جستجوی استاد راهنمای دانشگاهی

• Geomatics
• 3D Modeling
• Digital Photogrammetry
• +۸ مورد دیگر

Filiberto Chiabrando is an Associate Professor at the Department of Architecture and Design (DAD) of Politecnico di Torino, with a secondary appointment as Adjunct Associate Professor at Michigan Technological University (USA). He serves as Deputy Coordinator of the Doctoral College for Architectural and Landscape Heritage and is Secretary of the ISPRS Working Group on UAS & Small Multi-sensor Platforms. His work bridges geomatics, photogrammetry, and cultural heritage preservation. Academic Affiliations Politecnico di Torino (Main Institution) Michigan Technological University (Adjunct Appointment) Research Leadership Coordinator of PIC4SeR Interdepartmental Center Principal Investigator for HERITALISE, Common Grounds, POSEIDON, ARCHIM3DES, and ResCult projects Chiabrando's research focuses on 3D modeling , UAV photogrammetry , underwater cultural heritage documentation , and HBIM-GIS integration . He specializes in SLAM systems , laser scanning , and rapid mapping for architectural conservation. His work aligns with SDGs 9 (Innovation), 11 (Sustainability), and 17 (Partnerships). His recent projects emphasize multitemporal marine vegetation mapping (POSEIDON), cloud-based heritage digitization (HERITALISE), and advanced 3D metric surveying in marine environments (ARCHIM3DES). He has developed open-source education platforms like POSER for underwater photogrammetry training. Scientific Awards Licinio Ferretti Award (ASITA, 2009 & 2010) Best Paper Awards: Sensors (2013), CIPA (2013) Editorial Roles Editorial Board: Geomatics Journal (2021-), ISPRS International Journal (2019-) As a PhD advisor, he has mentored 7 doctoral students in architectural heritage, including Alessio Calantropio (2019-2023) on underwater heritage and Alessandra Spreafico (2019-2023) on the Turin 1911 Exposition. He leads commercial contracts with organizations like DJI GmbH, World Food Programme, and UNICEF for UAV and geospatial applications.

Markus Richterمشاهده پروفایل

استاد

• Ornamental plant cultivation
• Technology in horticulture
• Irrigation systems
• +۴ 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.

• Geographic Information Systems (GIS)
• Geomatics
• HBIM (Historical Building Information Modeling)
• +۵ مورد دیگر

Fulvio Rinaudo is a Full Professor in the Department of Architecture and Design (DAD) at Politecnico di Torino, Italy, specializing in geomatics and cultural heritage documentation. With decades of experience in the field, he leads research in Geographic Information Systems (GIS), Historical Building Information Modeling (HBIM), photogrammetry, and the documentation of cultural heritage through advanced metric surveying techniques. His research interests span across multiple domains of cultural heritage preservation, including: Georeferenced databases (GIS) for cultural heritage management HBIM applications for architectural documentation and conservation Automatic digital photogrammetry for objects and contexts of varying scales Metric survey techniques for documenting historical buildings and urban contexts Digital documentation methodologies for cultural heritage preservation Rinaudo's recent scholarly output demonstrates a clear focus on advancing technological approaches to cultural heritage documentation, particularly through HBIM systems, environmental risk assessment for heritage sites, and innovative surveying methodologies. His work increasingly integrates emerging technologies like SLAM systems, 360° imaging, and cloud-based platforms to create more efficient and accurate documentation workflows. A significant portion of his recent research addresses the challenges of documenting and preserving heritage in Central Asia, particularly through the ERAMCA project focused on environmental risk assessment. Among his notable recognitions is the Best Poster Award at the CIPA Symposium awarded by ICOMOS CIPA-HD in France (2013). His leadership in the field is further evidenced by his current role as President of CIPA Heritage Documentation (2024-2027) and previous position as Secretary of ICOMOS Italy (2020-2022). Professor Rinaudo actively supervises PhD students across multiple institutions including Politecnico di Torino and Sapienza University of Rome. He has secured significant research funding through competitive grants including the ERAMCA project (Environmental Risk Assessment and Mitigation on Cultural Heritage assets in Central Asia), the RURITAGE project, and the GAMHER project (Geomatics data Acquisition and Management for landscape and built Heritage in an European Perspective). He serves on editorial boards for journals including VIRTUAL ARCHAEOLOGY REVIEW and APPLIED GEOMATICS, and participates in major international conferences as a scientific committee member for CIPA and ISPRS events. His external teaching engagements include positions at Katholieke Universiteit Leuven (Belgium) and Turin Polytechnic University in Tashkent.

