جست‌وجوی استاد و پژوهشگر

Judith Brownمشاهده پروفایل

استاد

• Plant Pathology
• Virology
• Vector Biology
• +۵ مورد دیگر

Judith Brown is a Regents Professor at the University of Arizona’s School of Plant Sciences, part of the College of Agriculture, Life & Environmental Sciences. Her research focuses on plant viral pathogens, vector biology, and functional genomics, with particular emphasis on begomoviruses, Liberibacter spp., and whitefly/psyllid transmission mechanisms. She holds dual roles as a faculty member in six interdisciplinary programs: Biodiversity & Evolutionary Biology, Controlled Environment Agriculture, Genomics, Bioinformatics & Systems Biology, Microbiology, and Plant Protection & Pathology. Dr. Brown earned her Ph.D. (1984) and M.S. (1981) in Plant Pathology from the University of Arizona and Washington State University, respectively, alongside a B.S. in Horticulture from Texas A&M University. Her work integrates high-throughput sequencing, CRISPR-Cas12a gene editing, and RNA interference approaches to combat plant diseases. Her research portfolio includes studies on cotton leaf curl disease dynamics, potato psyllid-Liberibacter interactions, and development of dsRNA-based biopesticides. Recent publications emphasize genomic discoveries in plant-pathogen-vector complexes and diagnostic tool innovation. She teaches virology courses at both undergraduate (PLP/MIC 333) and graduate (PLP/MIC 611) levels. Notable research directions include exploring climate change impacts on pathogen transmission, optimizing scouting strategies for citrus greening disease, and characterizing viral diversity in under-researched regions like Oman and Côte d’Ivoire.

Mikhail Gilmanمشاهده پروفایل

استاد پژوهشی

• Radar Imaging
• SAR Imaging
• Remote Sensing
• +۴ مورد دیگر

Mikhail Gilman is an Associate Research Professor in the Department of Mathematics at North Carolina State University (NCSU), based in SAS Hall 3210. He serves as a core faculty member in NCSU's Radar Imaging research group, focusing on advanced radar technologies and their mathematical foundations. Dr. Gilman earned his PhD from the State Institute of Physical and Technical Problems in Russia in 1998. His academic journey spans interdisciplinary research connecting applied mathematics, electromagnetics, and remote sensing. His research centers on radar imaging, particularly synthetic aperture radar (SAR) systems. Key interests include mitigating phase distortions from turbulent media propagation (especially ionospheric effects), developing novel radar target models, and innovating change detection paradigms in SAR imagery. He integrates analytical methods, computational simulations, and machine learning to solve complex problems in transionospheric SAR imaging, with significant contributions to autofocus algorithms and ionospheric distortion correction. His work bridges theoretical mathematics and practical remote sensing applications. Recent publications reveal a concentrated focus on transionospheric SAR challenges, with 10 of the last 15 papers addressing ionospheric effects, autofocus techniques, and machine learning applications. His 2017 book Transionospheric Synthetic Aperture Imaging (Birkhäuser) established foundational frameworks, receiving positive reviews in SIAM Review and AMS MathSciNet. Dr. Gilman actively leads the Radar Imaging group at NCSU, which develops analytical tools and machine learning approaches for radar technology advancement. The group's work, detailed in their research flyer, emphasizes practical solutions for real-world remote sensing challenges.

