جست‌وجوی استاد و پژوهشگر

• Geophysics
• Marine Geophysics
• Geothermal Energy
• +۳ مورد دیگر

Ketil Hokstad serves as a Professor within the Department of Geosciences at the Norwegian University of Science and Technology (NTNU), where he contributes to advanced research in geophysical exploration and subsurface characterization. His academic role involves developing computational methodologies for interpreting complex geophysical datasets in energy resource assessment and environmental studies. Hokstad's research spans marine geophysics, geothermal systems, and geophysical inversion techniques with emphasis on thermal properties-seismic velocity relationships, crustal heat production modeling, and Arctic subsurface characterization. His work integrates gravity, magnetic, and electromagnetic data to solve geological problems in challenging environments like the Barents Sea, contributing significantly to sustainable energy exploration methodologies. Analysis of Hokstad's 2016-2018 publications reveals a concentrated focus on innovative marine electromagnetic inversion approaches and thermal-geophysical correlations. His collaborative research demonstrates consistent advancement in subsurface imaging techniques for Arctic regions, with strong interdisciplinary connections between theoretical geophysics, computational modeling, and practical energy resource management applications.

• Spatio-temporal statistics
• Computational statistics
• Earth sciences
• +۵ مورد دیگر

Jo Eidsvik is a Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU). He holds a MSc in applied mathematics from the University of Oslo (1997) and a PhD from NTNU (2003). His research focuses on spatio-temporal statistics, computational statistics, and their applications in Earth sciences, including geophysics and oceanography. He leads projects like the Center for Geophysical Forecasting (SFI-CGF) and Maritime Autonomous Sampling and Control (MASCOT). Eidsvik has supervised over 60 graduate students and is an associate editor for *Mathematical Geosciences* and *Statistics and Computing*. His work bridges theory and practice, addressing challenges in data assimilation, value of information analysis, and autonomous systems for environmental monitoring. **Education & Background**: MSc (University of Oslo), PhD (NTNU). Industry experience includes roles at Statoil and the Norwegian Defense Research Establishment. Visiting scholar at Stanford University, Duke University, and SAMSI. **Research Themes**: Spatio-temporal modeling, machine learning for irregular time series, and decision analysis in geological contexts. Key projects include geophysical forecasting, CO₂ storage monitoring, and autonomous underwater vehicle (AUV) sampling strategies. His book *Value of Information in the Earth Sciences* (Cambridge Press) synthesizes methodologies for optimizing data-driven decisions. **Awards & Recognition**: While no specific awards are listed, his editorial roles and project leadership reflect scholarly impact. His work emphasizes interdisciplinary collaboration, with applications in climate science, energy systems, and robotics. **Advising & Grants**: Supervised 60+ MSc students and 12 PhD students. Active in NTNU’s Physics and Mathematics program and Industrial Mathematics initiatives. Projects funded by SFI, EU, and industry partners. **Teams & Labs**: Involved with NTNU’s GEOPARD (data assimilation in geological models), Havvarsel (oceanographic data assimilation), and ML4ITS (machine learning for irregular time series). Collaborates with international institutions like Stanford and Duke.

• Seismology
• Geophysics
• Seismic Event Discrimination
• +۳ مورد دیگر

Timo Tiira is a Researcher at the Institute of Seismology, University of Helsinki , and Supervisor for the Doctoral Programme in Geosciences. His work focuses on seismology and geophysics, particularly seismic event discrimination using Finnish station networks. PhD in Geophysics (Discrimination of seismic events using Finnish station network) MSc in Physics (Seismisten signaalien havaitseminen Hutt&Murdock-detektorin ja digitaalisen suodatuksen avulla) Research Interests: Seismology and geophysics with emphasis on seismic event discrimination, crustal structure analysis, ambient noise tomography, and seismic hazard assessment for critical infrastructure like nuclear power plants. Key Contributions: Leadership in establishing the Finnish Seismic Instrument Pool (FINNSIP) , development of 3D shear wave velocity models for Helsinki, and automated seismic event classification systems. Collaborative work spans Finland, Russia, and Ukraine with 103+ activities and 187+ research outputs. Scientific Awards: Recipient of Best GFF Articles award (2014) Projects: Active in SCARCE: Scandinavian Arctic Continental Experiment (2023–2028) and Monitoring the monitoring (2020–2025). Key roles in seismic networks for geothermal and nuclear facility monitoring.

Scott Keatingمشاهده پروفایل

مدرس

• Seismic Inversion Methodology
• Uncertainty Quantification
• Numerical Optimization
• +۴ مورد دیگر

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.

