Find Academic Supervisors

• Structural Health Monitoring
• Seismic Analysis
• Bayesian Calibration
• +14 more

Gaetano Miraglia is a Fixed-term Assistant Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, where he conducts research in structural health monitoring, seismic analysis, and computational modeling. He is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Centre, contributing to interdisciplinary efforts in risk mitigation and infrastructure resilience. His work spans both theoretical and applied domains, with strong emphasis on heritage preservation and sustainable urban development. His research interests include Bayesian calibration of nonlinear models, hybrid simulation, peridynamics, masonry structures, and the integration of satellite interferometric (InSAR) data with in-situ measurements for structural monitoring. He applies advanced computational and machine learning techniques to improve the accuracy and reliability of structural assessments, particularly in historical and monumental buildings. His work supports UN Sustainable Development Goals 9, 11, and 13. His recent publications demonstrate a consistent focus on data fusion, digital twinning, domain adaptation, and real-time damage detection. He frequently collaborates with researchers such as Rosario Ceravolo and Erica Lenticchia, publishing in high-impact journals like Computer-Aided Civil and Infrastructure Engineering , Structures , and Scientific Reports , as well as at major conferences including EWSHM, SAHC, and EVACES. His research is applied in projects such as the monitoring of the Vicoforte Sanctuary and the development of the CAMELOT and HY-LEARN toolboxes. Research Projects: MONITORAGGIO VICOFORTE (2024–2026) – Member of Research Group CAMELOT – PoC Transition (2023–2024) – Member of Research Group HY-LEARN – Model Calibration via Hybrid Simulation and ML (2022–2024) – Scientific Manager (PNRR Mission 4) He teaches in various programs, including as a course collaborator in PhD, Master’s, and Bachelor’s level courses such as Earthquake Engineering , Structural Consolidation , and Seismic Risk of Cultural Heritage . He is also an inventor on national and international patents and software related to the CAMELOT toolbox, highlighting the translational impact of his research. He has no listed scientific awards or formal advisees in the provided text.

Gaël KermarrecView profile

Researcher

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +3 more

Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections

Domniki AsimakiView profile

Professor

• Geotechnical Engineering
• Seismology
• Structural Dynamics
• +6 more

Domniki Asimaki is a Professor of Mechanical and Civil Engineering at the California Institute of Technology (Caltech), part of the Division of Engineering and Applied Science. Her research focuses on geotechnical engineering, computational mechanics, and structural dynamics, with an emphasis on understanding ground motion effects on natural and engineered systems such as dams, tunnels, and urban infrastructure. She holds a Dipl. from the National Technical University of Athens (1998), an M.S. (2000) and Ph.D. (2004) from MIT, joining Caltech in 2014. Key research interests include soil dynamics, wave propagation, regional ground deformation, and soil-foundation-structure interaction. She has pioneered data-driven approaches to integrate numerical simulations with field observations for resilient infrastructure design. Notable achievements include developing the open-source Seismo-VLAB software for seismic analysis and receiving prestigious awards like the Bodossaki Award of Scientific Excellence and the Geotechnical Earthquake Engineering Award. Her work addresses seismic hazards at urban and regional scales, with recent studies on the 2023 Türkiye earthquake, the 2019 Ridgecrest earthquake, and Kathmandu Basin dynamics. She leads initiatives to enhance ground motion prediction, landslide hazard assessment, and infrastructure resilience through advanced modeling and AI-driven methods. Education: Dipl., National Technical University of Athens, 1998 M.S., Massachusetts Institute of Technology, 2000 Ph.D., Massachusetts Institute of Technology, 2004 Awards: Bodossaki Award of Scientific Excellence Geotechnical Earthquake Engineering Award Labs/Teams: Leads research groups focusing on seismic hazard modeling, open-source software development, and geotechnical data assimilation techniques.

