Prof. Dr. Andreas Fichtner is a Full Professor of Seismology and Wave Physics at ETH Zurich's Department of Earth and Planetary Sciences. He leads research in seismic tomography, fiber-optic sensing, and high-performance computing, deploying innovative techniques for imaging Earth's interior. His work includes developing distributed fiber-optic sensing for seismic monitoring in urban areas, volcanoes, and glaciers. Beyond seismology, he explores applications in medical ultrasound imaging and metamaterial design. Research interests span seismic wave inversion, uncertainty quantification, and fiber-optic technology. Notable achievements include co-founding Mondaic, a spin-off providing full-waveform modeling solutions. Awards include the 2011 Keiiti Aki Award (AGU), 2015 Early Career Scientist Award (IUGG), and 2018 Hoffmann Prize. He currently serves on the Board of Directors of the Seismological Society of America. Key contributions include pioneering fiber-optic seismology in ice streams and volcanoes, advancing multi-scale inversion methods, and integrating seismic data for continental-scale tomography. His research bridges geophysics with engineering, medical imaging, and computational science.
Dr. Babak Hejrani is a Visiting Research Fellow at the Research School of Earth Sciences (RSES), Australian National University (ANU). He holds a PhD in Geophysics from Aarhus University (2014) and has held roles including PostDoc fellow at RSES, Visiting Researcher at ETH Zurich, and affiliations with Geoscience Australia. His research focuses on 3D Earth imaging, upper mantle tomography, earthquake source physics, and machine learning applications in seismology. Education: PhD in Geophysics, Aarhus University, Denmark (2014) MSc in Geophysics, University of Tehran, Iran (2010) BSc in Pure Mathematics, University of Kurdistan, Iran (2007) Research interests include probabilistic Bayesian inversion for earthquake source complexity, seismic tomography, and structural tectonics. Recent work addresses fault rupture dynamics, volcanic eruption modeling, and improving tsunami warning systems via W-phase data analysis. He supervises projects on megathrust rupture processes and seismic moment tensor inversion. Publications span geophysical journal articles and conference abstracts, emphasizing 3D seismic wave modeling and lithospheric structure analysis. Collaborations include AusArray continental-scale seismic projects and development of high-performance computational tools like HiPerSeis. His research contributes to understanding deep earthquakes, subduction zone processes, and integrating machine learning (CNN-based seismic arrival classification) into seismological workflows.
Dr. Zhi Wei is a Postdoctoral Research Fellow at the Research School of Earth Sciences (RSES), Australian National University (ANU), specializing in computational seismology and planetary interior imaging. She joined ANU in February 2023 after serving as a Postdoctoral Fellow at Peking University (2018-2022), with research spanning Earth and planetary seismology through innovative wavefield analysis techniques. Her academic foundation includes: PhD in Geophysics, University of Chinese Academy of Sciences (2013-2018), thesis on S-wave velocity structure of the Australian continent's uppermost mantle Jointly Cultivated Postgraduate at ANU (2016-2017) BSc in Geophysics, China University of Mining and Technology (2009-2013) Dr. Wei pioneers methods for imaging planetary interiors using coda-correlation wavefields and full-waveform inversion, with current projects involving lunar seismology (Australian Space Agency), nuclear explosion monitoring (US Air Force), and 3D modeling of the Macquarie Ridge. Her work bridges fundamental geophysics with applied defense and space exploration initiatives, emphasizing high-resolution seismic imaging of crustal and mantle structures. Analysis of her publications reveals consistent focus on Earth's interior structure (particularly Australia and Sichuan-Yunnan regions), expanding recently into planetary applications (Mars crustal evolution, lunar seismology). Her methodology combines computational seismology with ambient noise tomography, showing increasing interdisciplinary collaboration with space agencies and defense organizations. Her scientific recognition includes: Peking University Boya Fellowship (2020) Multiple Outstanding Student awards from University of Chinese Academy of Sciences (2015-2018) China Scholarship Council and Chinese Academy of Sciences Graduate Scholarships She actively mentors PhD students, currently co-supervising Vishnupriya Pradeep on seismic station azimuth correction while providing daily guidance to the entire research group. Her work is supported by competitive grants including ANU Early Career Researcher Travel Grant, National Computational Infrastructure projects (as Chief Investigator), and National Natural Science Foundation of China funding. Dr. Wei also contributes to the field through AGU session convening, journal reviewing, and organizing technical workshops on Obspy/GMT. As part of international consortia involving Caltech, Cambridge, and Fleet Space Technologies, she operates at the intersection of academic research, space exploration, and nuclear treaty verification, maintaining active roles in the American Geophysical Union and ANU's Geophysics Group Seminars.
