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Professor Weimin Huang is a full Professor in the Faculty of Engineering and Applied Science at Memorial University of Newfoundland, where he has served since 2010 and became a full professor in 2019. He held the position of Department Deputy Head from 2020 to 2023. Education: BSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1995 MSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1997 PhD in Space Physics, Wuhan University, 2001 MEng in Electrical and Computer Engineering, Memorial University of Newfoundland, 2004 Postdoctoral Fellowship in Electrical and Computer Engineering, Memorial University of Newfoundland, 2007 Research Focus: Huang specializes in radar-based ocean remote sensing , with core expertise in high-frequency ground wave radar (HF radar) , GNSS Reflectometry , and synthetic aperture radar (SAR) . His work targets ocean surface parameter mapping including wind speed, oil spills, ship detection, and sea ice monitoring through advanced digital image processing and applied electromagnetics . Recent innovations integrate deep learning (CNNs, physics-informed models) with radar data for enhanced environmental monitoring. Publication Trends: His 2025 publications reveal a strong shift toward AI-driven solutions in remote sensing, with 5 high-impact papers in IEEE TGRS and Remote Sensing focusing on wind speed estimation (using GNSS-R and wavelet-CNN hybrids), oil spill mapping via SAR, ship detection with HF radar, and climate change analysis. These works demonstrate cross-disciplinary integration of machine learning with geophysical remote sensing. Scientific Awards: No awards were documented in the source material. Advising & Collaboration: With 358 co-authors including Bahram Salehi and Biyang Wen, Huang maintains a robust global research network. While specific student supervision isn't listed, his leadership role and publication volume indicate active graduate mentoring. The text mentions no grant details. Research Infrastructure: His work operates within Memorial University's engineering faculty, leveraging radar facilities for ocean sensing. Collaborations span institutions including Wuhan University and SUNY, suggesting participation in international radar remote sensing consortia focused on maritime applications.

• Radar Remote Sensing
• Ocean Remote Sensing
• GNSS Reflectometry
• +3 more

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +3 more

Maurizio Di Bisceglie is an Associate Professor at the Department of Engineering (DING) of Università degli Studi del Sannio, Italy. He is an expert in signal processing for remote sensing applications, particularly in GNSS Reflectometry (GNSS-R) and Synthetic Aperture Radar (SAR) systems. His research focuses on: Advanced CFAR detection algorithms for extended targets in non-Gaussian clutter GNSS-R data analysis for ocean wind speed , altimetry , and inland water monitoring Statistical modeling of sea surface scattering and clutter characteristics Development of noise reduction and image enhancement techniques in SAR interferograms Applications of multi-spectral satellite data for environmental monitoring His recent publications show a trend toward spaceborne GNSS-R applications for coastal and flood monitoring , with a strong emphasis on machine learning and stochastic modeling . Key journals include IEEE Transactions on Geoscience and Remote Sensing and IEEE International Geoscience and Remote Sensing Symposium proceedings. He teaches Numerical Signal Processing and Sensors for Earth Observation at the University of Sannio. His work has been published in IEEE and other leading technical journals, with collaborations across Italy and international institutions.

• Signal Processing
• Synthetic Aperture Radar (SAR)
• GNSS Reflectometry (GNSS-R)
• +4 more

Pia Addabbo is a Lecturer at the Department of Engineering , University of Sannio , with expertise in remote sensing and satellite data analysis. Her work focuses on GNSS reflectometry, wind speed estimation, and hyperspectral imaging applications. Department: Engineering Academic Rank: Lecturer Research Interests: Addabbo's research spans Remote Sensing , Geophysics , Environmental Monitoring , and Signal Processing . She has contributed to: GNSS reflectometry for ocean wind speed retrieval UAV systems in photovoltaic plant maintenance Phase altimetry techniques for surface height measurement Sparse learning algorithms in radar profiling Publication Trends (2015–2024): 15 articles highlight her focus on satellite-based environmental monitoring (CYGNSS, Sentinel-1), microwave reflectometry , and machine learning applications in remote sensing. Key collaborations include Silvia Ullo, Maurizio Di Bisceglie, and Carmela Galdi.

• Remote Sensing
• Geophysics
• Environmental Monitoring
• +3 more

Carmela Galdi is an Associate Professor at the Department of Engineering, University of Sannio, Italy. Her research focuses on telecommunications engineering, with a strong emphasis on remote sensing technologies, radar/satellite signal processing, and environmental monitoring applications. Key research areas include: Advanced CFAR detection techniques for radar systems GNSS-R (Global Navigation Satellite System Reflectometry) for land and ocean altimetry Wind speed retrieval algorithms using satellite data Speckle reduction in SAR (Synthetic Aperture Radar) imagery Multi-spectral thermal anomaly detection Development of MATISSE, a meteorological aviation support system Her publications span from 1996 to 2024, showing sustained expertise in radar signal processing, satellite communication systems, and environmental data analysis. While no formal scientific awards are documented in the provided materials, her collaborative work with institutions like CIRA (Italian Aerospace Research Centre) and multiple international projects indicates significant professional impact. Recent work includes comparative studies of CYGNSS and Sentinel-1 wind speed products for tropical cyclone monitoring, and the development of adaptive mobility systems for smart transportation. She has contributed to GNSS-R coherent signal focusing techniques to enhance spatial resolution, and has co-authored foundational studies on multidimensional signal detection in Gaussian clutter environments. Her research frequently intersects with: Climate science applications Digital communication systems Geospatial data analysis Environmental hazard detection Advanced mathematical modeling Signal processing for aviation safety

• Telecommunications
• Remote Sensing
• Radar Systems
• +3 more