Maarten de Hoop is the Simons Chair and Professor of Computational and Applied Mathematics at Rice University, part of the George R. Brown School of Engineering. He holds visiting roles at MIT and the Chinese Academy of Sciences. His research spans seismic wave analysis, inverse problems, deep learning, and planetary seismology. He earned his Ph.D. in Technical Sciences from Delft University of Technology (1992), and earlier degrees from Utrecht University. Notable awards include the 1996 J. Clarence Karcher Award and 2001 Fellowship from the Institute of Physics. His work integrates computational mathematics with geophysics, focusing on extracting signal information from large datasets, developing novel inverse scattering methods, and applying deep learning to geoscience challenges. Recent studies include transformer models for in-context learning, semialgebraic neural networks, and seismic waveform foundation models like SeisLM. He leads the Geo-Mathematical Imaging Group, fostering interdisciplinary projects in planetary missions and data-driven discovery.
Farhad Pourkamali Anaraki is an Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Colorado Denver, part of the College of Liberal Arts and Sciences. His research focuses on Machine Learning, Data Science, and Computational Mathematics, with interdisciplinary applications in engineering, materials science, and uncertainty quantification. He specializes in developing data-driven methodologies for complex systems, including composite materials, seismic response prediction, and additive manufacturing. Key research themes include probabilistic neural networks, adaptive machine learning for sparse data, and computational techniques for engineering challenges. His work integrates advanced algorithms with domain-specific problems, such as optimizing material properties and enhancing predictive models in civil and mechanical engineering contexts. Despite his prolific publication record, no specific scientific awards or grants are explicitly listed in the provided information. He maintains an active profile in teaching and mentoring, though formal advisee details are not documented here.
John H. Shaw is the Harry C. Dudley Professor of Structural and Economic Geology and Professor of Environmental Science & Engineering at Harvard University's School of Engineering and Applied Sciences (SEAS). He specializes in structural geology, earthquake hazards, and geomechanics, with a focus on thrust fault systems, fault-related folding, and seismic risk assessment in regions like California and China. His research integrates field observations, 3D modeling, and geomechanical simulations to understand fault dynamics and their implications for societal safety. Shaw's work emphasizes quantitative analysis of fault geometry, slip rates, and rupture processes. Key projects include modeling ground deformation during earthquakes, assessing seismic hazards in fold-thrust belts, and investigating reservoir-induced seismicity. He leads the Structural Geology & Earth Resources Group and contributes to collaborative initiatives like the Southern California Earthquake Center (SCEC). His articles highlight advancements in fault system modeling, including 3D structural reconstructions, distinct element method applications, and coupling geomechanical models with fluid flow simulations. Recent studies focus on the Wilmington blind-thrust fault beneath Los Angeles, the Ventura fault system, and tectonic evolution of the Canadian Rockies and Qaidam Basin. Shaw's research also addresses interdisciplinary challenges such as stochastic velocity modeling for earthquake ground motion prediction and developing open-source tools like the SCEC Unified Community Velocity Model (UCVM). His work bridges fundamental structural geology with applied seismic hazard mitigation strategies.
Prof. Stefan Wiemer is the Director of the Swiss Seismological Service (SED) and holds the Chair of Seismology at ETH Zurich's Department of Earth and Planetary Science. He obtained a geophysics diploma from Ruhr University Bochum (1992) and a PhD from the University of Alaska Fairbanks (1997). His research focuses on earthquake processes, probabilistic hazard assessments, induced seismicity, and geothermal energy applications. He has published over 200 articles and supervised 30 PhD students, while also lecturing at the University of Bern. Key Roles: Member of ERC Grants Evaluation Panel (2015–present) Scientific Advisor to GFZ German Research Center for Geosciences (2021–present) President of Swiss Geophysical Commission Projects: Leader of Switzerland's national earthquake risk model Coordinator of EU-funded RISE (risk assessments) and DEEP (geothermal de-risking) projects Principal Investigator for ERC Synergy grant FEAR (BedrettoLab fault experiments) His research spans operational earthquake forecasting, CO2 storage monitoring, and the BedrettoLab underground experiments. He has won the Humboldt Foundation Fellowship (1997) and contributed to international initiatives like the Dutch Mining Effects Panel. Teaching includes ETH's Geophysics I course. Scientific contributions include developing seismic hazard models (ERM-CH23), real-time induced seismicity forecasting frameworks, and innovative techniques for fault dynamics analysis. His work integrates field data, laboratory experiments, and computational modeling to address both natural and human-induced seismic risks.
