جستجوی استاد راهنمای دانشگاهی

Lars Ulander is a Professor at Chalmers University of Technology specializing in radar remote sensing. His research focuses on synthetic aperture radar (SAR) signal processing, particularly for applications in forest biomass mapping and ground imaging using VHF/UHF-band systems. He is a key proposer for ESA's BIOMASS satellite mission (launching 2025) and leads the BorealScat project, utilizing a 50-meter tower-based tomographic radar to study boreal forest dynamics. His work spans radar system development, SAR tomography techniques, and environmental monitoring of forests and sea surface currents. Current research areas include vegetation water content estimation, bistatic radar configurations, and optimization of SAR data processing algorithms for multi-temporal analysis. Recent publications demonstrate expertise in P-band/L-band SAR for biomass retrieval, passive radar systems, and interferometric techniques. His articles investigate radar backscatter sensitivity to forest structure, moisture parameters, and seasonal changes, while contributing to mission design frameworks like SLAINTE and SESAME.

• Radar Remote Sensing
• Synthetic Aperture Radar (SAR)
• Forest Biomass Mapping
• +۳ مورد دیگر

Leif Eriksson is a Professor at Chalmers University of Technology , specializing in Radar Remote Sensing within the Department of Space, Earth and Environment . His career at Chalmers began in 2004, and he was promoted to Professor in 2022 after serving as Group Leader (2012–2017) and Head of Faculty Assembly (2017–2020). His research focuses on developing advanced methods for environmental monitoring using radar data, particularly synthetic aperture radar (SAR) from satellites and aircraft. Leadership Roles: Group Leader (Radar Remote Sensing), Faculty Assembly Head Key Collaborations: Rymdstyrelsen, EU Horizon, VINNOVA, European Space Agency Research Interests : Dr. Eriksson’s work spans forest biomass estimation , sea ice dynamics , and ocean surface current/wind retrieval . He integrates SAR data with in situ observations and climate models to study: Forest degradation (clear cuts, storm damage) via multi-temporal SAR Sea ice concentration, drift patterns, and thickness in Arctic regions Wind vectors and surface currents using interferometric SAR techniques Applications for maritime navigation safety and polar shipping optimization Article Trends : His recent publications emphasize SAR’s role in transport infrastructure monitoring (e.g., Iron Ore Line degradation), pan-Arctic landfast ice stability , and multi-frequency SAR fusion for enhanced sea ice observations. Collaborative work with teams across Europe and the U.S. highlights interdisciplinary approaches to climate and marine research. Projects & Grants : Dr. Eriksson leads or contributes to projects such as: CAISA (2022–2024): Air-ice-sea data assimilation EONav (2016–2019): Copernicus data for maritime navigation SEDNA (2017–2020): Safe Arctic shipping Forest Biomass Monitoring (2017–2018): Spaceborne SAR applications His work is supported by Rymdstyrelsen, EU Horizon, and industry partners like Trafikverket. Labs & Teams : He is central to the Radar Remote Sensing Group at Chalmers, collaborating with institutions like Lund University and international bodies such as ESA. His research often involves satellite campaigns (e.g., TanDEM-X, Sentinel) and field studies in polar regions.

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• Sea Ice Dynamics
• +۳ مورد دیگر

Professor Göran Broström works at the Department of Marine Sciences at the University of Gothenburg . His research focuses on physical oceanography, marine turbulence, tidal energy systems, and biophysical processes in marine ecosystems. Current research themes include methane emissions from ocean infrastructure, turbulence in tidal flows, and wave-current interactions He utilizes advanced numerical modeling (e.g., Large Eddy Simulation, Bayesian inversion) and field observations Recent publications emphasize climate impacts (methane plumes), tidal energy innovations, and marine ecological connectivity His work appears in high-impact journals like Nature , Molecular Ecology , and Frontiers in Marine Science . Collaborative projects span oceanographic modeling, environmental monitoring, and marine renewable energy. No specific student advising information appears in the provided text.

