Find Academic Supervisors

Frederik J. Simons is a Professor of Geosciences and Associate Chair of the Department of Geosciences at Princeton University. He holds affiliations with the Program in Applied & Computational Mathematics, High Meadows Environmental Institute, and Andlinger Center for Energy and the Environment. His research focuses on global geophysics, seismology, and geodesy, emphasizing the lithosphere's physical properties through seismic tomography and spectral analysis. Simons developed methods for oceanic instrumentation, including the EarthScope-Oceans consortium, and pioneered wavelet-based signal processing for seismology. His work integrates computational inverse methods and statistical techniques, with a commitment to reproducible research. Education: PhD in Geophysics (MIT), M.Sc. in Geology (KU Leuven, Belgium). Previous roles include Lecturer at University College London and Hess Postdoctoral Fellow at Princeton. Research interests span seismic tomography, lithospheric mechanics, and planetary science, with notable contributions to mantle structure imaging and earthquake early warning systems. Awards include the Vladimir Keilis-Borok Medal (2022). Simons advises graduate students and mentors researchers in computational geoscience. His teaching emphasizes clarity and engagement, blending theoretical foundations with hands-on applications.

• Geophysics
• Seismology
• Geodesy
• +3 more

Kami Mohammadi is an Assistant Professor in the Civil & Environmental Engineering department at the University of Utah , with an adjunct appointment in Geology & Geophysics . Holding a PhD from Georgia Institute of Technology and postdoctoral experience at Caltech, Mohammadi specializes in seismic wave propagation, basin effects, and computational geotechnical modeling. Education PhD (2015), Civil and Environmental Engineering - Geotechnical Engineering, Georgia Institute of Technology MS (2012), Geotechnical Engineering with minor in Applied Mathematics, Georgia Institute of Technology MS (2006), Civil Engineering, University of Tehran BS (2003), Civil Engineering, Chamran University of Ahvaz Their research focuses on: 3D seismic wave propagation in heterogeneous media Basin effects on earthquake amplification Hybrid physics-informed machine learning models Finite element/discrete element modeling of geotechnical systems Ground motion prediction and hazard analysis Hydraulic fracturing in fractured rock Recent work integrates full-waveform inversion with neural networks for subsurface imaging. Mohammadi teaches graduate courses in geotechnical engineering, soil dynamics, and earthquake engineering, with a focus on computational methods and laboratory practices. Current grants include: EXTERNAL GRANT OR CONTRACT (2024-2030): Integration of computational and experimental analyses for earthquake amplification EXTERNAL GRANT OR CONTRACT (2024-2029): 3D site effect modeling at LANL EXTERNAL GRANT OR CONTRACT (2021-2024): Various seismic projects Professional activities include community outreach through engineering education presentations.

• Geotechnical Engineering
• Seismic Wave Propagation
• Computational Modeling
• +3 more

Dr. David E. Lumley is the Cecil & Ida Green Endowed Chair in Geophysics and Professor of Earth Sciences & Physics at the University of Texas at Dallas (UTD), serving as Department Head since 2021. He holds a PhD from Stanford University (1995), MSc and BSc from the University of British Columbia (1989/1986). His research focuses on wavefield inversion methodologies for 4D time-lapse seismology, subsurface imaging, and applications to CO2 sequestration, induced seismicity, and planetary geodynamics. Lumley directs UTD's Seismic Imaging & Inversion Lab and previously led the Center for Energy Geoscience at University of Western Australia (2009-2017). Education: PhD in Geophysics, Stanford University (1995) MSc in Geophysics & Astronomy, UBC (1989) BSc (Hons) in Geophysics & Astronomy, UBC (1986) Research Interests: Pioneering 4D time-lapse seismology, seismic full-waveform inversion (FWI), ambient noise imaging, and applications to energy transition challenges. Current projects include monitoring Yellowstone's magmatic system, CO2 storage validation, and induced seismicity characterization. Combines HPC, AI, and geostatistical methods to solve inverse problems in exploration geophysics and environmental monitoring. Awards: SEG's J. Clarence Karcher Award (1996), 8 Best Paper Awards, Distinguished Lecturer for AAPG/SEG/SPE, and SEG Endowed Scholarships. Named SEG's first 'Pioneer of Geophysics' in 2005. Grants: Over $135M in competitive funding from NSF, DOE, DOD, and international agencies. Active in industry partnerships through ventures like 4th Wave Imaging (acquired by Fugro, 2007). Labs/Teams: Leads Seismic Imaging & Inversion Lab at UTD, collaborating with global networks in Australia, Europe, and industry consortia. Co-developer of seismic inversion software tools used in energy and environmental sectors.