• Computer Vision
• Robotics
• 3D Reconstruction
• +۵ مورد دیگر

Thomas Läbe is a Researcher in the Department of Photogrammetry at the University of Bonn's Institute of Geodesy and Geoinformation. His roles include technical associate and software developer, with a focus on advancing robotics, computer vision, and agricultural automation. He holds a diploma in computer science (Dipl.-Inform. (FH)) from Cologne University of Applied Sciences (1994). His research spans image processing, bundle adjustment, visual odometry, and camera calibration, with notable contributions to SLAM (Simultaneous Localization and Mapping) for autonomous systems. Education: 1994: Dipl.-Inform. (FH) in Computer Science, Cologne University of Applied Sciences Research Interests: Focuses on integrating vision-based technologies into robotics for precision agriculture, 3D reconstruction, and robust localization in dynamic environments. His work addresses challenges in sensor calibration, panoptic segmentation, and semantic mapping for autonomous systems operating in agricultural and urban settings. Publications Trends: Recent work emphasizes agricultural robotics, including fruit completion, plant phenotyping, and robust localization under changing conditions. Key themes include LiDAR-based localization, semantic occupancy prediction, and end-to-end learning for 3D representations. Awards: 2001 Hansa Luftbild Price (Best PFG paper award, shared) Technical Contributions: Developed software frameworks for bundle adjustment, multi-camera systems, and obstacle detection. Collaborated on projects like the Phenoliner field phenotyping platform and UAV-based environmental monitoring systems. Labs/Teams: Active in the Photogrammetry professorship group, contributing to the PRBonn (Perception, Robotics & Bonn) robotics initiatives, with open-source tools like OverlapNet and PAg-NeRF for 3D perception.

Ewelina Rupnikمشاهده پروفایل

پژوهشگر

• Photogrammetry
• Pose Estimation
• Image-based 3D Reconstruction
• +۷ مورد دیگر

Ewelina Rupnik is a prominent researcher in photogrammetry and remote sensing, currently holding a researcher position at the Laboratory on Geographic Information Science (LaSTIG) at the French National Institute of Geographic and Forest Information (IGN) since 2017. She also serves as an associate researcher at the Paris Institute of Earth Physics (IPGP). Rupnik has established herself as a leading expert in historical imagery processing, neural radiance fields, and bundle adjustment techniques. Her educational background includes a PhD in photogrammetry from the Vienna University of Technology (2015), an MSc in Engineering in Photogrammetry from AGH University of Science and Technology, Poland (2005-2010), and an Erasmus exchange at the Technische Universitaet Muenchen, Germany (2009/2010). She recently completed her Habilitation from Université Gustave Eiffel in June 2025. Rupnik's research focuses on advancing photogrammetric techniques for processing historical imagery, developing novel neural radiance field approaches for satellite imagery, and improving bundle adjustment methodologies. Her work bridges traditional photogrammetry with modern deep learning techniques, particularly in the context of sparse satellite views and historical multi-epoch imagery. She has made significant contributions to the open-source MicMac photogrammetry software project. Her recent publications demonstrate a strong trend toward integrating deep learning with traditional photogrammetric methods, with a particular emphasis on satellite and historical imagery analysis. The research spans from fundamental algorithm development (like SparseSat-NeRF and Pointless Global Bundle Adjustment) to practical applications in earth sciences (landslide, earthquake, and glacier volume mapping). 2022 EuroSDR PhD Award for Corona satellite imagery processing Best Paper Award for BRDF-NeRF research Outstanding Reviewer at CVPR 2025 Rupnik actively contributes to the academic community through editorial and leadership roles, including serving as Editor-in-Chief of the French Journal for Photogrammetry and Remote Sensing (2021-2025), Advisory Board Member of the International Journal of Photogrammetry and Remote Sensing (2024-present), and Co-chair of the ISPRS Working Group on Image Orientation and Sensor Fusion (2022-2026). She regularly teaches at Université Paris Cité & ENSG (~30 hours/year since 2015) and has conducted numerous workshops worldwide on photogrammetry with historical images and MicMac software.