• Physical Oceanography
• Marine Turbulence and Current Dynamics
• Tidal Energy and Renewable Resources
• +۳ مورد دیگر

Saleh Javadi is a Senior Lecturer at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He is actively engaged in research and teaching within the field of systems engineering. His educational background includes: B.Sc. in Electrical-Control Engineering from Amirkabir University of Technology (2009) M.Sc. in Electrical, Electronic and Systems Engineering from The National University of Malaysia (2013) Ph.D. in Systems Engineering from Blekinge Institute of Technology (BTH) (2021) Saleh Javadi's research focuses on signal processing, machine learning, and computer vision , with applications spanning remote sensing, intelligent transportation systems, and AI-driven industrial optimization. His work bridges theoretical advancements with practical implementations, particularly in SAR imagery analysis, drone-based agricultural monitoring, and traffic surveillance systems. His recent publications demonstrate a strong focus on remote sensing technologies, particularly Synthetic Aperture Radar (SAR) image processing and analysis. There's a clear trend toward applying machine learning techniques to solve complex problems in aerial and satellite imagery, traffic monitoring, and agricultural applications. His research shows interdisciplinary connections between computer vision, signal processing, and practical engineering applications. Saleh Javadi has received significant recognition for his innovative work: Innovator of the Year award (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimizing and reducing energy consumption in industries by using artificial intelligence ÅForsk Entrepreneur's prize at the Swedish Innovation Council Day – Swedish Incubators & Science Park's annual conference in May 2019 Dr. Javadi is involved in practical applications of his research through projects such as "Artificiell intelligens AI kan reducera ogräsfrön i utsäde" (ongoing) and "Bekämpa Renkavle med hjälp av drönare och Artificiell Intelligens (AI)" (completed). His work demonstrates a strong commitment to translating academic research into real-world solutions that address industrial and environmental challenges. His research appears to be conducted within a collaborative framework, working with colleagues on drone technology, SAR image analysis, and AI applications across multiple domains including agriculture, maritime monitoring, and transportation systems.

• Systems engineering
• Signal processing
• Machine learning
• +۱ مورد دیگر

Erchan Aptoula is a Professor of Computer Science at Sabanci University's Faculty of Engineering and Natural Sciences in Istanbul, Türkiye. He is affiliated with the Computer Vision and Pattern Analysis Laboratory (VPALab) and actively conducts research in digital image analysis, computer vision, and deep learning with a focus on remote sensing and (bio)medical data. University: Sabanci University School: Faculty of Engineering and Natural Sciences Academic Rank: Professor Email: erchan.aptoula@sabanciuniv.edu His research interests span domain generalization for remote sensing, explainable AI, medical image analysis, and precision agriculture applications. Recent work includes advancements in open-set domain generalization for hyperspectral classification, pollen classification with novel datasets, and domain adaptation techniques for SAR flood segmentation. Scientific contributions include 15+ recent publications addressing domain generalization, semantic segmentation, and uncertainty quantification in remote sensing and medical imaging. Awards include 2nd place at IEEE SIU'25 student paper awards. Projects involve international collaborations with institutions in Tunisia, Finland, and the UK, focusing on medical image understanding, crowd counting, and Ottoman document analysis.

• Digital Image Analysis
• Computer Vision
• Remote Sensing
• +۳ مورد دیگر

Gunnar Elgered is a Professor at Chalmers University of Technology, specializing in space geodesy and atmospheric research. His work is centered at the Onsala Space Observatory, where he utilizes radio telescopes and Global Navigation Satellite Systems (GNSS) for geodetic and atmospheric studies. Previously serving as department head from 2000 to May 2017, he continues active research and teaching in engineering measurements with innovative examination methods. His research focuses on: Space geodesy using GNSS and VLBI techniques Atmospheric water vapor monitoring via microwave radiometers Climate research through long-term GNSS data analysis Tropospheric delay modeling for weather forecasting improvement Development of error correction models for geodetic applications Recent publications (2023–2025) demonstrate sustained leadership in atmospheric parameter assessment using co-located instrumentation at Onsala. His work shows increasing emphasis on climate model evaluation, with key contributions to GNSS interferometric reflectometry for sea level monitoring and tropospheric error modeling. The research integrates multiple geodetic techniques to address atmospheric variability and climate change impacts. Professor Elgered actively contributes to international geodetic infrastructure through the International VLBI Service (IVS), particularly via Onsala Space Observatory's Analysis Center activities. His projects focus on enhancing geodetic observing systems for climate monitoring, including the VGOS (VLBI Global Observing System) and co-location of geodetic techniques.