Josselin Garnierمشاهده پروفایل

استاد

• Waves in Random Media
• Imaging in Complex Media
• Uncertainty Quantification
• +۶ مورد دیگر

Josselin Garnier is a Professor at Ecole Polytechnique, France, affiliated with the Center for Applied Mathematics. His research focuses on wave propagation in random media, imaging techniques, uncertainty quantification, and inverse problems. He has authored/co-authored multiple influential books including Wave Propagation and Time Reversal in Randomly Layered Media (2007) and Multi-Wave Medical Imaging (2017). His work bridges mathematical theory with applications in optics, seismology, and nuclear engineering. Research interests emphasize stochastic dynamics, nonlinear wave interactions, and Bayesian methods for parameter estimation. He leads a large research group with over 30 PhD students, many working on interdisciplinary projects such as thermalization in optical fibers and seismic fragility analysis. His contributions include developing reduced order modeling approaches for inverse problems and advancing methodologies for uncertainty quantification in nuclear reactor simulations. Key collaborations involve institutions like the French Mathematical Society and the Ciroquo Research & Industry Consortium. His educational contributions include the widely used All-in-one Mathematics textbook series for undergraduate students.

• Geophysics
• Seismic surface waves
• Wave propagation
• +۴ مورد دیگر

L.V. Socco is a Professor in Applied Geophysics and Petrophysics within the Civil Engineering & Geosciences faculty. With an ORCID profile (0000-0001-8830-9050), Socco maintains active research in seismic wave analysis and near-surface geophysics. Socco's research focuses on seismic surface wave analysis , particularly in S-wave and P-wave velocity modeling. The fingerprint data reveals strong expertise in wave propagation (78%), velocity modeling (71%), and surface wave analysis (90%), with additional specialization in seismic tomography and resistivity modeling. Research spans both theoretical method development and field applications, including Middle East geological settings. Recent publications (2022-2024) demonstrate methodological innovations in seismic data processing, with particular emphasis on semi-automatic velocity estimation techniques and comparison of tomography approaches. The work shows consistent progression toward more efficient and accurate near-surface characterization methods. Socco has received significant recognition including: Conrad Schlumberger Award (2014) for technical advancement in surface inversion Outstanding Educator Award (2019) recognizing contributions to geophysics education With seven research outputs in the last five years including journal articles and preprints, Socco maintains active collaboration networks across international research teams. The work shows strong integration of theoretical wave propagation concepts with practical field applications.

• Environmental Radioactivity
• Geoneutrino Physics
• Geophysics
• +۳ مورد دیگر

Virginia Strati is an Assistant Professor in the Department of Physics and Earth Sciences at the University of Ferrara, Italy. Her research focuses on environmental radioactivity, geoneutrino physics, and geophysical modeling. She holds a BSc (2010) and MSc (2012) in Geosciences from the University of Siena, and a PhD in Physics (2016) from the University of Ferrara. Key affiliations include collaborations with the Borexino and JUNO neutrino experiments, and contributions to airborne gamma-ray spectroscopy for environmental monitoring. Her work integrates nuclear physics, geology, and engineering to address topics like Earth's radiogenic heat, soil moisture dynamics, and public radiation exposure assessment. She has developed methodologies for uranium distribution mapping, radon monitoring in dwellings, and educational tools for teaching environmental radioactivity. Research highlights include predicting geoneutrino signals for the SNO+ and JUNO detectors, analyzing cosmic radiation effects on airborne surveys, and designing purification systems for liquid scintillator detectors. She has also pioneered interdisciplinary education programs combining gamma spectroscopy with computer science for K-12 students. Her projects often involve international collaborations with institutions like the Hellenic Centre of Marine Research and the Chinese Academy of Sciences. Ongoing work focuses on refining crustal models for neutrino experiments and advancing precision agriculture through radiometric soil monitoring.

• Seismology
• Glaciology
• Geophysics
• +۳ مورد دیگر

Dr. Pascal Edme is a Senior Scientist at the Swiss Seismological Service (SED), part of ETH Zürich. His research focuses on advanced seismic monitoring technologies, particularly Distributed Acoustic Sensing (DAS), applied to glaciology, slope instability, and avalanche dynamics. He leads projects leveraging telecommunication infrastructure for environmental hazard detection and collaborates internationally on geophysical challenges like Martian soil analysis via the InSight mission. His work emphasizes automation, machine learning integration, and high-resolution subsurface imaging. Affiliations: Swiss Seismological Service (SED), ETH Zürich Key Technologies: DAS, Unsupervised Clustering, Semi-Supervised Learning, 3D Seismic Tomography Research interests span cryoseismology, near-surface geophysical characterization, and the development of robust geophysical instruments. Notable contributions include avalanche detection frameworks, slope failure monitoring systems, and high-fidelity seismic source inversion techniques. His studies often bridge field deployments with computational advancements, addressing both Earth and planetary science challenges. Publications highlight innovative applications of DAS across diverse contexts—from monitoring Alpine glaciers to analyzing Mars' subsurface. Collaborations with institutions like BedrettoLab and the Geo-INQUIRE project underscore his commitment to standardizing geophysical data practices and fostering interdisciplinary research.

