جستجوی استاد راهنمای دانشگاهی

Penina Axelradمشاهده پروفایل

استاد

• Astrodynamics
• Satellite Navigation
• Global Navigation Satellite Systems (GNSS)
• +۵ مورد دیگر

Dr. Penina Axelrad is a University of Colorado Distinguished Professor and Joseph T. Negler Professor of Aerospace Engineering Sciences at the University of Colorado Boulder. She has held academic roles since 1992, serving as Department Chair from 2012–2017. A member of the National Academy of Engineering since 2019, her research focuses on GNSS technology, satellite navigation, and remote sensing applications. She has authored over 223 publications and secured $17.5M in research grants. Education: Ph.D., Aeronautics and Astronautics, Stanford University, 1991 S.M., Aeronautical and Astronautical Engineering, MIT, 1986 S.B., Aeronautical Engineering (Avionics Option), MIT, 1985 Research Interests: Global Navigation Satellite Systems (GNSS), multipath mitigation, GNSS reflectometry, orbital dynamics, and quantum sensing for Earth science. Her work bridges astrodynamics, satellite navigation, and environmental monitoring. Awards: Member, National Academy of Engineering (2019) Women In Aerospace Educator Award (2016) Institute of Navigation Samuel Burka Award (2012) AIAA Summerfield Book Award (2011) Advising & Grants: Advised numerous students (no names listed) and led major grants including NASA Quantum Pathways Institute and Sentinel-6 orbit determination projects. Active in Institute of Navigation leadership roles. Labs/Teams: Colorado Center for Astrodynamics Research (CCAR), Quantum Pathways Institute, and collaborative efforts on CubeSat atomic clock experiments.

Weimin Huangمشاهده پروفایل

استاد

• Radar Remote Sensing
• Ocean Remote Sensing
• GNSS Reflectometry
• +۳ مورد دیگر

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.

Jihye Parkمشاهده پروفایل

دانشیار

• Remote Sensing
• Geodesy
• Geophysics
• +۳ مورد دیگر

Jihye Park is an Associate Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. She specializes in GNSS (Global Navigation Satellite System) positioning/navigation and remote sensing applications, focusing on enhancing system performance in harsh environments and leveraging GNSS for atmospheric monitoring. Her research includes detecting ionospheric disturbances caused by earthquakes, volcanic eruptions, and artificial explosions, as well as developing algorithms for real-time anomaly detection and navigation system improvements. Dr. Park holds a Ph.D. in Geodetic Science and Surveying from The Ohio State University (2012), an M.S. in Geodetic Science and Surveying from the same institution (2010), and prior degrees in Geoinformatics from The University of Seoul (B.S. 2004, M.S. 2006). Her research interests span GNSS remote sensing applications such as monitoring ionospheric anomalies, hurricane-induced rainfall trajectories, and coastal hazards. She also explores GNSS-Reflectometry (GNSS-R) for sea level changes, storm surge monitoring, and climate-related phenomena. Her work emphasizes real-time data processing, machine learning integration, and interdisciplinary applications in disaster response and geophysical monitoring. Dr. Park has contributed to advancements in GNSS accuracy through projects like JPL's GUARDIAN system and studies on the Galileo High Accuracy Service. Her recent work highlights automated detection systems and deep learning approaches for TID (Traveling Ionospheric Disturbance) identification, reflecting her commitment to bridging geomatics with environmental and disaster resilience challenges.

Patrizia Saviمشاهده پروفایل

دانشیار

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +۳ مورد دیگر

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 Circuits
• Antenna Array Design
• +۳ مورد دیگر

Raul Onrubia is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Passive Remote Sensing Group. He holds a PhD in GNSS-Reflectometry (2020) and specializes in radio frequency interference (RFI) mitigation, antenna array calibration, and microwave radiometry. His work focuses on advancing passive Earth observation technologies, particularly with the SMOS satellite mission and the Microwave Interferometric Reflectometer (MIR). Education: BSc+5 in Telecommunications Engineering (2012), MSc+2 in Information and Communication Technologies (2014), both from UPC. His PhD research addressed RF hardware design for GNSS-Reflectometry instruments. He has contributed to airborne and spaceborne experiments, including the 3CAT-3/MOTS nanosatellite and the GEROS-ISS ocean altimetry project. Research interests include RFI detection in microwave radiometry, dual-frequency GNSS-R applications (e.g., soil moisture, vegetation height), and instrument development for future space missions. He collaborates with institutions like NASA and the European Space Agency, and his work integrates signal processing, antenna design, and environmental data analysis. Publications highlight innovations in RFI mitigation algorithms, interferometric techniques, and the retrieval of geophysical parameters from reflected GNSS signals. His contributions are critical for improving the accuracy of Earth observation systems amid growing RFI challenges.

