Find Academic Supervisors

Peter Surový is an Associate Professor at the Czech University of Life Sciences Prague (CZU), where he serves in the Department of Forest Management and Forest Conservation within the Faculty of Forestry and Wood Technology. He also holds the position of Vice-Chairman of the Academic Senate Dean's Board of the Faculty of Law at CZU, demonstrating his cross-disciplinary engagement within the university. Dr. Surový's research focuses on the application of advanced remote sensing technologies in forest management and conservation. His work spans multiple areas including: Utilization of satellite imagery and UAV/drone technology for forest health monitoring Bark beetle detection and forest disturbance assessment Forest fire risk modeling and assessment Drought impact analysis on forest ecosystems Development of innovative methods for forest inventory and mensuration His recent publications highlight a strong emphasis on integrating artificial intelligence with remote sensing data to address pressing forest management challenges. Dr. Surový has been particularly active in developing early warning systems for forest disturbances and creating practical tools that can be implemented by forest managers. His research often involves international collaborations, with projects extending to tropical forests in Ghana and Angola, demonstrating the global relevance of his work. Dr. Surový has been involved in several significant research projects including: "Mapping of forest health status, tree species, and forest risks using innovative ICT data and approaches" (TA0 2021-2024) "Monitoring the status and development of bark beetle-damaged stands after the bark beetle calamity" (MZE 2021-2023) "Frameworks and possibilities of forestry adaptation measures and strategies related to climate change" (EHP 2015-2016) His methodological contributions include certified methodologies for UAV-based forest monitoring and damage assessment, which have been adopted by forest enterprises in the Czech Republic. Dr. Surový's work bridges the gap between cutting-edge technology and practical forest management applications, making significant contributions to sustainable forestry practices.

• Remote Sensing
• Forest Management
• Bark Beetle Detection
• +5 more

Dr. Joanna Mencel is a Lecturer at Wroclaw University of Health and Sport Sciences, affiliated with the Department of Kinesiology. Her research focuses on neuromuscular physiology, posture analysis, and motor imagery applications in rehabilitation. ResearchGate profile: https://www.researchgate.net/profile/Joanna-Mencel ORCID: 0000-0001-8762-3160 Research Interests: Muscle mechanical properties assessment using MyotonPRO Motor imagery training for movement rehabilitation Parkinson's disease physiotherapy Postural ergonomics in young populations Surface electromyography mapping Neurophysiological responses to training Publications Trends: Joanna's work spans from fundamental muscle physiology studies (2014-2021) to advanced applications of virtual environments in prosthetic rehabilitation (2021). She has extensively explored myometric measurement methodologies (2021-2024) and maintains a strong focus on Parkinson's disease interventions through exercise physiology.

• Neuromuscular physiology
• Motor imagery training
• Physiotherapy for musculoskeletal disorders
• +3 more

Leif Anderson is a Research Assistant Professor in the Department of Geology & Geophysics at the University of Utah. His work focuses on glaciology, sediment transport dynamics, and climate-glacier interactions, with fieldwork conducted across alpine environments including Alaska, Iceland, Switzerland, and Canada. Key Research Themes: Sediment transport in debris-covered glaciers, thermochronometry of bedrock exhumation, numerical modeling of subglacial processes, and climate change impacts on cryospheric systems Methodologies: Luminescence dating, UAV thermal imaging, cosmogenic nuclide analysis, structure-from-motion photogrammetry, and 2D/3D glacier modeling Recent publications highlight his innovative Lagrangian ice-flow modeling of sediment transport (2025), quantification of non-conductive heat flux in supraglacial debris (2023), and historical glacier reconstructions using archival aerial photography (2021). Teaching activities include graduate thesis supervision and undergraduate courses in Earth surface processes. Current grants involve collaborative studies on glacial meltwater dynamics and sediment transport modeling with institutions like the Canyonlands Natural History Association and US Geological Survey.

