جستجوی استاد راهنمای دانشگاهی

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.

• Earth remote sensing
• Global Navigation Satellite Systems (GNSS)
• Bistatic radar
• +۷ مورد دیگر

James L. Garrison is a Professor in the Department of Aeronautics and Astronautics at Purdue University, with a courtesy appointment in Electrical and Computer Engineering. He is a University Faculty Scholar (2022-2027) and leads the Radio Navigation Lab. His research focuses on Earth remote sensing using GNSS and Signals of Opportunity (SoOp), including oceanography, soil moisture, snow/ice properties, and ionospheric studies. He contributed to NASA's CYGNSS mission, which uses GNSS reflections to monitor tropical storms. Education: PhD (University of Colorado Boulder, 1997), MS (Stanford University, 1990), BS (Rensselaer Polytechnic Institute, 1988). Research Interests: Development of novel instruments and algorithms for remote sensing, including bistatic radar, GNSS reflectometry, and ionospheric probing. Applications span agriculture, hydrology, and disaster monitoring. His work bridges space-based systems with terrestrial environmental science. Awards: National Academies Keck Futures Initiative (2012) Institute of Navigation Early Achievement Award (2002) NASA Exceptional Space Act Award (2000) Advising & Grants: Led the NASA Instrument Incubator Program (IIP) grant for airborne soil moisture sensing. Collaborates with JPL on snow/ice sensing and Scripps Institution on hurricane humidity profiling. Labs/Teams: Director of the Radio Navigation Lab, member of the Purdue Climate Change Research Center (PCCRC) executive committee, and faculty affiliate of the Ecological Sciences and Engineering (ESE) program.

Mercè Vall-llosseraمشاهده پروفایل

دانشیار

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

Mercè Vall-llossera is an Associate Professor at the Polytechnic University of Catalonia (UPC), specifically in the Department of Signal Theory and Communications since 1997. She holds a Telecommunication Engineering degree (1990) and a Doctorate in Telecommunication Engineering (1994) from UPC. Her career includes a sabbatical at Concordia University (Montreal, 1996–97), where she applied FDTD methods to study mobile telephone effects on human bodies. Her research focuses on remote sensing, initially in electromagnetics and antenna design, later transitioning to geophysical parameter retrieval (soil moisture/ocean salinity) and satellite data applications. She contributed significantly to the ESA's Soil Moisture and Ocean Salinity (SMOS) mission, launched in 2009. Current work emphasizes environmental monitoring using satellite data for drought/flood prediction, crop yield analysis, forest fire detection, and Arctic ice clustering to address climate change impacts. Her technical expertise spans microwave radiometry, data fusion techniques, and algorithm development for high-resolution mapping. She collaborates on projects like the Remote Sensing Laboratory's SMOS validation efforts and CubeSat technology (UPCSAT-1). Her contributions bridge theoretical electromagnetics with applied environmental science, emphasizing interdisciplinary solutions for global environmental challenges.

Fangni Leiمشاهده پروفایل

استاد پژوهش

• Hydrologic Modeling
• Remote Sensing Applications
• Soil Moisture Monitoring
• +۳ مورد دیگر

Fangni Lei is an Assistant Research Professor in the Department of Civil and Environmental Engineering at the University of Connecticut (UConn). She holds a Ph.D. from Wuhan University (2016). Her research focuses on watershed-scale hydrologic modeling, microwave remote sensing of soil moisture, land surface water and energy balance modeling, and agricultural water management with remote sensing applications. Dr. Lei’s work bridges theoretical advancements with practical applications in environmental monitoring and climate science. Her research interests include integrating remote sensing technologies like CYGNSS and SMAP data to enhance soil moisture monitoring, improving hydrological models through data assimilation, and advancing precision agriculture practices using satellite-derived insights. Recent efforts emphasize machine learning applications in environmental data analysis, flood inundation mapping, and climate change impacts on ecosystems. Key contributions include developing blended soil moisture products, assessing vineyard water use via data assimilation systems, and evaluating global soil moisture estimates using multi-source satellite data. Dr. Lei collaborates with institutions like the Connecticut Manufacturing Simulation Center and the Connecticut Transportation Institute, contributing to interdisciplinary environmental research initiatives.