• Geomorphology
• Karst Systems
• Hydrogeology
• +۱۳ مورد دیگر

Carles Roque Pau is an Associate Professor in the Department of Environmental Sciences at the University of Girona, Spain, where he specializes in geomorphology and environmental geology. His research focuses on karst systems, sinkholes, groundwater dynamics, and geophysical methods for hazard assessment. He is a key member of the Research Group on Environmental Geology and Cartography. Institution: University of Girona Department: Department of Environmental Sciences Research Group: Research Group on Environmental Geology and Cartography Email: carles.roque@udg.edu His educational background, though not explicitly detailed, is inferred from his long-standing research and publication record in geomorphology and Quaternary geology. He has contributed extensively to geological mapping in Catalonia and has collaborated on interdisciplinary projects involving archaeology and paleoenvironmental reconstruction. Roque’s research interests span geomorphology, hydrogeology, karst systems, and geological hazards. He employs geophysical techniques such as Electrical Resistivity Tomography (ERT), Ground Penetrating Radar (GPR), and trenching to study sinkhole formation, tufa mounds, and evaporite dissolution. His work integrates field observations with stratigraphic and paleoclimatic analysis, particularly in the Pyrenees and Ebro Basin. He also investigates the impact of climate change on geomorphological processes, including drought effects on sinkhole development and natural acid rock drainage. The recent publications reflect a strong trend in applying integrated geophysical and stratigraphic methods to understand subsurface processes in karst and evaporite terrains. The research spans from pure geomorphology to applied environmental geology, with increasing emphasis on hazard assessment, urban risk, and climate change impacts. Topics include hypogenic karst, salt diapirism, radon in groundwater, and prehistoric flint exploitation, demonstrating both depth and breadth in geological inquiry. While no formal scientific awards are listed in the provided text, his sustained publication record in high-impact journals and leadership in multiple research projects indicate significant recognition within the academic community. Roque has supervised or co-supervised several research projects, particularly in the areas of Neanderthal resource use and sinkhole characterization. He has collaborated extensively with researchers such as Francisco Gutiérrez and Anna Menció on hydrogeological and geomorphological projects. His involvement in EU and national grants highlights his role in advancing environmental research in Spain. He is actively involved in geological mapping through the Institut Cartogràfic i Geològic de Catalunya, contributing to official 1:25,000 scale maps. He also participates in interdisciplinary teams focused on prehistoric archaeology, particularly in the study of Neanderthal behavior and lithic resource exploitation in northeastern Iberia.

• Computational Electromagnetics
• Antenna Design
• Electromagnetic Scattering
• +۳ مورد دیگر

Eliseo García García is a Professor at the University of Alcalá, affiliated with the Department of Automatic Control and Systems Engineering. He holds a Ph.D. from the University of Alcalá, awarded in 2005 for his thesis on computational electromagnetics. His primary research focuses on computational methods for electromagnetic analysis, including the development of efficient algorithms like the Characteristic Basis Function Method (CBFM) and hybrid techniques with the Multilevel Fast Multipole Algorithm (MLFMA). He is a core member of the GEC (Computational Electromagnetic Group), where he explores geophysical applications, antenna design, and high-frequency electromagnetic problems. His research interests bridge theoretical and applied electromagnetics, with particular emphasis on reducing computational costs in solving large-scale EM problems. Notable contributions include advancements in radar cross-section (RCS) computation, radome structure analysis, and geothermal exploration frameworks using hydrogeophysical methods. He has also published extensively on numerical techniques for antenna trajectory simulations and sparse matrix preconditioning. Eliseo’s work spans multiple disciplines, including aerospace engineering, environmental science, and software development, as evidenced by his contributions to Altair Feko 2023 updates. Despite no listed awards, his prolific publication record (over 70 articles from 2013–2024) underscores his active role in advancing computational electromagnetics and its interdisciplinary applications. His advising and grants section remains unreported, but his involvement in collaborative projects is implied through frequent co-authorships and institutional affiliations. He leads the GEC lab, focusing on cutting-edge computational tools and their practical deployment in real-world engineering challenges.

• Signal Processing
• Passive Radar Systems
• Electromagnetic Sensors
• +۳ مورد دیگر

María del Pilar Jarabo Amores is a Full Professor at the Department of Signal Theory and Communications, University of Alcalá. Her research focuses on passive radar systems, sensor networks, and signal processing for defense and surveillance applications. She leads the AES3 research group (Acoustic and Electromagnetic Smart Sensor networks and Signal processing) and has expertise in radar detection, clutter modeling, and target tracking. Education: PhD in Telecommunications Engineering from the University of Alcalá (2005), supervised by Dr. Francisco López Ferreras. Research Interests: Development of passive radar technologies using DVB-T/S signals, motion compensation algorithms, and AI-driven detection methods. Key application areas include drone surveillance, maritime monitoring, and urban traffic imaging. Her work emphasizes robust detection in cluttered environments and distributed sensor network architectures. Key Contributions: Pioneered motion compensation techniques for passive radar systems, designed smart antennas for improved coverage (e.g., Ku-band microwave video camera), and developed adaptive beamforming methods. Her group's IDEPAR demonstrator showcases passive radar capabilities for terrestrial traffic monitoring. Labs/Teams: Leads the AES3 group, collaborating on EU-funded projects involving SAR imagery analysis and oil spill detection. Active in developing sensor networks for critical infrastructure protection.

