Find Academic Supervisors

Ennio GambiView profile

Associate Professor

• Telecommunications
• Radar Systems
• IoT and Sensor Networks
• +3 more

Prof. Ennio Gambi is an Associate Professor at the Polytechnic University of Marche , affiliated with the Department of Information Engineering within the Faculty of Engineering. His research focuses on telecommunications, radar systems, biomedical engineering, and machine learning applications . He is actively involved in projects related to IoT sensor networks, drone surveillance, and contactless health monitoring. Prof. Gambi's academic contributions span physical layer authentication , radar-based physiological sensing , and automotive radar technology . He collaborates on initiatives such as the OPENCARE system for elderly care and has expertise in signal processing for biomedical applications. His office hours are held weekly at the Department of Information Engineering, and he maintains an active research profile through publications and projects. Key research areas include: Radar-based human activity monitoring Cybersecurity in UAV communications IoT-enabled healthcare systems Machine learning for sensor data analysis His work bridges telecommunications engineering with practical applications in healthcare, transportation, and environmental monitoring.

Volker SchwiegerView profile

Professor

• Geodesy
• Engineering Geodesy
• Integrative Computational Design and Construction
• +4 more

Volker Schwieger is a Professor at the Institute of Engineering Geodesy , affiliated with the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart . As a Principal Investigator in the Cluster of Excellence IntCDC, he focuses on integrating geodetic measurement technologies into computational design and construction workflows, with emphasis on robotic control, 3D scanning, and quality modeling. Key research areas: Geodesy, Computational Design, Robotics in Construction, Quality Assurance Notable projects: RP 16-1 (Robotic Assembly), RP 18-1 (Holistic Quality Model), AP 7 (Space-Time Point Cloud Modeling) Recent publications demonstrate his work in terrestrial laser scanning (TLS) for deformation analysis, point cloud processing algorithms, and holistic quality models for sustainable construction. He collaborates with institutions like Technical University of Munich and contributes to applications in bio-composites, timber structures, and climate-resilient urban planning. His methodological innovations include patch-based M3C2 analysis and supervoxel registration techniques. Despite extensive research output, no specific awards or educational background details are mentioned in the provided texts.

• Remote Sensing
• Space Geodesy
• Numerical Modeling
• +5 more

Simon Daout is an Associate Professor at the CRPG (Centre de Recherches Pétrographiques et Géochimiques) within Université de Lorraine, France. He specializes in measuring and modeling ground deformations associated with active faults and surface processes using space geodesy (InSAR, image correlation, GNSS) and numerical approaches. PhD, ISTerre, Université Grenoble-Alpes (2016) Master, Université Grenoble-Alpes (2013) Bachelor, Université de Nantes (2011) His research focuses on: Permafrost degradation on the Tibetan Plateau, quantified through InSAR to study climate change impacts. Landslide dynamics in Nepal using radar and optical image correlation to link slope instabilities to external forcings (rainfall, seismicity). Aseismic deformation contributions to tectonic uplift, integrating geodesy and numerical modeling. His publications (2016–2024) emphasize InSAR/image correlation for geohazard monitoring, tectonic kinematics, and permafrost/landslide dynamics. Tools like Flower2d and ASP-SAR are freely available on GitHub. He has advised doctoral students Hugo Watine (CRPG) and Léo Letellier (CRPG), and supervised Master’s student Florian Leder. Key grants include OTELO, INSU-PNTS, CNES doctoral funding, and ANR Franco-Luxembourg projects. Labs/teams: CRPG (UMR 7358 CNRS-UL), ISTerre, Oxford Earth Sciences, Kiel University.