• Space Geodesy
• GNSS (Global Navigation Satellite Systems)
• Atmospheric Water Vapor
• +۴ مورد دیگر

Rolf Larsson is a Senior Lecturer and Researcher at Lund University's Division of Water Resources Engineering , Faculty of Engineering (LTH). He serves as Director of the UNU Hub on Water in a Changing Environment (WICE) , a collaboration between Lund University and the United Nations University. His work aligns with UN Sustainable Development Goals (SDGs), particularly in water engineering and civil engineering. Active in flood risk assessment (100% Sweden-related) Specializes in rainfall analysis (81% Nordic/Baltic focus) Develops meteorological radar applications (75% X-band technology) Advances water policy coordination (79% regional management) He leads projects like FarmWise (2024-2026) and WATERAGRI (2020-2024), focusing on agricultural water innovations. Recent outputs include peer-reviewed articles on microscale rainfall observation (2023) and policy recommendations for national water strategies (2022). Scientific awards: Not explicitly mentioned. Supervision: Active in mentoring master's and PhD students. Collaborations: Works with institutions across Norway (66%), Baltic states, and the EU. Techniques include dual-polarization radar networks and wetland technology for nutrient recovery.

• Water Engineering
• Civil Engineering
• Sustainable Development
• +۹ مورد دیگر

Bruna G. Palm is a Lecturer at the Department of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Sweden. She holds a BA (2014) and PhD (2020) in Statistics from Brazilian institutions and has held visiting and research fellow positions at BTH and the Aeronautics Institute of Technology (ITA). Education: BA in Statistics (2014), PhD in Statistics (2020) Current Role: Lecturer at BTH Collaborations: Saab AB, Sweden Her research bridges statistical modeling with remote sensing and signal processing , focusing on SAR image analysis , change detection , and machine learning applications. She has also contributed to environmental data forecasting and educational pedagogy in STEM. Key trends include Bayesian inference , autoregressive models , and Rayleigh distribution techniques for SAR imagery. Her work on resin composite masking extends into dentistry , highlighting interdisciplinary reach. She has no listed scientific awards but maintains active profiles on LinkedIn , Google Scholar , and ORCID .

• Statistical Modeling
• Signal Processing
• Remote Sensing
• +۴ مورد دیگر

Thomas Kalscheuer is a Senior Lecturer and Associate Professor in Applied Geophysics specializing in electromagnetic methods at Uppsala University's Department of Earth Sciences, Geophysics section. He has been with Uppsala University since 2013 and was awarded Docent (Associate Professor) status in 2017. His work focuses on developing advanced geophysical methods for subsurface imaging and characterization. His educational background includes: PhD in Geophysics from Uppsala University (2008) Diplom-Geophysiker from University of Cologne, Germany (2004) Postdoctoral Fellowship at Swiss Federal Institute of Technology, Zurich (2009-2013) Dr. Kalscheuer's research centers on the development of multidimensional numerical forward modeling and inversion schemes for geophysical electromagnetic and potential field methods. He specializes in joint interpretation of EM, seismic, potential field and borehole data, with applications spanning geotechnical engineering, hardrock geology, tectonics, hydrology, geothermal systems, and volcanology. His current work focuses on 3D inversion algorithms for natural and controlled-source EM methods, building on his earlier contributions to 1D and 2D inversion schemes, model error analysis, and resolution studies. Analysis of his recent publications (2018-2025) reveals a strong focus on advancing 3D electromagnetic inversion techniques, with particular emphasis on transfer function data processing, mesh refinement strategies, and integration of multiple geophysical datasets. His work increasingly addresses practical applications in groundwater surveying, fracture zone detection in hard rock environments, and geothermal system characterization, demonstrating the applied value of his methodological innovations. His notable recognition includes: Distinguished University Teacher award from Uppsala University (2024) Dr. Kalscheuer has supervised numerous research projects, particularly those involving collaboration between Uppsala University and international partners. His work often involves field studies in Sweden (including the Äspö Hard Rock Laboratory site), the Okavango Delta in Botswana, and various locations in Europe. He has secured research funding for projects related to electromagnetic method development and their application to geological and hydrological problems, though specific grant details are not provided in the available information. His research is conducted within the Geophysics section of Uppsala University's Department of Earth Sciences, where he collaborates closely with colleagues specializing in seismic methods, potential field methods, and geological interpretation. His work at the Äspö Hard Rock Laboratory demonstrates involvement with a major international research facility for studying deep geological processes and repository technology.