• Remote Sensing
• Microwave Remote Sensing
• GNSS-Reflectometry
• +۵ مورد دیگر

Hyuk Park is an Assistant Professor at Universitat Politècnica de Catalunya (UPC-BarcelonaTech), affiliated with the Castelldefels School of Telecommunications and Aerospace Engineering. His research focuses on remote sensing, particularly passive microwave remote sensing, system design, modeling, and geophysical data analysis. He holds a B.S. in Mechanical Engineering from KAIST (2001) and M.S./Ph.D. in Information and Mechatronics from GIST (2003/2009). Notable grants include a Korean NRF Grant (2011) and a Juan de la Cierva Grant (Spain). He currently leads the RSLab and CommSensLab, exploring applications like GNSS-Reflectometry (GNSS-R) for soil moisture, ionospheric scintillation, and disaster monitoring. His work integrates satellite data from missions like CYGNSS, FY-3E, and FSSCat to advance environmental monitoring. Recent studies include correlating ionospheric anomalies with earthquakes, improving flood water level estimation, and developing AI-driven agriculture systems. Awards include the Ramon y Cajal Fellowship, highlighting his contributions to sensor technology and Earth observation. Key projects involve instrument design (e.g., FMPL-2 dual payload), algorithm optimization for hyperspectral imaging, and mitigating radio-frequency interference. His research bridges theoretical modeling with practical applications in climate science, geophysics, and disaster response.

Ali Gurbuzمشاهده پروفایل

استادیار

• Machine Learning
• Signal Processing
• Remote Sensing
• +۵ مورد دیگر

Ali Gurbuz is an Assistant Professor in the Department of Electrical and Computer Engineering at Mississippi State University's College of Engineering, specializing in smart sensing systems and machine learning applications. His research integrates signal processing with autonomous systems for environmental monitoring and medical imaging. His educational background includes a Bachelor's degree from Bilkent University (Turkey), and Master's/Doctoral degrees in Electrical and Computer Engineering from Georgia Institute of Technology. Since joining MSU in 2018 after a position at the University of Alabama, he has established himself as a leading researcher in sensing technologies. Gurbuz's research focuses on developing intelligent front-end sensing systems that optimize data acquisition using machine learning, addressing critical bottlenecks in processing capabilities for applications ranging from autonomous vehicles to precision agriculture. His work emphasizes efficient data collection through radar, lidar, and camera systems, with particular attention to soil moisture estimation and medical imaging applications. His publication portfolio demonstrates strong trends in UAS-based remote sensing, RF interference mitigation, and deep learning for signal processing. Key research areas include GNSS reflectometry for soil moisture mapping, radar-based sign language recognition, and seafloor gas seep detection using sonar data. NSF CAREER Award recipient (2021) for $500,000 to advance smart sensing systems research Gurbuz co-directs the Information Processing and Sensing (IMPRESS) research group at MSU, collaborating extensively with the Center for Advanced Vehicular Systems and Geosystems Research Institute. His work bridges theoretical signal processing with practical implementations in agricultural monitoring, environmental sensing, and medical applications, with several projects demonstrating hardware-software co-design approaches for next-generation sensing systems.