• Glaciology
• Sediment Transport Dynamics
• Climate Change Impacts on Glaciers
• +3 more

Nicholas Charles Coops is a Professor and Department Head of Forest Resources Management at the University of British Columbia's Faculty of Forestry. He holds the UBC Chair in Forest Management and serves as Director of the Masters for Geomatics for Environmental Management program, while co-directing the Master of Sustainable Forest Management. Integrated Remote Sensing Studio (IRSS) Founder Canadian Forest Service Collaborator Developer of 3PGS and CAN-TG forest growth models Research Interests focus on: Linking vegetation pigments/structure to remote sensing data LiDAR applications for forest height and DEM modeling Dynamic Habitat Index (DHI) for biomass distribution analysis Machine learning for forest inventory and biodiversity monitoring Climate change impacts on boreal and temperate forests UAV-based phenotyping for forest management Recent Publications demonstrate expertise in LiDAR integration, satellite-based forest monitoring, and ecological modeling across diverse scales from individual trees to national datasets. Scientific Awards include: Seven consecutive Highly Cited Researcher designations (2019-2024) Canada Research Chair in Remote Sensing Royal Society of Canada Fellowship (2022) Marcus Wallenberg Prize (2020) UBC Killam Research Prize (2020) Canadian Remote Sensing Society Gold Medal (2020) Integrated Remote Sensing Studio leads collaborative projects with government agencies, industry partners, and international institutions to advance remote sensing applications in forestry, biodiversity conservation, and climate change mitigation.

• Remote Sensing
• Forest Management
• Biodiversity Monitoring
• +4 more

Sabrina Brigadoi is an Assistant Professor at the University of Padua, Italy, specializing in cognitive neuroscience and neuroimaging methodologies. Her research centers on functional near-infrared spectroscopy (fNIRS) and visual short-term memory , investigating neural mechanisms of attention, working memory, and visual search. She pioneers methodological advancements including motion correction algorithms, optimal source-detector configurations, and neonatal cap design for fNIRS applications. Her work bridges technical innovation with cognitive theory to enhance non-invasive brain imaging capabilities. Recent publications (2021-2025) reveal expanding applications in smartphone-based sensor registration , PTSD biomarker discovery , and infant neurodevelopment . Her research trajectory demonstrates progression from foundational fNIRS methodology to translational studies in clinical and developmental contexts, maintaining strong emphasis on visual cognition while diversifying into psychiatric and pediatric neuroscience.

• functional near-infrared spectroscopy
• visual short-term memory
• cognitive neuroscience
• +3 more

Dr. Alex Knodell is an Associate Professor of Classics and Director of the Archaeology Program at Carleton College since 2014. He specializes in Mediterranean and Middle Eastern archaeology, focusing on landscape dynamics, interaction networks, and long-term social change between 1400–700 BCE, particularly in Greece. His book Societies in Transition in Early Greece (2021) synthesizes late Mycenaean to Archaic period transitions through network and spatial analyses. Education: PhD in Archaeology from Brown University. Research spans intensive fieldwork in Greece (Mazi Plain, Small Cycladic Islands Project), Jordan (Brown Petra Project), and Guatemala. He employs GIS and network theory to study regional diversity, connectivity, and polity formation. Teaching includes courses on Mediterranean archaeology, ancient languages, and archaeological methods. Key projects include: Mazi Archaeological Project – Exploring Attica-Boeotia border dynamics. Small Cycladic Islands Project – Diachronic analysis of uninhabited landscapes. Archaeology of College Hill – Brown University's campus-based fieldwork pedagogy.

• Classical Archaeology
• Landscape Archaeology
• Mediterranean Prehistory
• +12 more

Maarten Vergauwen is a Professor at KU Leuven's Faculty of Engineering Technology, where he serves as head of Geomatics and campus chair for Science, Engineering and Technology Group across Ghent and Aalst Campuses. His institutional roles include head of the Division Digital and Sustainable Civil Engineering, Subdivision Geomatics Ghent, and contact person for Geomatics. His research focuses on the intersection of geomatics, computer vision, and artificial intelligence with applications in heritage documentation, 3D modeling, and infrastructure analysis. Key research thrusts include BIM automation, digital twin development for sewer systems, UAV-assisted bridge inspections, and AI-driven cultural heritage preservation. His work leverages advanced techniques in point cloud processing, transformer networks, and semantic segmentation to solve complex spatial problems. Vergauwen actively supervises graduate students on topics ranging from SCAN-to-BIM automation to digital epigraphic documentation of archaeological sites. His research is supported by numerous grants including CHAI: Cracking built Heritage with AI, Deep Sewer, Foundation Models for EO Big Data, and UAV-assisted bridge inspections projects. Member of East and West Flanders Workplace Safety Committee Member of Bureau ADS and Board of Faculty of Engineering Technology Observer of KU Leuven Student Services Council, Brugge He teaches courses including Geomatics 1 & 2, Fotogrammetrie, GIS, Topografie, and 3D-modelleren across KU Leuven's engineering programs.

