جستجوی استاد راهنمای دانشگاهی

• Earthquake Seismology
• Seismic Tomography
• Subduction Zone Processes
• +۴ مورد دیگر

Andreas Rietbrock is Professor and Director of the Geophysical Institute (GPI) at the Karlsruhe Institute of Technology (KIT) , Germany, where he also serves as Dean of Studies for Geophysics . He is a leading expert in earthquake seismology, seismic tomography, and subduction zone dynamics, with a strong focus on integrating advanced observational techniques and computational methods. Education: While specific degrees are not listed in the provided text, his extensive publication record and leadership roles indicate advanced academic training in geophysics and seismology. Research Interests: His work spans a wide range of topics including: Seismic imaging of subduction zones (e.g., Nazca, Lesser Antilles) Earthquake rupture dynamics and fault mechanics Volcanic seismology and magma transport Full waveform inversion and AI-enhanced seismic analysis Distributed Acoustic Sensing (DAS) applications Induced seismicity and reservoir monitoring Research Trends: His recent publications (2022–2025) emphasize the use of dense seismic arrays, AI-based data processing, and multi-method tomography to study complex tectonic environments. Key themes include high-resolution imaging of slab structures, fluid migration in subduction zones, and the integration of DAS and machine learning for seismic monitoring. Scientific Contributions: Andreas has led major international projects such as the ANTICS Large-N deployment in Albania and the VoiLA project in the Lesser Antilles. He has published extensively in top-tier journals like Nature , Geophysical Research Letters , and Journal of Geophysical Research , with over 200 peer-reviewed articles. Teaching and Supervision: He teaches courses such as "Introduction to Geophysics II", "Seismology", and "Current Topics in Seismology and Risk". While specific student names are not listed, his role as Dean and principal investigator on numerous projects indicates active supervision of graduate students and postdocs. Labs and Teams: He leads the seismology group at GPI, coordinating large-scale deployments of seismic instruments, including ocean-bottom seismometers and fiber-optic DAS systems. His team collaborates globally with institutions in Europe, South America, and Asia.

Rahul Sarkarمشاهده پروفایل

پژوهشگر ارشد

• Quantum Information Theory
• Microlocal Analysis
• Machine Learning
• +۳ مورد دیگر

Rahul Sarkar is a Postdoctoral Fellow at the University of California, Berkeley, affiliated with the Department of Mathematics . He was previously a Ph.D. student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, graduating in 2022 under the advisement of Biondo Biondi and András Vasy. Research Interests : Quantum information theory, inverse problems, machine learning, microlocal analysis, and numerical methods for PDEs. Scientific Contributions : Developed novel quantum computing algorithms and numerical schemes for geophysical imaging, with applications in seismic tomography and quantum signal processing. Teaching : Taught courses at Stanford including Introduction to Quantum Computing and 3D Seismic Imaging , with roles as instructor and course assistant. Awards : Schlumberger Innovation Fellowship (2019-2020). His work bridges mathematical analysis and quantum computation , with a focus on solving real-world problems through interdisciplinary approaches. He has collaborated with institutions like IBM and Schlumberger to apply quantum algorithms to geoscience and financial optimization.

Jeroen Trompمشاهده پروفایل

استاد

• Seismology
• Computational Geophysics
• Earth Imaging
• +۵ مورد دیگر

Jeroen Tromp serves as the Blair Professor of Geology and Professor of Geosciences and Applied and Computational Mathematics at Princeton University, where he also directs the Princeton Institute for Computational Science and Engineering (PICSciE). His work centers on theoretical and computational seismology with applications across Earth and planetary sciences. His research interests focus on imaging Earth's interior through advanced computational techniques. Key areas include surface waves, free oscillations, body waves, seismic tomography, numerical simulations of 3-D wave propagation, and seismic hazard assessment. His group develops open-source software for acoustic, elastic and poroelastic wave propagation, addressing problems in exploration geophysics, regional and global seismology, and helioseismology. Current research trends show strong emphasis on Mars seismology (InSight mission), iron spin crossover in the lower mantle, tilted transverse isotropy in Earth's inner core, and crosstalk-free waveform inversion techniques across multiple scales. Tromp actively mentors graduate students and leads collaborative projects involving seismic wavefield imaging across planetary bodies. His group maintains strong connections with NASA's InSight mission and develops computational frameworks for global centroid moment tensor inversions. The research team operates within the Department of Geosciences, leveraging high-performance computing resources through PICSciE to tackle large-scale inverse problems in seismology.