• Space Geodesy
• Earth Rotation
• Global Reference Frames
• +۴ مورد دیگر

Rüdiger Haas is Professor for Space Geodesy at the Department of Space Geodesy and Geodynamics at Chalmers University of Technology. He leads geodetic VLBI activities at the Onsala Space Observatory, focusing on Earth rotation, global reference frames, atmospheric water vapour, and sea level measurements. He serves as Scientific Leader of the Onsala Twin Telescope Project, Chair of the European VLBI Group for Geodesy and Astrometry (EVGA), and board member of the International VLBI Service for Geodesy and Astrometry (IVS). His research explores: Advanced VLBI techniques for geodetic precision Global reference frame establishment and stability analysis Tropospheric modeling using co-located instrumentation GNSS reflectometry for sea-level monitoring Satellite geodesy for Earth observation Radio telescope performance and calibration methodologies Recent publications (2023-2025) predominantly advance VLBI technology through VGOS (VLBI Global Observing System), with innovations in tropospheric error modeling, telescope metrology, satellite geodesy applications, and sea-level monitoring techniques using GNSS reflectometry. Over 85% of his recent work involves VLBI optimization or GNSS-R applications.

• Signal Processing
• Synthetic Aperture Radar (SAR)
• GNSS Reflectometry (GNSS-R)
• +۴ مورد دیگر

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.

Pia Addabboمشاهده پروفایل

مدرس

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

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.

Carmela Galdiمشاهده پروفایل

دانشیار

• Telecommunications
• Remote Sensing
• Radar Systems
• +۳ مورد دیگر

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

Thomas Hobigerمشاهده پروفایل

استاد

• Satellite Navigation
• Inertial Navigation
• Sensor Fusion
• +۷ مورد دیگر

Thomas Hobiger is a Professor and Head of the Institute of Navigation at the University of Stuttgart, Germany, and serves as Dean of Studies for Geodesy and Geoinformatics under Faculty 6: Aerospace Engineering and Geodesy. His research focuses on satellite navigation, inertial navigation systems, sensor fusion, and geodetic applications such as precise orbit determination and GNSS meteorology. He leads a team developing high-precision positioning solutions for autonomous vehicles and airspace surveillance systems. Hobiger holds a PhD from Vienna University of Technology (2005) and has held tenured positions at institutions including Chalmers University of Technology (Sweden) and Japan’s National Institute of Information and Communications Technology (NICT). Notable awards include the AGU Geodesy Section Award (2018) and the NVIDIA Global Impact Award (2016 finalist). He is actively involved in editorial roles for journals like Journal of Geodesy and holds leadership positions in international geodetic organizations. Research interests span navigation hardware/software development, real-time kinematic positioning, and interdisciplinary projects combining GNSS with meteorology and oceanography. His work emphasizes practical applications through collaborations with industry and space agencies, such as JAXA and ESA.

Cynthia Gerlein-Safdiمشاهده پروفایل

استادیار

• Ecohydrology
• Remote Sensing
• Satellite Experiments
• +۷ مورد دیگر

Cynthia Gerlein-Safdi is an Assistant Professor of Civil and Environmental Engineering at UC Berkeley and a Faculty Scientist at Lawrence Berkeley National Laboratory (LBNL) in the Climate & Ecosystem Sciences Division. Her research integrates ecohydrology , remote sensing , and stable isotope analysis to study water-carbon interactions across ecosystems. She previously held a postdoctoral fellowship at the Michigan Society of Fellows (2017–2020) and worked at LBNL as a Project Scientist (2020–2022). Education : B.Sc., Earth and Planetary Sciences, University of Strasbourg (2009) M.Sc., Environmental Engineering, University of Strasbourg (2011) M.Eng., Geophysics, EOST (2012) Ph.D., Civil and Environmental Engineering, Princeton University (2017) Research Interests focus on the soil-plant-atmosphere continuum , combining process-based modeling , field experiments , and satellite data to address climate change impacts on water-carbon relations. Key projects include studying dew/fog interception , soil moisture effects on plant physiology , and tropical wetland methane emissions . Article Trends reveal expertise in microwave remote sensing (CYGNSS), solar-induced fluorescence (SIF) , and stable isotope applications to ecohydrology. Her work spans tropical wetlands , grasslands , and polar ecosystems , with methodological advances in data processing algorithms and field instrumentation . Scientific Awards : Society of Hellman Fellows Fund Award (2024) Michigan Society of Fellows (2017–2020) Labs & Teams : Leads the Water & Carbon Lab at UC Berkeley, collaborating with LBNL’s Watershed Function SFA and Terrestrial Ecosystem Science SFA teams. The lab employs remote sensing (GNSS-R, microwaves, SIF) , stable isotope experiments , and field measurements to address water-carbon dynamics.

