Earthquake Source Modeling Professors and Supervisors | ApplySharif

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Göran EkströmView profile

Professor

Columbia UniversityUnited States

Göran Ekström is the Newberry Professor of Earth and Environmental Sciences at Columbia University's Lamont-Doherty Earth Observatory. He holds joint affiliations with the School of Earth and Environmental Sciences and the Department of Earth and Environmental Sciences. Previously, he was a professor at Harvard University (1990–2006) before moving to Columbia. His research focuses on seismic wave analysis, earthquake mechanics, and environmental geophysics with notable contributions to understanding glacial earthquakes, volcanic processes, and nuclear explosion monitoring. Education: B.S. in Physics (Swarthmore College, 1981), Ph.D. in Geophysics (Harvard University, 1987). Postbaccalaureate studies at Moscow State University and postdoctoral work at Columbia University. He has served as chair of major organizations like the Incorporated Research Institutions for Seismology and EarthScope Steering Committee. Research interests span seismology, tectonophysics, and environmental geology. Notable achievements include discovering glacial earthquakes linked to Greenland ice dynamics and developing the Global Centroid Moment Tensor Project. His work integrates seismic data from global networks to study Earth’s interior structure and tectonic processes. Awards include the Beno Gutenberg Medal (2015) and election to the U.S. National Academy of Sciences (2019). He advises on geohazard monitoring and collaborates with international agencies for seismic treaty verification. Current projects include studies of mantle dynamics using surface-wave tomography and analysis of geophysical signals from extreme events like landslides and volcanic eruptions.

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Zhigang PengView profile

Professor

Georgia Institute of TechnologyUnited States

Dr. Zhigang Peng is a Professor in the School of Earth & Atmospheric Sciences at Georgia Institute of Technology, part of the College of Sciences. His research focuses on seismicity dynamics, fault zone imaging, and data science applications in geophysics. He holds a Ph.D. in Geological Sciences from the University of Southern California (2004), an M.S. in Electrical Engineering (2002), and a B.S. in Geophysics from the University of Science and Technology of China (1998). Dr. Peng’s work spans seismological studies of earthquake triggering mechanisms, fault zone structures, and deep-focus earthquakes. He has pioneered dense seismic array techniques to image fault systems and employs machine learning for event detection and phase picking. His recent projects include analyzing the 2023 Kahramanmaraş earthquake sequence in Türkiye and the 2024 Noto earthquake in Japan. He leads initiatives like the Center for Collective Impact in Earthquake Science (C-CIES), promoting inclusive scientific collaboration. Research Highlights: Fault zone imaging, dynamic triggering, AI-driven seismology Labs: ES&T 2235 (Seismology Lab), ES&T 2256 (Office) His awards include the 2002 AGU Outstanding Student Paper Award. He actively contributes to earthquake hazard assessment, nuclear explosion monitoring, and volcano-seismic interactions, with over 150 peer-reviewed publications.

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Frederik TilmannView profile

Professor

Free University of BerlinGermany

Prof. Dr. Frederik Tilmann is a leading seismologist at the GFZ German Research Centre for Geosciences (Section 2.4 Seismology) and a professor at the Freie Universität Berlin . His work focuses on seismic waveform analysis to understand geodynamic processes in subduction zones and continental collisions. Current affiliations: Head of Seismology Section, GFZ Potsdam University Professor, Freie Universität Berlin Research interests include: Earthquake source characterization Seismic tomography methods Mantle dynamics and lithospheric deformation Machine learning applications in seismic data analysis Volcano-seismic monitoring Ocean bottom seismology techniques Recent publications highlight advancements in: Full waveform inversion for mantle dynamics Machine learning for seismic phase picking Anisotropy studies in Alpine and Himalayan regions Subduction zone microseismicity analysis Volcano-induced landslide detection Scientific awards include: Feodor-Lynen Fellowship (Humboldt Foundation) Trinity Hall College Staff Fellowship Multiple citations in high-impact journals Collaborative work spans global seismic infrastructure projects like SMART cables, the Collaborative Seismic Earth Model, and the AlpArray network. His methodology innovations in shear wave splitting and depth phase picking have become standards in computational seismology.