Junle JiangView profile

Assistant Professor

• Computational Geophysics
• Crustal Dynamics
• Earthquake Physics
• +4 more

Junle Jiang is an Assistant Professor at the School of Geosciences , University of Oklahoma, specializing in computational geophysics and earthquake dynamics. His research bridges geodetic imaging (GNSS/InSAR), seismological observations, and computational modeling to study crustal deformation and geohazards. PhD , Geophysics (2016), California Institute of Technology PhD Minor , Computational Science and Engineering (2014), Caltech MS , Geophysics (2011), Caltech BS , Physics (2009), Peking University His research focuses on crustal dynamics , earthquake physics , and natural hazards , with methodologies spanning space geodesy , remote sensing , and uncertainty quantification . Current projects analyze fault zone mechanics, induced seismicity, and megathrust behavior using Bayesian inversion and multiscale modeling. Recent publications emphasize seismic-aseismic coupling (2023), 3D fault dynamics (2022), and tsunami source inversion (2016), with keywords in seismology, computational methods, and subduction zone physics. His work addresses seismic hazard assessment , geo-energy monitoring , and geodetic-seismic integration . PhD Students : Segun Steven Bodunde, Ganiyat Shodunke Postdocs : SeongJu Jeong, Xiong Zhao MS-PhD Students : Zhenyu Kang Former Students : Haoyu Li, Jose Viteri Lopez His research group investigates geothermal and tectonic deformation, combining field data with computational models. Current efforts focus on induced seismicity, megathrust rupture, and fault zone imaging using geodetic and seismic datasets.

• Geodesy
• Global Navigation Satellite Systems (GNSS)
• Earth Sciences
• +4 more

Szabolcs Rózsa is a Professor at the Department of General and Advanced Geodesy, Budapest University of Technology and Economics (BME), where he serves as Dean of the Faculty of Civil Engineering. His work focuses on GNSS technologies, geodynamics, and their applications in Earth sciences, autonomous systems, and meteorology. PhD in Earth Sciences (BME, 2003) Doctoral Habilitation (BME, 2015) MTA Doktora (Hungarian Academy of Sciences, 2023) Master of Business Administration (BME, 2004) Research Interests include GNSS-based atmospheric monitoring, tropospheric delay modeling, and positioning algorithms for autonomous vehicles. He leads projects like GeoSES (geo-process monitoring) and INTRO (troposphere model integrity) under ESA funding. Recent publications highlight advancements in GNSS meteorology, urban navigation algorithms, and structural health monitoring. His work spans geodetic networks, sensor fusion, and climate-related applications. Scientific Awards : Pro Scientia Gold Medal (1999, 1999) IAG Fellow (2007) Szádeczky-Kardoss Elemér Award (1999, 2012) TDK for Work, BME (2015) Minister’s Certificate of Appreciation (2019) Leadership Roles : President of the Hungarian National Committee of IUGG, IAG Representative in UN bodies, and Secretary of the Cosmic Geodesy Subcommittee (HASP). He contributes to editorial boards of Acta Geodaetica et Geophysica and Geodesy and Cartography .

• Geodynamic modeling
• Subduction zone thermal structure
• Observational seismology
• +4 more

Haipeng Luo is an Associate Professor at the Department of Earth and Space Sciences, Southern University of Science and Technology (SUSTech), since April 2024. He obtained his B.Sc. (2014) and MSc (2017) in Geodesy from Wuhan University, and PhD (2021) in Geodynamics from University of Victoria, Canada. Prior positions include Research Fellow at Earth Observatory of Singapore (2023.08-2024.04), Research Associate at University of Victoria (2023.01-2023.08), and Postdoctoral Researcher at McGill University (2022). Doctoral Supervisor at SUSTech National Overseas High-Level Young Talent awardee Research focuses on geodynamic modeling of subduction zones, including mantle rheology, earthquake deformation cycles, and tectonic implications of glacial melting. His work combines geodetic data analysis with numerical simulations to understand crustal deformation mechanisms. Recent publications in Science (2025), Nature Geoscience (2021), and Journal of Geophysical Research (2022) demonstrate his expertise in subduction zone mechanics and earthquake geodesy . Articles from 2016-2025 cover topics like coseismic slip determination, postseismic relaxation processes, and fluid-rich fault zone dynamics. Scientific Awards : 2023 National Overseas High-Level Young Talent (China) 2020 AGU OSPA awardee Professional service includes primary convener at 2022 AGU Fall Meeting and advisory member for AGU OSPA (2021). He has delivered invited presentations at EGU General Assemblies (2023, 2024) and AGU Fall Meeting (2021). Labs/Teams: Leads the SUSTech Earth and Space Sciences research group focused on subduction zone geodynamics and earthquake cycle modeling , actively recruiting PhD/MSc students and postdoctoral researchers.