Lorena G Moscardelliمشاهده پروفایل

استاد

• Subsurface Geology
• Salt Tectonics
• Seismic Geomorphology
• +۵ مورد دیگر

Lorena G Moscardelli is the Director of the Bureau of Economic Geology and State Geologist of Texas at The University of Texas at Austin's Jackson School of Geosciences. She holds the Edwin Allday Endowed Chair in Subsurface Geology. Her roles include co-chairing the executive council for the Kay Bailey Hutchison Energy Center and advising the NCS2030 program in Norway. With over 15 years of industry and academic experience, she co-founded the Quantitative Clastic Laboratory (QCL) in 2007. Education: B.S. in Geological Engineering from Central University of Venezuela; Ph.D. in Geological Sciences from The University of Texas at Austin. Her research focuses on subsurface geology, salt tectonics, and energy transition technologies. She bridges academia and industry through projects like the State of Texas Advanced Resource Recovery (STARR) program. Research interests include hydrogen storage in salt caverns, CO2 sequestration via enhanced oil recovery, and paleoenvironmental studies of Gulf Coast sedimentary systems. Her work emphasizes safe, efficient subsurface utilization for renewable and conventional energy systems. Notable contributions include developing methodologies for assessing salt structure stability, advancing understanding of Jurassic redox cycles in the North Sea, and pioneering geophysical tools for subsurface storage capacity evaluation. She has advised multiple postdoctoral researchers and led large-scale energy infrastructure projects. Labs/Teams: Co-directs the Quantitative Clastic Laboratory (QCL), part of the Bureau of Economic Geology's energy transition initiatives. Active in interdisciplinary collaborations through the IGCP-640 S4SLIDE program studying submarine landslides.

Bradley Carrمشاهده پروفایل

پژوهشگر

• Near-Surface Geophysics
• Hydrogeology
• Critical Zone Science
• +۳ مورد دیگر

Bradley Carr is an Associate Research Scientist in the Department of Geology and Geophysics at the University of Wyoming (UW). He also serves as the Director of the UW Near-Surface Geophysics Instrument Center (UWNSG) and Facility Manager of the Wyoming Center for Environmental Hydrology & Geophysics (WyCEHG) FINSE group. His research focuses on near-surface geophysical methodologies, groundwater systems, and critical zone processes in mountainous and hydrothermal environments. Key Roles and Responsibilities: Manages ~$2.6M in geophysical equipment and services through UWNSG. Oversees borehole logging and materials testing in the Heller Lab. Directs hydrogeophysical projects in Laramie, WY, and Yellowstone National Park. Research Interests: Integrated use of seismic, electromagnetic, and geophysical logging techniques. Groundwater recharge patterns in mountain headwater systems. Environmental geophysics applications in contaminated aquifers and hydrothermal systems. Education and Experience: Postdoctoral Research Scientist at Oak Ridge National Lab (1996–1999) and University of Saskatchewan (1993–1996). Industry experience as Senior Geophysicist at Advanced Geosciences and Geophex, Inc. Teaching: Instructor for GEOL 4717-04 Summer Field Geology Course: Geophysics. Grants and Projects: Projects include critical zone studies in the Laramie Range and Yellowstone, funded through collaborative federal and institutional grants. Active projects focus on subsurface connectivity, weathering dynamics, and geothermal fluid pathways. Labs/Teams: WyCEHG FINSE hydrogeophysics group. UWNSG instrumentation center.

Philip Ballمشاهده پروفایل

پژوهشگر ارشد

• Plate Tectonics
• Rifted Margins
• Petroleum Systems
• +۲ مورد دیگر

Philip Ball is an Honorary Senior Research Fellow in the Department of Geography, Geology and the Environment at Keele University's School of Life Sciences, with dual expertise in academia and industry as a Senior New Ventures Geologist at TOTAL E&P Americas. He holds a PhD in Earth Sciences from Royal Holloway University, an MSc in Basin Evolution, and a BSc in Geology and History from Keele. His research bridges plate tectonics, rifted margins, petroleum systems, and sustainable energy transitions, with focus areas including: Geodynamics of continental rifting Hydrothermal systems and fluid-rock interactions Geothermal resource assessment Low-carbon energy innovation Dr. Ball has contributed to numerous pioneering studies on geothermal potential, natural hydrogen systems, and Red Sea basin evolution. His industry collaborations enhance applied geological solutions for energy transition challenges.