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Thanh-Son PhamView profile

Research Fellow

Australian National University (ANU)Australia

Dr. Thanh-Son Pham is an ARC DECRA Research Fellow in the Geophysics Department at The Australian National University’s Research School of Earth Sciences. His research focuses on using seismic waves to study Earth’s interior structures, from polar ice sheets to the inner core. He has pioneered methods like teleseismic P-wave coda autocorrelation and coda correlation wavefield analysis, leading to breakthroughs such as detecting J-waves in the inner core and identifying an innermost inner core layer. His work has been featured in Science , Nature Communications , and international media. He holds a PhD from ANU (2019) and has supervised research projects on Antarctic seismology and earthquake source physics. Awards include the 2024 Zatman lectureship from SEDI. Current projects include probing Antarctic ice sheets via correlation seismology and advancing machine learning tools for deep Earth studies. Education: PhD in Geophysics (ANU, 2019), Graduate Diploma in Earth System Physics (ICTP, 2015), BSc in Applied Mathematics (Hanoi University, 2013) Research interests span seismic source inversion, Antarctic ice dynamics, and inner core anisotropy. His 2024 articles address Hunga Tonga eruption mechanics and PKIKP wave analysis using deep learning. Media highlights include BBC, NYT, and ANU press releases.

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Simon CarnView profile

Professor

Michigan Technological UniversityUnited States

Simon Carn is a Professor in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University, specializing in satellite-based monitoring of volcanic degassing and atmospheric pollution. His work leverages NASA satellite constellations to quantify sulfur dioxide emissions and their climate impacts. Education: PhD in Volcanology from Cambridge University MS in Volcanology and Magmatic Processes from Université Blaise Pascal BA in Earth Sciences from Oxford University Research Focus: Carn pioneers the use of space-borne sensors like OMI and TEMPO to measure volcanic SO 2 , ozone, and other trace gases. His research bridges satellite observations with climate modeling to understand sulfate aerosol formation, volcanic cloud transport, and anthropogenic pollution sources. Key methodologies include DOAS/FTIR remote sensing, satellite-ground data validation, and aviation hazard mitigation systems. Publication Trends: Recent work (2023-2025) centers on high-cadence monitoring via geostationary satellites (TEMPO, DSCOVR/EPIC), analysis of major eruptions (Hunga Tonga, Raikoke), and extending 20+ years of global SO 2 records. Research emphasizes volcanic-climate interactions, eruption response protocols, and quantifying underreported passive degassing that affects climate models.

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Pengfei WangView profile

Assistant Professor

Old Dominion UniversityUnited States

Pengfei Wang is an Assistant Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU). He holds a Ph.D. in Geotechnical Engineering and an M.S. in Statistics from UCLA, alongside a B.S. in Transportation Engineering from Tongji University. Prior to ODU, he conducted postdoctoral research at UCLA. His expertise focuses on Geotechnical Engineering , Engineering Seismology , and Applied Statistics , with emphasis on regional geo-hazard modeling, multi-hazards risk assessment, and statistical learning applications. Key research interests include seismic site response analysis, liquefaction susceptibility, and probabilistic risk frameworks for infrastructure resilience. Dr. Wang’s work integrates geospatial analysis and statistical methodologies to address challenges in earthquake engineering. He has developed frameworks for regional landslide and liquefaction risk assessments, particularly in vulnerable regions like California’s Sacramento-San Joaquin Delta. His contributions include advancing HVSR (Horizontal-to-Vertical Spectral Ratio) methodologies and ergodic site response modeling. He maintains active collaborations with institutions globally and contributes to open-source databases for seismic data, promoting transparency and reproducibility in geotechnical research. His educational background in transportation engineering enriches interdisciplinary approaches to civil infrastructure resilience.

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Martin C. ChapmanView profile

Research Professor

Virginia Polytechnic Institute and State UniversityUnited States

Martin C. Chapman serves as Research Professor of Geophysics in Virginia Tech's College of Science, Department of Geosciences. He directs the Virginia Tech Seismological Observatory (VTSO), operating from a Cold War-era fallout shelter near the Virginia Tech Executive Airport. His research integrates observational seismology with earthquake hazard mitigation in plate-interior regions, particularly eastern North America. His educational background includes: Ph.D. in Geophysics, Virginia Tech (1998) M.S. in Geophysics, Virginia Tech (1979) B.S. in Geophysics, Virginia Tech (1977) Chapman's primary research focuses on plate-interior seismicity/tectonics and strong-motion seismology. He combines field observations from the VTSO network with global strong-motion data to investigate earthquake causes and wave propagation characteristics. Recent work emphasizes induced seismicity from aquifer recharge and wastewater injection, site amplification effects in sedimentary basins, and development of seismic monitoring networks for risk reduction in eastern North America. Analysis of his 2022-2025 publications reveals concentrated research on injection-induced seismicity in Virginia's Hampton Roads region, sediment thickness mapping of Atlantic/Gulf Coastal Plains for ground motion prediction, and advanced characterization of historical earthquakes (1886 Charleston) and recent sequences (2024 New Jersey, 2020 Sparta). His methodology integrates dense seismic arrays, machine learning detection algorithms, and geospatial analysis to refine hazard models. His scientific recognition includes: Jesuit Seismological Association Award for Contributions to Observational Seismology (2016) As VTSO director, Chapman oversees seismic monitoring across Virginia and leads the Hampton Roads Seismic Network initiative. His work involves significant collaboration with the US Geological Survey on coastal plain amplification studies and regional seismic hazard workshops. Current projects focus on optimizing earthquake detection during aquifer recharge operations and developing site-specific amplification models for eastern US infrastructure. Chapman's laboratory operations center on the VTSO's network of seismic stations, utilizing advanced techniques including reverse vertical seismic profiling and dense array backprojection imaging. His team's recent field deployments target induced seismicity monitoring in Southeast Virginia and detailed characterization of the Central Virginia Seismic Zone.

