Dr ChuanChuan Lü is a Research Fellow in the Department of Earth Sciences at the University of Cambridge. His work focuses on marine geophysics and seismology, particularly applying advanced seismic inversion and ray tracing techniques to study offshore geological challenges. He is based at the Bullard Laboratories and contributes to research on Earth's interior dynamics and tectonic processes. Research Interests Fluid and melting interactions within the Earth's crust Formation mechanisms of passive and active continental margins Crustal heterogeneity analysis in tectonic settings Volatile cycling dynamics in subduction zones Seismic data modeling (earthquakes & ambient noise) Multi-scale velocity structure interpretation Contact Email: chuanchuanlu@esc.cam.ac.uk Office: Wolfson Building #62, Bullard Laboratories, Madingley Road, Cambridge CB3 0EZ Phone: +44 (0)1223 337172 Affiliations Collaborator with Professor Nicholas Rawlinson Specialist in Earth's Interior, Geodynamics and Tectonics
Dr. Michael Roach is an Adjunct Researcher in Earth Sciences at the University of Tasmania's School of Natural Sciences. His research focuses on geophysics, structural geology, and electromagnetic methods applied to mineral exploration, mine waste management, and environmental geoscience. He has collaborated on projects involving Tasmania's geological structure, tailings dam stability, and geophysical imaging of subsurface features. Education: Doctoral training in geophysics and exploration methods, with expertise in integrating geophysical data with geological mapping and machine learning. Research Interests: Geophysical exploration methods (electromagnetic and gravity/magnetic), structural analysis of ore deposits, geotechnical assessment of mine tailings, and environmental applications of geophysics. His work bridges academic research with industry needs in mineral exploration and environmental remediation. Key Projects: Geophysical characterization of mine tailings dams for stability assessment 3D modeling of granite intrusions in Tasmania Immersive visualisation tools for field-based geoscience education Environmental monitoring of legacy mine sites using geophysical techniques Supervision & Teaching: Advised over 15 PhD and MSc students on topics ranging from mineral exploration methods to geophysical inversion techniques. Contributed to educational grants advancing geoscience visualization and fieldwork pedagogy. Labs/Teams: Collaborates with the ARC Centre of Excellence in Ore Deposit Research and industry partners like GHD Pty Ltd on tailings management and geophysical innovation.
Sarah Eberle-Blick is a Senior Lecturer at the Institute of Mathematics , Goethe University Frankfurt, Department of Computer Science and Mathematics. Her work bridges numerical methods, inverse problems, and wave propagation in elasticity. Research Focus : Numerical analysis of PDEs, monotonicity methods for inclusion detection, FEM-BEM coupling, multiscale seismic data processing. Key Contributions : DFG-funded projects on elastic wave reconstruction; development of stable integral formulations for acoustic and thermoelastic wave equations; implementation of 3D wave simulations. Article Trends : Recent papers emphasize inverse problems in linear elasticity, time-harmonic wave equations, and multiscale analysis using wavelets. Collaborative work spans geophysics, computational mechanics, and mathematical modeling. Projects : Includes monotonicity-based regularization, Lipschitz stability estimation, and FEM-BEM coupling with convolution quadrature. Contact: eberle@math.uni-frankfurt.de | Room 103, Institute of Mathematics, Frankfurt am Main, Germany.