Ian W DalzielView profile

Professor

• Global Tectonics
• Antarctic Geology
• Paleogeography
• +3 more

Ian W Dalziel is a Professor in the Department of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin, and a Senior Research Scientist at the Institute for Geophysics. He holds a Ph.D. and B.S. from the University of Edinburgh. His research focuses on global tectonics, Antarctic geology, and the reconstruction of ancient continental configurations, particularly the Texas Plateau hypothesis linking Laurentia to South America/Africa/Antarctica 1 billion years ago. His fieldwork in Antarctica and the Andes has contributed to understanding continental drift and supercontinent cycles. Key contributions include the 'Texas Through Time' paleogeographic model, Scotia Sea tectonic studies, and investigations into South Georgia microcontinent origins. He has served as president of the Geological Society of America’s International Division and received the Penrose Medal (2021). His work integrates geology, geophysics, and geodesy to address climate-related crustal dynamics, such as ice mass loss impacts in Antarctica observed via GPS and seismic data. Collaborations span international projects like the Polar Observing Network and Antarctic Seismic Array studies. Education: Ph.D. (University of Edinburgh), B.S. (University of Edinburgh) Awards: Penrose Medal (2021), Leadership roles in GSA and AGU Key Projects: Texas Plateau theory, Scotia Arc tectonics, Antarctic crustal deformation monitoring

Demián GómezView profile

Associate Professor

• Geodesy
• Geophysics
• Finite element modeling
• +3 more

Dr. Demián Gómez is an Associate Professor in the Division of Geodetic Science at the Ohio State University's School of Earth Sciences. His research focuses on regional and global reference frame realizations using geodetic techniques, with applications in studying geodynamic processes like earthquake cycles and glacial isostatic adjustment. He has held significant positions including Chief Geodesist at Argentina's National Geographic Institute and Chair of SIRGAS Working Group II. Education includes: Ph.D. in Earth Sciences (Geophysics), University of Memphis (2016) M.Sc. in Earth Sciences (Geophysics and Seismology), University of Memphis (2014) Surveying Engineering, Universidad de Buenos Aires (2011) His research explores the intersection of geodesy and geophysics, particularly through GNSS data processing (GAMIT/GLOBK) and ionospheric responses to geophysical events. Recent work examines earthquake deformation patterns, glacial mass balance in Patagonia, and ionospheric disturbances during solar eclipses. Publications demonstrate a consistent focus on advancing geodetic methodologies for crustal deformation monitoring, with recent emphasis on improving reference frame accessibility in seismically active regions and precision gravity measurements. Active grants include GEO-ESCON (2023-2025) for developing hybrid kinematic-dynamic trajectory models. Professional experience encompasses field campaigns across South America and Antarctica, management of geodetic networks, and development of processing clusters.

Jin ShuanggenView profile

Professor

• Remote Sensing
• Planetary Science
• Space Geodesy
• +4 more

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.