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Keith D. KoperView profile

Professor

University of UtahUnited States

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.

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Flavio AnselmettiView profile

Professor

University of BernSwitzerland

Prof. Flavio Anselmetti is a Full Professor of Quaternary Geology and Paleoclimatology at the University of Bern , where he has been employed since 2012. He also serves as the Managing Director of the Institute of Geological Sciences . Prior to this, he held significant roles at ETH Zurich, including SNSF Assistant Professor, and at EAWAG Dübendorf as Head of the Sedimentology Group, while remaining a Titular Professor at ETH Zurich until 2012. His academic training includes a Diploma in Geology (1990) from the University of Basel , followed by a PhD (1994) from ETH Zurich and University of Miami (USA) . He spent three years as a Postdoctoral Fellow and Research Associate at the University of Miami between 1994 and 1997. Paleoseismology : Using lacustrine and marine sediments to reconstruct earthquake and tsunami records Climate Change Studies : Investigating Holocene and Pleistocene climate shifts through sediment cores Sediment Dynamics : Analyzing source-to-sink systems and glacial sediment properties His recent publications focus on sedimentary archives in Science Advances , Quaternary Research , and Environmental Modelling and Software , with an emphasis on deep learning applications in sediment analysis , multi-proxy paleoenvironmental reconstructions , and human impact assessments over millennia. He has contributed to major projects in the Alpine foreland and Caribbean regions . Prof. Anselmetti leads the Quaternary Geology and Paleoclimatology Research Group and collaborates with international teams on ICDP-DOVE drilling campaigns and multibeam bathymetry mapping in Swiss lakes. His work extends to geohazard assessment , carbonate-siliciclastic shelf dynamics , and subaqueous fault analysis in active tectonic zones.

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David EatonView profile

Professor

University of CalgaryCanada

David Eaton is a Professor and former NSERC/Chevron Industrial Research Chair in Microseismic System Dynamics at the University of Calgary's Department of Geoscience. He holds a PhD in Geophysics from the University of Calgary (1992) and has published the textbook 'Passive Seismic Monitoring of Induced Seismicity'. Educational Background: PhD Geophysics, University of Calgary, 1992 MSc Geophysics, University of Calgary, 1988 BSc Geology and Physics, Queen's University, 1984 His research focuses on induced seismicity characterization, microseismic monitoring technology development, distributed acoustic sensing applications, physics-informed machine learning approaches, and lithospheric structure analysis. Current projects investigate earthquake triggering mechanisms during hydraulic fracturing and geothermal energy development. Publications show consistent focus on induced seismicity source characterization, monitoring methodologies, and geophysical applications for energy resource development. Recent work integrates machine learning with seismic monitoring to understand geological controls on induced seismicity. Scientific Awards: NSERC Synergy Award for Innovation (2020) J. Tuzo Wilson Medal, Canadian Geophysical Union (2020) CSEG Distinguished Lecturer (2019) Schulich School of Engineering Distinguished Collaborator (2019) University of Calgary Great Supervisor Award (2016) He leads the CREATE-REDEVELOP program training future leaders in responsible resource development and directs the microseismic research laboratory.

