جست‌وجوی استاد و پژوهشگر

Saleem Sahawnehمشاهده پروفایل

مدرس

• Passive microwave remote sensing
• Radiometric calibration and validation
• Geophysical retrieval algorithms
• +۳ مورد دیگر

Saleem Sahawneh is a Lecturer in the Department of Electrical and Computer Engineering at the University of Central Florida since Fall 2022. He holds a Ph.D. in Electrical Engineering (UCF, 2017), a master’s in Electrical Engineering, and a bachelor’s in Computer Engineering. His teaching spans university, college, and adult education. Research Interests: His work focuses on passive microwave remote sensing, radiometric calibration, geophysical retrieval algorithms, and autonomous vehicle technology. He explores safe and effective ecosystems for autonomous vehicles and mobility infrastructure. Publications: Sahawneh’s research bridges autonomous vehicle ecosystems and remote sensing. Recent work includes studies on next-generation autonomous vehicle requirements (2019-2021) and hurricane imaging radiometry (2014-2017). His remote sensing publications address brightness temperature validation and geolocation techniques, while autonomous vehicle papers explore ecosystem architecture and safety standards. Grants & Awards: No grants or awards explicitly mentioned. Advising: No advisees listed. Labs/Teams: No specific labs or teams mentioned in the provided text.

• Computer Vision
• Face Recognition
• Machine Learning
• +۶ مورد دیگر

Jinho Shin is an active researcher and likely faculty member specializing in computer vision, machine learning, and their applications across various domains including biometrics, fraud detection, and semiconductor manufacturing. His work spans from theoretical foundations in queueing theory to cutting-edge applications of deep learning and federated learning systems. Dr. Shin's research interests focus on computer vision (particularly face recognition and anti-spoofing systems), machine learning algorithms, federated learning frameworks, and applications in healthcare fraud detection and semiconductor manufacturing optimization. His work demonstrates expertise in both theoretical foundations and practical implementations of AI systems. His recent publication trend shows a strong focus on computer vision security applications, particularly face anti-spoofing techniques using advanced neural network architectures like Vision Transformers. He has also made significant contributions to federated learning through his ProtoFL framework. Earlier in his career, he focused more on industrial applications in semiconductor manufacturing and queueing theory. Dr. Shin has established productive collaborations with researchers including Youngjun Kwak, Minyoung Jung, Changick Kim, and James R. Morrison, indicating active participation in research communities across computer vision, machine learning, and industrial engineering domains.

• Hydrology
• Remote Sensing
• Precipitation Measurement
• +۳ مورد دیگر

Linda Bogerd is a researcher at Wageningen University, affiliated with the Hydrology and Environmental Hydraulics group. Her work focuses on precipitation measurement, remote sensing, and environmental monitoring, particularly in urbanized river basins and tropical regions. She collaborates with experts like Hidde Leijnse, Aart Overeem, and Remko Uijlenhoet, contributing to advancements in hydrometeor classification, radar validation, and plastic pollution assessments. PhD thesis: Down-to-earth perspectives on spaceborne precipitation observations (2024) Her research integrates ground-based and spaceborne sensors, including Commercial Microwave Links (CMLs), meteorological radars, and radiometers. Key projects involve evaluating satellite precipitation products (IMERG, GPROF), improving shallow precipitation detection, and analyzing macroplastic pollution in rivers like the Odaw (Ghana) and Rhine (Europe). Recent publications highlight her expertise in tropical rainfall monitoring, urban hydrology, and climate data analysis. She contributes to datasets on river plastic measurements and participates in initiatives like the Deepening our understanding of shallow precipitation observations from space (2019-2024). No scientific awards or advisees are documented in available sources.

Shane Byrneمشاهده پروفایل

استاد

• Astrobiology
• Photogrammetry
• Planetary Analogs
• +۳ مورد دیگر

Shane Byrne is a Professor in the Department of Planetary Sciences at the University of Arizona. With over 15 years at the Lunar and Planetary Laboratory (LPL), he specializes in planetary surface processes involving ices, particularly on Mars and Ceres. His work integrates missions like HiRISE , Dawn , and ExoMars TGO , where he holds roles as Co-Investigator and Acting-PI. Research Focus: Planetary ices, Martian climate-ice interactions, Ceres' cryovolcanism, and lunar surface dynamics. Missions: Co-Investigator on HiRISE and CaSSIS, Guest Investigator on Dawn, and Director of the Space Imagery Center (NASA RPIF). Graduate Advising: Mentored students studying Martian polar processes, lunar regolith, and Ceres' surface evolution. Publication Trends (2019–2024): 15 articles highlight Mars' polar ice dynamics, Ceres' ice-exposing impacts, and lunar surface imaging. Keywords include Planetary Science, Remote Sensing, and Climate Modeling. Grants: Funded projects for the Space Imagery Center, Surveyor dataset digitization, and Europa mission instrument development. Outreach: Leads the Space Imagery Center's public archiving and educational events.