• Geomatics
• Computer Vision
• Artificial Intelligence
• +7 more

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.

• Machine Learning
• Robotics
• Computer Vision
• +12 more

Sebastian Aho is a Project Employee in the Department of Built Environment, actively contributing to digital art and 3D modeling projects. His work focuses on photogrammetry, virtual reality, and collaborative creative processes in architectural visualization. Research Interests: Digital Arts, 3D Modeling, Photogrammetry, Virtual Reality, Architectural Visualization, Collaborative Art Recent Work Trends: Aho's recent projects (2022-2024) emphasize photorealistic 3D environments, immersive installations, and digital documentation of cultural heritage sites. His outputs combine technical precision with artistic innovation. Collaborations: Works closely with researchers like Hyyppä, Kurkela, and Handolin in multidisciplinary teams. Involved in the MeMo 2019 project and 3D modeling workshops.

• Digital Arts
• 3D Modeling
• Photogrammetry
• +3 more

Patricia Blessing , Associate Professor in the Department of Art and Art History at Stanford University, specializes in the art and architecture of the Islamic world, with a focus on the eastern Mediterranean from the twelfth to the sixteenth centuries. She co-directs the digital humanities project Reimagining Royal Space and leads Stanford Digital Architecture , which reconstructs historical monuments lost to conflict or disasters. Research Interests : Her work explores the intersection of architecture, material culture, and environmental factors, particularly water management in Ottoman buildings ( Arches Like Rainbows: Ottoman Water Architectures ). She employs eco-critical approaches to analyze how water features shaped architectural design and human interaction with nature. Scientific Awards : Fellowships from ANAMED Research Center for Anatolian Civilizations Barakat Trust British Academy International Center of Medieval Art Gerda Henkel Foundation Samuel H. Kress Foundation Society of Architectural Historians Publications and Projects : Blessing has authored two monographs and co-edited volumes such as Textile in Architecture (Routledge, 2023). Her recent articles in Al-ʿUṣūr al-Wusṭā , Architectural Histories , and Studies in Iconography reflect her expertise in medieval Islamic architecture, textile integration, and digital reconstruction.

• Islamic Art
• Islamic Architecture
• Medieval Architecture
• +8 more

Alicia Neesemann serves as a Scientific Staff Member within the Planetary Sciences and Remote Sensing working group at Freie Universität Berlin's Institute of Geological Sciences. Her research focuses on high-precision imaging and coregistration techniques applied to planetary surfaces, particularly through involvement in NASA's Dawn mission to Ceres and Mars exploration projects. Her research interests center on planetary geology with specialization in impact crater analysis, topographic mapping of dwarf planets, and remote sensing of surface processes. Key areas include cryovolcanism on Ceres, Martian aeolian features, and the geological evolution of airless bodies. Her work integrates stereo photogrammetry, crater counting chronology, and compositional analysis to unravel planetary histories. Neesemann's publication record since 2017 demonstrates consistent contributions to major planetary science journals including Geophysical Research Letters , Icarus , and Nature . Her research shows a pronounced focus on Ceres' geological features - particularly Occator crater's faculae formation mechanisms, crater chronology, and volatile-driven surface processes. Recent work extends to ExoMars landing site characterization and high-precision topographic mapping for Mars 2020 mission support. No scientific awards or major honors are documented in the available materials. Her collaborative research involves extensive work with international teams including Dawn mission scientists and planetary geologic mappers. Neesemann maintains active participation in planetary mapping initiatives and contributes to ongoing analysis of Ceres and Mars datasets. Her laboratory work involves advanced digital terrain modeling and stereo imaging processing within the Planetary Sciences and Remote Sensing group at FU Berlin.