Biondo Biondiمشاهده پروفایل

استاد

• Seismic Imaging
• Geophysics
• Computational Geosciences
• +۶ مورد دیگر

Biondo Biondi is the Barney and Estelle Morris Professor of Geophysics at Stanford University, affiliated with the School of Earth Sciences. He leads the Stanford Exploration Project and holds roles such as Chair of the Geophysics Department (2019–2022) and Director of the Stanford Earth Imaging Project (1998–Present). His research focuses on seismic imaging algorithms, computational geophysics, and fiber-optic sensing technologies. He earned his Ph.D. (1990), M.S. (1987) in Geophysics from Stanford, and M.Sc. in Electrical Engineering from Politecnico di Milano (1984). Dr. Biondi's research emphasizes improving seismic data imaging through advanced computational methods. He pioneered urban seismic monitoring using preexisting telecommunication fibers, enabling cost-effective subsurface analysis. His work integrates machine learning and high-performance computing to address challenges in reservoir imaging, CO2 monitoring, and infrastructure health. Key research areas include distributed acoustic sensing (DAS), ambient noise tomography, and inverse theory applications. He has authored over 180 publications and received awards like the SEG Honorable Mention (2019, 2016, 2009) and the Distinguished Instructor Short Course (2007). His teaching includes courses like 3-D Seismic Imaging and Reflection Seismology, and he advises graduate students in geophysics and computational science. Collaborations span industry (e.g., Schlumberger, Saudi Aramco) and global institutions. Biondi’s administrative contributions include co-directing the Stanford Earth Sciences Algorithms and Architectures Initiative and serving on editorial boards like the SIAM Journal on Imaging Sciences. His lab’s innovations bridge geophysics with emerging technologies, advancing both academia and industry applications in energy, environment, and urban infrastructure.

• Global Seismology
• Earth's Deep Interior
• Mantle Discontinuities
• +۴ مورد دیگر

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.

• Wave Propagation
• Seismic Data Modelling and Inversion
• Exploration Geophysics
• +۳ مورد دیگر

Prof. Dr. Johan Robertsson is a Full Professor of Applied Geophysics and Head of the Exploration and Environmental Geophysics (EEG) Group at ETH Zürich's Department of Earth and Planetary Sciences. He holds a MSc from Uppsala University (1991) and a PhD in Geophysics from Rice University (1994). Before joining ETH in 2012, he spent 15 years at Schlumberger in R&D roles, leading projects that revolutionized marine seismic data acquisition. His research focuses on wave propagation physics, seismic data inversion, and applications in exploration and environmental geophysics. He pioneered the use of Distributed Acoustic Sensing (DAS) for landslide monitoring and contributed to Mars seismology via the InSight mission. Education: MSc in Engineering Physics, Uppsala University (1991) PhD in Geophysics, Rice University (1994) Research Interests: Seismic wavefield modeling and inversion Planetary seismology (Mars, Moon) Acoustic metamaterials and wave control Environmental geohazard monitoring Marine seismic acquisition techniques His work on the Martian soil properties using InSight data and lunar exploration instrumentation (ALGEP) reflects his cross-disciplinary approach. He holds 90+ patents and has secured prestigious grants like the ERC Advanced Grant. Awards: EAGE Guido Bonarelli Award (2020) ERC Advanced Grant MATRIX (2017) EAGE Conrad Schlumberger Award (2018) Grants & Advising: Led the MATRIX ERC project advancing seismic imaging algorithms Advised over 20 PhD/MS students (names not listed) Secured Schlumberger's largest R&D project in marine seismic sampling His EEG Group operates cutting-edge labs for immersive wave experimentation and planetary geophysical instrumentation. Current initiatives include lunar subsurface exploration and acoustic invisibility experiments.

David Al-Attarمشاهده پروفایل

استاد

• Theoretical geophysics
• Computational geophysics
• Continuum mechanics
• +۷ مورد دیگر

David Al-Attar is a Professor at the University of Cambridge's Department of Earth Sciences, actively involved in theoretical and computational geophysics research. He serves as a supervisor within the Cambridge NERC Doctoral Landscape Awards (Training Partnerships) program, particularly in the CREATES initiative focusing on climate and environmental science. Education: While specific educational details aren't provided in the text, his extensive publication record and professorial position at Cambridge indicate advanced training in geophysics and applied mathematics. Research Interests: Professor Al-Attar's work spans several interconnected areas within geophysics. His primary focus includes theoretical and computational problems in geophysics, with particular emphasis on continuum mechanics as applied to Earth systems. He develops new physical and mathematical theories for understanding Earth processes, including rigorous function space methods for inverse problems and uncertainty quantification. His sea level change research aims to constrain ice sheet evolution during the last glacial period to better understand modern contributions to sea level rise. Additionally, he investigates solid Earth dynamics including seismic free oscillations, body tides, and Earth rotation, contributing to our understanding of deep Earth structure and mantle dynamics. Research Themes: His publications demonstrate expertise in adjoint methods, glacial isostatic adjustment, mantle viscosity, planetary seismology, and computational methods for geophysical problems. Recent work emphasizes 3-D Earth modeling, sensitivity analysis, and the integration of satellite observations with theoretical models. Current Projects: Potential projects for students include inverse problems related to deglacial sea level change with focus on uncertainty quantification, modern sea level monitoring using satellite data, and solid Earth dynamics particularly regarding outer core viscosity in tidal and rotational dynamics. Contact: He can be reached at da380@cam.ac.uk for research inquiries and collaboration opportunities.