• Geophysics
• Electromagnetic Methods
• Numerical Modeling
• +۷ مورد دیگر

Rickard Pettersson is a Senior Lecturer in Physical Geography at Uppsala University's Department of Earth Sciences, where he works within the Program for Air, Water and Landscape Sciences. His research focuses on glaciology and the dynamics of ice sheets, with particular emphasis on the flow dynamics, stability, and climatic response of glaciers. Dr. Pettersson's research interests center on glacier mass balance, thermodynamics, and the coupling between dynamical and hydrological processes on glaciers and ice sheets. He specializes in collecting, processing, and interpreting geophysical and remote sensing data, and assimilating these data into glaciological models. His work spans multiple geographical regions including Svalbard, Greenland, Antarctica, and Sweden, with particular focus on Storglaciären in Sweden. Analysis of his recent publications reveals a strong focus on Arctic and Antarctic glacial systems, with particular attention to Svalbard. His research examines ice sheet hydrology (particularly firn aquifers), glacier mass balance, subglacial processes, and the impacts of climate change on glacial systems. Methodologically, his work combines field measurements, remote sensing techniques (especially ground-penetrating radar), and numerical modeling approaches. Dr. Pettersson maintains an active research profile with numerous collaborations across international institutions. His work appears in leading journals in glaciology and earth sciences including The Cryosphere, Journal of Glaciology, and Geophysical Research Letters. While specific grant information isn't provided in the available text, his extensive publication record spanning multiple continents suggests participation in significant research projects and collaborations. His research group appears to focus on physical geography with emphasis on glaciological fieldwork and data analysis. The Program for Air, Water and Landscape Sciences at Uppsala University likely provides the institutional framework for his research activities, facilitating studies of cryospheric processes in both Arctic and Antarctic environments.

• Glaciology
• Ice sheet dynamics
• Glacier mass balance
• +۵ مورد دیگر

Matthias Siewert is an Associate Professor at the Department of Ecology and Environmental Science, Umeå University. His research focuses on Arctic and permafrost environments, employing GIS, remote sensing, and drone technologies to study soil organic carbon dynamics, vegetation distribution/productivity, and plant-herbivore interactions (e.g., voles, reindeer). He teaches geosciences, physical geography, geomorphology, and advanced GIS/remote sensing courses. Key research interests include: Permafrost degradation and its environmental impacts Arctic vegetation mapping at high spatial resolution Carbon cycle dynamics in peatlands and tundra Applications of UAVs and machine learning in ecological monitoring He leads or participates in research projects such as the EU-funded ILLUQ project (2024–2025) and the 'Greening of the Arctic' initiative. His work bridges science and society through outreach projects like the 'Frozen-Ground Cartoons' collaboration with artists to communicate permafrost science. Recent publications emphasize innovative methods like deep learning for ant mound mapping and high-resolution biomass assessments. He actively engages in international collaborations, contributing to pan-Arctic datasets and policy-oriented educational frameworks.

• Arctic Ecology
• Remote Sensing
• GIS Applications
• +۴ مورد دیگر

Vessen Vassilev serves as an Associate Professor in the Department of Microtechnology and Nanoscience at Chalmers University of Technology, Sweden, where he has been affiliated since 1998. His academic journey began at Sofia Technical University before transitioning to Chalmers for advanced degrees and his current research leadership role. His educational qualifications include: M.Sc. in Radio Communications, Sofia Technical University, Bulgaria (1995) M.Sc. in Digital Communications, Chalmers University of Technology (1998) Ph.D., Department of Radio and Space Science, Chalmers University of Technology (2003) Professor Vassilev's research focuses on pioneering Monolithic Microwave Integrated Circuits (MMIC) for frequencies exceeding 100 GHz, with dual emphasis on circuit design and specialized packaging technologies. His work extends to millimeter-wavelength sensor development, most notably an automotive polarimetric radar system validated in real traffic conditions for road surface characterization—a breakthrough enabling differentiation between wet, icy, and dry pavement through advanced electromagnetic sensing. Analysis of his recent publications (2021-2025) reveals concentrated expertise in D-band/E-band communications, automotive radar applications, and innovative packaging solutions. Key thematic threads include road surface sensing using polarimetric techniques, high-speed wireless data transmission above 100 GHz, and gap waveguide antenna integration—demonstrating consistent contributions to next-generation millimeter-wave systems for both communication and safety-critical applications. He maintains active research within Chalmers' Microwave Electronics Laboratory, driving projects that bridge theoretical circuit design with practical implementation in radio astronomy heritage systems and emerging automotive technologies.