Jeffrey Walkerمشاهده پروفایل

پژوهشگر ارشد

• Soil Moisture Remote Sensing
• Microwave Radiometry
• Machine Learning for Environmental Data
• +۳ مورد دیگر

Jeffrey Walker is a Research Fellow in the School of Civil Engineering at the University of New South Wales . His work focuses on soil moisture retrieval using advanced remote sensing technologies, including synthetic aperture radar (SAR), L-band and P-band radiometers, and GNSS-R systems. He integrates machine learning algorithms for spatial downscaling, multi-scale modeling, and time-series analysis to improve hydrological monitoring in agricultural, urban, and infrastructure contexts. Key Research Areas : Soil moisture remote sensing, microwave radiometry, machine learning applications in environmental data, geospatial modeling, sustainable construction, and eco-friendly pavement design. Notable Contributions : Development of LSTM neural networks for pavement moisture prediction, novel downscaling methods using optical trapezoid models, and assimilation frameworks for land surface models. Recent Trends : Emphasis on UAV-based radiometry, multi-frequency sensor fusion, and addressing over-optimism in SAR soil moisture modeling. Applications : Smart rehabilitation of pavements, flood model calibration with crowd-sourced data, and crop yield estimation via satellite imagery fusion.

• 3D Photogrammetry
• Laser Scanning
• Remote Sensing
• +۴ مورد دیگر

Matti Vaaja serves as Professor of Digital Photogrammetry within the Department of Electronics and Nanoengineering at Aalto University. His research bridges microwave radiometry, remote sensing, and advanced 3D modeling techniques with applications spanning environmental monitoring, urban planning, and geospatial technology development. His academic credentials include a Licentiate degree in Engineering and Technology from Aalto University (awarded May 17, 2010) and a Master's degree from Helsinki University of Technology (awarded May 22, 2006). Vaaja's research program demonstrates significant evolution from foundational work in microwave radiometry of snow-covered lake ice (2014-2018) toward contemporary expertise in UAV photogrammetry, terrestrial laser scanning, and digital twin development. His current investigations focus on integrating multi-sensor remote sensing data for urban vegetation monitoring, 3D city modeling, and infrastructure assessment, with particular emphasis on change detection methodologies and environmental sustainability applications. This work intersects with geospatial engineering, computer vision, and sustainable urban development frameworks. Analysis of his 2022-2025 publications reveals dominant trends in multi-platform sensor fusion (UAV, terrestrial laser scanning, SLAM systems), game engine applications for environmental simulation, and practical implementations of geospatial data in construction and urban management. His research consistently addresses real-world challenges in biomass estimation, lighting analysis, and circular economy practices within built environments. He actively contributes to educational initiatives in geoinformatics at Aalto University and develops applied tools like the EODIE earth observation data extractor, demonstrating commitment to both academic advancement and practical implementation of geospatial technologies aligned with UN Sustainable Development Goals.

• Synthetic Aperture Radar (SAR)
• Remote Sensing Technology
• Geomatic Engineering
• +۴ مورد دیگر

Othmar Frey is a Senior Scientist and Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. He leads the research group on SAR Remote Sensing Technology and is associated with the Chair of Earth Observation and Remote Sensing. His work focuses on developing advanced radar systems and applications, including car-borne and UAV-based SAR for deformation monitoring, multi-static SAR constellations, and tomographic profiling of snow and forest structures. Frey holds a Ph.D. (2010) and M.Sc. (2002) from ETH Zurich and the University of Zurich. Education: Ph.D. (Hons.) in Science (2010) from the University of Zurich, Switzerland; M.Sc. (Hons.) in Geomatic Engineering (2002) from ETH Zurich. Research interests span Synthetic Aperture Radar (SAR) signal processing, interferometry, tomography, and remote sensing applications for environmental and civil engineering challenges. Notable projects include railway substructure monitoring via TerraSAR-X data, development of compact SAR systems (GLSAR/GSSAR), and the Alpine Measurement Lab for studying mass movements. His team collaborates with agencies like ESA, Innosuisse, and the Swiss Federal Office for the Environment. Advising: Supervises PhD students like Magnus Heimpel and Fanyun Xu, with former advisees now at EMPA, Leica Geosystems, and ITU. Research teams include the Earth Observation and Remote Sensing group at ETH Zurich.