Professor Behzad Fatahi is a distinguished academic in Civil and Environmental Engineering at the University of Technology Sydney (UTS), specializing in geotechnical engineering, railway infrastructure, and sustainable construction technologies. With a career spanning over 16 years at UTS, he has served as Deputy Head of School - Teaching and Learning (2024-present), Head of Discipline (2020-2024), and School Research Coordinator (2012-2017). His research focuses on unsaturated soil mechanics , dynamic soil-structure interaction , and green infrastructure solutions . Academic Appointments : Professor (2024-present), Associate Professor (2017-2024), Senior Lecturer (2011-2017), Lecturer (2008-2011) Research Leadership : Supervised 21 PhD students to completion, developed groundbreaking techniques for landfill waste reuse and tyre-derived aggregates in railway construction His work on seismic resilience of LNG tanks and bioengineered soil stabilization has received international recognition, including the 2023 Best Research Paper Award at the Australasian Association for Engineering Education conference. Professor Fatahi's industry experience includes geotechnical engineering roles at Coffey International and SES Engineering prior to academia. Key Research Contributions : Developed green corridor models for railway lines using coupled flow-deformation equations Pioneered AI-integrated teaching frameworks for civil engineering education Advanced machine learning techniques for intelligent compaction and structural buckling analysis As a Category 1 supervisor , he mentors graduate researchers in Civil Engineering , Geomechanics , and Earthquake Engineering . His peer-reviewed work (>240 publications) demonstrates technical excellence and innovation across multiple geotechnical domains.
Mohammad Modarres is the Nicole J. Kim Eminent Professor at the University of Maryland within the A.J. Clark School of Engineering. He serves as Director of the Center for Risk and Reliability (CRR) and is a Professor of Nuclear Engineering in the Department of Mechanical Engineering. Dr. Modarres co-founded the world's first degree-granting graduate curriculum in reliability engineering at the University of Maryland and has established himself as an international expert in reliability and risk analysis. Dr. Modarres received his educational credentials from prestigious institutions: B.S. in Mechanical Engineering from Tehran Polytechnic M.S. in Mechanical Engineering from MIT M.S. and Ph.D. in Nuclear Engineering from MIT Dr. Modarres' research spans multiple critical areas in engineering risk and reliability. His primary interests include probabilistic risk assessment, uncertainty analysis, probabilistic physics of failure, and probabilistic fracture mechanics. His work encompasses both experimental investigations and sophisticated probabilistic model development. He has made significant contributions to materials degradation science, prognosis and health management systems, and nuclear safety analysis. His research bridges theoretical developments with practical applications in complex engineering systems, particularly in nuclear power and aerospace sectors. Analysis of Dr. Modarres' recent publications reveals a strong trend toward integrating advanced data science techniques with traditional reliability engineering. His work increasingly incorporates machine learning, deep learning, and entropy-based approaches to solve complex problems in prognostics and health management. There's a clear focus on multi-unit systems, particularly in nuclear power applications, and a growing emphasis on data-driven methodologies for remaining useful life estimation and failure prediction. His research maintains a strong foundation in probabilistic methods while embracing cutting-edge computational approaches. Dr. Modarres has received numerous prestigious honors and awards throughout his distinguished career: Nicole Y. Kim Eminent Professorship in Engineering Minta Martin Professorship in A.J. Clark School of Engineering University of Maryland Distinguished Scholar-Teacher (2019) Tommy Thompson Award for outstanding lifetime contributions to nuclear safety (American Nuclear Society) Fellow, American Nuclear Society Fellow, Institute of Electrical and Electronics Engineers (IEEE) Life Fellow of IEEE 1996 Maryland Inventor of the Year Award (in Information