Saskia Hekker is a Professor of Theoretical Astrophysics at Heidelberg University's Center for Astronomy (ZAH), specifically at the Landessternwarte Königstuhl (LSW) observatory. Since September 2020, she has also served as Group Leader for the Theory and Observations of Stars (TOS) at the Heidelberg Institute for Theoretical Studies (HITS). Her academic journey includes significant positions at the Max Planck Institute for Solar System Research in Göttingen (2014-2020), where she led an independent research group, and earlier postdoctoral positions at the University of Amsterdam, University of Birmingham, and Royal Observatory of Belgium. Dr. Hekker's research focuses on asteroseismology, stellar evolution, and the internal structures of stars, particularly solar-like oscillators and red giants. Her work bridges theoretical modeling with observational data to understand stellar interiors and evolutionary processes. She has made significant contributions to understanding mixed modes in red giants, stellar rotation, and the application of asteroseismology to determine stellar ages and evolutionary status. Her research often involves large-scale missions like Kepler and PLATO, as evidenced by her numerous publications in high-impact journals. Her recent publications (2024-2025) reveal a strong focus on asteroseismic analysis of red giants, stellar rotation, magnetic effects on stellar oscillations, and the development of methods for asteroseismic modeling. Her work frequently appears in Astronomy & Astrophysics, The Astrophysical Journal, and Nature Astronomy, demonstrating her leadership in applying asteroseismology to solve fundamental questions about stellar structure and evolution. ERC Consolidator Grant (2020-2026) for project 'DipolarSound' Merac prize for observational astrophysics (2015) ERC starting Grant (2013) Veni fellowship from Dutch National Funding Agency (2010) Multiple poster prizes at international conferences Dr. Hekker leads the Theory and Observations of Stars group at HITS, which focuses on developing and applying asteroseismic techniques to study stellar structure and evolution. Her team works closely with data from space missions like Kepler and PLATO, contributing to major catalogs like APOKASC-3. Her ERC Consolidator Grant 'DipolarSound' (2021-2026) supports research into the coupling of mixed oscillation modes in red giants, which has implications for understanding angular momentum transport in stellar interiors.
Maryline Moulin is a prominent geophysics researcher specializing in plate tectonics, continental margin evolution, and integrated seismic analysis. She has led major oceanographic campaigns including PAMELA-MOZ05/03 and MAGIC projects, focusing on passive margins in the South Atlantic and East African regions. 2003 PhD from University of Western Brittany 2016 Project Leader for PAMELA campaigns Key collaborator in 15+ international seismic studies Her research spans diverse methodologies: Wide-angle seismic (OBS) profiling Multi-channel seismic (MCS) interpretation Gravity and magnetic anomaly analysis 3D structural modeling (Placa3D) Seismo-stratigraphic analysis Recent publications (2023-2025) reveal patterns in: Proto-oceanic crust formation Passive margin segmentation Quaternary contourite systems Transform margin tectonics Deep crustal architecture
Michael S. Zhdanov is a Distinguished Professor in the Department of Geology and Geophysics at the University of Utah, where he has served since 1993. As Director of the Consortium for Electromagnetic Modeling and Inversion (CEMI) since 1995, he leads industry-sponsored research in non-seismic geophysics. He holds a Ph.D. from Moscow State University and previously held prominent roles at the Moscow Academy of Oil and Gas and the Russian Academy of Sciences. Research Focus Dr. Zhdanov pioneered regularized focusing inversion for geological imaging and developed the Gramian-based joint inversion framework for multiphysics data integration. His work bridges geophysics, machine learning (e.g., diffusion models, ResU-Net++), and computational methods to solve inverse problems in mineral exploration, subsurface imaging, and electromagnetic modeling. Key domains include salt dome reconstruction, basin analysis, and airborne EM/IP inversion. Publication Trends Recent work (2023–2025) demonstrates a strong emphasis on AI-driven geophysical inversion , with neural networks (ResU-Net++, EfficientNetV2) applied to gravity/magnetic data for salt dome detection, basement relief mapping, and mineral targeting. Over 50% of publications integrate machine learning with traditional inversion theory. Awards and Honors IEEE Senior Member (2024) SEG Honorary Membership (2013) Gauss Professorship, Gottingen Academy (1990) University of Utah Distinguished Scholarly Award (2009) Full Member, Russian Academy of Natural Sciences (1991) Leadership and Funding As CEMI Director, Zhdanov collaborates with 30+ industry partners (e.g., Shell, ExxonMobil, BHP). Secured grants from NSF, DOE, and industry for projects on 3D EM inversion, mineral exploration, and airborne survey technologies. Actively advises graduate students in inversion theory and EM methods. Facilities Leads the CEMI Consortium, developing advanced computational tools for multiphysics data fusion used globally in resource exploration.
