications reveals consistent focus on cetacean evolution, especially baleen whales from the Miocene epoch. His methodological approach frequently combines detailed morphological analysis with geological context to understand evolutionary patterns. He has made significant taxonomic contributions through studies of whale ear bone anatomy and has extended his research to pathological conditions in diverse fossil vertebrates. His interdisciplinary work bridges paleontology with medical imaging techniques and historical studies. As Head of the Paleontological Preparation Laboratory, Hampe oversees the curation and preparation of vertebrate fossil collections. His current research projects include cetacean studies from Groß Pampau, pathology research on dinosaurs and mammals, and investigations into aquatic adaptation in Cetartiodactyla supervised with PhD student Apolline Alfsen. His collaborative approach is evident in numerous publications with international researchers across Europe.

• Paleontology
• Vertebrate Paleontology
• Cetacean Evolution
• +۳ مورد دیگر

Jan-Henrik Haunert is a Professor at the University of Bonn, affiliated with the Institute of Cartography and Geoinformatics within the Faculty of Civil Engineering and Geodetic Science. His research focuses on map generalization, geographic information systems (GIS), and optimization techniques in cartography. He has contributed to projects funded by the German Research Foundation (DFG), particularly in deriving scale-dependent representations of geographic data. His work emphasizes logical consistency, semantic accuracy, and quality assessment in geospatial data processing. Key research areas include land cover map generalization, spatial data integration (e.g., volunteered geographic information), and rule-based incremental generalization. He has developed methodologies leveraging mixed-integer programming and straight skeleton algorithms for cartographic automation. His publications span peer-reviewed journals like GeoInformatica and Photogrammetrie - Fernerkundung - Geoinformation , as well as conference proceedings such as AGILE and ACM-GIS. Haunert’s contributions address challenges in geospatial data quality, including polygon simplification and river dataset matching. He has also explored applications in vehicle localization and virtual reality systems like the GeoScope for urban planning. His work bridges theoretical GIScience with practical applications in cartography and geoinformatics.

• Geographic Information Systems (GIS)
• Map Generalization
• Spatial Data Mining
• +۳ مورد دیگر

Heidi Hastedt is a Researcher at the Institute of Photogrammetry and GeoInformation (IAPG) , part of Jade University of Applied Sciences . Her work spans photogrammetry , optical 3D metrology , and remote sensing , with a focus on camera calibration , Structure from Motion (SfM) , and software development in C++/C# and ESRI ArcObjects . Education : Diploma in Surveying (Dipl.-Ing. (FH)) from University of Applied Sciences Oldenburg/Ostfriesland/Wilhelmshaven (2001). Master of Engineering (M.Eng.) in Geoinformation Systems from Anhalt University of Applied Sciences (2015). Research Interests : Heidi's expertise lies in optical 3D measurement systems for applications like cultural heritage preservation and dynamic process monitoring . She specializes in camera modeling , system development , and quality control in SFM workflows. Her 15 most recent articles (2005–2022) highlight advancements in 3D reconstruction , cultural heritage digitization , and high-dynamic process capture using photogrammetric methods. Projects & Grants : Heidi has led research on geometric monitoring of the Bremen Cog (2017–present, funded by the German Maritime Museum) and accuracy evaluation of SFM methods (2003–2005, AGIP). Earlier work (2000–2002) focused on optical 3D system verification, and she contributed to Lower Saxony Advance initiatives (2005–2010) for dynamic 3D metrology. Laboratory Involvement : Heidi co-manages the Laboratory for Optical 3D Metrology , where she develops and tests photogrammetric tools for large-volume measurements and real-time monitoring of historical and dynamic objects.

• Photogrammetry
• Optical 3D Metrology
• Remote Sensing
• +۹ مورد دیگر

Tobias Neiß-Theuerkauff, M.Sc., is a researcher at the Institute for Applied Photogrammetry and Geoinformatics (IAPG) within Jade University of Applied Sciences, Oldenburg. His work centers on optical 3D metrology applications in surgical assistance and maritime systems, currently contributing to the ASKAR3D project (2023-2026) funded by the Federal Ministry of Education and Research for developing augmented reality-guided knee arthroplasty systems. His research integrates computer vision, photogrammetry, and AI to solve practical challenges in medical imaging and maritime engineering. Recent publications demonstrate a focused shift toward surgical applications, developing AI-driven 3D bone reconstruction and semantic segmentation techniques for knee arthroplasty, while maintaining expertise in maritime 3D visualization established through earlier work on vehicle simulation and autonomous systems. Supported by significant grants including ASKAR3D and CoSAIR (Collaborative Spatial Artificial Intelligence in Realtime), his project portfolio reflects strong federal funding recognition. He has co-supervised Master's research in Geodesy and Geoinformatics, specifically guiding thesis work on point cloud triangulation for Unreal Engine visualization in 2019. As a core member of IAPG's Laboratory for optical 3D metrology, Neiß-Theuerkauff collaborates with leading researchers including Prof. Dr. Frank Wallhoff and Prof. Dr. Thomas Luhmann, bridging theoretical computer vision with clinical and maritime implementations through interdisciplinary teamwork.