• Geophysics
• Seismology
• Imaging and Inversion
• +7 more

Paul Sava is a Professor and C.H. Green Chair of Exploration Geophysics at the Colorado School of Mines, serving as Department Head of Geophysics since 2019. He holds a PhD in Geophysics from Stanford University (2005), an MSc from Stanford (1998), and an Engineer Geophysicist degree from the University of Bucharest (1995). His research focuses on seismic and radar wavefield imaging, planetary geophysics, and infrastructure monitoring. Notable contributions include advancements in wave-equation migration and planetary radar tomography. Education: PhD in Geophysics, Stanford University, 2005 MSc in Geophysics, Stanford University, 1998 Engineer Geophysicist, University of Bucharest, 1995 Research interests emphasize wavefield-based methods for subsurface imaging, planetary resource exploration, and autonomous data acquisition. Recent work explores seismic imaging of asteroids and Mars, leveraging orbital radar systems. His publications span seismic inversion, microseismic monitoring, and elastic wavefield tomography. Awards include the Reginald Fessenden Award (2007), T.K. Young Leadership Award (2020), and multiple Top 30 presentations at SEG Annual Meetings. He leads the Center for Wave Phenomena and actively collaborates with NASA and industry consortia on grants totaling over $6 million. Advising and grants involve mentoring over 30 students and postdocs, with grants focused on planetary radar imaging, seismic FWI, and Mars subsurface analysis. Key projects include the Planetary Orbital Radar Processing and Simulation System (PORPASS) and autonomous seismic exploration systems. Labs/Teams: Directly leads the Center for Wave Phenomena and the Seismic Imaging Team at CWP, advancing open-source tools like Madagascar for reproducible geophysical research.

• Seismic Imaging
• Planetary Geophysics
• Wavefield Tomography
• +5 more

Dr. Thomas Hertweck is a Researcher at the Geophysical Institute (GPI) of Karlsruhe Institute of Technology (KIT), specializing in Applied Geophysics and seismics from data acquisition to processing. He has been involved in teaching geophysical laboratory exercises, professional internships, and courses such as Introduction to Reflection Seismics and Seismic Data Processing . Prior to joining KIT, he spent over 12 years in the seismic industry as a geophysical researcher, software developer, R&D manager, and head of an R&D department. Research Interests : Applied geophysics, seismic data processing, high-performance computing in geophysics, full waveform inversion, reflection seismics, and true-amplitude migration techniques. His work focuses on enhancing seismic imaging through innovative algorithms and software development. Recent Publications : His research covers diverse topics including rift basin development, velocity analysis strategies, negative frequency significance, and advanced seismic stacking methods. These publications highlight his expertise in seismic data processing, waveform inversion, and tectonic studies. Committee Involvement : He serves on the Examination Board of the KIT Faculty of Physics, the Admissions Committee for the Master's Program in Geophysics, and the editorial board of the Journal of Seismic Exploration.