Roel Sniederمشاهده پروفایل

استاد

• Geophysics
• Seismic Interferometry
• STEM Education
• +۳ مورد دیگر

Roel Snieder is the W.M. Keck Distinguished Professor of Professional Development Education at the Colorado School of Mines. His primary affiliation is with the university's academic affairs division, focusing on STEM education, geophysics, and professional ethics. He holds an office in Hill Hall 206A and can be contacted at rsnieder@mines.edu. Snieder's research spans geophysical methodologies, including seismic interferometry, Marchenko imaging, and computational geophysics. He is also deeply engaged in pedagogical innovation, emphasizing ethical practices and emotional intelligence in STEM education. His work integrates advanced mathematical approaches with practical applications in wavefield reconstruction and subsurface imaging. Notable contributions include the development of Marchenko-based imaging techniques and the exploration of pedagogical love in academia. His books, such as The Art of Being a Scientist and The Joy of Science , reflect his commitment to fostering scientific curiosity and ethical professionalism. His recent publications highlight advancements in compressive sensing for seismic data, energy partitioning in elastic media, and the ethical dimensions of engineering education. Snieder's interdisciplinary approach bridges geophysics with educational theory, influencing both technical and humanistic aspects of academic practice.

Kevin M. Wardمشاهده پروفایل

استادیار

• Observational Seismology
• Continental Tectonics
• Seismic Imaging
• +۴ مورد دیگر

Dr. Kevin M. Ward is an Assistant Professor in the Department of Geology and Geological Engineering at South Dakota School of Mines & Technology (SDSMT). With a Ph.D. from the University of Arizona (2016), his research focuses on observational seismology and continental tectonics, particularly in active orogenic systems and subduction zones. He teaches courses in geophysics, volcanology, and tectonics, including upcoming GEOL 308 Geological Disasters and Society and GEOL 737 Global Seismology . Education : Ph.D., University of Arizona (2016) His research employs seismic imaging techniques to study magmatic systems, subduction zone dynamics, and lithospheric evolution. Recent projects include high-resolution imaging across the Cascadia subduction zone (NSF-funded) and Yellowstone's hydrothermal systems. Current research trends span subduction zone segmentation , magma reservoir characterization , and continental lithospheric deformation , utilizing ambient noise tomography, receiver function analysis, and joint inversion methods. His work has been published in leading journals like Geophysical Research Letters and Journal of Geophysical Research: Solid Earth . Scientific Awards : NSF Geophysics Award #1946396 (2020-2024) for Cascadia2020 project Students : Mentors graduate and undergraduate researchers, including Spencer Larsen (M.S. 2022) and Hannah Duncan (B.S. 2019), with opportunities for fieldwork in Alaska, Yellowstone, and Cascadia.

• Seismic Data Processing
• Signal Processing
• Microseismic Monitoring
• +۲ مورد دیگر

Jubran Akram is an Adjunct Assistant Professor in the Department of Earth, Energy, and Environment within the Faculty of Science at the University of Calgary. His research focuses on advanced geophysical signal processing techniques. Primary research areas include: Microseismic data processing and event detection Wavefield separation and noise suppression methods Machine learning applications in seismic analysis Velocity modeling and hypocenter localization His publications (2018-2024) demonstrate consistent focus on developing computational methods for seismic data enhancement, including machine learning approaches for phase picking, noise reduction, velocity calibration, and event location.

Toshiro Tanimotoمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earth Structure
• +۳ مورد دیگر

Toshiro Tanimoto is a Distinguished Professor in the Department of Earth Science at the University of California, Santa Barbara. His research focuses on seismology, with a particular emphasis on understanding Earth's deep structure, near-surface environments, and interactions between seismic waves and atmospheric phenomena. His work includes studies of microseisms, hurricanes' seismic signatures, and seasonal changes in permafrost regions. He has contributed to advancements in seismic noise analysis, atmospheric-solid Earth coupling, and the application of ring laser and distributed acoustic sensing technologies. Key research interests include the excitation mechanisms of seismic waves by natural phenomena (e.g., hurricanes, volcanic eruptions), the dynamics of Earth's oscillations, and the development of innovative methods for monitoring subsurface structures through co-located sensor networks. His publications span topics from theoretical seismology to applied geophysical instrumentation, reflecting his interdisciplinary approach to Earth science challenges. Notable contributions include studies on the Hunga Tonga eruption's global seismic impacts, Alaska permafrost dynamics, and the use of Sorrell's method for shallow structure inversion. His work integrates field observations, theoretical models, and advanced data analysis techniques to advance our understanding of Earth's physical processes.