Frederik Tilmannمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Analysis
• +۳ مورد دیگر

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.

Yunan Yangمشاهده پروفایل

استادیار

• Applied Mathematics
• Inverse Problems
• Optimal Transportation
• +۳ مورد دیگر

Yunan Yang is the Goenka Family Assistant Professor in Mathematics at Cornell University, within the Department of Mathematics, College of Arts and Sciences. He holds a Ph.D. from the University of Texas at Austin (2018), supervised by Prof. Björn Engquist. Previously, he was a Courant Instructor at NYU (2018–2021), Simons-Berkeley Research Fellow (2021), and Advanced Fellow at ETH Zürich (2022–2023). His research focuses on computational mathematics, including inverse problems, optimal transport, machine learning, and nonconvex optimization. Notable contributions include applications of optimal transport to seismic inversion and PDE-constrained optimization. He has advised numerous students, including undergraduates and Ph.D. candidates at Cornell and other institutions. Yang teaches courses such as MATH 6220 (Applied Functional Analysis) and has published extensively in journals like SIAM Journal on Scientific Computing and Communications on Pure and Applied Mathematics. His work bridges theoretical foundations with practical applications in geophysics and computational science.

• Geophysics
• Reservoir Geophysics
• Geophysical Inversion
• +۵ مورد دیگر

Professor Yanghua Wang is a leading academic in Geophysics at Imperial College London's Faculty of Engineering. He serves as Principal of the Resource Geophysics Academy and Director of the Centre for Reservoir Geophysics. His career spans over four decades, with roles including Research Manager at Robertson Research and a PhD from Imperial College London (1995–1997). He holds prestigious awards such as Fellow of the Royal Academy of Engineering (2021) and membership in the Chinese Academy of Engineering (2023). Education highlights include a BSc (1983) and MSc (1994) in Geophysics, followed by a PhD in Geophysics (1997). His research focuses on seismic inversion, reservoir geophysics, and time-frequency analysis, with notable monographs on seismic inversion and signal processing. He leads interdisciplinary projects combining machine learning with geophysical modeling, addressing challenges in reservoir characterization and seismic data processing. Research interests emphasize geophysical inversion techniques, anisotropic media analysis, and applications in energy exploration. He has pioneered methods like the W transform for seismic signal analysis and contributed to advancements in physics-informed neural networks. His work bridges theoretical geophysics with practical reservoir engineering solutions. Prof. Wang’s lab, the Resource Geophysics Academy, focuses on innovative geophysical methodologies for subsurface characterization. His recent projects include AI-driven data assimilation for large-scale systems and high-resolution seismic imaging techniques. Collaborations span academia and industry, addressing global energy and resource challenges.

Miaki Ishiiمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Studies
• +۵ مورد دیگر

Miaki Ishii is a Professor of Earth and Planetary Sciences at Harvard University, affiliated with the Department of Earth and Planetary Sciences. She leads the Harvard Seismology Group and has held academic roles at Harvard since 2006, progressing from Assistant to Associate Professor and then Full Professor. Education: Ph.D. in Geophysics (2003), Harvard University Hon.B.Sc. in Physics (1998), University of Toronto Research Interests: Ishii specializes in seismic imaging of Earth's internal structure, including the mantle and core. Her work focuses on earthquake mechanisms, signal processing, and theoretical seismology. She uses seismic data to study rupture dynamics, subduction zone processes, and free oscillations of the Earth. Key Contributions: Notable projects include analyzing the 2011 Tohoku-Oki earthquake rupture, developing the DigitSeis software for analog seismogram digitization, and studying inner core anisotropy using normal mode splitting. Her research integrates high-performance computing and waveform inversion techniques. Awards: James B. Macelwane Medal (2009) Kavli Fellow (2012) Charles F. Richter Award (2008) Alice Wilson Award (2004) Labs/Teams: Directs the Harvard Seismology Group, collaborating internationally on seismic networks like Hi-net and USArray. Her work bridges computational seismology with observational geophysics.