• Applied Geophysics
• Seismics
• Geophysical Data Processing
• +6 more

Mrinal K Sen is a Professor and Morgan J. Davis Centennial Chair in Geosciences at the University of Texas at Austin's Jackson School of Geosciences. He leads the Sen Research Group and holds affiliations with the Department of Earth and Planetary Sciences and the Institute for Geophysics. His work focuses on seismic wave propagation, anisotropy, and geophysical inverse problems, with applications in exploration seismology, reservoir characterization, and whole-Earth seismology. Sen pioneered methods combining Bayesian statistics, machine learning, and advanced numerical techniques to address uncertainty quantification and improve seismic imaging. Education: Ph.D., University of Hawaii at Manoa M.S., Indian School of Mines (now IIT) B.S., Indian School of Mines (now IIT) Research Interests: Seismic Inversion and FWI Bayesian Methods and Uncertainty Analysis Machine Learning in Geophysics Anisotropy and Wave Propagation Reservoir and CO2 Storage Modeling Recent work emphasizes hybrid quantum-neural networks for image generation, trans-dimensional MCMC for FWI, and physics-guided deep learning. His articles highlight advancements in stochastic inversion, fluid saturation modeling, and ambient noise monitoring for groundwater studies. Labs/Teams: Director of the Sen Research Group and former Interim Director (2017-2018) and Associate Director (2016-2020) of the UT Institute for Geophysics.

• Seismic Wave Propagation
• Geophysical Inverse Problems
• Seismic Anisotropy
• +7 more

Børge Arntsen is a Professor at the Department of Geosciences, Norwegian University of Science and Technology (NTNU). His research focuses on Solid Earth physics, Seismology, Seismic inversion, and Seismic processing. He contributes to subsurface monitoring and seismic imaging studies, including CO2 injection modeling and wave propagation analysis. University: Norwegian University of Science and Technology Department: Department of Geosciences Email: borge.arntsen@gmail.com Research Interests: Dr. Arntsen specializes in geophysical methods for subsurface characterization and seismic imaging. His work includes full waveform inversion (FWI) of ocean-bottom seismometer data, shear-wave resonance analysis for near-surface characterization, and laboratory-scale modeling of CO2 injection processes. He investigates seismic inversion techniques, signal processing workflows, and applications in marine geophysics and environmental monitoring. Collaborations: His recent projects involve institutions like AKERBP, JAMSTEC, NTNU, University of Stavanger (UIS), and UiT The Arctic University of Norway (UIT).

• Solid Earth physics
• Seismology
• Seismic inversion
• +2 more

Thomas Forbriger is a researcher at the Geophysical Institute (GPI) of the Karlsruhe Institute of Technology (KIT), responsible for operating the Black Forest Observatory (BFO). He teaches undergraduate and graduate courses in geophysics, focusing on seismic instrumentation, field exercises, and observatory practice. Research Interests His research spans seismology , instrumentation , and geophysical data analysis . Key areas include: Temporal gravity variations and tidal analysis Seismic surface wave propagation and inversion Calibration and noise reduction in seismic and gravimetric instruments Distributed Acoustic Sensing (DAS) applications Atmospheric effects on seismic recordings Scientific Output His recent work emphasizes strainmeter calibration using DAS arrays , long-period seismic noise reduction , and modeling atmospheric tilt noise . He has contributed to major discoveries, including the 2024 Greenland tsunami that generated global seismic signals for nine days. Teaching & Supervision He currently teaches: Geophysical Field Exercises (Bachelor) Physics of Seismic Instruments (Master) Black Forest Observatory Course / BFO Winterschool (Master) Scientific Seminars (Master) He has supervised over 30 Bachelor, Master, Diploma, and PhD theses, with topics ranging from sensor calibration to full-waveform inversion. Publications & Tools He has authored more than 100 peer-reviewed papers and gray literature contributions. He also maintains lecture notes and software tools for seismic data analysis and instrument calibration.