• Geomatics
• Photogrammetry
• Structural Monitoring
• +7 more

Alessandro Capra is a Full Professor at the University of Modena and Reggio Emilia's Department of Engineering 'Enzo Ferrari'. His research focuses on geomatics, photogrammetry, structural monitoring, and BIM/GIS applications. He leads courses in applied geomatics, BIM, and GIS for Civil and Environmental Engineering programs. Key research areas include coral reef monitoring via underwater photogrammetry, Antarctic geodynamics using GNSS networks, and cultural heritage preservation through 3D laser scanning. Capra's work integrates geodetic, remote sensing, and machine learning techniques to address environmental challenges and structural safety. Notable projects include coral bleaching impact analyses using AI, Antarctic crustal motion studies, and BIM modeling of historic structures like Modena's Cathedral and Ghirlandina Tower. His interdisciplinary approach bridges civil engineering, environmental science, and cultural heritage conservation. He has authored over 50 publications since 2010, with recent focus on marine bioconstructors, UAV-based quarry topography, and machine learning for crack detection. Teaching responsibilities include topography and advanced geomatics modules, emphasizing practical skills in BIM software and geospatial data analysis.

Yuning FuView profile

Associate Professor

• Geophysics
• Geodesy
• Crustal Deformation
• +1 more

Dr. Yuning Fu is an Associate Professor in the School of Earth, Environment and Society at Bowling Green State University (BGSU), where she has been a faculty member since 2015. Her research integrates geodesy and hydrology to study Earth's crustal deformation processes, with expertise in GNSS and satellite gravity data analysis for monitoring terrestrial water storage and seismic hazards. Education: Ph.D. in Geophysics, University of Alaska Fairbanks (2012) M.S. in Geophysics, Wuhan University (2007) B.S. in Geophysics, Wuhan University (2005) Research Focus: Dr. Fu's work centers on hydrogeodesy —using precise geodetic measurements to quantify how water mass redistribution deforms the Earth's crust and influences seismic activity. Her research spans: Seasonal hydrological loading effects on crustal deformation Terrestrial water storage variations from local to continental scales Hydrological modulation of earthquake cycles Integration of GNSS, GRACE, and hydrological models Climate-driven solid Earth deformation Publication Trends: Her 15 most recent publications (2017-2024) reveal a consistent focus on geodetic monitoring of water-induced crustal deformation across diverse environments—from the Great Lakes and Lake Erie to Taiwan, Japan, and Alaska. Key themes include seasonal seismicity modulation, drought impacts on crustal stress, and innovative applications of GPS for tracking extreme hydrological events like Hurricane Harvey. Scientific Recognition: NASA Postdoctoral Program Fellow (2013-2015) at Jet Propulsion Laboratory Academic Contributions: As an active educator, Dr. Fu teaches core geology courses including Introduction to Geology, Earth Structure and Tectonics, and Geophysics. Her research program demonstrates sustained collaboration with leading institutions including Caltech, UC Berkeley, and international partners, though specific grant details and student advisees are not publicly enumerated in available materials. Research Infrastructure: She contributes to BGSU's Center for Great Lakes and Watershed Studies, leveraging geodetic networks to study hydrological processes in the Great Lakes Basin while maintaining strong ties to NASA-funded research initiatives.

Andreas WieserView profile

Professor

• Geodesy
• Engineering Geodesy
• Geomatics
• +5 more

Prof. Dr. Andreas Wieser is a Visiting Professor at ETH Zurich and a Full Professor at the Department of Civil, Environmental and Geomatic Engineering . His expertise lies in geodetic monitoring, sensor system development, and applications of laser scanning technologies in engineering and environmental contexts. Education: Habilitation in Applied Geodesy (Graz University of Technology, 2007) PhD in Geodesy (Graz University of Technology, 2001) Diploma in Geodesy (Vienna University of Technology, 1995) Andreas Wieser's research focuses on geodetic monitoring of structures and surfaces , terrestrial and hyperspectral laser scanning , and optimization of geodetic sensor systems . His recent publications emphasize applications in avalanche risk assessment, infrastructure deformation analysis, and radiometric calibration techniques. Key contributions include: Development of low-cost lidar monitoring systems for avalanche zones Advancements in automatic radiometric calibration for laser scanners Innovations in 3D displacement estimation with uncertainty quantification Scientific recognition includes: Karl-Rinner Award (Austrian Geodetic Commission, 2006) Erwin-Schrödinger Fellowship (Austrian Science Fund, 2003) Josef Krainer-Award for Young Scientists (Government of Styria, 2002) Multiple Best Presentation Awards at international conferences He has served as: Referee/Co-referee for over 30 doctoral theses Guest Professor at University of Stuttgart (2023) Leadership roles in academic commissions and editorial boards

