Find Academic Supervisors

• Coastal Geomorphology
• Sedimentology
• Quaternary Geology
• +4 more

Dr. Damian Moskalewicz is an Adjunct Professor at the University of Gdańsk , affiliated with the Faculty of Oceanography and Geography and the Department of Geomorphology and Quaternary Geology. His research focuses on coastal geomorphology, sedimentology, and Quaternary geology, with a particular emphasis on storm surge deposits, coastal flooding, and sediment intrusion in the Baltic Sea region. Current Affiliation: University of Gdańsk, Faculty of Oceanography and Geography, Department of Geomorphology and Quaternary Geology Research Lab: Pracownia Rekonstrukcji Geomorfologicznych (Morphological Reconstruction Laboratory) Research Trends: Recent work highlights the application of UAV-based LiDAR and multispectral imaging for coastal monitoring, statistical methods for identifying storm deposits, and interdisciplinary approaches combining historical records with sedimentary analysis. His studies address climate change impacts, sea-level rise, and coastal management strategies, particularly in the Gulf of Gdańsk and Puck Bay. Scientific Contributions: Dr. Moskalewicz has published extensively on coastal cliff degradation, glacial sediment weathering, and late Holocene storm history, utilizing advanced geospatial and geophysical techniques. Laboratory & Teams: He actively collaborates with the Morphological Reconstruction Laboratory, contributing to fieldwork, sediment analysis, and coastal hazard assessments.

Lionel PichonView profile

Researcher

• Electromagnetics
• Electromagnetic Compatibility
• Wireless Power Transfer
• +4 more

Lionel Pichon is a leading researcher at the Laboratory of Electrical and Electronic Engineering of the University of Paris. His primary affiliations include the Department of Electrical and Electronic Engineering of Paris, where he specializes in advanced electromagnetic research. His work focuses on Electromagnetics , Electromagnetic Compatibility (EMC) , and Wireless Power Transfer , with particular emphasis on composite materials, biomedical applications, and automotive systems. Expertise in numerical methods (FDTD, FIT, DGTD) for electromagnetic simulations Pioneer in shielding effectiveness analysis for composite materials Developer of AI-driven approaches for dielectric property characterization Over 70 publications since 2017 highlight his contributions to fields like inductive power transfer systems, medical device EMC, and GPR imaging techniques. Collaborates extensively with institutions globally, including research on antenna design for implantable medical devices and electromagnetic compatibility in healthcare facilities. Current research trends emphasize machine learning integration with traditional electromagnetic analysis to optimize system performance and safety standards.

• Geotechnical Engineering
• Soil Mechanics
• Marine Sediments
• +5 more

Dr. Madhu Murthy is a Lecturer in the Department of Civil, Maritime and Environmental Engineering within the Faculty of Engineering and Physical Sciences at the University of Southampton. His research focuses on advanced geotechnical investigations using cutting-edge imaging technologies and experimental methods to address complex engineering challenges in transportation infrastructure and marine environments. Research Interests Dr. Murthy's research spans multiple domains within geotechnical engineering, with particular expertise in: Advanced characterization of soil and granular materials using X-ray micro-computed tomography Mechanical behavior of railway ballast and development of sustainable reuse strategies Marine sediment mechanics and methane hydrate formation processes Unsaturated soil mechanics and water retention characteristics Gas migration phenomena in porous media His work integrates experimental techniques with computational analysis to provide fundamental insights into material behavior under various loading and environmental conditions. Dr. Murthy has established collaborations with international research teams and industry partners to address pressing infrastructure and energy challenges. Publication Trends Dr. Murthy's recent publications demonstrate a strong focus on applying advanced imaging techniques, particularly X-ray computed tomography, to solve complex geotechnical problems. His research spans from fundamental soil mechanics investigations to practical railway engineering applications. A notable trend is the integration of synchrotron imaging with geomechanical testing to visualize and quantify material behavior at the micro-scale. His work on methane hydrates bridges geotechnical engineering with energy resource exploration, while his railway ballast research addresses sustainability challenges in transportation infrastructure. Academic Supervision Dr. Murthy currently supervises PhD students working on cutting-edge geotechnical research topics: Rashid Salum Abeid: Investigating railway ballast behavior under various loading conditions Komeil Valipourian: Researching advanced geotechnical characterization methods His supervisory approach emphasizes both theoretical understanding and practical application, preparing students for successful careers in academia and industry.