• Geophysics
• Seismology
• Instrumentation
• +9 more

Armando Espindola Carmona is a Research Fellow at Princeton University , currently serving as a Postdoctoral Research Associate in the Theoretical & Computational Seismology and Global Geophysics groups. His work focuses on seismic tomography, numerical simulations of wave propagation, and waveform inversion. He is affiliated with Guyot Hall, where he can be reached at office 314 via phone (609-258-3933) or email. Education: Ph.D. in Earth Science and Engineering from King Abdullah University of Science and Technology (KAUST) M.S. in Geophysics from Universidad Nacional Autónoma de México (UNAM) B.E. in Geophysics from UNAM Research Interests: Full-Waveform Inversion (FWI) techniques, particularly anelastic FWI with source encoding 3-D seismic wave propagation models Global and regional-scale seismic tomography Marine seismic data analysis with multicomponent ocean-bottom-node systems Trade-off analysis in inversion methodologies His recent work addresses critical challenges in crustal and mantle structure imaging, including the Red Sea's Zabargad Fracture Zone and the Arabian plate. He also investigates earthquake mechanisms, such as the 2023 Kahramanmaraş-Syria seismic events. Publications: His articles emphasize anelastic FWI, marine acquisition strategies, and earthquake dynamics. Key themes include optimizing global FWI workflows, analyzing inversion resolution, and applying adjoint tomography to volcanic complexes like Colima. Grants/Advising: No information on grants, advising, or mentorship roles is explicitly provided in the text. Labs/Teams: Engages with the Theoretical & Computational Seismology and Global Geophysics groups at Princeton, focusing on computational seismology and field deployments like the Red Sea Ocean Bottom Seismometer network.

• Geophysics
• Seismic Tomography
• Waveform Inversion
• +3 more

Dr. Scott Keating is a Lecturer at ETH Zurich’s Department of Earth and Planetary Sciences (D-EAPS), affiliated with the Institute of Geophysics. His research focuses on seismic inverse problem methodologies, particularly uncertainty quantification, numerical optimization, and the development of automated workflows for regional inversion updates. Current projects include full-waveform inversion of ambient noise measurements and CO2 storage monitoring using advanced sensor technologies like distributed acoustic sensing (DAS) and accelerometers. His work integrates cutting-edge computational methods, such as probabilistic inversion frameworks and adjoint-based optimization, to address challenges in subsurface imaging and parameter estimation. Applications span environmental seismology, carbon sequestration, and reservoir characterization, with a strong emphasis on practical, cost-effective solutions for real-world problems such as CO2 storage validation. Publications highlight contributions to elastic full-waveform inversion (FWI), including multiparameter analysis using combined geophone and DAS data, and innovative techniques like targeted nullspace shuttling to enhance inversion reliability. His research also addresses data sparsity and modeling uncertainties, advancing methodologies for robust subsurface monitoring and decision-making.

• Seismic Inversion Methodology
• Uncertainty Quantification
• Numerical Optimization
• +4 more

Mrinal K. Sen is a Professor and the Jackson Chair in Applied Seismology at the University of Texas at Austin. He is affiliated with the University of Texas Institute for Geophysics (UTIG), where he has served as Interim Director (2017–2018) and Associate Director (2016–2020). His research focuses on seismic wave propagation, full waveform inversion (FWI), uncertainty quantification, and physics-assisted machine learning for geophysical applications. Ph.D., University of Hawaii at Manoa M.S., Indian Institute of Technology B.S., Indian Institute of Technology Sen's work spans seismic inversion algorithms, finite difference methods, and trans-dimensional MCMC for FWI. He applies machine learning to unconventional reservoir characterization and seismic data analysis, integrating high-performance computing and physics-based constraints. His recent publications highlight hybrid quantum neural networks, Bayesian frameworks, and deep learning for FWI and noise reduction. Scientific awards include the Virgil Kauffman Gold Medal and Honorary Membership in SEG . His research is supported by collaborations with the Bureau of Economic Geology, Department of Earth and Planetary Sciences, and Center for Planetary Systems Habitability.

• Seismic Wave Propagation
• Full Waveform Inversion (FWI)
• Uncertainty Quantification
• +5 more

Tanner Acquisto is a Postdoctoral Fellow at the University of Texas Institute for Geophysics (UTIG), part of the University of Texas at Austin. His research focuses on marine geophysical data analysis to study oceanic plate structure and evolution, particularly at earthquake-prone subduction zones. His educational background includes: Ph.D. in Marine Geophysics from Lamont-Doherty Earth Observatory M.Res. in Exploration Geophysics from Institut de Physique du Globe de Paris B.S. in Geophysics from Texas A&M University Dr. Acquisto specializes in processing multichannel seismic (MCS) and ocean bottom seismometer (OBS) data through advanced techniques including travel-time tomography, full-waveform inversion (FWI), and differential effective medium modeling to extract properties like water content. His work bridges plate boundary dynamics, fault mechanics, and hydrogeological processes in marine environments. He is affiliated with UTIG at the J.J. Pickle Research Campus, which partners with the Department of Earth and Planetary Sciences and other geoscience units at UT Austin.