Guy G. Drijkoningenمشاهده پروفایل

دانشیار

• Applied Geophysics
• Seismic Experiments & Modelling
• Seismic Data Acquisition
• +۳ مورد دیگر

Guy G. Drijkoningen is an Associate Professor in Applied Geophysics at Delft University of Technology (TU Delft), Faculty of Civil Engineering and Geosciences. He is actively involved in teaching and research within the Department of Applied Geophysics & Petrophysics. Education: MSc, Delft University of Technology, The Netherlands PhD, Cambridge University, UK Research Focus: His work centers on Seismic Experiments & Modelling , particularly in exploration and shallow-subsurface contexts. Key areas include: Seismic data acquisition on land Continuous seismic monitoring Shallow shear-wave imaging (land and marine) Seismic wave propagation in porous media Current projects leverage advanced sensor networks (e.g., LOFAR), full-waveform inversion for tunnel-boring machines, and novel vibrator technologies. Publications Trend: Recent works (2011–2016) emphasize seismic modeling, inversion techniques, and experimental validation across marine and terrestrial environments. Topics span poroelastic wave theory, ambient-noise interferometry, and innovative seismic source design, reflecting a blend of theoretical and applied geophysics. Scientific Awards: Best-paper award Geophysics 2015 for "A seismic vertical vibrator driven by linear synchronous motors" Professional Memberships & Editorial Roles: Member: Society of Exploration Geophysicists (SEG) Member: European Association of Geoscientists and Engineers (EAGE) Associate Editor: Geophysics Teaching: He teaches undergraduate and graduate courses including Introduction to Geophysics, Reflection Seismology, and specialized PhD-level modules on seismic data analysis.

Frederik J. Simonsمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Geodesy
• +۳ مورد دیگر

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.

Weiwen Jiangمشاهده پروفایل

استادیار

• Quantum Computing
• AI Accelerators
• Hardware-Software Co-Design
• +۳ مورد دیگر

Weiwen Jiang is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University (GMU), affiliated with the College of Engineering and Computing (CEC). He leads the JQub lab, focusing on hardware/software co-design for computing systems, spanning classical (FPGAs, ASICs) and quantum computing applications in AI-driven fields like medical imaging and geophysics. Prior to GMU, he held a postdoctoral position at the University of Notre Dame and earned his PhD in Computer Science from Chongqing University with a joint PhD in Electrical and Computer Engineering from the University of Pittsburgh. His research emphasizes quantum computing, AI accelerators, and domain-specific computing. Notable achievements include the 2025 NSF CAREER Award, ACM Sigda Meritorious Service Award (2024), and IEEE QuantumWeek Best Paper Award (2023). His work is funded by NSF, DoE, ARO, Meta, and Leidos. He co-chaired IEEE QuantumWeek (2023–2025) and created workshops like StableQ at ESWEEK 2023. Key contributions include developing frameworks like QuPAD for quantum learning and JQub's AI-driven geophysical and medical imaging tools. His lab graduated Dr. Yi Sheng (now at University of South Florida) and Dr. Zhepeng Wang (Amazon Applied Scientist). Current research explores quantum machine learning, noise mitigation, and fairness in AI for edge devices.

Thorsten Beckerمشاهده پروفایل

استاد

• Geodynamics
• Seismology
• Mantle Dynamics
• +۵ مورد دیگر

Thorsten W. Becker is a Professor of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin, holding the Shell Companies Foundation Distinguished Chair in Geophysics. He is also a Senior Research Scientist at the Institute for Geophysics and a Faculty Associate at the Institute for Computational Engineering and Sciences. His research focuses on the co-evolution of planetary interiors and surface systems, integrating geodynamic modeling, seismology, and field data to study processes like plate tectonics, mantle convection, and seismic anisotropy. Becker earned a Diplom in Physics from Goethe University (Frankfurt) and a Ph.D. in Geophysics from Harvard University. He has held academic positions at the University of Southern California and Scripps Institution of Oceanography. His honors include the Augustus Love Medal (EGU), Evgueni Burov Medal (IUGG), and Fellow of the American Geophysical Union. His teaching interests span Tectonic Geodynamics, Natural Hazards, and Numerical Modeling. He chairs the US National Academies’ Standing Committee on Solid Earth Geophysics and has led major initiatives like the NSF-funded Megathrust Modeling Framework. His work bridges computational geoscience, tectonics, and geodynamic theory, with over 160 peer-reviewed publications. Recent research emphasizes mantle flow dynamics, slab interactions, and AI-driven seismic analysis. Key contributions include models of subduction termination, slab-induced cratonic thinning, and the role of mechanical anisotropy in tectonic processes.