Tzeng Yih Lamمشاهده پروفایل

استادیار

• Forest Measurements
• Forest Sampling
• Quantitative Silviculture
• +۳ مورد دیگر

Dr. Tzeng Yih Lam serves as an Assistant Professor in the Department of Forest Resources Management at the University of British Columbia's Faculty of Forestry. His expertise lies in forest measurements, sampling methodologies, and quantitative silviculture, contributing to sustainable forest management practices through innovative biometric approaches. His educational background includes: PhD in Forest Science (2010) from Oregon State University MSc in Statistics (2009) from Oregon State University MSc in Tropical and International Forestry (2006) from Georg-August-Universität Göttingen BSc in Forestry (2001) from the University of New Brunswick Dr. Lam's research focuses on developing close-range photogrammetry tools for hard-to-measure tree attributes, designing cost-effective probability-based forest inventory systems using auxiliary information, and applying Bayesian filtering for forest growth projection. His work bridges field data collection with advanced statistical modeling to enhance timber production estimation and ecosystem service assessment. Analysis of his 15 most recent publications reveals dominant themes in innovative sampling design (particularly Critical Height Sampling and cluster/nested plots), integration of machine learning with rapid assessment techniques, and sophisticated height-diameter modeling across diverse species. His work consistently emphasizes spatial distribution mapping, LiDAR integration, and error reduction in field measurements. As an active contributor to the UBC Forest Measurements and Biometrics research group, Dr. Lam develops teaching materials for courses including Advanced Regression Analysis and Forest Measurements, advancing methodological training in forest biometrics through R workshops and practical field applications.

Nancy Glennمشاهده پروفایل

استاد

• Remote Sensing
• Dryland Ecology
• Geological Engineering
• +۲ مورد دیگر

Nancy Glenn is Professor in the Department of Geosciences at Boise State University and directs the Boise Center Aerospace Laboratory (BCAL). Her research specializes in remote sensing applications for environmental monitoring, particularly in dryland ecosystems and geological engineering contexts. Her research advances remote sensing methodologies including lidar, hyperspectral imaging, and UAV-based platforms for characterizing vegetation dynamics, snow properties, and land surface changes. Current projects focus on: quantifying rangeland fractional cover in sagebrush ecosystems, improving snow property retrievals through topographic modeling, and developing machine learning approaches for spoil pile characterization in mining environments. Professor Glenn maintains active research programs across diverse environments including peatlands, dryland shrub-steppe ecosystems, mountainous terrain, and post-mining landscapes. Her work integrates field measurements with advanced remote sensing techniques to address environmental challenges.

• Robotics
• Unmanned Aerial Vehicles
• Computer Vision
• +۳ مورد دیگر

Ben Bartlett is a Researcher at the University of Limerick's School of Engineering, specializing in robotics and unmanned systems for environmental and infrastructure applications. His work bridges engineering innovation with practical solutions for challenging real-world environments. His research focuses on: Development of UAV systems for wildlife monitoring and offshore wind farm surveys Cooperative multi-robot path planning for bridge and infrastructure inspection Fault-tolerant control systems for inaccessible environments Maritime robotics using integrated aerial and surface vehicles Automated 3D reconstruction of unknown structures using LiDAR Analysis of his 2023-2025 publications reveals a consistent trend toward real-time, automated systems that balance wide-area coverage with high-resolution precision. His work demonstrates particular strength in adapting robotic systems to dynamic environments like offshore wind farms, aging infrastructure, and maritime settings, with emphasis on efficiency, safety, and cost-effectiveness through modular design and fault tolerance. Contact: Ben.Bartlett@ul.ie

• Photogrammetry
• Remote Sensing
• Geomatics
• +۱۲ مورد دیگر

RONCELLA Riccardo is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy, where he has been employed full-time since 2008 and promoted to Associate Professor in 2014. He qualified as a Full Professor through Italy’s National Scientific Qualification in 2017. His academic work spans photogrammetry, remote sensing, geomatics, and civil engineering, with strong applications in environmental monitoring, cultural heritage, and geohazard assessment. Ph.D. in Civil Engineering, University of Parma, 2006 M.Sc. in Civil Engineering, University of Parma, 2002 (110/110 magna cum laude) Prof. Roncella’s research focuses on photogrammetry, UAV-based remote sensing, digital image correlation, and 3D modeling, with applications in rock slope stability, cultural heritage documentation, environmental monitoring, and precision agriculture. His work integrates advanced image matching algorithms and software development for geospatial analysis. He has led the development of several software tools including EyeDEA, RockScan, DICe, DenseMatcher, and SlopeMonitor. His publication record includes over 70 journal papers in top-tier journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Rock Mechanics and Rock Engineering, and Remote Sensing. His recent work emphasizes automated monitoring, HBIM, low-cost sensing, and digital twin creation, showing a consistent trend toward practical, scalable solutions in geomatics and civil engineering. Scientific Awards: Best Ph.D. Italian Thesis - Autec Price (2006) Prof. Roncella has secured significant research funding as Principal Investigator (PI) and Co-Investigator (CI), including an ARC Discovery Project (AUD 385K), ACARP funding (AUD 210K), and EU POR FESR grants exceeding €1 million. He has mentored over 30 MEng students and supervised multiple PhD candidates. He also serves on scientific committees and editorial boards, including Remote Sensing (MDPI), and acts as a reviewer for leading journals and grant agencies. He leads collaborative research with institutions such as Politecnico di Milano, University of Florida, UCL, TU Delft, University of Newcastle, and INAF. His laboratory engages in interdisciplinary projects involving UAVs, stereo photogrammetry, and change detection for civil and environmental applications.