Professor Christoph Arns is a full Professor at the University of New South Wales (UNSW) School of Engineering, specializing in Mineral and Energy Resources Engineering. He has been at UNSW since 2008 and has held the position of full Professor since 2014. Currently, he leads the Geoenergy and Geostorage discipline within the school. Prior to joining UNSW, he was a research fellow at the Australian National University from 2001-2008. Professor Arns obtained his Dipl. Phys. from RWTH Aachen, Germany in 1996 and his PhD in Petroleum Engineering from UNSW Sydney in 2002. His academic background combines physics and petroleum engineering, creating a unique interdisciplinary perspective for his research. His primary research focus is on Digital Rock Physics, where he has pioneered computational pore-scale physics based on tomographic images. He specializes in integrating 3D tomographic imaging technology with NMR techniques for petrophysical applications, with particular emphasis on heterogeneity analysis. His work spans multiple sub-disciplines including pore-scale modeling, digital core analysis, rock physics, reservoir characterization, and Minkowski functionals for structural analysis. Professor Arns has developed the MPI-parallel software package 'morphy' for computational physics operating on segmented tomographic images, which includes sophisticated NMR response modeling, electrical property calculations, permeability estimation, elastic moduli determination, and morphological property analysis. His research has substantial industry relevance, as evidenced by his role as a founding member of Digital Core Pty Ltd, an ANU/UNSW spin-off that was sold to FEI for $76 million in 2014 and is now part of ThermoFisher. He has received significant research support through three successive Australian Research Council (ARC) fellowships. His scholarly contributions are reflected in numerous publications spanning from 2000 to 2025, with recent work focusing on advanced computational methods, machine learning applications in rock physics, and detailed analysis of fluid-rock interactions at the pore scale. Professor Arns maintains active leadership roles in multiple professional societies including Interpore (lifetime member, former council chair 2016-2019), Society of Core Analysts (Australasia Regional Director since 2016), Society of Petrophysicists & Well Log Analysts, Society of Exploration Geophysicists, and Society of Petroleum Engineers.
Hadi Hajibeygi is a Professor of Geo-Energy Solid and Fluid Mechanics at Delft University of Technology, leading subsurface storage research and multiscale modeling initiatives. He serves as the Subsurface Storage Theme Lead (2016–present) and Energi Simulation Chair holder (2022–present), with a focus on underground hydrogen storage, CO2 sequestration, and geothermal energy systems. His research integrates multiphase flow in porous media , multiscale simulation , and geomechanical stability , supported by NWO-Vidi and Interpore awards. He leads the DARSim and ADMIRE projects, developing frameworks like Adaptive Dynamic Multiscale Integration and pEDFM-U for fractured reservoirs. Key awards include: Interpore Award for Porous Media Research (2021) NWO-Vidi Laureate (2019) Interpore Rosette (2017) ETH Zurich PhD Medal (2012) TU Delft Innovative Teaching Talent (2018) His teaching portfolio spans Dynamics of Solids and Fluids , Numerical Methods for Subsurface Simulation , and Multiscale Modeling , while advising a team of postdocs and PhD candidates on projects spanning induced seismicity, microbial interactions, and fractured reservoir mechanics.