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.
Brady A. Flinchum is an Adjunct Professor at Clemson University's Department of Environmental Engineering and Earth Sciences. He holds a Ph.D. in Geophysics from the University of Wyoming (2017) and a B.S. in Geophysics from the University of Nevada, Reno (2012). His research focuses on integrating near-surface geophysical measurements to understand subsurface physical and chemical processes, particularly in the Critical Zone (up to 100 m depth). He investigates relationships between geophysical, hydrological, and geochemical parameters, with applications to groundwater distribution and subsurface structure elucidation. Dr. Flinchum teaches GEOL 4090 Environmental and Exploration Geophysics and its laboratory component GEOL 4091 . His work spans disciplines including geophysics, hydrology, and geochemistry, often employing field-based measurements and multi-scale data integration. He collaborates on projects involving seismic tomography, nuclear magnetic resonance (NMR), and geostatistical inversion techniques. Recent research highlights include studies on bedrock controls on Critical Zone architecture, fracture detection via seismic anisotropy, and groundwater characterization in fractured aquifers. His publications emphasize methodological advancements and interdisciplinary applications, such as combining remote sensing with geophysical data for hydrogeological modeling. Dr. Flinchum maintains an active personal homepage and is affiliated with Clemson's Environmental Engineering and Earth Sciences department. He has not listed any scientific awards in the provided text, but his work reflects significant contributions to environmental geophysics and subsurface science.
Dr. Brady Cox is a Professor in Civil and Environmental Engineering at Utah State University, with previous appointments at University of Texas and University of Arkansas. He holds a Ph.D. in Geotechnical Engineering from University of Texas (2006). Research specializes in geotechnical earthquake engineering, subsurface imaging, and in-situ site characterization for seismic design. Teaching includes foundation design, soil mechanics, soil/rock dynamics, and geotechnical earthquake engineering. Research focuses on experimental field testing combined with computational analyses for subsurface imaging, with applications in nuclear facilities, transportation infrastructure, and earthquake reconnaissance. Major awards include Presidential Early Career Award for Scientists and Engineers (2012), ASTM Geotechnical Testing Journal Award (2019), and ISSMGE Young Researcher Award (2017) Directs field deployments for seismic characterization globally, including Ecuador, Haiti, Japan, New Zealand, Peru, and Turkey. Manages NHERI@UTexas facility with large-scale mobile shakers. Recent publications advance surface wave inversion methods, uncertainty quantification, and 3D ambient noise tomography.
Eric Sandvol is a Curator's Distinguished Professor in the Department of Geological Sciences at the University of Missouri's College of Arts and Science. His research focuses on solid earth geophysics with specialization in regional-scale seismology, crustal structure imaging, and tectonic processes. He investigates mountain formation through seismic wave analysis, with extensive fieldwork in collision zones including eastern Turkey and the Tibetan Plateau. Professor Sandvol's research employs diverse techniques including seismic tomography, receiver function analysis, attenuation measurements, and shear wave splitting. His work aims to characterize lithospheric structure and deformation mechanisms in active tectonic regions. Current projects span multiple continents including studies of the Zagros Mountains, Anatolian Plateau, and Central Andean Plateau. His teaching portfolio includes Physical Geology, Geophysics, Earthquake Seismology, and Applied Numerical Analysis. Professor Sandvol maintains active research collaborations globally and directs graduate research in seismology and tectonics.
Einar Iversen is a Professor at the Department of Earth Science, University of Bergen (UiB), affiliated with the Geophysics research group. His work focuses on advanced computational methods in geophysics, including seismic modeling, wave propagation in anisotropic media, and dynamic ray tracing. He has contributed to developments in numerical simulation techniques for multiphysics processes in porous media and higher-order Hamilton-Jacobi perturbation theories. Research interests emphasize applications of mathematical physics to geophysical problems, such as full-waveform inversion, traveltime extrapolation, and geometrical spreading analysis. His studies often involve collaborations with institutions like NTNU, Rice University, and international researchers in seismology and applied mathematics. Key contributions include advancing ray-centred coordinate systems for dynamic ray tracing, improving finite-difference modeling accuracy in discontinuous media, and reconstructing metrics from boundary diffraction data. His work bridges theoretical developments with practical seismic data processing techniques, contributing to reservoir simulation and imaging technologies. Funding includes grants from the Research Council of Norway (e.g., projects 294404, 267769). His research outputs span journals like Geophysical Journal International , Computer Methods in Applied Mechanics and Engineering , and Geophysical Prospecting , reflecting a strong focus on computational and theoretical geophysics.
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).
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.