• Planetary Geology
• Remote Sensing
• Impact Crater Analysis
• +4 more

Nicholas Coops is a Professor and Department Head at the University of British Columbia Faculty of Forestry , Department of Forest Resources Management. He holds the UBC Chair in Forest Management and directs the Integrated Remote Sensing Studio (IRSS) , focusing on remote sensing technologies for forest conservation, management, and production. His research spans vegetation physiology modeling, LiDAR applications, biodiversity monitoring, and climate change impacts on forests. Department Head, Forest Resources Management UBC Chair in Forest Management Director, Masters in Geomatics for Environmental Management Co-director, Master of Sustainable Forest Management Key research areas include: Integration of high spectral/temporal remote sensing with plant physiological models Development of light-use efficiency (LUE) estimation techniques National LiDAR deployment for forest structure analysis Dynamic Habitat Index (DHI) for biodiversity assessment 3PG/3PGS forest growth modeling with remote sensing inputs His recent work emphasizes: Advancements in LiDAR for forest inventory and carbon quantification UAV-based monitoring of tree physiological behavior Time-series analysis of forest recovery post-wildfire Deep learning fusion of ALS, multispectral, and topographic data Intertidal biofilm dynamics using hourly UAV acquisitions Climate adaptation studies in boreal and Pacific Northwest forests Scientific accolades include: Highly Cited Researcher (2019-2024) Fellow of the Royal Society of Canada (2022) Marcus Wallenberg Prize (2020) Gold Medal – Canadian Remote Sensing Society (2020) UBC Killam Research Prize (2020) Canadian Forest Service Collaboration Award (2013) Collaborations with Canadian Forest Service and international teams have produced: Best practice guides for LiDAR applications Nationally significant datasets via Canada Forest Information System Advancements in biodiversity monitoring frameworks (Science 2015, Nature 2016) Development of the Dynamic Habitat Index (DHI) applied globally

• Remote Sensing
• Sustainable Forest Management
• Forest Biodiversity Monitoring
• +3 more

Dr. Daniel Simms is a Senior Lecturer in Remote Sensing at Cranfield University's Environment Centre, specializing in applied remote sensing and GIS for land and agricultural information. With over two decades of experience, his career spans from GIS technician roles to leading significant international projects focused on environmental monitoring and agricultural applications. His educational background includes a degree from the University of Plymouth (2000), followed by an MSc in Geographical Information Management at Cranfield University. Dr. Simms has held various professional positions including Spatial Data Manager for Kent County Council and has been with Cranfield University since 2004. University: Cranfield University Department: Cranfield Environment Centre Academic Rank: Senior Lecturer Professional Recognition: Fellow of the Higher Education Academy (FHEA) Dr. Simms' research focuses on the integration of satellite and aerial imagery with ancillary spatial datasets for crop detection and cultivation estimation from field to regional scale. His work emphasizes developing methodologies for deriving accurate and timely information from remotely sensed data with minimal ground-based sampling requirements. Key research areas include Digital Agriculture, Monitoring and Environmental Informatics, and Natural Capital assessment. His publication record shows a clear progression from traditional remote sensing applications toward more advanced machine learning and deep learning techniques, particularly evident in his recent work (2022-2024) which heavily features convolutional neural networks, semantic segmentation, and hyperspectral analysis for agricultural monitoring and environmental assessment. Fellow of the Higher Education Academy (FHEA) Dr. Simms has extensive experience delivering training in remote sensing and GIS techniques, including to Afghan nationals under UN-sponsored capacity building projects and for the UK component of the 2013 EU LUCAS survey. His research has been supported by diverse clients including the UK Government, United Nations Office on Drugs and Crime, EPSRC, EU Framework Programme 7, and Energy Technologies Institute. His current research projects include Enhancing Potato Dormancy, RestREco (Restoring resilient ecosystems), OMENZ (Optimising Miscanthus Establishment), and opium cultivation monitoring in Afghanistan using Earth observation data.