Annette EickerView profile

Professor

• Geodesy
• Satellite Gravimetry
• Gravity Field Modeling
• +4 more

Prof. Dr.-Ing. Annette Eicker is a Professor of Geodesy and Adjustment Calculations at the HafenCity University Hamburg (HCU), where she has been serving since 2016. Prior to her current position, she was an Academic Councillor at the Institute of Geodesy and Geoinformation at the University of Bonn (2014-2016), and has held visiting research positions at NASA's Jet Propulsion Laboratory in Pasadena, USA (2015) and the University of Rennes 1 in France (2014). Her research focuses on satellite gravimetry, particularly utilizing GRACE (Gravity Recovery and Climate Experiment) and GRACE-FO (Follow-On) mission data to monitor terrestrial water storage, study climate-related mass changes, and develop advanced methods for gravity field recovery. Her work bridges geodesy, hydrology, and climate science, with significant contributions to understanding global water cycle dynamics and developing next-generation gravity missions like MAGIC (Mass-change And Geosciences International Constellation). Analysis of her recent publications reveals a strong emphasis on improving the accuracy and applications of satellite gravity data for hydrological monitoring, with increasing focus on next-generation missions and daily gravity field solutions. Her research spans from fundamental method development (e.g., GROOPS software toolkit) to practical applications for water resource management and climate change monitoring. Prof. Eicker's work demonstrates leadership in the field of satellite gravimetry, with numerous publications in high-impact journals addressing critical challenges in Earth observation and climate monitoring. Though specific awards aren't mentioned in the provided materials, her extensive publication record and leadership in major projects like MAGIC indicate significant recognition within the geodetic and hydrological communities. Her research has strong implications for understanding climate change impacts on water resources, with applications in drought monitoring, flood risk assessment, and sustainable water management. She maintains active collaborations with international institutions including NASA's Jet Propulsion Laboratory and has contributed to major initiatives like the GlobalCDA Project, which integrates geodetic and remote sensing data with hydrological models.

Lisa Grant LudwigView profile

Professor

• Earthquake Science
• Seismology
• Geohazards
• +6 more

Lisa Grant Ludwig is a Professor in the Department of Population Health and Disease Prevention at the University of California, Irvine (UCI). She is a nationally recognized expert in earthquake science, focusing on translating geophysical research into policy for disaster risk reduction. Her work bridges seismology, public health, and policy implementation. PhD in Geology with Geophysics minor (Caltech) MS in Environmental Engineering Science (Caltech) BS in Applied Environmental Earth Science (Stanford) Dr. Ludwig's research centers on earthquake dynamics, particularly along the San Andreas Fault, advancing disaster resilience through innovative nowcasting techniques using AI and machine learning. Her publications demonstrate expertise in seismic hazard modeling, geodetic imaging, and community preparedness studies. Recent publications highlight AI-enhanced earthquake prediction (QuakeGPT), temporal-spatial nowcasting models, and applications of geodetic data for crustal deformation analysis. These works integrate machine learning with traditional seismological methods to improve hazard forecasting. President of Seismological Society of America NASA 2012 Software of the Year Medal Featured on Science magazine cover Congressional Testimony provider Active Federal Advisory Committee member Her interdisciplinary approach combines geophysics, public health policy, and computational science. Current projects focus on earthquake nowcasting, fault zone analysis, and developing accessible geospatial tools like GeoGateway for disaster response.

• Earthquake Geology
• Tectonic Geomorphology
• Structural Geology
• +3 more

Ramon Arrowsmith is a Professor at Arizona State University's School of Earth and Space Exploration (SESE). His research focuses on earthquake geology, tectonic geomorphology, and active faulting, with a particular emphasis on leveraging high-resolution topography through initiatives like OpenTopography. He has over 35 years of experience in paleoseismology, geomorphic mapping, and fault zone analysis. Arrowsmith has held administrative roles such as Deputy Director of SESE and associate directorships in graduate studies and geological sciences departments. His work integrates remote sensing, lidar technology, and robotics to address geological hazards and landscape evolution. Key projects include the QUAKES mission for topographic data collection and the development of low-cost seismic tools like ShakeBot. His research spans global regions, including the San Andreas Fault, Pamir-Tien Shan collision zone, and volcanic fields in Arizona and Mexico. Arrowsmith's recent publications highlight advancements in fault slip modeling, seismic hazard assessment, and open-access geospatial data platforms. His contributions to education include courses on field geology and computational methods in earth sciences. Collaborations with international teams and interdisciplinary projects underscore his commitment to advancing geoscience through innovation and accessibility.