• Monolithic Microwave Integrated Circuits (MMIC)
• Millimeter-wave and Terahertz Electronics
• Packaging Technologies for High-Frequency Circuits
• +۲ مورد دیگر

Dorota Religa is a Professor and Senior Physician at Karolinska Institutet's Department of Neurobiology, Care Sciences and Society, where she leads the Dementia and Multimorbidity research group. She specializes in dementia, Alzheimer's disease, aging, and frailty, with a focus on registry-based studies using the Swedish Dementia Registry (SveDem) to improve care for patients with cognitive impairment and comorbidities. Her research examines diabetes-dementia interactions, blood biochemistry trajectories, antipsychotic treatments for behavioral symptoms, and multidisciplinary approaches to neurodegenerative disorders. She has supervised over 50 doctoral and master's students, including projects on cardiovascular comorbidities, caregiver mental health, and pharmacoepidemiology. Religa's recent publications focus on COVID-19 impacts in older adults, dementia care disparities, and novel diagnostic technologies. She collaborates internationally on projects like RADAR-AD for remote dementia monitoring. Grants supporting her work include funding from the Swedish Research Council, Stockholm County Council (ALF), Alzheimerfonden, and Horizon 2020. Her laboratory investigates modifiable risk factors in dementia, emphasizing clinical translation and health system improvements.

• Multimorbidity
• Frailty
• Dementia
• +۳ مورد دیگر

Josephine Sullivan is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Division of Robotics, Perception and Learning. She is a core faculty member of Digital Futures, a cross-disciplinary research center addressing global challenges through digital technologies. Her research focuses on AI-driven environmental monitoring, disaster management, and deep learning applications in computer vision and remote sensing. She has supervised projects such as the fusion of radar and optical remote sensing for wildfire monitoring and contributes to initiatives like EO-AI4GlobalChange. Sullivan teaches advanced courses in deep learning, generative models, and machine learning at KTH, emphasizing hands-on training and research integration. Her work bridges theoretical advancements in neural networks with practical solutions for climate-related disasters, leveraging satellite imagery and time-series data. Recent projects highlight innovations in wildfire prediction datasets (Wildfirespreadts) and robust networks for disaster damage assessment (DisasterAdaptiveNet). She collaborates across disciplines at Digital Futures, contributing to labs and teams focused on AI ethics, sustainable technologies, and global change mitigation. Sullivan’s academic leadership includes roles as course examiner and responsible for multiple graduate programs in computer science and engineering.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Christos Matsoukas is a Researcher and Industry doctoral student at the Division of Computational Science and Technology, KTH Royal Institute of Technology. His work bridges Artificial Intelligence and Planetary Science, focusing on medical image analysis via advanced machine learning techniques and exploring Titan's surface composition using remote sensing data from missions like Cassini. His research interests span Medical Image Analysis, leveraging transformer models and self-supervised learning for diagnostic applications, as well as Planetary Science analyzing Titan’s chemical composition through spectral and morphological analysis of craters and geological features. Recent studies investigate the efficacy of foundation models in low-data medical contexts and domain adaptation strategies for high-content imaging. Publications highlight innovations like Random Token Fusion for multi-view diagnosis, Metadata-guided consistency learning, and compositional mapping of Titan’s surface using Cassini/VIMS and RADAR data. His work contributes to both AI-driven healthcare solutions and understanding Titan’s habitability potential.

• Medical Image Analysis
• Artificial Intelligence
• Planetary Science
• +۳ مورد دیگر