Hao Hu is an Assistant Professor in the Department of Geosciences at the University of Oklahoma's School of Geosciences (Mewbourne College of Earth and Energy). Previously, he served as a Senior Research Geophysicist at TGS and a Research Assistant Professor at the University of Houston. His office is located in the Sarkeys Energy Center, Room 754. Dr. Hu earned his Ph.D. in Geophysics from the Institute of Geology and Geophysics at the Chinese Academy of Sciences in Beijing and completed his undergraduate studies in Geophysics at Yunnan University in Kunming, China. His research focuses on using seismic signals and methods to address critical challenges in energy exploration and subsurface understanding. Specifically, he investigates how to balance climate change and energy consumption through exploration of geothermal/fossil resources and CO2 geological storage, solve scientific problems in understanding subsurface structures from shallow to deep, and conduct fundamental studies of seismic theory and algorithms. His work spans exploration of unconventional/conventional resources, understanding subsurface structures using seismic signals, and fundamental theory studies of seismic wave propagation, imaging, and inversion. Dr. Hu's recent publications demonstrate strong activity in seismic fracture characterization, imaging techniques, surface wave analysis, and machine learning applications in geophysics. His work shows a clear progression toward more sophisticated computational methods and interdisciplinary approaches combining traditional geophysics with modern machine learning techniques. Postdoctoral travel award (2019) Excellent Graduate student award (2014) Excellent paper award (2013) Dr. Hu has secured significant research funding from NSF, DOE, and industry partners including TGS and Aramco. His current projects include elastic full waveform inversion and imaging with TGS, and previously he was involved in research on heterogeneity signatures of mantle phase changes, seismic elastic double-beam characterization of faults/fractures for CO2 storage, and detecting fracture zones using convolutional neural networks. He has served as a reviewer and guest editor for over 80 manuscripts in professional journals including Geophysics, Geophysical Prospecting, and IEEE TGRS.
Robert Gurney is a Professor at the University of Reading, specializing in remote sensing, climate science, and environmental monitoring. His research focuses on snow dynamics, microwave emission modeling, soil moisture analysis, and atmospheric processes. He has contributed extensively to understanding snowpack evolution, Earth radiation budgets, and climate system modeling through numerical weather prediction. Key areas: Snow physics, microwave remote sensing, hydrology, and climate dynamics Notable work: Development of snow emission models, satellite calibration techniques, and LiDAR-based canopy analysis International collaborations: Co-authored studies with institutions globally, addressing Arctic snow microstructure and Antarctic ice dynamics His publications span journals like Journal of Climate , Remote Sensing of Environment , and Atmospheric Chemistry and Physics . Research emphasizes bridging observational data with climate models to improve environmental monitoring accuracy.
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.
Eran Treister is an Assistant Professor at the Ben Gurion University of the Negev in the Department of Computer Science. He completed his postdoctoral fellowship at the University of British Columbia (2014-2016) and earned his PhD from the Technion in 2014 under Prof. Irad Yavneh. His research spans computational science, numerical methods, and machine learning, with a focus on: Scalable algorithms for inverse problems Graph Neural Networks (GNNs) optimization Seismic and optical imaging via PDE solvers Low-precision deep learning acceleration Multilevel preconditioning techniques Recent work explores: Graph neural networks for PDEs with adaptive meshes Deep learning approaches to Helmholtz equation modeling 3D shape reconstruction via parametric level sets He serves on editorial boards: SIAM Journal on Scientific Computing (2024-) Copper Mountain Conference on Multigrid Methods (2025) International Conference on Machine Learning (ICML) as Area Chair (2025) Current teaching: Optimization Methods for Data Science (Spring 2025) Deep Learning Mini-Project (Winter 2024/5) Advanced Numerical Optimization (Spring 2025)
Debora Presti is a Full Professor in the Scientific-Disciplinary Sector GEO/10 "Solid Earth Geophysics" (Competition Sector 04/A4) at the University of Messina. She has been actively involved in geophysics research since her 2001 Bachelor's degree in Physics (University of Messina) and obtained her PhD in Geophysics for the Environment and Land from the same university in 2006. Author of 44 publications (SCOPUS, 2023) h-index: 21 with 1125 citations Published 4 volumes and 2 popular science articles Project Manager for INGV-DPC/S1 2014/2015 on seismogenic potential of Italy Research Focus: Seismotectonic analysis of Southern Italy, earthquake localization methodologies, focal mechanism calculation, seismic tomography for crust-upper mantle characterization, and tsunami risk assessment. Her work integrates geodynamic perspectives with stress field modeling. Public Engagement: Organized and participated in 10+ outreach activities (2019-2024) including school collaborations, public lectures, and scientific dissemination initiatives like "Collana editoriale La condivisione dei saperi".