Sciences) FDA Commissioner Special Citation for Contributions to Risk Assessment Methods (2004) 2008 International Research Leadership Award (Society for Reliability Engineering, Quality and Operations Management) Honorary Doctorate from Universidad Da Vinci de Guatemala As the founding director of the Center for Risk and Reliability, Dr. Modarres has built a world-renowned program that has awarded over 500 Ph.D. and master's degrees. His research has been supported by significant grants from government agencies and industry partners, particularly in nuclear safety, aerospace reliability, and critical infrastructure protection. He has mentored numerous students who have gone on to become leaders in reliability engineering across various industries. His center collaborates extensively with the International Atomic Energy Agency (IAEA) and other international organizations on risk assessment methodologies. The Center for Risk and Reliability (CRR), which Dr. Modarres directs, serves as a hub for multidisciplinary research in risk and reliability engineering. The center has recently renovated its facilities to enhance collaboration among researchers from different engineering disciplines. CRR maintains strong partnerships with industry leaders including Amazon Lab126 (as evidenced by their collaboration on device durability research) and has been instrumental in advancing probabilistic risk assessment tools used in nuclear power plant safety analysis. The center hosts regular seminars, workshops, and international conferences, positioning itself at the forefront of risk and reliability research globally.
J.D. Jansen is a full Professor at Delft University of Technology (TU Delft) in the School of Civil Engineering & Geosciences, specializing in the Reservoir Engineering department. His research focuses on systems and control theory applied to subsurface flow mechanics, with applications in oil and gas production, geothermal energy, and induced seismicity. He actively contributes to academic networks through editorial roles, keynote presentations, and international collaborations. Active in computational geosciences (modeling, simulation, data analysis) Member of the Dutch Mining Council since 2016 Recipient of two Society of Petroleum Engineers awards in 2018 His work emphasizes optimization of subsurface processes, numerical modeling of porous materials, and seismicity mitigation. Recent publications highlight fault slip mechanics, benchmarking simulations, and stress pattern analysis in geothermal systems. Collaborations span geomechanics, reservoir engineering, and data assimilation domains. Scientific awards include: Distinguished Membership of the Society of Petroleum Engineers (2018) SPE Distinguished Achievement Award for Petroleum Engineering Faculty (2018) He leads research initiatives in induced seismicity, particularly in the Groningen Field, and contributes to model-based production optimization. Media engagements since 2020 demonstrate public outreach in energy transition topics.
Mike Willis is an Associate Professor of Cryospheric Science, Geodesy & Remote Sensing at the Department of Geosciences, Virginia Tech's College of Science. His research focuses on advancing remote sensing techniques to study Earth's cryosphere, coastal environments, and natural hazards. He leads projects on glacial dynamics, sea level rise impacts, landslide monitoring, and the application of GNSS and InSAR technologies. His work combines field instrumentation (e.g., OrangePi-GNSS systems) with satellite data analysis to address climate and geohazard challenges in polar regions and coastal communities. Education background: Not explicitly stated in provided text. Research interests include cryospheric science, geodetic monitoring, and environmental remote sensing applications. His lab group maintains a dedicated website at https://sites.google.com/view/4datvt/ . Key research themes include: Glacier and ice shelf mass balance Coastal vulnerability to sea level rise Disaster monitoring using GNSS-IR and InSAR High-resolution digital terrain modeling Recent projects highlight work in Greenland (landslide monitoring, sea level measurements), the Pacific Northwest (subduction zone hazards), and the Dominican Republic (coastal inundation modeling). His interdisciplinary approach bridges geophysical observations with computational geospatial analysis.