Brendan MeadeView profile

Professor

• Geophysics
• Earthquake Cycle Modeling
• Computational Geosciences
• +5 more

Brendan Meade is a Professor of Earth & Planetary Sciences at Harvard University and a Faculty Affiliate of the Kempner Institute. His research focuses on earthquake cycle mechanics, topographic evolution, and computational geosciences, utilizing mathematical and machine learning approaches. He holds a BA in History of Science from Johns Hopkins University (1998) and a PhD in Earth, Atmospheric, and Planetary Sciences from MIT (2004). After a postdoc at Harvard, he advanced to full professorship, with visiting roles at Google Research and DeepMind. Research interests include geodetic imaging of fault systems, statistical earthquake modeling, and climate-tectonic interactions. Notable methods involve regional/global computational models constrained by GNSS and InSAR data to forecast seismic activity and quantify tectonic processes. Recent work integrates machine learning for aftershock prediction and fault behavior analysis. Publications span seismic deformation, viscoelastic rheology, and tectonic dynamics, emphasizing interdisciplinary approaches. Current openings exist for graduate students and postdocs in computational geosciences and machine learning applications. The Meade Group collaborates across academia and industry, leveraging advanced computational frameworks like Bem2d.jl for boundary element modeling.

Frank PostbergView profile

Professor

• Astrobiology
• Planetary Science
• Ocean Worlds
• +3 more

Prof. Frank Postberg is a University Professor for Planetary Sciences at Freie Universität Berlin, leading the Planetary Sciences and Remote Sensing group. He specializes in astrobiology and the exploration of icy ocean worlds such as Enceladus and Europa, using data from missions like Cassini-Huygens and Europa Clipper. Education: PhD (2007) in Physics from Heidelberg University, followed by postdoctoral research at the Max Planck Institute and University of Stuttgart. He habilitated in cosmochemistry (2012) and received a Heisenberg Fellowship (2014). Research focuses on the composition of plumes and subsurface oceans of icy moons, with projects like Habitat-OASIS exploring habitability. He co-leads experiments on interstellar dust (Destiny+ mission) and serves on ESA’s strategic mission teams. Awards include the ERC Consolidator Grant (2017) for studying ocean world habitability. His lab develops advanced instrumentation like SUDA for compositional analysis of planetary materials.

David Zhen YinView profile

Researcher

• Data Science for Geosciences
• Geological Uncertainty Quantification
• Decision-Making Under Uncertainty
• +3 more

David Zhen Yin is a Senior Research Scientist and co-founder/program director of Stanford Mineral-X , a hub for resilient mineral supply chain research. He also serves as Principal Scientist at the Stanford Center for Earth Resources Forecasting and on the US National Academies Committee for optimizing the USGS Mineral Resources Program. His work focuses on data-driven approaches for critical earth resource exploration and decision-making under uncertainty. Education: Ph.D. in Geosciences from Heriot-Watt University (Edinburgh, UK, 2016) Research interests include mineral supply chain resilience, geological uncertainty modeling, and applications in energy transitions. His methods have been adopted by Chevron, Equinor, and KoBold, supporting projects in Antarctica, North Sea, Gulf of Mexico, and critical mineral explorations in Canada/China/US. Notable contributions include a $192.5M Series B fundraising through the Stanford-KoBold collaboration (2020-2022). Labs/Teams: Stanford Mineral-X, Stanford Center for Earth Resources Forecasting

David P. RoyView profile

Professor

• Remote Sensing
• Environmental Data Science
• Terrestrial Global Change
• +2 more