Marcelo SantosView profile

Professor

• Geodesy
• GNSS and Navigation
• Space Geodesy
• +3 more

Marcelo Santos is a Professor in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick (UNB), where he has been a faculty member since 2000. He holds a PhD in Geodesy (1995, UNB), M.Sc. in Geophysics (1990, Rio de Janeiro National Observatory), and B.Sc.E. in Cartographic Engineering (1982, Rio de Janeiro State University). His academic career includes roles such as Head of the Department (2012–2017) and international leadership in organizations like the International Association of Geodesy (IAG), where he served as President of Commission 4 (2015–2019) and Senior National Delegate of Canada (2007–2011). Research interests focus on Space and Physical Geodesy, GNSS navigation, and atmospheric delay modeling. His work emphasizes rigorous height systems, geoid determination, and integration of geodetic techniques with numerical weather models. Key contributions include the development of UNB’s atmospheric delay models and the Stokes-Helmert geoid computation methodology. Professional activities include chairing IAG commissions, directing UNB’s Space Geodesy Laboratory (1996–1999), and advising on geodetic infrastructure projects in Brazil and Canada. His publications span over 150 peer-reviewed articles, covering topics like tropospheric modeling, geoid determination, and GNSS applications in environmental monitoring. Led research grants include projects on global topographical density models and climate applications of GNSS-derived tropospheric parameters. Collaborations involve institutions like NASA, ESA, and Brazil’s IBGE. Current projects focus on enhancing geoid models and improving vertical datum systems for precision geomatics applications.

Christian HirtView profile

Research Fellow

• Geodesy
• Gravity Field Modelling
• Geodetic Astronomy
• +3 more

Christian Hirt is a Senior Research Fellow at Curtin University, Australia, and a Hans Fischer Fellow at the Technical University of Munich (TUM). His academic career includes roles as an Associate Professor at HafenCity University Hamburg and professional contributions at the University of Hanover. He specializes in geodesy, gravity field modeling for Earth, Moon, and Mars, and geodetic astronomy. Hirt has developed advanced systems like the Digital Zenith Camera and contributed to regional geoid models for Australia and New Zealand. His research also addresses atmospheric refraction and high-resolution gravity field analysis using satellite data like GOCE. Notable achievements include attracting $1.25M AUD in research funding and leading an ARC Discovery Project on GOCE satellite gravimetry. Awards include the ARC Discovery Outstanding Researcher Award (2011) and the Victor-Rizkallah Award (2001). Research focuses on gravity field modeling, including planetary topography effects, spectral forward modeling, and validation of global gravity models. Hirt’s work bridges geodetic instrumentation (e.g., QDaedalus systems) with theoretical advancements in forward modeling techniques. His publications span planetary gravity models (Mars, Moon), geoid-quasigeoid corrections, and high-resolution terrain analysis. Grants include a $450K ARC Discovery Project on GOCE applications in Australia. Awards and recognitions highlight his contributions to geodesy and planetary science. His labs and instruments, such as the QDaedalus system, enable precise vertical deflection measurements in challenging terrains. Collaborations include global geoid validation networks and digital elevation model services (IDEMS).

Erik LinsteadView profile

Associate Professor

• Machine Learning
• GPU Programming
• Autism Spectrum Disorder
• +5 more

Dr. Erik Linstead is an Associate Professor and Senior Associate Dean at Chapman University, affiliated with the Fowler School of Engineering, School of Pharmacy, and George L. Argyros College of Business and Economics. His expertise spans Machine Learning, GPU Programming, Autism Spectrum Disorder, Assistive Technologies, Predictive Analytics, and Virtual Reality. Education: Bachelor of Science, Chapman University Master of Science, Stanford University Ph.D., University of California, Irvine Dr. Linstead's research integrates machine learning with diverse domains, including autism treatment, environmental monitoring, and software engineering. His recent publications focus on coral reef health, land surface temperature trends, and embedded machine learning systems. His scholarly work includes collaborations in remote sensing, medical informatics, and neurodiversity support. Articles highlight his interdisciplinary approach, applying AI to ecological challenges (e.g., Red Sea coral reefs, Nile Basin droughts) and human-centered technologies (e.g., VR therapy for autism, medication adherence analysis).