Lars Kaleschkeمشاهده پروفایل

پژوهشگر

• Climate Science
• Remote Sensing
• Polar Research
• +۳ مورد دیگر

Lars Kaleschke is a sea-ice physicist at the Alfred Wegener Institute, focusing on remote sensing and observation systems for polar regions. His work examines sea ice dynamics, climate interactions, and the role of sea ice in Earth’s energy balance. Research Interests: Dr. Kaleschke studies Arctic and Antarctic sea ice using satellite data, microwave radiometry, and field observations. He investigates processes like melt pond formation, snow-ice interactions, and the impact of sea ice on global climate systems. His research also addresses technological advancements in remote sensing to improve monitoring of cryosphere changes. Key Projects: He contributed to the MOSAiC expedition, analyzing sea ice conditions and remote sensing data. His work includes developing the CryoRad mission concept for ultra-wideband microwave radiometry to monitor the cryosphere. He also leads efforts to validate satellite-derived sea ice thickness and snow depth products. Awards: Recipient of the Heinrich Award for contributions to paleoclimate dynamics and sea ice research. Labs/Teams: Collaborates with the Sea Ice Physics team at AWI and contributes to international initiatives like the ESA Climate Change Initiative and the FRAM Ocean Observing System.

• Marine Technology
• Arctic Technology
• Risk Analysis
• +۳ مورد دیگر

Janne Lahtinen is a Researcher at the Department of Energy and Mechanical Engineering, Aalto University. He works within the Marine and Arctic Technology research group and is associated with the Marine Technology field. His role involves contributing to doctoral-level research projects, as indicated by his designation as a Visitor (Doctoral Researcher) . Research Focus: Janne's work centers on maritime safety, systems engineering, and risk analysis. Key areas include remote pilotage automation, Bayesian network applications in risk modeling, and MBSE language selection frameworks. His research intersects with Marine Technology Arctic Engineering Human-Machine Interaction Safety-Critical Systems Recent Publications highlight methodologies for risk assessment in remote pilotage operations, decision-making tools for systems engineering, and hardware upgrades for microwave radiometry systems. These works span journals like Ocean Engineering , Expert Systems with Applications , and conference proceedings from MicroRad 2020 and ISSAV 2019 .

Detlef Bornمشاهده پروفایل

پژوهشگر

• Superconducting Detectors
• Terahertz Imaging
• Security Camera Technology
• +۵ مورد دیگر

Dr. Detlef Born is a Researcher at the Leibniz Institute of Photonic Technology (IPHT) in Jena, Germany, working within the Research Department Photonics and Quantum Detection and specifically in the Work group Radiometry. His research focuses on developing advanced imaging systems using superconducting detector technologies for security applications and fundamental physics investigations. Dr. Born's primary research interests center around superconducting detector technology, particularly transition-edge sensors (TES) and superconducting quantum interference devices (SQUIDs) for submillimeter-wave and terahertz imaging. His work spans both applied security technology and fundamental physics, with significant contributions to understanding fluxoid dynamics in type-II superconductors, Josephson junction behavior, and quantum detection phenomena. His research has enabled the development of passive video imaging systems operating at 350 GHz with exceptional sensitivity (pixel NETD well below 1 K), allowing for security screening at standoff distances of up to 25 meters with high spatial resolution. Analysis of Dr. Born's publication record from 2012-2025 reveals a consistent focus on advancing superconducting detector technology for security applications while simultaneously exploring fundamental superconducting phenomena. His work demonstrates a progression from foundational research on detector materials and quantum effects toward increasingly sophisticated integrated imaging systems capable of real-time video at practical standoff distances. The research spans multiple subfields including cryogenic detector physics, quantum transport phenomena, and optical system design for submillimeter radiation. Dr. Born collaborates extensively with researchers across multiple institutions, as evidenced by his publication record. His work involves sophisticated experimental setups requiring cryogenic systems operating below 1 K, precision optical components including free-form mirrors, and advanced electronic readout systems. The research group he works within at IPHT appears to be a leading center for developing practical applications of superconducting detector technology for security screening and scientific instrumentation.

Mustafa Aksoyمشاهده پروفایل

دانشیار

• Microwave Remote Sensing
• Radio Frequency Interference
• Cryosphere Monitoring
• +۱ مورد دیگر

Dr. Mustafa Aksoy is an Associate Professor in Electrical & Computer Engineering at University at Albany's College of Nanotechnology, Science, and Engineering. His research focuses on microwave remote sensing for cryosphere monitoring and RFI detection. He holds a PhD (2015) and MS (2014) in Electrical Engineering from Ohio State University, and BS from Bilkent University (2010). Prior to joining UAlbany, he conducted postdoctoral research at NASA Goddard Space Flight Center. His publications concentrate on radio frequency interference mitigation, microwave radiometry techniques, and Antarctic ice sheet monitoring. Recent work develops machine learning approaches for RFI detection and CubeSat radiometer calibration systems. Honors include NASA's Robert H. Goddard Exceptional Achievement Award (2016) and multiple travel grants from IEEE GRSS and USNC-URSI. He currently serves on IEEE GRSS's Frequency Allocations Committee and reviews for IEEE TGRS and GRSL.