Bao Xueyang is an Assistant Professor at the Department of Earth and Space Sciences (Faculty of Science) of Southern University of Science and Technology (SUSTech) , where he has worked since January 2019. His academic background includes a Ph.D. in Geology from the University of Missouri-Columbia (2011) , M.S. and B.S. degrees in Geophysics from the University of Science and Technology of China . Ph.D., Geological Sciences, University of Missouri-Columbia (2011) M.S., Earth and Space Sciences, University of Science and Technology of China (2005) B.S., Earth and Space Sciences, University of Science and Technology of China (2001) His research focuses on seismological full-waveform inversion , seismic wave attenuation measurement , and geophysical studies of tectonically active regions such as the Tibetan Plateau and Tethys domain. Methodologically, he develops techniques for: 3D full-waveform inversion Joint seismic-gravity inversion Seismic wave attenuation anisotropy Background noise tomography Wavefield simulation on complex topographies Seismic source parameter inversion Analysis of his recent publications reveals expertise in full-waveform sensitivity kernel development , ocean-bottom seismology , and cratonic lithosphere thermal structure through Rayleigh wave attenuation studies. His work spans both theoretical advancements in inversion algorithms and practical applications in energy resource characterization and tectonic studies. Scientific recognition includes: 2019 Shenzhen Overseas High-Level Talent 2022 Excellence Awards in Reviews of Geophysics and Planetary Physics He leads multiple National Natural Science Foundation projects while co-leading international research initiatives. His teaching portfolio includes undergraduate and graduate courses on geophysical inversion theory, covering both linear and nonlinear inversion methods with machine learning applications.
LUO Bin is an Assistant Professor in the Department of Ocean Science and Engineering at Southern University of Science and Technology (SUSTech), where he has been affiliated since 2022. He holds a Ph.D. in Geophysics from Texas A&M University (2018) and a B.S. in Geophysics from the University of Science and Technology of China (2013). Prior to his current position, he served as a Postdoctoral Scholar at Stanford University (2021-2022) and a Postdoctoral Fellow at Colorado School of Mines (2019-2021). Research Focus: Dr. Luo's research centers on earthquake physics and seismology, with specialized expertise in elastic wave propagation modeling, dynamic rupture simulation, and seismic cycle analysis. He pioneers applications of fiber-optic distributed acoustic sensing (DAS) technology for seismic monitoring in diverse environments including urban areas, submarine settings, and hydrocarbon reservoirs. His work integrates computational methods with field data analysis to advance understanding of seismic hazards and subsurface characterization. Publication Trends: His recent articles (2018-2022) demonstrate a strong focus on distributed acoustic sensing applications in microseismic monitoring, guided wave analysis, and seismic inversion techniques. Computational modeling of earthquake dynamics and fault mechanics constitutes another major thematic cluster, featuring advanced finite-element simulations of complex fault systems. Honors and Awards: 2022: Honorable Mention for Best Paper (Geophysics Journal) 2022: Top 25 Presenter at SEG Annual Meeting (IMAGE Conference) 2021: Honorable Mention for Best Paper (The Leading Edge) 2013: Departmental Fellowship (Texas A&M University) Professional Activities: Serves as peer reviewer for leading geophysics journals including Geophysics , Geophysical Research Letters , and Journal of Geophysical Research , contributing to scholarly quality control in seismology and exploration geophysics.
Jianliang Qian is a Professor at the Department of Mathematics and Department of Computational Mathematics, Science and Engineering at Michigan State University , East Lansing, MI. He earned his Ph.D. from Rice University and has held academic appointments at MSU since 2005, including roles as Assistant, Associate, and Full Professor. Since 2015, he has served as Director of the Michigan Center for Industrial and Applied Mathematics . Research Interests: His work focuses on big-data analysis via inverse problems , fast algorithms for geophysical and medical imaging , microlocal analysis , numerical methods for PDEs , and optimal control . Key applications include high-frequency wave modeling, seismic inversion, and genome architecture reconstruction. Article Trends: Recent publications emphasize high-frequency wave propagation , level-set inversion techniques , machine learning integration into wave modeling, tensor methods for high-dimensional problems, and adaptive algorithms for Helmholtz and Hamilton-Jacobi equations. Leadership: As Director of the Michigan Center for Industrial and Applied Mathematics, he organizes seminars and workshops, including the Conference on Wave Challenges (2015) and MCIAM Seminars series.