Peter Shearer is a Professor of Geophysics at the Institute of Geophysics and Planetary Physics , affiliated with the Scripps Institution of Oceanography at the University of California, San Diego. His research focuses on observational seismology, mantle discontinuities, earthquake location methods, source properties, and seismicity patterns. Education: B.S. in Geology and Geophysics, Yale University (1978) Ph.D. in Geophysics, UCSD Scripps Institution (1986) Research Interests Shearer's work uses large seismic datasets to study Earth's interior structure, particularly mantle transition zones, lithospheric discontinuities, and earthquake triggering mechanisms. His methods include waveform cross-correlation relocation, SS precursor analysis, and seismic wave scattering studies. Scientific Contributions His publications span 40+ years, with recent works analyzing aftershock migration, mantle discontinuities, and fault weakening. Key themes include Global mantle imaging using teleseismic data High-resolution fault zone seismicity Deep Earth structure from scattered waves Scientific Awards AGU Fellow (1999) SIO Outstanding Teaching Award (2003) Lehmann Medal (AGU, 2020) National Academy of Sciences member (2009)
Professor Saskia Goes is a Professor of Geophysics at Imperial College London's Department of Earth Science & Engineering within the Faculty of Engineering. She specializes in geodynamics, subduction dynamics, and seismic hazard analysis using numerical modeling and geophysical data interpretation. Her affiliations include the Dynamic Earth and Hazards groups at the Imperial Centre for Geohazards Dynamics. Education: PhD in Geophysics from UC Santa Cruz (1995), Drs (BSc/MSc equivalent) from Utrecht University (1990). Prior roles include SNF Professor of Tectonophysics at ETH Zurich (2003-2005), Visiting Assistant Professor at the University of Michigan (1995-1996), and postdoctoral research at Utrecht University (1996-1999). Research focuses on mantle dynamics, lithosphere structure, and subduction zone processes. Her work integrates seismic imaging, machine learning, and numerical simulations to study phenomena like slab dynamics, mantle plumes, and fluid migration. Key themes include the interplay between tectonic forces and geochemical processes in continental and oceanic settings. Publications emphasize subduction zone processes, seismic tomography, and induced seismicity. She has led projects like the VoiLA initiative studying volatile recycling in the Lesser Antilles. Awards and recognition include invited lectures at leading conferences (AGU, EGU) and universities worldwide. Teaching includes undergraduate geodynamics, geohazards courses, and advanced MSc modeling modules. Active in promoting geohazard research through interdisciplinary collaboration and public engagement.
John F. Rudge is a Professor of Geodynamics at the Bullard Laboratories, Department of Earth Sciences, University of Cambridge , and a Fellow and Dean of Trinity College. His research focuses on the dynamics of Earth's interior, including mantle convection, magma transport, and the geochemical evolution of the planet. He employs continuum mechanics, numerical analysis, and statistical methods to address questions about melt dynamics, mantle heterogeneity, and the surface expressions of geophysical processes. Education includes a mathematics undergraduate degree and a PhD in Earth Sciences and Applied Mathematics from Cambridge. He held postdoctoral positions at institutions like ETH Zürich, Yale, and Columbia University before joining Cambridge as a University Lecturer in 2010 and being promoted to Professor in 2022. Key research areas include: Transport of melts and volatiles in the mantle Evolution of Earth's interior from accretion to present Dynamic topography and inner core dynamics Publications span over two decades, with recent works addressing melt rheology, mantle mineralogy, and interdisciplinary applications in oncology. He has supervised numerous PhD students and postdocs, including David Rees Jones, Isarapong Eksinchol, and Laura Alisic. Awards include the Philip Leverhulme Prize and Geological Society President’s Award. Teaching responsibilities include courses on geophysics, magma dynamics, and supervisions in Natural Sciences at Trinity College. Research tools include finite element modeling and collaborations with computational scientists.
Prof. Dr. Arwen Deuss is a full Professor at the Faculty of Geosciences, Utrecht University , specializing in Seismology . Her research focuses on mapping Earth's deep interior using global seismology, with particular emphasis on mantle discontinuities, core structure, and whole Earth oscillations. She integrates seismological data with mineral physics, geodynamic modeling, and geochemistry to understand planetary evolution. Key research areas: Earth's Deep Interior, Global Seismology, Mantle Discontinuities, Inner Core Anisotropy Teaches courses in Theoretical Seismology, Earth Systems, and Planetary Interior Structure Developed open-source tools like FrosPy for normal mode analysis Her recent work explores 3D mantle attenuation, tilted transverse isotropy in the inner core, and seismic wave coupling. She leads projects connecting seismic tomography with geodynamic processes and maintains active collaborations in international seismological research.