Adriano Jose Carmonaمشاهده پروفایل

استاد

• Microwave Remote Sensing
• GNSS-R
• Radio Frequency Interference Detection
• +۴ مورد دیگر

Adriano Jose Carmona serves as Full Professor at Universitat Politècnica de Catalunya (UPC-BarcelonaTech) within the Department of Signal Theory and Communications, College of Telecommunications Engineering. He holds dual affiliations with the Remote Sensing Lab (RSLAB) and NanoSat Lab, while also maintaining a visiting professorship at UAE University since 2022. His research spans microwave remote sensing , GNSS-reflectometry , RF interference mitigation , and nanosatellite development . Notable projects include the 3Cat series of CubeSats (3Cat-1 through FSSCAT), with FSSCAT producing the first scientific-quality Arctic soil moisture and sea ice maps using CubeSat technology. His work integrates signal processing innovations with practical Earth observation applications. Analysis of his 15 most recent publications reveals dominant trends in High-resolution soil moisture mapping using neural networks Earthquake precursor detection through multi-sensor thermal anomalies Advanced RFI mitigation techniques for radiometers CubeSat constellation architectures for 6G networks Wildfire burned area prediction using causal models Honors include IEEE Fellow (2011), ICREA Academia Award (2009, 2015), and the IEEE GRSS Education Award (2021), alongside multiple technology transfer prizes like the ESA Sentinel Small Satellite Challenge (2017). As research advisor, he has supervised 29 completed PhD theses (with 9 ongoing), producing professionals now at NASA/JPL, University of Michigan, and founders of startups BALAMIS and MITICS. His leadership extends to directing the CommSensLab Research Center (2016-2020) and serving as past President of the IEEE Geoscience and Remote Sensing Society.

Lily Qiaoمشاهده پروفایل

مدرس ارشد

• Space Systems Engineering
• Autonomous Spacecraft Navigation
• GNSS and Celestial Navigation
• +۵ مورد دیگر

Lily Qiao is a Senior Lecturer in Space Systems Engineering at the School of Engineering and Technology , University of New South Wales (UNSW) Canberra . She holds a PhD in Guidance, Navigation, and Control (GNC) from Nanjing University of Aeronautics and Astronautics (2011) and has been affiliated with UNSW since 2011, progressing from Research Associate to her current role. Her teaching includes postgraduate courses on Space Systems Design (ZEIT8008) and Global Navigation Satellite Systems (GNSS) (ZEIT8009), and undergraduate Radar Technology and Application (ZEIT4227). PhD in Guidance, Navigation, and Control (NUAA, 2011) Study exchange at UNSW Sydney Certificate of Completion with Merit (Graduate Teaching Training Program, UNSW Canberra, 2015) Foundations of University Learning and Teaching (FULT) Program (2019) National Mental Health First Aid Certificate (2019–2021) UNSW Course Design Institute (2023) Her research focuses on space systems engineering and the application of AI/CI-based methods to aerospace challenges, including autonomous spacecraft navigation (GNSS, celestial navigation), spacecraft attitude determination and control , Kalman filter technology , and cybersecurity for space systems . She has published over 50 peer-reviewed works and supervised six PhD students. Her recent publications highlight trends in cybersecurity for space systems, GNSS reflectometry for Earth observation, and modular design analysis for CubeSats. Notable awards include the UNSW Career Advancement Fund for Female Academics (2018–2020) and IEEE Senior Membership (2024) . Associate Editor, IEEE Transactions on Aerospace and Electronic Systems Chair, IEEE Australian Capital Territory (ACT) Section (2024) Founder and Chair, AESS Chapter in IEEE ACT Section (2022–2024) President, Women in Space Chapter (WiSC) , National Space Society of Australia Executive Committee, IEEE ACT Section (2020–2023) UNSW Canberra Representative, Women in Research Network (since 2021) She offers $35,000 AUD scholarships for PhD candidates with H1/High Distinction in undergraduate or Master’s programs. Current research supervision topics include AI Test and Evaluation , Real-Time Cybersecurity Platforms , and Dynamic Modular System Architectures .