• Remote Sensing
• Geographic Information Systems
• Digital Agriculture
• +6 more

Dr. Jinfei Wang is a Full Professor in the Department of Geography and Environment at the University of Western Ontario, affiliated with the Faculty of Social Science. She holds a B.S. and M.Sc. from Peking University and a Ph.D. from the University of Waterloo. Her research encompasses: Advanced remote sensing techniques for environmental monitoring Urban land use/cover change detection Agricultural applications using multi-platform data (UAV, satellite, radar) Machine learning applications in geography and planetary science Hyperspectral/Lidar data processing Big data analytics for Earth observation Analysis of her 2021 publications reveals strong focus on: Precision agriculture applications (crop health, yield estimation, soil moisture) Multi-sensor data fusion (UAV, RADARSAT-2, Sentinel) Machine learning for environmental parameter retrieval Urban development patterns and land cover mapping She teaches undergraduate and graduate courses including: GEO 2230: Remote Sensing GEO 3231: Advanced Topics in Remote Sensing GEO 9110: Introduction to Geographic Information Systems GEO 9418: Remote Sensing Digital Image Analysis Professor Wang has supervised 38 graduate students (16 PhD, 22 Masters) researching topics spanning agricultural remote sensing, urban studies, flood hazard mapping, and planetary feature extraction.

• Remote Sensing
• Geographic Information Systems
• Land Use Monitoring
• +9 more

Nicolò Dell'Unto is a Professor of Archaeology at the Department of Archaeology and Ancient History, Lund University, where he serves as Director of the Lund University Digital Archaeology Laboratory (DARKLab), a national infrastructure for digital archaeology and 3D visualization. He additionally holds significant roles as Board member of Insynsrådet för Statens historiska museer (SHM), Domain specialist in Digital Archaeology at Swedish National Data Service (SND), and Board member of the Open Science Champions at Lund University. Dell'Unto received his PhD in technology and management of cultural heritage from the Institute for Advanced Studies, IMT Lucca, Italy, following archaeology studies at the University of Rome, La Sapienza. His academic trajectory includes research work at the Institute for Technologies Applied to Cultural Heritage (ITABC-CNR) in Italy and postdoctoral fellowship at the University of California Merced. Since August 2019, he has maintained a visiting professorship at the Museum of Cultural History, University of Oslo. His research focuses on how digital technologies—particularly Laser Scanners, Photogrammetry Techniques, GIS, and Virtual Reality—transform archaeological investigation and interpretation. With fieldwork spanning multiple countries, Dell'Unto pioneers innovative digital methodologies that bridge traditional archaeological practice with cutting-edge technological approaches. His work directly contributes to UN Sustainable Development Goals related to cultural heritage preservation. Analysis of Dell'Unto's recent publications reveals a clear trajectory toward integrating artificial intelligence with archaeological practice, advancing 3D documentation systems, and developing robust digital infrastructures for research and education. His scholarly output demonstrates growing emphasis on AI applications, data reuse frameworks, and the transformative impact of digital tools on archaeological methodology. Einar Hansen Prize for Outstanding Achievements in Humanities (2017) Lunds Studenkårs Pedagogiska pris for teaching excellence (2013) Election to Royal Physiographic Society of Lund (2024) Election to Vetenskapssocieteten i Lund (2020) Highly Cited Research recognition in Journal of Cultural Heritage (2017) Best Paper Award (2014) As an academic leader, Dell'Unto directs DARKLab while overseeing digital archaeology courses at Lund University. He supervises doctoral students and leads major research initiatives including RE-OSTRAKON (3D artifact scanning), TETRARCHs (data reuse transformation), Beyond ports (Mediterranean connectivity), and AIR (Archaeological Interactive Report). His research fingerprint shows significant contributions across Digital Arts and Humanities, Archaeological Methods, and Virtual Environments. The Lund University Digital Archaeology Laboratory (DARKLab), under Dell'Unto's direction, functions as a national hub for digital archaeological research. The laboratory maintains strategic collaborations with the Swedish National Infrastructure for Archaeological Science and The Swedish National Infrastructure for Digital Archaeology (SweDigArch), supporting researchers across Sweden and internationally in applying advanced digital methods to archaeological questions.

• Digital Archaeology
• 3D Visualization
• Spatial Technology
• +8 more