• Optical 3D Metrology
• Augmented Reality in Surgery
• Medical Image Analysis
• +۳ مورد دیگر

Dr. Darius Popovas is a researcher at the Institute for Applied Photogrammetry and Geoinformatics (IAPG), Jade University of Applied Sciences, Oldenburg, Germany. He is a member of the Laboratory for Optical 3D Metrology, contributing to advancements in photogrammetry and 3D scanning technologies since 2020. His research focuses on photogrammetry , 3D metrology , and virtual simulation , with specific interests in developing laser scanner simulators for digital twin environments, educational applications, and robotic missions. His work integrates computer vision, geomatics, and educational technology to create innovative simulation tools that bridge theoretical research with practical industrial and academic implementations. Between 2020 and 2024, Popovas co-authored six publications demonstrating a progression from foundational simulator development to applications in dynamic scanning and geodetic network planning for robots. This trajectory highlights increasing complexity in virtual scanning technologies, with recent work emphasizing real-time processing, sensor simulation, and integration into digital twin frameworks for industrial and educational contexts. He is a key contributor to the DAAD-funded project "Virtual laser scanner simulator for digitizing the teaching environment" (2019-2024), which develops software for generating simulated 3D point cloud data to enhance teaching methodologies in photogrammetry and geoinformatics through virtual laboratories and digital training resources. Within the IAPG, Popovas collaborates in the Laboratory for Optical 3D Metrology under Prof. Dr. Thomas Luhmann, working alongside a multidisciplinary team including Dr. Maria Chizhova and Dr. Denys Gorkovchuk. The laboratory actively organizes the Oldenburg 3D Days conference series, serving as a platform for disseminating research in optical metrology and fostering industry-academia partnerships.

• Photogrammetry
• 3D Metrology
• Laser Scanning
• +۳ مورد دیگر

Markus Richter serves as Professor of Horticultural Plant Production and Production Technology at the Berlin University of Applied Sciences (BHT), within Department V - Life Sciences and Technology. His academic career combines extensive industry experience with scholarly research, focusing on the practical application of botanical knowledge to solve horticultural challenges. Since joining BHT in 2008, he has established himself as a specialist in ornamental plant cultivation technology and precision irrigation systems. Prof. Richter earned his foundational education as a Horticultural Engineer from the Technical University of Applied Sciences Berlin (1987-1990), followed by an MSc in Technology of Crop Protection from the University of Reading (1990-1991). He completed his doctorate (Dr. rer. hort) at Humboldt University of Berlin between 1996 and 2001. Prior to his academic appointment, he gained valuable industry experience as a test engineer at the Chamber of Agriculture Westphalia-Lippe (1991-2003), and later as Head of the Horticultural Research Center in Münster-Wolbeck (2003-2006) and Head of ornamental plant trials at GBZ Straelen/Cologne-Auweiler (2006-2007). His research interests center on ornamental plant cultivation , technology in horticulture , and irrigation systems , with a particular emphasis on developing sensor-based solutions for resource-efficient plant production. Prof. Richter has pioneered work in photogrammetric monitoring systems for irrigation management, with applications spanning both greenhouse and field production environments. His expertise bridges plant physiology, engineering, and practical horticulture, addressing critical challenges in water conservation and plant health monitoring. Analysis of his recent publications reveals a dominant focus on the PLANTSENS research initiative, which has evolved through multiple phases (2017-2023). This work demonstrates a consistent trajectory toward increasingly sophisticated multi-sensor systems for detecting plant water stress and automating irrigation. His research spans agricultural engineering, plant physiology, and computer vision, with applications in both ornamental and vegetable production systems. A secondary research thread examines nutrient management issues in specialty crops like Helleborus and Hydrangea. At BHT, Prof. Richter actively supervises student theses on topics including sensor systems for irrigation management, growth control of ornamental plants, and sustainable production methods. His research has been supported through multiple projects, including the PLANTSENS project (2017-2020), PlantSens II (2020-2023), and ongoing doctoral research on Helleborus cultivation. He serves on the Training Commission and Audit Committee, and acts as an academic advisor and officer for recognition of academic achievements.