Jean-Philippe AvouacView profile

Professor

• Geomechanics
• Seismology
• Geodesy
• +5 more

Jean-Philippe Avouac is the Earle C. Anthony Professor of Geology and Mechanical and Civil Engineering at the California Institute of Technology (Caltech). He is also the Associate Director of the Center for Autonomous Systems and Technologies and the former Director of the Tectonic Observatory (2004–2013). His academic career includes roles at the University of Cambridge (2018–2021) and leadership in geomechanics research. Avouac holds a M.E. from École Polytechnique (1987), a Ph.D. from Institut de Physique du Globe de Paris (1991), and a Habilitation (1992). His research focuses on crustal deformation, earthquake mechanics, and geomorphic processes, using field observations, geodetic measurements, and remote sensing. He has authored over 200 peer-reviewed publications and pioneered geodetic imaging techniques. Key research areas include seismicity forecasting, fault dynamics, and subsurface engineering impacts. Awards include the AGU Fellow distinction and the Wolfson Merit Award. Avouac advises numerous PhD students and postdocs, directing labs like the Center for Geomechanics and Mitigation of Geohazards. His work spans tectonic processes in the Himalayas, induced seismicity, and planetary surface dynamics.

Scott KingView profile

Professor

• Planetary Geodynamics
• Mantle Convection
• Seismic Analysis
• +3 more

Scott King is a Professor of Geophysics at Virginia Tech's Department of Geosciences within the College of Science. His research focuses on planetary interiors, mantle convection, and tectonic processes, with emphasis on Mars, Venus, Mercury, and Ceres. He has contributed to NASA's InSight mission and the Dawn mission to Ceres. Key roles include advancing numerical methods for geodynamic modeling and studying mantle dynamics through seismic and computational approaches. Education: PhD in Geophysics from Caltech (1990), and dual B.A. degrees in Geophysical Sciences and Applied Mathematics from the University of Chicago (1985). Research Interests: King explores plate tectonics, planetary thermal evolution, and mantle flow using numerical simulations. His work includes analyzing seismic data from Mars (via InSight), Venusian coronae formation, and Mercury's thermal evolution. He also develops computational tools for 3D convection modeling. Recent Article Themes: Articles focus on Mars' core-mantle boundary, mantle plumes on Venus, and Earth's North American plate dynamics. Methodological advancements include comparing convection codes (ASPECT vs. CitcomS) and optimizing fault implementation in numerical models. Awards: Fellow of the Geological Society of America (2018) Alexander von Humboldt Research Award (2009) University Faculty Scholar, Purdue University (2004–2007) Advising & Grants: Mentors students studying Venus resurfacing, Mars volcanism, and Mercury's thermal evolution. His computational methods have been supported by grants and fellowships, including Argonne National Laboratory and Scripps Institution collaborations. Labs/Teams: Research group specializes in planetary geodynamics, with active projects on mantle convection, seismic analysis, and mission-related data interpretation (e.g., InSight).

• Climate Dynamics
• Numerical Weather Prediction (NWP)
• Atmospheric Modeling
• +3 more

Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives

• Photogrammetry
• 3D Metrology
• Laser Scanning
• +3 more

Dr. Darius Popovas is a researcher at the Institute for Applied Photogrammetry and Geoinformatics (IAPG), Jade University of Applied Sciences, Oldenburg, Germany. He is a member of the Laboratory for Optical 3D Metrology, contributing to advancements in photogrammetry and 3D scanning technologies since 2020. His research focuses on photogrammetry , 3D metrology , and virtual simulation , with specific interests in developing laser scanner simulators for digital twin environments, educational applications, and robotic missions. His work integrates computer vision, geomatics, and educational technology to create innovative simulation tools that bridge theoretical research with practical industrial and academic implementations. Between 2020 and 2024, Popovas co-authored six publications demonstrating a progression from foundational simulator development to applications in dynamic scanning and geodetic network planning for robots. This trajectory highlights increasing complexity in virtual scanning technologies, with recent work emphasizing real-time processing, sensor simulation, and integration into digital twin frameworks for industrial and educational contexts. He is a key contributor to the DAAD-funded project "Virtual laser scanner simulator for digitizing the teaching environment" (2019-2024), which develops software for generating simulated 3D point cloud data to enhance teaching methodologies in photogrammetry and geoinformatics through virtual laboratories and digital training resources. Within the IAPG, Popovas collaborates in the Laboratory for Optical 3D Metrology under Prof. Dr. Thomas Luhmann, working alongside a multidisciplinary team including Dr. Maria Chizhova and Dr. Denys Gorkovchuk. The laboratory actively organizes the Oldenburg 3D Days conference series, serving as a platform for disseminating research in optical metrology and fostering industry-academia partnerships.