• Passive Radar Technology
• Signal Processing
• Electromagnetic Sensors
• +۳ مورد دیگر

David Anastasio de la Mata Moya is a Professor in the Department of Signal Theory and Communications at the University of Alcalá. His research focuses on advanced radar systems, including passive radar technology, signal processing for surveillance applications, and sensor network integration. He holds a PhD from the University of Alcalá (2012) with a thesis on robust radar detector design. Key research areas include: passive radar detection for drones and maritime targets, SAR imaging, machine learning-based detection algorithms, and antenna design for sensor networks. His work emphasizes practical implementations in coastal surveillance, urban traffic monitoring, and environmental monitoring. Recent publications highlight advancements in decentralized radar detection, long integration time processing for low-reflectivity targets, and clutter modeling techniques. His projects often involve collaboration with industry partners to deploy real-world systems like the IDEPAR demonstrator for terrestrial traffic monitoring. Active in the AES3 research group (Acoustic and Electromagnetic Smart Sensor networks), he explores integration of multi-modal sensors for intelligent surveillance systems. His technical contributions span antenna optimization, CFAR detector development, and Doppler processing techniques.

• Microwave Imaging
• Biomedical Engineering
• Computational Electromagnetics
• +۷ مورد دیگر

Moein Movafagh is an Hourly Paid Lecturer in the Department of Electrical and Electronic Engineering at the University of Bradford, Faculty of Engineering and Informatics. He completed his PhD in Electrical and Electronic Engineering in 2023 and continues to contribute actively to research in microwave imaging and biomedical signal processing. His research focuses on the integration of electromagnetic principles—particularly Huygens’ Principle—and advanced computational methods such as the Finite-Difference Time-Domain (FDTD) technique, combined with deep learning, to develop non-invasive stroke detection systems. His work lies at the intersection of electrical engineering, medical diagnostics, and artificial intelligence. The recent publications highlight a strong trend toward radar-based brain imaging, leveraging synthetic aperture radar (SAR) and FMCW technologies enhanced by neural networks for accurate classification of strokes. These efforts aim to provide low-cost, portable, and rapid diagnostic tools for emergency healthcare settings. Contributor to UN Sustainable Development Goals (specific goals not listed) Movafagh has co-authored multiple peer-reviewed articles and conference papers, primarily in collaboration with researchers including M. Ghavami, G. Tiberi, and S. Dudley-McEvoy. While no formal advising or grant information is available, his active publication record suggests ongoing research engagement. His work is associated with the Bioscience and Bioengineering Research Centre at the university.

Daria Kluverمشاهده پروفایل

استاد

• Climatology
• Snowfall
• Seasonal Prediction
• +۵ مورد دیگر

Daria Kluver is a Professor in the Department of Earth and Atmospheric Sciences at the University of Houston, within the College of Science and Engineering. Her work bridges climate science, hydrology, and geoscience education, with a strong focus on snowfall dynamics and regional climate modeling. Education: Ph.D. in Climatology, University of Delaware, 2011 M.S. in Geography, University of Delaware, 2007 B.S. in Meteorology, Saint Cloud State University, 2003 Her research centers on climatological processes, particularly snowfall patterns, seasonal climate prediction, and the influence of large-scale atmospheric systems on regional climate. She employs spatial data analysis and climate datasets to understand hydroclimatic variability across North America. Her work spans observational climatology, dataset development, and climate education innovations. The recent publications reflect a consistent trajectory in climate science, with emphasis on snowfall modeling, climate projections, and interdisciplinary applications involving hydrology and education. Her articles span journals in climatology, atmospheric technology, and geoscience pedagogy, indicating a well-rounded research program that integrates science and teaching. Scientific Awards: No awards listed in the provided text. Daria Kluver has not advised any students listed in the available data. There is no mention of grants, laboratories, or research teams in the provided information. Her scholarly contributions are primarily evident through her publications and curriculum development in climate science education.