David P. Roy is a Professor in the Department of Geography, Environment and Spatial Sciences at Michigan State University (MSU), where he was hired under the Global Impact initiative. He also serves as Director of the Center for Global Change and Earth Observations. With a distinguished career spanning institutions in Europe and the U.S., he remains an Adjunct Professor at both the University of Maryland and South Dakota State University. Ph.D. in Geography, University of Cambridge (1994) M.Sc. in Remote Sensing and Image Processing, University of Edinburgh (1988) B.Sc. in Geophysics, University of Lancaster (1987) His research focuses on developing remote sensing and computational methods to map and characterize the Earth system, particularly terrestrial global change, now termed environmental data science. He has been a key member of NASA Satellite Science Teams and led the MODIS Land Data Operational Product Evaluation group at NASA’s Goddard Space Flight Center for eight years. Post-doctoral Research Fellow, Natural Environment Research Council Unit for Thematic Information Systems, University of Reading (U.K.) Post-doctoral Research Fellow, Space Applications Institute, Joint Research Centre of the European Commission (Ispra, Italy) Adjunct Professor, University of Maryland (1998–present) Adjunct Professor, South Dakota State University (after 13 years as a full professor there)

Yinshuai DingView profile

Researcher

• Applied Geophysics
• Natural Resources Exploration
• Near-Surface Geophysics
• +3 more

Yinshuai Ding is a University Researcher in the Department of Geosciences and Geography at the University of Helsinki's Faculty of Science. His research focuses on applied geophysics for natural resources exploration and near-surface investigation. Ding serves as responsible teacher for four courses: GEOM-2008 Field course of solid Earth geophysics, GEOM-2003 Applied geophysics, GEOM-2015 Ground-penetrating radar: theory and applications, and BSPH-2011 Introduction to solid Earth physics. PhD in Geophysics, University of Houston (2012-2019) Ding's research centers on applied geophysics with emphasis on mineral exploration and near-surface investigation. His work involves seismic imaging techniques, particularly for deep ore deposits, and utilizes both legacy seismic data and modern acquisition methods. He specializes in 3D seismic processing of 2D crooked lines, reflection imaging of massive sulphide deposits, and ground-penetrating radar applications. His research has practical applications in mining geophysics, particularly in the Outokumpu mining area in Finland and the Neves-Corvo mining site in Portugal. His recent publications (2023-2025) demonstrate a consistent focus on mineral exploration geophysics, particularly seismic methods for detecting deep ore deposits. Ding's work shows a progression from traditional 2D seismic analysis toward more advanced 3D imaging techniques applied to legacy datasets. A significant portion of his research involves the Neves-Corvo mining site in Portugal, where he applies innovative tunnel-to-surface acquisition setups and orthogonal geometry seismic profiles. He is also involved with FINNSIP, the mobile Finnish Seismic Instrument Pool, contributing to national research infrastructure development. Ding serves as Principal Investigator for the project 'Targeting deep ore deposits in Outokumpu by refining seismic images – the potential of 2D legacy datasets leveraged by 3D imaging algorithms and seismic attribute analysis' (2023-2024). He also participates in the FINNSIP facility as 'Other' contributor. His teaching portfolio is substantial, with responsibility for four courses and assistant teaching in two additional courses related to geophysics and petrophysics. Ding is actively involved with the FINNSIP (Finnish Seismic Instrument Pool) facility, which represents a significant national research infrastructure for seismic monitoring and geophysical research. His work bridges academic research with practical mineral exploration applications, particularly through collaborations with mining operations in Finland and Portugal.