Songqiao Wei serves as Associate Professor in both the Department of Earth & Environmental Sciences and the Department of Computational Mathematics, Science and Engineering at Michigan State University, conducting research at the intersection of seismology and computational geophysics with focus on subduction zone dynamics and Earth's deep interior. Education: Ph.D. in Earth and Planetary Sciences, Washington University in St. Louis (2016) M.A. in Earth and Planetary Sciences, Washington University in St. Louis (2012) M.S. in Geophysics, Peking University (2010) B.S. in Geophysics, Peking University (2007) Dr. Wei's research spans Seismology , Geophysics , and Tectonics , with core expertise in subduction zone processes , mantle transition zone structures , and seismic attenuation methodology . He integrates field deployment of seismic instruments with advanced computational analysis to investigate mantle discontinuities, melt/volatiles distribution, and intermediate-depth seismicity, particularly in the Tonga-Lau system and Alaska Peninsula regions. His work bridges observational seismology with geodynamic modeling to unravel complex mantle processes. Analysis of his 15 most recent publications reveals dominant research themes in subduction zone tomography (60% of works), seismic attenuation applications (25%), and machine learning integration (15%), with strong regional focus on Alaska (45%) and Tonga (35%). The publications demonstrate methodological evolution toward transdimensional Bayesian approaches and deep learning techniques for earthquake detection and structural imaging. Scientific Awards: Green Scholar Postdoctoral Fellowship, Scripps Institution of Oceanography (2016-2017) Dr. Wei's research program emphasizes field-based data acquisition through temporary seismic deployments, particularly in subduction zone settings. While specific grant details and student advisement records aren't documented in the provided materials, his active field work and computational research indicate ongoing project funding for instrumentation and data analysis. His dual departmental appointments reflect the interdisciplinary nature of his work combining geophysical observation with advanced computational methods. He maintains active involvement in seismic field campaigns for data collection and leads computational research groups focused on developing novel tomographic and machine learning approaches for seismic data analysis, with particular emphasis on subduction zone environments and deep Earth structure.
Sébastien Chevrot is a Researcher at the Institut de Recherche en Astrophysique et Planétologie (IRAP) , Université Paul Sabatier, Toulouse, France. His work focuses on geophysical tomography to study lithospheric structures in orogenic zones like the Pyrenees and Massif Central. Key Research Areas: Crustal and mantle imaging, lithospheric segmentation, seismic wave propagation, and tectonic inversion of continental rifts. The 2014 tomographic study co-authored by Chevrot utilized data from the PYROPE and IBERARRAY experiments to resolve deep crustal and mantle structures. This work challenged subduction models for the Pyrenees and highlighted the role of reactivated Hercynian faults. Crustal corrections were computed using receiver functions and seismic profiles, improving resolution of lithospheric heterogeneities. The study demonstrated that uncorrected crustal anomalies can vertically smear tomographic images, emphasizing the importance of integrating detailed crustal models in regional seismic studies.
Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.
Vissarion Papadopoulos is a Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA). His office is located at the Statics and Aseismic Research Laboratory, with contact details including email vpapado@central.ntua.gr and phone 210 772 4158. He has maintained an active research profile since at least 2016, focusing on advanced computational methods in structural engineering. His primary research domains include: Structural Engineering and Computational Mechanics Stochastic Analysis and Uncertainty Quantification Multiscale Modeling of Composite Materials Machine Learning for Engineering Simulations Optimization of Structural Systems Thermomechanical Behavior of Advanced Materials Analysis of his recent publications reveals a decisive shift toward integrating deep learning frameworks with traditional computational mechanics. His work demonstrates consistent innovation in accelerating solutions for parametric and transient structural problems through transformer networks, Bayesian inference, and physics-informed neural networks. Key application areas include carbon nanotube reinforced composites, sustainable automotive design, and seismic-resistant structures, with emphasis on enhancing computational efficiency while maintaining accuracy. He is affiliated with NTUA's Statics and Aseismic Research Laboratory, which specializes in structural dynamics, earthquake engineering, and advanced computational methodologies for civil infrastructure analysis and design.