• Remote Sensing
• Geoinformatics
• Environmental Monitoring
• +۳ مورد دیگر

Prof. Katharina Anders holds the Professorship for Remote Sensing Applications at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. Her research focuses on methodological advancements in remote sensing data analysis, particularly for observing Earth surface dynamics in contexts like natural hazards, climate change, and human-environment interactions. She earned her PhD in Geoinformatics from Heidelberg University, with a research stay at TU Delft. Key contributions include 4D observation techniques for geo-environmental monitoring and automated change detection systems using LiDAR and photogrammetry. Education: Studied Geography, Computer Science, and Environmental Physics at Heidelberg University Doctorate in Geoinformatics (cum laude) from Heidelberg University Research stay at TU Delft Research interests emphasize cross-scale analysis of landscape dynamics, with a focus on integrating high-resolution 3D/4D time series and machine learning for environmental monitoring. Her work bridges remote sensing, geoinformatics, and environmental science, addressing challenges like coastal erosion, permafrost thaw, and infrastructure safety. Her award-winning papers and projects include advancements in LiDAR-based change detection, fusion of multisource data, and open educational resources like the E-TRAINEE platform for time series analysis. Recent publications highlight innovations in 4D object segmentation, UAV photogrammetry, and snow cover dynamics tracking. Notable awards include the Baden-Württemberg Foundation Fellowship (2022) and the ISPRS Geospatial Week Best Paper Award (2019). Her research has been applied to diverse case studies, from Arctic permafrost monitoring to Tyrolean rockfall prevention.

Mazin Saberمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Agricultural Water Management
• Evapotranspiration Modeling
• +۳ مورد دیگر

Mazin Saber holds the position of Postdoctoral Research Associate at the Sanchez Lab, Yuma Agricultural Center, affiliated with the University of Arizona. His work focuses on applying remote sensing and satellite technologies to improve agricultural water management, particularly in arid environments like Yuma, Arizona. He specializes in evapotranspiration modeling, irrigation scheduling, and crop water stress indices using multisource satellite data (Sentinel, Planet, ECOSTRESS) and ground-based measurements like eddy covariance systems. Research interests include precision agriculture, water resource optimization in desert farming, and development of decision support tools for crop water management. His work integrates remote sensing with hydrological modeling to address challenges in irrigated agriculture, including real-time irrigation detection, energy balance models for crop monitoring, and validation of FAO-56 methodologies in arid zones. Recent studies highlight advancements in crop water stress indices, fusion of radar and optical satellite data, and application of machine learning techniques for precision irrigation. His research has been applied across multiple crops including lettuce, durum wheat, and winter vegetables, with a focus on the Lower Colorado River Basin and Yuma agricultural regions. While no formal awards are listed, his contributions have advanced remote sensing applications in arid agriculture. Currently involved in the Sanchez Lab's projects at the Yuma Agricultural Center, focusing on automation of water management practices and development of scalable solutions for desert farming systems.

• Wireless Communication Systems
• MIMO Channel Modeling
• Radio Propagation
• +۴ مورد دیگر

Torbjörn Ekman is a Professor at the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU). Holding a Master of Science in Engineering Physics from Uppsala University, he also earned a Licentiate and PhD in Signal Processing from the same institution. His research focuses on wireless communication systems, MIMO channel modeling, and satellite-based radio interference analysis. Research interests include: Radio propagation over maritime environments Massive MIMO channel statistics Wireless sensor array modeling Underwater and cognitive radio networks Automotive radar signal processing Satellite communication payload design Publication trends show consistent contributions to IEEE journals and conferences, particularly in wireless channel modeling, signal processing algorithms, and satellite communication systems. Recent works focus on maritime radio fading, multi-cluster sensor arrays, and orbital interference measurement.