Jeffrey G. PaineView profile

Research Professor

• Near-surface geophysics
• Coastal geology
• Geologic hazards
• +3 more

Dr. Jeffrey G. Paine is a Research Professor at the Bureau of Economic Geology , University of Texas at Austin. As coordinator of the Near Surface Observatory , he specializes in near-surface geophysics , coastal studies , and geologic hazards using electromagnetic induction, seismic methods, and lidar. His career spans over 60 principal investigator roles in federally and state-funded projects. B.S. Geology, UT Austin (1980) M.S. Geology, University of Washington (1982) Ph.D. Geology, UT Austin (1991) Paine's research integrates geophysical techniques with environmental studies , focusing on coastal dynamics, subsurface heterogeneity, and resource management. His 180+ publications demonstrate expertise in airborne geophysics , salinization mapping , and permafrost characterization . Articles highlight lidar and EM integration for stratigraphic discrimination, CO₂ injection monitoring, and Arctic hydrology. Fellow, Geological Society of America The Gold Award, Environmental and Engineering Geophysical Society Best Paper Award, Symposium on Application of Geophysics to Engineering Problems Best Presentation Award, UT Austin Shell Chair Award, UT Austin As a lecturer in UT Austin's Department of Geological Sciences since 2004, he teaches GEO 391: Hydrogeophysics . His leadership roles include past president of the Environmental & Engineering Geophysical Society and AAPG's Division of Environmental Geosciences, with panelist appointments at NASA and DOE. The Near Surface Observatory under his direction supports multidisciplinary geohazard investigations and environmental monitoring initiatives.

Tara M CurtinView profile

Associate Professor

• Geoscience
• Sedimentology
• Paleoclimatology
• +6 more

Tara M Curtin is an Associate Professor of Geoscience at Hobart and William Smith Colleges, where she has been a faculty member since 2001. She is based in the Department of Geoscience within the School of Geoscience and contributes to interdisciplinary programs in Environmental Science and Environmental Studies. Education: Ph.D., University of Arizona, Tucson, AZ M.S., University of Illinois at Urbana-Champaign A.B., Colgate University, Honors in Geology, cum laude Her research centers on the relationship between sedimentation, mountain building, and global climate change, particularly focusing on the transition from a greenhouse to an icehouse world approximately 50 million years ago, as recorded in sedimentary rocks from NE Spain. She also investigates modern climate variability using layered lake deposits in Seneca Lake and other regional lakes to infer seasonal or episodic changes. Dr. Curtin teaches a diverse range of courses including FSEM 034 The Analytical Methods of Sherlock Holmes , FSEM 144 Parched: The Past, Present and Future of Water , GEO 140 Environmental Geology , GEO 186 Introduction to Hydrogeology , GEO 220 Geomorphology , GEO 270 Paleoclimatology , GEO 299 Geoscience Field Studies , and GEO 320 Sediments and Sedimentary Rocks . Many of these courses involve field trips and hands-on data collection, emphasizing experiential learning. She is professionally affiliated with the American Geophysical Union, Geological Association of America, Society of Sedimentary Geologists (SEPM), International Association of Sedimentologists, National Association of Geology Teachers, and the Council on Undergraduate Research, underscoring her active engagement in the geoscience community. Email: curtin@hws.edu Office: Lansing Hall Phone: (315) 781-3928 Dr. Curtin mentors undergraduate students through research and field-based projects, although specific advisees are not listed. There are no scientific awards mentioned in the provided text. Her scholarly work bridges modern and ancient environmental systems, contributing to broader understanding of Earth’s climatic and geological evolution.

Andrew WintersView profile

Associate Professor

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +12 more

Andrew Winters is a Senior Associate Professor in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA), where he conducts research in computational mathematics and numerical methods for partial differential equations. His research focuses on the design and analysis of high-order numerical schemes, particularly nodal discontinuous Galerkin (DG) methods with summation-by-parts (SBP) properties, for solving hyperbolic and mixed hyperbolic-parabolic PDEs such as shallow water, Euler, Navier-Stokes, and magnetohydrodynamic (MHD) equations. His work emphasizes conservation, entropy stability, and thermodynamic consistency in numerical approximations. The recent publications highlight a strong trend in developing robust, high-order, entropy-stable methods for nonlinear conservation laws, with applications in fluid dynamics and geophysical modeling. His work integrates theoretical analysis with high-performance computing, particularly through the development of the FLUXO and Trixi.jl simulation frameworks. Energy Bounds for Discontinuous Galerkin Spectral Element Approximations Entropy Stable Hydrostatic Reconstruction Efficient Implementation of Entropy Stable DG Methods Adaptive Simulations with Trixi.jl Subcell Finite Volume Shock Capturing Andrew Winters is actively involved in software development and scientific computing education, including an introductory Fortran course for MATLAB users. He contributes to international collaborations, such as a four-way research and exchange program between Linköping University and Washington State University. He has no listed scientific awards in the provided text. He advises students in computational mathematics, though specific names are not mentioned. He is a core developer of the FLUXO (Fortran/MPI), Trixi.jl (Julia), and HOHQMesh.jl projects, which support high-order simulations and mesh generation.