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STEVEN CONSTABLEView profile

Professor

University of California, San DiegoUnited States

Steven Constable is a Professor of Geophysics at the Institute of Geophysics and Planetary Physics (IGPP) within the Scripps Institution of Oceanography at UC San Diego. He specializes in electrical conductivity studies of Earth’s crust and mantle, seafloor instrumentation development, and geophysical data analysis. His research focuses on understanding tectonic processes, subduction zone dynamics, and marine geohazards through electromagnetic methods. Education: B.S., University of Western Australia Ph.D., Australian National University Research Interests: Electrical conductivity of crust and mantle Seafloor instrumentation development Magnetotelluric and controlled-source electromagnetic (CSEM) methods Subduction zone fluid dynamics CO 2 sequestration monitoring Mid-ocean ridge magmatism Grants & Collaborations: NSF-NERC Collaborative Research: Magnetotelluric imaging of plume-ridge interactions (Galapagos) Magnetotelluric Investigation of the Salton Trough (MIST) Experiment PI-LAB Experiment at the Equatorial Mid-Atlantic Ridge Labs & Teams: He leads the Marine Electromagnetics Lab , developing cutting-edge instrumentation for marine geophysical surveys. His team collaborates globally on projects ranging from Arctic permafrost assessment to subduction zone imaging.

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Thomas GoebelView profile

Assistant Professor

University of MemphisUnited States

Dr. Thomas Goebel is an Assistant Professor at the Center for Earthquake Research and Information (CERI), University of Memphis. He holds a PhD from the University of Southern California (2013). His research focuses on induced seismicity, fault structure, and earthquake source processes, integrating rock mechanics, seismology, and hydrogeology. Key projects include studies on fault roughness effects, aftershock clustering, and induced seismicity mitigation. He leads the Earthquake Physics Group (EPG), comprising 1 PostDoc and 5 graduate students, and collaborates internationally on volcano monitoring and geothermal energy projects. Dr. Goebel has received the 2023 Tigers Ascending to Excellence Award. Education: PhD in Earth Sciences, University of Southern California, 2013. Research interests emphasize interdisciplinary approaches to understanding stress storage/release in the crust, earthquake size prediction, and fault responses to fluid perturbations. His work bridges laboratory experiments, numerical modeling, and statistical analyses to address fundamental seismological questions. Recent publications highlight contributions to induced seismicity spatial footprints, laboratory-based aftershock dynamics, and volcano-seismic network development. He actively mentors students, with recent accolades including NSF internships and travel awards. Labs/Teams: Earthquake Physics Group (EPG) at CERI, collaborating with institutions in France, El Salvador, and the U.S. on projects like volcanic seismic networks and fault hydrology studies.

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Annette R. GrilliView profile

Research Professor

University of Rhode IslandUnited States

Annette R. Grilli is a Research Professor in the Department of Ocean Engineering at the University of Rhode Island , focusing on ocean renewable energy and coastal hazard assessment. Her work integrates numerical modeling and statistical analysis to study extreme events like tsunamis and storms. Ph.D. in Climatology, University of Delaware (2000) M.S. in Oceanography, University of Liege (1984) B.S. in Geography & Education, University of Liege (1983) Her research spans offshore wind farm siting optimization , tsunami propagation modeling , and coastal erosion dynamics . Recent publications highlight applications of phase-resolving wave models and machine learning to coastal resilience and marine renewable energy systems. Grants include collaborations with NOAA , Department of Energy , and NSF , focusing on coastal hazard visualization , tsunami detection algorithms , and design elevation mapping under climate change scenarios. She contributes to digitalCommons@URI with over 100 publications in Ocean Engineering and Civil Engineering domains.

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Sergey FomelView profile

Professor

University of Texas at AustinUnited States

Sergey Fomel is a Professor of Geophysics at the University of Texas at Austin, holding the Wallace E. Pratt Professorship and serving as Director of the Texas Consortium for Computational Seismology (TCCS). He is affiliated with the Jackson School of Geosciences, Bureau of Economic Geology, and the Oden Institute for Computational Engineering and Sciences. His research focuses on seismic data analysis, computational seismology, and machine learning applications in geophysics. He leads the Madagascar software project for open-source geophysical data analysis. Dr. Fomel earned his Ph.D. in Geophysics from Stanford University in 2001. He has held leadership roles in the Society of Exploration Geophysicists (SEG), including Vice President, Publications (2017–2019) and Distinguished Lecturer (2020). His awards include honorary memberships in SEG and the Geophysical Society of Houston (GSH). Recent research emphasizes deep learning for seismic inversion, noise reduction, and fault segmentation. His work addresses challenges in geophysical data processing, including adaptive algorithms, wave propagation modeling, and CO2 monitoring. Fomel's contributions span both theoretical and applied domains, bridging computational methods with practical geoscience applications. Education: Ph.D. in Geophysics, Stanford University (2001) Affiliations: Jackson School of Geosciences, Bureau of Economic Geology, Oden Institute Labs/Teams: Texas Consortium for Computational Seismology (TCCS), Madagascar Project

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Douglas DregerView profile

Professor

University of California, BerkeleyUnited States

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.

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