• Computer Science
• Machine Learning
• Internet of Things (IoT)
• +۴ مورد دیگر

Praveer Towakel is a Researcher at Middlesex University Mauritius Campus , specializing in interdisciplinary projects at the intersection of computer science, IoT, and environmental systems. His work focuses on sensor fusion, augmented reality, and cyber-physical infrastructure. Role: Researcher Email: P.Towakel@mdx.ac.uk Research Interests: Towakel's publications highlight expertise in: Gesture recognition using multimodal sensor fusion Digital twins and their enabling technologies Cyber-physical systems security IoT-based energy disaggregation Environmental monitoring frameworks Publications Trends: Recent work emphasizes integrating radar/optical data with attention mechanisms, advancing digital twin architectures, and deploying IoT for sustainability in island ecosystems. His projects often incorporate augmented reality and edge computing. Labs & Collaborations: Collaborates with multidisciplinary teams on cyber-physical systems, contributing to IEEE Transactions on Instrumentation and Measurement, IEEE Communications Surveys and Tutorials, and international conferences in Mauritius.

• Ground Penetrating Radar
• Civil Engineering
• Structural Health Monitoring
• +۷ مورد دیگر

Amir Alani is a Professor at the University of West London with extensive expertise in Ground Penetrating Radar (GPR) applications for infrastructure and environmental monitoring. His research spans civil engineering, geophysics, and remote sensing, with particular focus on non-destructive testing methodologies for structural health assessment. His research interests center on Ground Penetrating Radar applications across multiple domains including structural health monitoring of bridges and tunnels, tree root mapping and assessment, airport pavement inspection, and flood forecasting systems. Dr. Alani has pioneered innovative approaches using polarimetric GPR systems for tree trunk inspection and developed enhanced data processing frameworks for mapping tree root systems in urban environments. His work integrates GPR with other technologies like InSAR (Interferometric Synthetic Aperture Radar) for comprehensive infrastructure monitoring. Analysis of Dr. Alani's recent publications reveals a strong trend toward integrating multiple sensing technologies for infrastructure monitoring, with significant work on applying GPR to environmental challenges like tree health assessment and urban flood management. His research demonstrates a consistent focus on practical applications of geophysical methods to solve real-world engineering problems, particularly in urban infrastructure contexts. Dr. Alani has been actively involved in advising PhD students and securing research grants, though specific details of these activities are not fully documented in the available publications. His research group appears to collaborate extensively with international partners across Europe. His laboratory work focuses on GPR technology development and application, with particular emphasis on tree root mapping systems and infrastructure health monitoring. The research team has developed specialized processing frameworks for GPR data analysis, including geostatistical approaches and deep learning techniques for root detection.

• Intelligent Transportation Systems
• Autonomous Vehicles
• Sensor Calibration
• +۷ مورد دیگر

Faizan Mir is a Researcher II-Computational Science at the National Renewable Energy Laboratory (NREL) , affiliated with the Center for Integrated Mobility Sciences and the Transportation and Mobility Research Topic . His work focuses on computational science applications in transportation systems, particularly intelligent transportation and autonomous vehicles. Research Interests : Intelligent Transportation Systems (ITS) Sensor Calibration and Fusion GNSS Integration for Mobility Spatiotemporal Data Analysis Digital Twin Technology Transportation Safety Engineering Article Trends : His publications emphasize sensor fusion techniques (Lidar, Radar, Camera) for infrastructure-based perception in autonomous vehicles, GNSS-assisted calibration, and adaptive traffic management systems. The work spans safety-critical LED signaling, multisensor data integration, and cooperative perception frameworks.

• High-Frequency Technology
• Microwave Technology
• Fundamentals of Electrical Engineering

Prof. Dr.-Ing. Stefan Bartels-von Mensenkampff is a Professor at Lübeck University of Applied Sciences in the Department of Electrical Engineering and Computer Science. His areas of expertise include high-frequency technology, microwave technology, and fundamentals of electrical engineering. He serves as Employer representative in matters relating to severely disabled people within the university administration. Education Studium der Elektrotechnik (Electrical Engineering), 1977–1984 Professional History 1993 – Present: Professor, Lübeck University of Applied Sciences 1991–1993: Grundlagenentwicklung Mobile Kommunikation (Mobile Communications Basic Development), Blaupunkt-Werke 1984–1991: Entwicklung Radarsysteme (Radar Systems Development), Telefunken Systemtechnik Research Focus His academic work centers on electrical engineering fundamentals, with specialized contributions to high-frequency and microwave technologies. These disciplines underpin advancements in communication systems and radar engineering, reflecting both theoretical and applied dimensions of his professional experience.