• Virtual Geosciences
• Clastic Sedimentology
• Sequence Stratigraphy
• +7 more

Professor John Howell is a Chair in Virtual Geosciences at the School of Geosciences, University of Aberdeen. He has been a Professor there since 2012, following academic and industry roles in Norway and the UK. His research bridges sedimentology, digital field methods, and energy transition geoscience. He leads multiple international research initiatives and collaborates widely across academia and industry. Education: BSc in Geology, Cardiff University, 1988 PhD in Geology, University of Birmingham, 1992 — Dissertation: Sedimentology of the Rotliegend of the UK Southern North Sea John Howell's research is centered on virtual geosciences, focusing on digital outcrop modeling using LiDAR and drones, virtual field trips, and the use of geological analogues to improve subsurface models for reservoirs, carbon capture and storage (CCS), and hydrogen storage. His work spans clastic sedimentology, sequence stratigraphy, and reservoir modeling, with field areas including the Colorado Plateau (Utah), the North Sea, and global deep-water systems. He pioneered virtual outcrop geology and co-founded V3Geo, a public repository hosting over 500 virtual models. His recent publications reflect a strong trend toward integrating digital technologies—such as machine learning and photogrammetry—into geological analysis and education. Themes include reservoir heterogeneity, virtual field trip efficiency, and the application of modern depositional systems to ancient subsurface analogues. His work increasingly supports the energy transition, particularly in subsurface storage and sustainable resource management. Scientific Awards: Perce Allen Award (2018) ExxonMobil Young Researcher Award (2000) Alaister Pilkinton Award for Excellence in Teaching (2000) John Howell has supervised 56 PhD students and leads or co-leads five major Joint Industry Projects (JIPs), including the fifth phase of the SAFARI project, funded by nine energy companies and the Research Council of Norway. His research has attracted significant industry and public funding, supporting numerous postdocs and PhD candidates. He collaborates with institutions in Bergen, Leeds, Manchester, Oslo, and Barcelona. He is actively involved in knowledge exchange, having developed V3Geo, presented TEDx talks, and appeared in numerous TV documentaries such as 'The Big Monster Dig', 'Dinosaur Detectives', and 'World's Deadliest Jobs'. He also produced educational content like 'Drone vs Volcano' with over 375,000 views.

Jianjun DongView profile

Professor

• Theoretical Condensed Matter Physics
• Computational Materials Physics
• Solid State Physics
• +4 more

Jianjun Dong is a Professor in the Department of Physics at Auburn University, holding the Thomas and Jean Walter Professorship from 2012 to 2017. His research focuses on theoretical and computational studies of condensed matter physics and materials physics, particularly lattice dynamics, thermal conductivity, and high-pressure phenomena. He has held positions including Visiting Professor at Vanderbilt University (2008) and Visiting Investigator at the Carnegie Institution’s Geophysical Lab (2007). Education: Ph.D., Physics, Ohio University, 1998 M.S., Physics, Ohio University, 1995 B.S., Physics, Beijing University, China, 1992 Research Interests: Professor Dong investigates thermal transport in materials under extreme conditions, including phonon dynamics, anharmonicity effects, and interfacial heat transfer. His work spans theoretical modeling, computational simulations, and applications to Earth’s mantle minerals, semiconductors, and novel materials. He has contributed to understanding thermal conductivity in rocksalt structures, clathrate materials, and high-pressure phases of oxides and nitrides. Key Technical Trends in Articles: His publications emphasize first-principles calculations, advanced algorithms for phonon lifetimes, and interdisciplinary approaches linking condensed matter physics to geophysics. Recent work explores unified statistical theories for heat conduction in nonuniform media and transient heat dynamics. Awards: Thomas and Jean Walter Professor of Physics (2012–2017) SPS Faculty Teaching Award: The Enthusiasm Award (2004) Grants and Advising: While specific grants are not detailed, his research has been supported by institutional and collaborative funding. He has advised students on topics in materials physics and computational modeling, though no named advisees are listed in available texts. Labs and Collaborations: His research group focuses on computational materials physics, with collaborations involving geophysical institutions and materials science groups. Key tools include density-functional theory and molecular dynamics simulations.