MIKOLAJEWSKA SANDRAمشاهده پروفایل

استادیار

• Architectural Heritage
• Digital Modeling
• 3D Surveying
• +۷ مورد دیگر

Sandra Mikolajewska is a faculty member at the University of Parma, Department of Engineering and Architecture, where she holds the position of fixed-term researcher, equivalent to Assistant Professor. She is actively involved in teaching and research, focusing on architectural representation, digital modeling, and heritage conservation. Her courses include Digital Modeling of Architecture, Digital Visualization of Project, Urban Survey, and Representation Tools for Product Communication within the Architecture and City Sustainability and Sustainable Design for Food Systems programs. Her research interests lie at the intersection of digital technologies and architectural heritage preservation. She specializes in integrated 3D surveying, Building Information Modeling (BIM) for heritage, photogrammetric techniques, and architectural rehabilitation. Her work emphasizes accurate documentation and digital dissemination of historic sites, particularly religious and complex urban structures. The analysis of her recent publications reveals a strong focus on applying advanced digital methods—such as laser scanning, photogrammetry, and BIM—to the conservation and communication of built heritage. Case studies like Santa Maria della Steccata and San Rocco in Parma illustrate her applied research approach, combining technical precision with cultural significance. Sandra Mikolajewska has not been mentioned as receiving any scientific awards in the provided text. She serves as a teacher tutor for the second-cycle degree in Architecture and City Sustainability, indicating her involvement in student guidance. While no formal list of advisees is provided, her teaching roles suggest active mentorship. There is no mention of research grants or external funding in the available information. She is affiliated with the Department of Engineering and Architecture at the University of Parma, operating from the Science and Technology Campus. Her work appears to be integrated within research groups focused on architectural surveying and digital representation, though specific lab or team names are not detailed in the text.

Aada Hakulaمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Laser Scanning Technology
• Environmental Data Analysis
• +۳ مورد دیگر

Aada Hakula is a Doctoral Researcher in the Department of Mathematics and Systems Analysis at Aalto University's School of Science. Their research focuses on applying high-density close-range multispectral laser scanning technologies for individual tree segmentation and species classification, blending expertise in remote sensing with environmental data analysis. Aalto University alumni, Hakula holds a Master's degree (2024) and Bachelor's degree (2022) in Engineering and Technology from Aalto University. Research Interests: Multispectral data processing, Photogrammetry, Environmental monitoring Key contributions include a peer-reviewed publication in the ISPRS Open Journal of Photogrammetry and Remote Sensing, demonstrating interdisciplinary work at the intersection of mathematics and environmental science. Active in collaborative research projects involving forestry and geospatial technologies.

Tom Kwasnitschkaمشاهده پروفایل

پژوهشگر

• Physical Volcanology
• Submarine Volcanoes
• Marine Tephrostratigraphy
• +۶ مورد دیگر

Tom Kwasnitschka is a permanent scientist in the DeepSea Monitoring group at GEOMAR Helmholtz Centre for Ocean Research Kiel since 2025, with prior roles at GEOMAR's Technology and Logistics Center (2016-2024) and the ROBEX Helmholtz Alliance (2013-2016). He leads projects like LIGHTHOUSE , MOMO , and MUSE , focusing on deep-sea robotics , 3D photogrammetry , and immersive data visualization . He also serves as a lecturer at Kiel University of Applied Sciences since 2010. Education: PhD in Marine Geology (2012, GEOMAR) on submarine volcanism in Cape Verde; Diploma in Geology/Paleontology (2009, Christian-Albrechts University Kiel). His research spans physical volcanology of submarine systems, tephrostratigraphy , and deep-sea technology . His work integrates 3D modeling , optical and acoustic mapping , and virtual environments for marine exploration. Key projects include digital seafloor reconstruction and deep-sea camera systems . Recent publications focus on hydrothermal vent mapping , volcanic hazard analysis , and immersive fieldwork simulations , reflecting trends in multi-disciplinary marine research and underwater robotics . Awards: AGU Outstanding Student Paper Award (2011) Grants include MUSE (0.15M€) , SPP2100 ASDDSA (0.29M€) , and Helmholtz Validation Fund LIGHTHOUSE (2.37M€) . He has led 13 oceanographic cruises using vessels like RV Alkor and RV Poseidon . As co-founder of allsky.de (2003-2023), he advanced immersive media for science communication . His patents include deep-sea camera stabilization and submersible LED systems .