Aaron Bergمشاهده پروفایل

استاد

• Hydrology
• Remote sensing
• Agricultural water management
• +۳ مورد دیگر

Aaron Berg is a Professor and Graduate Program Coordinator in the Department of Geography, Environment & Geomatics at the University of Guelph's College of Social and Applied Human Sciences. He leads research on soil moisture monitoring using remote sensing and hydrological modeling, with applications in agriculture, climate interactions, and northern water systems. Research Networks: Transformative Sensor Technologies and Smart Watersheds Northern Water Futures Morwick G360 Groundwater Research Institute

• Remote Sensing
• Machine Learning Applications
• Radiative Transfer Modeling
• +۲ مورد دیگر

Dr. Wei Li is a Research Professor in the Department of Physics at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. With a background in space physics from the University of Science and Technology of China and Chinese Academy of Sciences, Dr. Li has held research positions at multiple prestigious institutions since 1985. His research focuses on: Machine learning applications in remote sensing Radiative transfer modeling for atmosphere-surface systems Development of retrieval algorithms combining visible, infrared, and microwave data Atmospheric correction techniques for ocean color sensors Dr. Li's publications demonstrate consistent innovation in radiative transfer modeling and satellite data processing, with recent work emphasizing machine learning approaches for atmospheric correction, aerosol retrieval, and snow/ice parameter estimation. His research spans satellite sensors including GLI, SeaWiFS, MODIS, VIIRS, SGLI, and GOCI. With over 30 years of experience, Dr. Li has contributed significantly to remote sensing methodologies, particularly in developing algorithms for NASA's Cloud Absorption Radiometer and JAXA's GLobal Imager.

Junhong Wangمشاهده پروفایل

عضو هیئت علمی

• Climate Observations
• Data Creation and Analysis
• Global Navigation Satellite Systems (GNSS) Measurements
• +۳ مورد دیگر

Junhong (June) Wang is a Research Associate Professor at the Department of Atmospheric & Environmental Sciences, University at Albany. Their research focuses on climate observations, data creation/analysis, and applications of Global Navigation Satellite Systems (GNSS) measurements. They specialize in improving the quality of radiosonde and satellite data for climate studies. Dr. Wang holds a PhD from Columbia University, an MS from the National Research Center for Marine Environment Forecasts (China), and a BS from Peking University. Educational Background: PhD in Atmospheric Science, Columbia University MS in Atmospheric Science, NRCMEF (Beijing) BS in Atmospheric Science, Peking University Research Interests: Climate data homogenization and uncertainty quantification GNSS and radiosonde technology advancements Atmospheric boundary layer dynamics Extreme weather event analysis Key Article Trends: Recent work emphasizes long-term climate data validation, instrument transitions (e.g., RS92 to RS41 radiosondes), and process-oriented model evaluation. Studies integrate multi-platform observations (satellites, GPS, dropsondes) to address climate-scale questions. Labs/Teams: Active contributor to global climate observing networks like GRUAN and collaborates on field campaigns (e.g., Concordiasi, WISPAR). Engages in developing high-quality climate datasets for international projects.

Ignasi Corbellaمشاهده پروفایل

استاد

• microwave radiometry
• satellite radiometry
• airborne radiometry
• +۳ مورد دیگر

Ignasi Corbella is a Full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Signal Theory and Communications Department within the School of Telecommunication Engineering. He holds a Doctor Enginyer degree in Telecommunication from UPC and has been a faculty member since 1982, progressing from Assistant to Full Professor by 1993. His research focuses on microwave radiometry, satellite and airborne systems, and microwave circuit design, with notable work at NOAA/Environmental Technology Laboratory (1998–99) on radiometer calibration. Education: Doctor Enginyer in Telecommunication, UPC (1983) Enginyer in Telecommunication, UPC (1977) Research interests include microwave system design, nonlinear microwave circuits, and applications in environmental monitoring. He has contributed to projects like CommSensLab, PRS/NanoSat/FSSCat, and leads the Remote Sensing Laboratory. Teaching includes undergraduate microwaves and graduate courses on nonlinear circuits.