• Ornamental plant cultivation
• Technology in horticulture
• Irrigation systems
• +۴ مورد دیگر

Dr. Rebecca E. Döhl is a researcher at the Institute of Archaeology, Humboldt University of Berlin, specializing in the Department of Archaeology and Cultural History of Northeast Africa (AKNOA). Her work bridges traditional Egyptology with cutting-edge digital methodologies, focusing on prehistoric and Predynastic Egypt, rock art, and complex system theory. Doctorate from Free University of Berlin (2009-2017) on rock paintings in Egypt Part-time degree in Academic Geoinformatics from University of Salzburg (2009-2011) MA in Egyptology from Free University of Berlin (2008) Her research combines landscape archaeology with digital tools like GIS, 3D modeling, and agent-based modeling to analyze ancient Egyptian communication systems. Notable projects include: 2023: Leading field campaigns in Gebel el-Nezzi, Eastern Desert 2018-present: Project coordinator for CaeMmCom (Corpus of Ancient Egyptian Multimodal Communication) 2010-2016: Rock paintings survey in Wadi Berber She has received prestigious funding from Gerda Henkel, TOPOI, and DAAD, and her publications explore spatial approaches to rock art and multimodal communication in Ancient Egypt. Her work also contributes to theoretical discussions on social development and complex systems in archaeology.

• Prehistory and Predynastic Egypt
• Mobile Groups
• State Formation
• +۹ مورد دیگر

Prof. Dr.-Ing. Sergio Montenegro is a Professor of Aerospace Information Technology at Julius-Maximilians-University Würzburg, where he leads the Chair of Computer Science VIII. His academic journey includes a Bachelor's in Computer Science from Universidad del Valle de Guatemala (1978-1982), a Diploma from Technische Universität Berlin (1983-1985), and a Dr.-Ing. from TU Berlin (1989). Prior to joining academia, he held positions as a software developer (1979-1982), research coordinator at Fraunhofer Gesellschaft (1985-2007), and Head of Department at DLR (2007-2010). His research focuses on dependable distributed systems for aerospace applications, including satellite networks, real-time operating systems (RODOS), UAV swarm control, fault-tolerant architectures, and space mission software. Key projects span satellite formation flight (TET, AsteroidFinder), solar sail missions, distributed avionics (VIDANA), and medical IoT systems. Recent publications (2018) demonstrate strong emphasis on distributed spacecraft systems, UAV navigation, fault tolerance, and software engineering for space applications. Trends include miniaturized satellite technologies, decentralized control algorithms, real-time OS verification, and Java-based space systems. He leads research in distributed computing networks and UAV laboratories, supervising projects like VaMEx-LaOLA (Mars exploration) and ultra-wideband positioning systems. Though no awards are documented, he has coordinated over 100 projects including ESA and DLR missions.

• Aerospace Information Technology
• Dependable Computing
• Distributed Systems
• +۶ مورد دیگر

Prof. Laura Leal-Taixé is an Associate Professor at the Technical University of Munich (TUM) leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Chair, promoted from a 2017 Tenure Track Assistant Professorship. Her work focuses on advancing computer vision and machine learning, particularly in video analysis, multi-object tracking, and autonomous systems. She received a Sofja Kovalevskaja Award (2017) for her project socialMaps, which integrates dynamic social data into traffic modeling. Education: B.Sc./M.Sc. in Telecommunications Engineering, Technical University of Catalonia (UPC), Barcelona Ph.D. in Information Processing, Leibniz University Hannover (2014) Postdoc at ETH Zurich (2014–2016), and Senior Researcher at TUM’s Computer Vision Group (2016–2019) Research Interests: Multi-object tracking and segmentation in videos Motion analysis and semantic segmentation for autonomous driving Deep learning for video understanding Social dynamics modeling in urban environments Awards & Grants: €1.65M Sofja Kovalevskaja Award (Humboldt Foundation, 2017) DAAD Australia-German Joint Research Scheme (2017) Multiple travel grants from CVPR and Women in Computer Vision Labs & Collaborations: Dynamic Vision and Learning Group at TUM Collaborations with ETH Zurich, Northeastern University, and NVIDIA

• Computer Vision
• Machine Learning
• Video Analysis
• +۵ مورد دیگر