جستجوی استاد راهنمای دانشگاهی

• Structural Health Monitoring
• Seismic Analysis
• Bayesian Calibration
• +۱۴ مورد دیگر

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.

• Geomatic Engineering
• Remote Sensing
• GIS Programming and Visualization
• +۶ مورد دیگر

Dr. Zhenyu Zhang is a Lecturer in Surveying and Spatial Science at the School of Surveying and Built Environment , University of Southern Queensland (Springfield Campus). With over 20 years of tertiary teaching experience, he specializes in geomatic engineering, GIS programming, remote sensing, and machine learning applications for geospatial data analysis. His work focuses on LiDAR technologies (terrestrial and airborne) for environmental management, 3D modeling, and high-resolution DEM generation. Member of Surveying and Spatial Science Institute (SSSI), Australia Member of Modelling and Simulation Society of Australia and New Zealand Member of International Global Navigation Satellite Systems (IGNSS) His research integrates geomatics with environmental geoscience, emphasizing forest biomass estimation, carbon accounting, and BIM development using laser scanning. He teaches foundational and advanced courses in surveying, geodetics, GIS programming, and research projects at both undergraduate and postgraduate levels.

Keith D. Koperمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Array Seismology
• +۱۲ مورد دیگر

Keith D. Koper is a Professor in the Department of Geology & Geophysics at the University of Utah and serves as Director of the University of Utah Seismograph Stations (UUSS). He is also the editor-in-chief of The Seismic Record . His work integrates academic research with operational seismic monitoring and public safety initiatives across Utah and the Intermountain West. Education: PhD in Geophysics, Washington University, 1998 BA in Math, Geology, and ISP, Northwestern University, 1993 Dr. Koper's research focuses on array seismology, forensic seismology, deep Earth structure (especially the inner core), earthquake rupture imaging, ambient seismic noise, and seismic hazards in the Intermountain West, including mining-induced and urban earthquakes. His work combines observational seismology with advanced signal processing and machine learning techniques to improve detection, discrimination, and imaging capabilities. He has led or contributed to major projects involving the Wasatch Front, Yellowstone, and regional seismic networks. His recent research emphasizes machine learning for earthquake detection, high-resolution relocation of aftershock sequences (e.g., Magna 2020, Bluffdale 2019), microseism generation in lakes, and fine-scale imaging of the Earth's inner core using seismic reflections. His studies often involve interdisciplinary collaboration, particularly with mining engineering and geodesy. Dr. Koper's research has been consistently funded by federal and state agencies, including the National Science Foundation (NSF), U.S. Geological Survey (USGS), Department of Energy (DOE), Air Force Research Laboratory (AFRL), and the Utah Department of Public Safety. His publications reflect a strong trend toward integrating computational methods with traditional seismological analysis to tackle complex problems in both natural and induced seismicity. Scientific Service and Leadership: Editor-in-Chief, The Seismic Record Director, University of Utah Seismograph Stations Secretary, U.S. Air Force Seismic Review Panel Former Chair and Vice-Chair, Utah Seismic Safety Commission Dr. Koper mentors graduate students in seismology and geophysics, including recent advisees Sean Hutchings and Alysha Armstrong. His research group actively engages in both fundamental and applied seismological research, with strong ties to national labs such as Sandia. The group is involved in deploying portable seismic arrays, analyzing large datasets, and developing new algorithms for event detection and classification. The University of Utah Seismograph Stations, under his leadership, plays a critical role in monitoring seismicity in Utah and Yellowstone, producing real-time earthquake information, ShakeMaps, and public outreach materials. The station also contributes to national and international efforts in nuclear test monitoring and volcanic hazard assessment.

Douglas Dregerمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Source Analysis
• +۵ مورد دیگر

Douglas Dreger is a Professor in the Department of Earth and Planetary Science at the University of California, Berkeley. His research focuses on seismic source analysis, wave propagation, Earth structure, and geophysical inverse problems. He primarily uses waveform data to investigate earthquake mechanics, stress orientations, and fluid-faulting interactions. Email: dreger@seismo.berkeley.edu His work spans diverse tectonic and geothermal environments, including the Ridgecrest earthquake sequence, Mendocino Triple Junction, North Korean nuclear tests, and The Geysers geothermal field. Recent studies examine graviquake hypotheses, long-period volcanic tremors, and stress drop validation through advanced inversion techniques. Dreger's publications reveal a strong emphasis on moment tensor inversion, fault geometry modeling, and seismic hazard assessment. He has contributed to understanding earthquake rupture heterogeneity, coseismic deformation, and 3D seismic simulations for hazard scenarios.