• Signal Processing
• Ionospheric Physics
• Seismology
• +3 more

Assoc. Prof. Dr. Seçil Karatay is an Associate Professor at Kastamonu University's Faculty of Engineering and Architecture, Department of Electrical-Electronics Engineering. She holds a PhD in Physics from Fırat University (2010), an MSc in Physics (2005), and a BSc in Physics (2001). Her academic career spans roles including Department Head (2013-2017), Dean Assistant (2013-2016), and Director of Research Application Center (2016-2021). PhD: Physics, Fırat University, 2005-2010 MSc: Physics, Fırat University, 2002-2005 BSc: Physics, Fırat University, 1997-2001 Her research focuses on Signal Processing and Ionospheric Physics , particularly analyzing ionospheric disturbances related to seismic activity and space weather phenomena. She has pioneered algorithms like IONOLAB-FFT and Differential Rate of TEC (DROT) for detecting geophysical effects in ionospheric data. Her work spans machine learning applications for earthquake prediction, GPS-TEC analysis , and seasonal atmospheric variability studies. Recent publications highlight her expertise in 2023 Kahramanmaraş earthquakes ionospheric impact analysis, LSTM algorithm for disturbance classification, and Random Forest models for seismic precursor detection. With over 60 publications and citations exceeding 230, her research has significant SCI/SSCI indexing presence. Collaborations include Feza Arıkan (29 joint works), Ali Çınar (19), and Orhan Arıkan (14).

• Geodesy
• GNSS Technology
• Remote Sensing
• +3 more

Jacek Rapiński is a Professor at the University of Warmia and Mazury (UWM) in the Department of Geoengineering. His research focuses on geodesy, GNSS technology, LiDAR data processing, and structural monitoring, particularly in mining and environmental contexts. He has supervised doctoral students at UWM and UPC and contributed to numerous publications. Over 58 publications in WoS/Scopus 307 citations (WoS/Scopus) H-index 12 (WoS/Scopus), 14 (Google Scholar) Supervised 1 doctoral student at UWM and 2 total His recent research explores GNSS multipath mitigation , low-cost sensor integration , and machine learning applications for infrastructure monitoring. Projects include innovative tools for GNSS mission planning and climate-focused land consolidation strategies. While no explicit awards are listed, his work involves advanced methodologies like Msplit estimation and MEMS sensor fusion . He emphasizes promoting doctoral research with available funding and infrastructure at UWM.

• Infrastructure construction
• Optimization of soil stabilization processes
• Environmental aspects of construction investments
• +3 more

Piotr Srokosz is a professor at the University of Warmia and Mazury in Olsztyn, affiliated with the Department of Civil Engineering and Geoengineering. His scientific discipline focuses on Civil Engineering and Transport, with a specialization in geotechnical and environmental engineering applications. Research involves soil mechanics and stabilization Develops advanced measurement systems for civil infrastructure Applies computational intelligence to engineering challenges Recent publications demonstrate expertise in integrating MEMS sensors, neural networks, and hybrid modeling approaches for soil behavior prediction and structural monitoring. His scientific work spans lunar soil simulant studies, eco-friendly stabilization techniques with chitosan, and optimization of geotechnical testing apparatuses. Key research trends include: Computational modeling of soil dynamics Application of AI/ML in civil engineering Development of contactless measurement systems Environmental impact assessment of construction The department maintains modern geotechnical infrastructure including modified resonant column devices and IoT-enabled sensor networks for advanced soil testing and structural safety monitoring.