Salvatore Barbaمشاهده پروفایل

استاد

• Architectural Drawing
• Conservation and Restoration
• Remote Sensing
• +۸ مورد دیگر

Salvatore Barba is a Full Professor in the Department of Civil Engineering at the University of Salerno, Italy, where he conducts research and teaching in architectural surveying, cultural heritage documentation, and digital reconstruction. He also serves as a Contract Professor at the Faculty of Architecture, University of Basilicata, Matera. His work bridges engineering, architecture, and heritage science, focusing on advanced digital methodologies. Research interests: His expertise lies in photogrammetry , remote sensing , 3D laser scanning , GIS-BIM integration , and augmented reality for cultural heritage. He investigates degradation diagnostics, low-cost survey tools, and micro-photogrammetry, emphasizing interdisciplinary and methodologically rigorous approaches to digital documentation. Publications and technology: His recent articles highlight the application of UAVs, wearable SLAM scanners, and handheld microscopes in heritage contexts. He validates instruments like the Shining 3D EinScan-Pro and develops protocols for high-accuracy documentation. His work consistently underscores the importance of expert interpretation over purely automated processes in surveying. Scientific Awards: No specific awards mentioned in the provided text. Advising and grants: While specific students and grants are not listed, he collaborates on international projects, participates in technology transfer agreements (e.g., with Dino-Lite), and contributes to methodological advancements in heritage science. His role as a faculty member implies advising graduate students in civil engineering and architectural documentation. Labs and teams: He is involved in research activities related to digital heritage documentation, likely within laboratory facilities at the University of Salerno. His collaborative work with researchers across Europe and on diverse heritage sites indicates active participation in interdisciplinary research teams focused on advanced surveying and conservation technologies.

• Geotechnical Engineering
• Discrete Element Method (DEM) modeling
• Granular Material Behavior
• +۲ مورد دیگر

Michelle Lee Barry is an Associate Professor in the Department of Civil Engineering at the University of Arkansas College of Engineering. Her research focuses on multi-scale granular material behavior, experimentally validated discrete element method (DEM) models, and applications of geotechnical engineering in historic preservation. Ph.D., Texas A&M University (2013) M.S., Texas A&M University (2009) B.S., Texas A&M University (2008) Barry's research spans geotechnical laboratory testing, numerical modeling, and soil dynamics. She has applied these methodologies to infrastructure assessment (bridge scour, levees, dams) and additive manufacturing processes. Her work integrates experimental validation with computational modeling to address engineering challenges. Recent publications highlight her contributions to geophysical survey techniques, soil resistivity analysis, and DEM calibration for metallic powder simulations. Applications include transportation infrastructure, flood protection, and advanced materials fabrication. Barry teaches undergraduate Soil Mechanics and graduate courses in Numerical Modeling and Soil Dynamics. Her research has been published in journals such as Transportation Geotechnics , Geotechnical Testing Journal , and Granular Matter .

Patrick McInerneyمشاهده پروفایل

مدرس

• Photogrammetry
• 3D Modelling
• Lighting/Rendering
• +۹ مورد دیگر

Patrick McInerney is a Lecturer at South East Technological University (SETU) , Waterford, Ireland, affiliated with the Department of Computing and Mathematics and the Centre for Information Systems and Techno-culture. His research focuses on photogrammetry, 3D modeling, computational photography, and semantic technologies for digital cultural heritage and human-machine symbiosis. Education: BSc (Hons) in Industrial Computing; Postgraduate Diploma in Sociology (The Open University) Research Interests: Metrology-based documentation of cultural heritage, semantic web applications for street art archiving, and human-centered machine learning in digital humanities. His work bridges computer science, visual arts, and social sciences. Key Collaborations: Leads the MementoArtem Digital Street Art Archive project, collaborating with SETU Library, INSYTE-Cooley research group, and external partners. His research aligns with the UN Sustainable Development Goal of Quality Education through digital preservation. Professional Affiliations: Member of CIPA Heritage Documentation, ICOMOS, and IFAC. Active in the Technology, Culture and International Stability (TECIS) committee.