Steven G. Wesnouskyمشاهده پروفایل

استاد

• Geology
• Seismology
• Neotectonics
• +۶ مورد دیگر

Dr. Steven G. Wesnousky is the Foundation Professor and Director of the Center for Neotectonic Studies at the University of Nevada, Reno (UNR). He holds a Ph.D. in Seismology from Columbia University (1982) and a B.A. in Geology from the University of California, Santa Barbara (1975). His academic career spans over three decades at UNR, where he combines geology and seismology to study earthquake mechanics, seismic hazard quantification, and crustal deformation. Research focuses on neotectonics, active fault systems, and the Himalayan seismic hazard. Key areas include fault slip rates, paleoearthquake reconstruction, and integrating geological data into seismic risk models. He teaches advanced courses on photogeology, neotectonics, and seismic hazard analysis. Publications emphasize Quaternary fault mapping, Himalayan tectonics, and rupture mechanics. Notable works include studies on the Walker Lane deformation zone and the 2015 Gorkha earthquake in Nepal. Awards include the Foundation Professorship (2008), F. Donald Tibbetts Teaching Award (2008), and a Fulbright Scholarship (2005). Professional roles include presidency of the Seismological Society of America (1995–1997), board memberships, and international collaborations at institutions like King Abdul University and the Institute of Nuclear and Geological Sciences, New Zealand. His work bridges field geology, geochronology, and computational modeling to advance understanding of continental deformation and earthquake processes.

Gaël Kermarrecمشاهده پروفایل

پژوهشگر

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +۳ مورد دیگر

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 Asimakiمشاهده پروفایل

استاد

• Geotechnical Engineering
• Seismology
• Structural Dynamics
• +۶ مورد دیگر

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.

Jiaxuan Liمشاهده پروفایل

استادیار

• Seismology
• Distributed Acoustic Sensing
• Earthquake Rupture Dynamics
• +۷ مورد دیگر

Jiaxuan Li is an Assistant Professor of Geophysics in the Department of Earth and Atmospheric Sciences at the University of Houston's College of Natural Sciences and Mathematics. His research focuses on developing fiber-optic sensing technologies for seismic monitoring across diverse geological environments including volcanic, crustal, and glacial settings. Dr. Li's educational background includes a Ph.D. in Geophysics from the University of Houston (2015-2020) and a B.S. in Geophysics from Peking University (2011-2015). He previously held a postdoctoral position at Caltech Seismolab under Prof. Zhongwen Zhan. His research program centers on distributed acoustic sensing (DAS) applications, with major contributions in volcanic eruption forecasting through minute-scale magma migration imaging, earthquake rupture dynamics via high-frequency fault asperity analysis, and subsurface characterization for carbon sequestration and geothermal energy. Recent work demonstrates DAS capabilities as dense geodetic arrays for real-time volcanic monitoring systems deployed in Iceland through collaborations with the Icelandic Met Office and Reykjavik University. Analysis of Dr. Li's publication record reveals a strong emphasis on operationalizing fiber-optic networks for geophysical monitoring, with significant advancements in eruption early warning systems, earthquake source characterization, and subsurface imaging techniques. His work bridges fundamental seismological research with practical hazard mitigation applications. Dr. Li actively mentors graduate students and recently welcomed postdoc Dr. Tianfan Yan to his research team. His lab operates real-time DAS streaming systems for volcanic eruption monitoring in Iceland, developed through international collaborations involving the University of Houston, Caltech, Ljósleiðarann, and Reykjavik University. Current research directions include expanding DAS applications for carbon sequestration verification and deep geothermal reservoir characterization.

Ana Ferreiraمشاهده پروفایل

استاد

• Geosciences
• Geophysics
• Seismology
• +۵ مورد دیگر

Professor Ana Ferreira is a leading seismologist at University College London, focusing on deep Earth structure and earthquake source processes. Her research integrates seismic and geodetic data to understand planetary dynamics from the surface to the lowermost mantle. Her work includes pioneering seismic tomography, such as the SGLOBE-rani 3D anisotropy model, and earthquake source analysis using InSAR and normal mode data. She leads the Seismological Laboratory and teaches Seismology II and Field Geophysics. Recent projects include the UPFLOW experiment, which deployed 49 ocean bottom seismometers in the Atlantic, and studies on Greenland ice sheet evolution and Tonga volcanic eruptions. Her EU-funded research emphasizes multidisciplinary data integration and numerical modeling. Key article trends cover mantle anisotropy, global tomography, earthquake source inversion, cosmology-inspired machine learning, and ocean bottom seismology applications in geodynamics and cryospheric processes.