Paul A. RosenView profile

Visiting Associate Professor

• Radar Applications in Geophysics
• Interferometric Methods
• Geodesy
• +3 more

Paul A. Rosen is a Visiting Associate Professor in Geophysics and Lecturer in Electrical Engineering at the California Institute of Technology (Caltech). He has held roles as Technical Group Supervisor at the Jet Propulsion Laboratory (JPL) since 1992 and has served as a Lecturer at Caltech during periods from 2000-2003, 2005-2008, 2022-23, and 2025 onward. His primary affiliation as a Visiting Associate at Caltech began in 1998 and continues through 2025. Education: B.S., M.S. from the University of Pennsylvania (1981-1982), and Ph.D. in Electrical Engineering from Stanford University (1989). Research focuses on radar applications for geophysical exploration, particularly interferometric methods in geodesy and surface characterization. He also develops scientific computing frameworks for geodetic analysis, including the InSAR Scientific Computing Environment (ISCE). His work addresses earthquake rupture imaging, disaster response using SAR data, and tectonic deformation monitoring. Publications span radar-based geophysical analysis, computational geodesy, and interdisciplinary applications of remote sensing. Notable contributions include studies on the Bam earthquake (2003), Peruvian subduction zone earthquakes (2007), and rapid disaster response using COSMO-Skymed SAR data (2016). Advising and grants: No specific student advisees or grant details provided in the text. His professional activities are centered at JPL and Caltech, focusing on mission-critical geophysical research and education. Labs/Teams: Affiliated with JPL's radar and geophysics teams, contributing to missions like NISAR and advancing InSAR technology for Earth observation.

Shilov Valery VladimirovichView profile

Professor

• Parallel Computing
• Parallel Architectures
• History of Informatics
• +3 more

Valery Vladimirovich Shilov is a Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE University) in Moscow. He began working at HSE in 2015 and has extensive scientific and teaching experience spanning several decades across various prestigious institutions in Russia. His educational background includes a degree in Applied Mathematics from Lomonosov Moscow State University (1976), qualification as a Lawyer from the Higher Institute of Management (2001), and the academic title of Candidate of Technical Sciences (1989). His professional journey began at Central Research Institute 45 of the Ministry of Defense of the USSR (1976-1989), continued at the USSR Academy of Sciences Computing Center (1989-1997), and included professorial positions at MATI - Russian State Technological University named after K.E. Tsiolkovsky (1997-2015), where he also served as Head of the Department of Design of Computing Complexes and Deputy Dean of the Engineering and Economic Faculty for Science. Professor Shilov's research focuses on parallel computing, parallel architectures, and the history of informatics, with particular emphasis on Soviet and Russian computing history. His scholarly output demonstrates deep engagement with historical aspects of computing technology, including early mechanical calculators, Soviet-era computer development, and the evolution of computing in Eastern Europe. His publications reveal a consistent pattern of examining how computing technologies evolved within specific historical, political, and economic contexts, with special attention to Russian and Soviet contributions. His numerous scientific awards reflect significant recognition in his field, including honors from the Ministry of Education and Science of Russia, the Russian Section of IEEE Computer Society, the Polytechnic Museum, and multiple awards from HSE University. His leadership in organizing academic conferences, particularly those focused on the history of computing in Russia and former Soviet states, has been instrumental in preserving and advancing knowledge in this specialized area. Professor Shilov has supervised multiple PhD students focusing on software engineering, processor architecture, and parallel computing algorithms. His grant activities include leading an RFBR project on the history of domestic computing and informatics (1946-1960), demonstrating his commitment to documenting and analyzing the historical development of computing in Russia. He remains actively involved in academic service as a member of editorial boards for several journals and as a participant in numerous international conferences.