Matej Varga is a Scientific Assistant and Postdoctoral Researcher at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, working in the Geosensors and Engineering Geodesy group under Prof. Andreas Wieser since 2021. His research spans geometrical geodesy, physical geodesy, and satellite geodesy, with applications in both theoretical and practical domains. Dr. Varga's research interests focus on spatial, temporal and spectral analysis of geodetic data, with particular expertise in geodetic reference systems and frames, gravity and geomagnetic field modeling at all temporal and spatial scales, and multi-GNSS multi-frequency positioning and monitoring. His work integrates geometrical and physical aspects of geodesy to address complex Earth observation challenges, particularly in infrastructure monitoring and geophysical applications. His recent publications demonstrate a strong trend toward high-precision geodetic applications for major scientific infrastructure, most notably the Future Circular Collider project, alongside important contributions to earthquake impact analysis, geomagnetic network development, and gravity field modeling. His research bridges traditional geodetic methods with modern computational approaches, including machine learning applications for point cloud registration. Dr. Varga is actively involved in the GSEG research group at ETH Zurich, contributing to the development of geodetic infrastructure and reference systems. His work has practical applications in infrastructure monitoring, earthquake analysis, and scientific projects requiring extreme geodetic precision.
Daniel Kifer is a Professor in the Computer Science and Engineering department at Pennsylvania State University, with affiliations to the Huck Institutes of the Life Sciences. His work bridges computer science, privacy-preserving machine learning, and geoscience applications. With over 10,000 citations and a high h-index, he focuses on methods to unify theoretical and applied research. Research Interests: Differential Privacy, Privacy-Preserving Machine Learning, Physics-Informed Neural Networks, Landslide Prediction, and Formal Verification of Privacy Systems. Recent projects include grants from the National Science Foundation: SaTC: CORE: Small (2024): privacy-preserving user data embedding in machine learning pipelines. SaTC: CORE: Medium (2017-2023): formal methods for differential privacy and accuracy optimization. His research outputs span domains like geoscience, database systems, and policy analysis, emphasizing precision and scalability of privacy-preserving algorithms.
Carlos Torres-Verdín is a Professor and holds the Brian James Jennings Memorial Endowed Chair and Zarrow Centennial Professorship in Petroleum Engineering at The University of Texas at Austin's Hildebrand Department of Petroleum and Geosystems Engineering, within the Jackson School of Geosciences. He earned a B.S. in Geophysical Engineering from the National Polytechnic Institute of México (1983), an M.Sc. in Electrical Engineering from UT Austin (1985), and a Ph.D. in Engineering Geoscience from UC Berkeley (1991). His research focuses on petrophysical and geophysical characterization of subsurface regions using well logging, seismic, and multi-physics data. Key areas include borehole geophysics, rock physics, reservoir characterization, and hydraulic fracturing. He has received numerous accolades, including the 2020 Virgil Kauffman Gold Medal (SEG) and the 2017 Conrad Schlumberger Award (EAGE). His work integrates advanced numerical methods and machine learning to enhance reservoir evaluation and CO2 sequestration monitoring. Torres-Verdín teaches courses such as PGE 358 (Formation Evaluation) and directs the Formation Evaluation Joint Industry Research Consortium, fostering industry-academia collaboration. Awards & Honors 2020 Virgil Kauffman Gold Medal, SEG 2019 Anthony F. Lucas Gold Medal, SPE 2017 Conrad Schlumberger Award, EAGE 2017 Lockheed Martin Excellence in Engineering Teaching Award Research & Teaching His recent studies address challenges in unconventional reservoirs, fluid dynamics in nanoporous media, and real-time geosteering. He has published over 150 peer-reviewed articles, emphasizing innovation in inversion techniques, NMR applications, and reservoir simulation.