• Marine Geophysics
• Seismology
• Subduction Zones
• +5 more

Jo Eidsvik is a Professor at the Department of Mathematical Sciences, NTNU. His research focuses on spatio-temporal statistics, computational statistics, and their applications in Earth sciences, geophysics, and data assimilation. He leads projects like the Center for Geophysical Forecasting (SFI-CGF), GEOPARD, and MASCOT. He has authored a seminal book on 'Value of Information in the Earth Sciences' (2017), recognized with a runner-up award by INFORMS. Eidsvik has supervised numerous PhD and MSc students, including current advisees André Olaisen and Oscar Ovanger. He holds editorial roles in 'Mathematical Geosciences' and 'Statistics and Computing'. Education: MSc in Applied Mathematics (University of Oslo, 1997), PhD (NTNU, 2003). Industry experience includes roles at the Norwegian Defense Research Establishment and Statoil. He has been a visiting scholar at Stanford University and Duke University. Research highlights include Bayesian inversion methods, adaptive sampling with autonomous vehicles, and value of information analysis in decision-making. Recent work explores machine learning for irregular time series (ML4ITS) and oceanographic data assimilation. Over 60 MSc theses supervised, emphasizing interdisciplinary approaches. Labs/Teams: Center for Geophysical Forecasting (SFI-CGF), GEOPARD, MASCOT, Games. Grants/Awards: INFORMS Decision Analysis Society award (2017), extensive project funding through SFI and industry. Key Projects: Havvarsel (ocean data), CO₂ storage monitoring, and robotic sampling systems.

• Spatio-temporal statistics
• Computational statistics
• Geophysics
• +4 more

Morten Jakobsen is a Professor at the Department of Geosciences at the University of Bergen (UiB). His research focuses on advanced geophysical inversion techniques and subsurface imaging. Ranks: Professor Institution: University of Bergen Key research areas include: Seismic full waveform inversion (FWI) Electromagnetic induction logging Anisotropic media analysis Bayesian inversion methods 4D seismic data integration Computational geophysics Recent publication trends highlight his work on: Multi-dimensional parameter inversion for geophysical imaging Adjoint methods in electromagnetic logging Quantitative integration of seismic and production data Historical development of seismic processing techniques Scientific recognition: Honorable Mention, Best Paper in Geophysics (2009)

• Geophysics
• Seismic Inversion
• Subsurface Imaging
• +4 more

Prof. Thomas Bohlen is a Professor at the Karlsruhe Institute of Technology (KIT), affiliated with the Geophysical Institute (GPI). He leads the GPI research group and is based at Campus West 06.36. His work focuses on advanced seismic imaging techniques, including Full-Waveform Inversion (FWI) and its applications in environmental geophysics, CO₂ sequestration, and glacial sediment characterization. He has contributed to developing numerical methods for seismic wave modeling and boundary conditions like perfectly matched layers (PML). Research Interests: His primary areas include seismic inversion methodologies, viscoelastic and poroelastic modeling, crosshole and surface seismic imaging, and integrating multi-source geophysical data (e.g., GPR and seismic) for subsurface characterization. Applications span CO₂ storage monitoring, glacial geology, and infrastructure safety assessments. Key Achievements: Over 100 peer-reviewed articles since 2013, focusing on FWI advancements, anisotropy detection in glacial sediments, and innovative numerical techniques. He collaborates on projects like the ICDP DOVE site and the Sleipner CO₂ reservoir. His work bridges computational geophysics with field applications, emphasizing high-resolution subsurface imaging. Labs/Teams: Active in the GPI, leading research on FWI and seismic tomography. Involved in the Toolbox for Applied Seismic Tomography (TOAST) and underground lab experiments at Freiberg Reiche Zeche.

• Seismic Inversion
• Full-Waveform Inversion (FWI)
• Geophysics
• +3 more