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.

Andrew Dempsterمشاهده پروفایل

استاد

• GNSS Signal Processing
• Satellite Navigation
• Space Engineering
• +۲ مورد دیگر

Professor Andrew Dempster is Director of the Australian Centre for Space Engineering Research (ACSER) and Professor in the School of Electrical Engineering and Telecommunications at UNSW Sydney. His research focuses on satellite navigation technologies and space resource utilization. Research areas include: Advanced GNSS receiver design and signal processing Lunar and deep-space navigation systems GNSS reflectometry for Earth observation Commercial viability of space resource extraction Professor Dempster leads projects on lunar navigation, small satellite technologies, and develops new methods for space-based positioning and resource characterization.

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.

• Signal Processing
• Biomedical Engineering
• Image Processing
• +۳ مورد دیگر

Prof. Dr. Mustafa Ersel Kamaşak is a Professor at the Department of Computer Engineering , Istanbul Technical University . His academic journey includes a PhD in Electrical and Computer Engineering from Purdue University and a MA in Electrical and Electronic Engineering from Bogazici University . His research interests span Signal Processing , Biomedical Engineering , Image Processing , Machine Learning , and Total Variation Regularization , with a focus on applications in Medical Imaging , Geospatial Analysis , and Logistics Optimization . His recent work includes 2024 studies on barcode detection and mandibular morphology analysis , 2023 research on Antarctic sea level monitoring , and 2022 projects on fluorescence microscopy restoration . Notable projects led by him include Automatic Detection and Transfer of Document Types (TTO, 2021), Telehealth Equipment Development (TTO, 2019-2021), and Directional Total Variation Model (TUBITAK, 2016-2017). His work has been cited 18 times (Scopus h-index: 22).

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 .

Jin Shuanggenمشاهده پروفایل

استاد

• Remote Sensing
• Planetary Science
• Space Geodesy
• +۴ مورد دیگر

Jin Shuanggen is a Professor at the Shanghai Astronomical Observatory, Chinese Academy of Sciences (since 2010) and concurrently serves as Vice-President of Henan Polytechnic University (since 2022). He holds a B.Sc. in Geodesy from Wuhan University (1999) and a Ph.D. in Geodesy from the University of Chinese Academy of Sciences (2003). His career includes roles as Dean at Nanjing University of Information Science and Technology (2018–2022), Visiting Fellow at the University of New South Wales (2004–2005), and Professor at Bulent Ecevit University, Turkey (2014–2018). Jin's research focuses on Satellite Navigation, Space Geodesy, Remote Sensing, and Planetary Science. He has published over 500 papers (including 300+ peer-reviewed SCI articles), with 15,000+ citations and an H-index of 65 (Google Scholar). His work addresses Earth system variations, ionospheric seismology, climate change, and planetary exploration. Key projects include studies on GNSS reflected signals, seismic-ionospheric disturbances, and glacial dynamics. Education: B.Sc., Geodesy, Wuhan University, 1999 Ph.D., Geodesy, University of Chinese Academy of Sciences, 2003 His awards include Fellowships from the Asia-Pacific Artificial Intelligence Association (2024), African Academy of Sciences (2022), and IUGG (2019). He led initiatives like the National First-Class Course 'GNSS Meteorology' (2023) and is a Principal Investigator for 30+ international projects funded by agencies like ESA, NSFC, and China-Germany collaborations. Jin chairs major international bodies, including Asia Oceania Geosciences Society’s Planetary Sciences division (2018–2020) and serves as Editor-in-Chief of the International Journal of Geosciences . He is part of global teams such as the Henan Higher Education Huang Danian Teacher Team and has organized five international conferences.