Eric Hetlandمشاهده پروفایل

دانشیار

• Seismology
• Geodesy
• Crustal Deformation
• +۳ مورد دیگر

Eric Hetland is an Associate Professor in the Department of Earth and Environmental Sciences at the University of Michigan. His research focuses on geophysical natural hazards, particularly earthquake dynamics from a geodetic perspective. He investigates fault loading processes during interseismic and postseismic periods, and collaborates on modeling volcanic eruption conditions with Prof. Becky Lange. His work integrates machine learning methods into geodetic data analysis, addressing climate studies and hazard vulnerability. Applied mathematics and computational science are central to his interdisciplinary approach. Education: PhD in Geophysics from MIT (2006), MA in Geology from SUNY Binghamton (2000), BS in Physics from UC Santa Cruz (1996) Research Interests: Seismology, Geodesy, Crustal Deformation, Geodynamics, Magmatism and Volcanism Lab/Teams: Active collaborations with interdisciplinary teams, leveraging geodetic and computational tools His recent publications emphasize coseismic slip distribution modeling, Bayesian stress inversion, and transient strain analysis using advanced statistical methods. He has no listed scientific awards but maintains an active research program funded through collaborative grants. Advising focuses on graduate student training in geophysical hazards and computational geophysics.

Sylvain Barbotمشاهده پروفایل

دانشیار

• Geophysics
• Fault Dynamics
• Seismology
• +۳ مورد دیگر

Sylvain Barbot is an Associate Professor of Earth Sciences at the University of Southern California (USC) Dornsife College of Letters, Arts and Sciences. His research focuses on understanding the physics of fault systems, earthquake mechanics, and tectonic processes. He holds a Ph.D. in Earth Sciences from Scripps Institution of Oceanography, University of California San Diego (2009), followed by postdoctoral training. His work integrates field observations, geodetic data analysis, and numerical modeling to study fault dynamics, frictional processes, and deformation in Earth's crust and upper mantle. Research interests include: Fault slip stability and earthquake nucleation Thermomechanical behavior of fault zones Seismic cycle modeling in subduction zones and continental margins Interactions between tectonic deformation and climate Remote sensing applications in geohazard assessment Recent studies analyze rupture segmentation, asthenosphere flow modulation during earthquake cycles, and the structural controls on seismic hazards. His computational tools, such as the Motorcycle numerical method, advance simulations of multi-fault systems. He has contributed to understanding the 2014 Iquique, 2023 Kahramanmaraş, and 2022 Kaikōura earthquakes through geodetic and mechanical analyses. No scientific awards were explicitly mentioned in the provided texts. He advises no listed students but collaborates on large-scale geodynamic projects. His work interfaces with international initiatives like the SEAS community code verification exercises for earthquake simulations.

Annette Eickerمشاهده پروفایل

استاد

• Geodesy
• Satellite Gravimetry
• Gravity Field Modeling
• +۴ مورد دیگر

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 Ludwigمشاهده پروفایل

استاد

• Earthquake Science
• Seismology
• Geohazards
• +۶ مورد دیگر

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.

• Civil Engineering
• Geomatics
• Construction Informatics
• +۳ مورد دیگر

Prof. Dr.-Ing. Jörg Blankenbach holds the Chair of Construction Informatics and Geoinformation Systems at RWTH Aachen University's Geodetic Institute. His research focuses on the integration of digital technologies in civil engineering and geospatial systems. Current affiliations include: Chair of Construction Informatics and Geoinformation Systems, RWTH Aachen University Geodetic Institute, RWTH Aachen University Research interests span digital construction management, geospatial data modeling, BIM-GIS integration, and smart infrastructure systems.

Hansjörg Kuttererمشاهده پروفایل

استاد

• Geodesy
• Geophysics
• Environmental Science
• +۳ مورد دیگر

Prof. Hansjörg Kutterer is a Professor and Dean at the KIT-Department of Civil Engineering, Geo and Environmental Sciences at Karlsruhe Institute of Technology (KIT). His primary affiliation is with KIT's Department of Civil Engineering, Geo and Environmental Sciences. He leads geodetic research initiatives focusing on Earth observation systems, atmospheric modeling, and geophysical data analysis. His research emphasizes advanced applications of GNSS, InSAR, and satellite gravimetry for monitoring climate-related phenomena such as water vapor dynamics, terrestrial water storage changes, and ground motion patterns. Key projects include developing machine learning-enhanced models for tropospheric delay corrections and integrated water vapor estimation in the Upper Rhine Graben region. Prof. Kutterer actively contributes to international geodetic frameworks like the Global Geodetic Observing System (GGOS), particularly through DA-CH regional collaborations. His work bridges geodetic methodologies with interdisciplinary challenges in climate science and environmental engineering. He oversees departmental operations as Dean, fostering innovation in geospatial education and infrastructure. His technical expertise spans geodetic deformation analysis, statistical robust estimation, and the integration of geophysical models with observational data.