Colin D. RennieView profile

Professor

• River Engineering
• Environmental Hydraulics
• Sediment Transport
• +12 more

Colin D. Rennie is a Professor and Chair in the Department of Civil Engineering at the University of Ottawa, Faculty of Engineering. He holds a Ph.D. and MASc from the University of British Columbia and a B.Sc. from the University of Guelph, and is a licensed Professional Engineer (P.Eng.). He is an active researcher, educator, and leader in river and environmental hydraulics. His research focuses on river morphodynamics, sediment transport, turbulence, and aquatic habitat, utilizing advanced techniques including acoustic Doppler current profilers (ADCPs), laboratory physical models, and 3D numerical modeling. His work addresses critical issues such as river stability, flood dynamics, hydroelectric development, and ecosystem protection. The recent trends in his publications reflect a strong emphasis on high-resolution numerical modeling of local scour, sediment transport using acoustic methods, and the morphodynamic impacts of river confluences and floods. His work integrates field data with computational fluid dynamics (CFD), particularly using OpenFOAM, to understand complex flow-sediment interactions. He is an Associate Editor of the Journal of Hydraulic Engineering (ASCE) and has served on editorial boards of Journal of Geophysical Research – Earth Surface (AGU). He is a member of professional organizations including ASCE, IAHR, CSCE, and AGU, and has held leadership roles such as Secretary of the River Hydraulics Division at IAHR. Professor Rennie currently supervises multiple graduate students, including Yi Man, Xiatong Cai, Qingcheng Yu, and others, supporting research in sediment dynamics and hydraulic modeling. He has secured research funding for projects related to river flooding, ice processes, and habitat restoration. His teaching includes CVG3116 (Hydraulics), CVG4001 (Introduction to Civil Engineering Design), CVG4907 (Design Project), CVG5162 (River Hydraulics), and CVG5160 (Sediment Transport). His research has been conducted globally, with collaborations in New Zealand, Switzerland, Spain, and China, where he has led field campaigns and trained researchers in spatial mapping of water and sediment fluxes. He has applied his expertise to major flood events, including the 2013 Alberta flood and the 2017–2019 Ottawa River floods.

Harry WilliamsView profile

Professor

• Coastal Geomorphology
• Paleotempestology
• Hurricane Sedimentation
• +3 more

Dr. Harry Williams is a Professor in the Department of Geography and the Environment at the University of North Texas (UNT). He is an editorial board member of the Journal of Coastal Research and conducts research at the intersection of geomorphology, natural hazards, and human-environment interactions. Research Interests Dr. Williams specializes in coastal geomorphology, with a focus on hurricane storm surge sedimentation, paleotempestology (study of ancient storms), and the impacts of urbanization on physical environments. His fieldwork-driven research spans Texas, Louisiana, Thailand, South Korea, and Vietnam, using GIS, GPS, modeling, and remote sensing as key methodologies. Coastal Geomorphology : Fire Island, NY, before/after Hurricane Sandy Sedimentation Studies : Coastal marshes, floodplains, and historical storm records Climate-Hazard Interactions : Holocene climate changes and tropical cyclone variability Scientific Contributions Editorial board member of Journal of Coastal Research Published 17 peer-reviewed articles (2005-2019) on hurricane sedimentation, coastal evolution, and GIS applications Developed fieldwork-centered research frameworks for student thesis projects Academic Mentorship Dr. Williams actively mentors students through research opportunities, emphasizing professional development via conference presentations and co-authorship of journal articles. His courses include: Geology 1610: Physical Geology Geography 1710: Earth Science Geography 4350/5350: Geomorphology Foundations of Geographical Thought