جستجوی استاد راهنمای دانشگاهی

Christophe Anceyمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Rheology
• Hydraulics
• +۶ مورد دیگر

Christophe Ancey is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he serves in the School of Architecture, Civil and Environmental Engineering (ENAC), specifically in the Institute of Civil Engineering (IIC) and the Environmental Hydraulics Laboratory (LHE). He also holds teaching appointments in SGC-Teaching and EDME-Teaching departments at EPFL. His office is located at GC A1 401, Station 18, 1015 Lausanne, Switzerland. Dr. Ancey holds both a PhD and engineering degree from Ecole Centrale de Paris and Grenoble National Polytechnic Institute. After completing his doctoral work (1994-1997) on rheology of granular flows under Pierre Evesque, he worked as a researcher at Cemagref before joining EPFL in 2004. He directs the Environmental Hydraulics Laboratory and serves as associate editor for Water Resources Research, a leading journal in hydrology. Dr. Ancey's research spans fluid dynamics, rheology, and hydraulics with emphasis on geophysical flows and natural hazards. His work focuses on three interconnected themes: rheology of concentrated suspensions (particularly granular flows in avalanches and mudflows), inverse problems in rheology (determining microscopic behavior from macroscopic measurements), and particle entrainment in turbulent suspensions (erosion and sediment transport processes). His recent publications (2022-2025) demonstrate continued innovation in sediment transport modeling, experimental techniques like PIV for complex flows, and integration of machine learning approaches. The research shows progression from fundamental fluid mechanics to practical applications in natural hazard assessment and river engineering, with particular attention to granular segregation, avalanche-obstacle interactions, and river morphodynamics. Associate Editor, Water Resources Research Co-founder of Toraval, an engineering consulting firm specializing in avalanche risk management Dr. Ancey teaches courses on Fluid Mechanics, Flood and Dam Break Waves, Hydrological Risks and Structures, and Similarity and Transport Phenomena in Fluids. He has supervised numerous PhD students whose work spans environmental hydraulics, granular flows, and sediment transport, with current students including Chen Yanan, Farazande Sofi, and Giboulot Axel Loïc among others.

• Seismology
• Geophysics
• Antarctic Ice Sheet Dynamics
• +۳ مورد دیگر

Dr. Thanh-Son Pham is an ARC DECRA Research Fellow in the Geophysics Department at The Australian National University’s Research School of Earth Sciences. His research focuses on using seismic waves to study Earth’s interior structures, from polar ice sheets to the inner core. He has pioneered methods like teleseismic P-wave coda autocorrelation and coda correlation wavefield analysis, leading to breakthroughs such as detecting J-waves in the inner core and identifying an innermost inner core layer. His work has been featured in Science , Nature Communications , and international media. He holds a PhD from ANU (2019) and has supervised research projects on Antarctic seismology and earthquake source physics. Awards include the 2024 Zatman lectureship from SEDI. Current projects include probing Antarctic ice sheets via correlation seismology and advancing machine learning tools for deep Earth studies. Education: PhD in Geophysics (ANU, 2019), Graduate Diploma in Earth System Physics (ICTP, 2015), BSc in Applied Mathematics (Hanoi University, 2013) Research interests span seismic source inversion, Antarctic ice dynamics, and inner core anisotropy. His 2024 articles address Hunga Tonga eruption mechanics and PKIKP wave analysis using deep learning. Media highlights include BBC, NYT, and ANU press releases.

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.

Joseph Katzمشاهده پروفایل

استاد

• Experimental Fluid Mechanics
• Cavitation Phenomena
• Multiphase Flow
• +۳ مورد دیگر

Joseph Katz is the William F. Ward Distinguished Professor of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering and a member of the National Academy of Engineering. His research focuses on experimental fluid mechanics, multiphase flow, cavitation phenomena, and advanced optical diagnostics. He directs the Laboratory for Experimental Fluid Dynamics and co-founded the Johns Hopkins Center for Environmental and Applied Fluid Mechanics. Key research areas include: - Turbulent boundary layers and compliant wall interactions - Cavitation dynamics in turbomachinery - Environmental fluid dynamics (oil spills, oceanic flows) - Medical imaging applications of fluid mechanics - Turbomachinery flow control (axial compressors) His work has been funded by agencies including the Office of Naval Research, NSF, NASA, and DOE. Over 150+ journal papers, 220+ conference papers, and 7 patents reflect his prolific output. Notable awards include the ASME Fluids Engineering Award and fellowships from ASME and APS. Key Contributions: - Developed novel optical diagnostics techniques - Advanced understanding of tip clearance flows in compressors - Studied oil dispersion mechanisms in marine environments - Pioneered holographic PIV for 3D flow visualization

Fan-Chi Linمشاهده پروفایل

دانشیار

• Seismic Interferometry
• Seismic Tomography
• Earth Structure Analysis
• +۶ مورد دیگر

Fan-Chi Lin is an Associate Professor in the Department of Geology and Geophysics at the University of Utah. With expertise in seismic methods and earth structure analysis, Dr. Lin leads research in seismic interferometry and tomography to understand Earth's structure from shallow to deep. Dr. Lin earned a Ph.D. in Geophysics from the University of Colorado Boulder in 2009. Since then, they have established themselves as a leading researcher in seismic methods development and application. Dr. Lin's research focuses primarily on seismic interferometry and seismic tomography. Seismic interferometry is a method that extracts useful information from diffusive wavefields (like ambient noise and coda wavefields) that were traditionally considered unusable noise. Their work has demonstrated that signals extracted through seismic interferometry provide important new constraints on Earth structure across various scales. This research has applications in studying 3D sedimentary basin structure, regional/continental crust and upper mantle structure, volcano magma bodies, and deeper mantle and core structure. As a member of the University of Utah, Dr. Lin also applies these techniques to model the 3D structure of the Salt Lake Valley and the geometry of the Wasatch fault system to better understand seismic hazards in the area. Analysis of Dr. Lin's recent publications (2021-2025) reveals a strong focus on applying dense seismic arrays and advanced processing techniques to study geological structures. Their work spans multiple geographical areas including Yellowstone National Park, the Wasatch fault system, Taiwan, Hispaniola Island, and the Wyoming Craton. The research demonstrates expertise in Rayleigh wave analysis, ambient noise tomography, and joint inversion techniques. A notable trend is the increasing use of dense linear arrays and double beamforming techniques to achieve higher resolution imaging of subsurface structures. Dr. Lin maintains an active research program with numerous collaborations across institutions. Their work has been featured in high-impact journals including Nature, Science, and Geophysical Research Letters, with several papers receiving media attention from outlets like BBC Science Focus, Discover Magazine, and Phys.org. Dr. Lin leads the "noise.earth.utah.edu" research group, which focuses on developing and applying seismic noise-based methods for Earth structure imaging. The lab utilizes both permanent and temporary seismic arrays to study various geological settings, with particular emphasis on geothermal systems, fault zones, and volcanic regions.

Andy Nicholsمشاهده پروفایل

مدرس ارشد

• Water Infrastructure
• Sensor Development
• Infrastructure Management
• +۷ مورد دیگر

Dr. Andy Nichols serves as Senior Lecturer in Water Engineering and Director of the General Engineering interdisciplinary degree programme at the University of Sheffield's School of Mechanical, Aerospace and Civil Engineering. Since joining the department in 2015, he has established expertise in water infrastructure management, sensor development, and railway drainage systems through industry collaborations and EPSRC-funded research. His research integrates novel sensing technologies with AI-driven asset management to improve water infrastructure efficiency and safety. Key interests include optical/acoustic sensor development for water industry applications, hydraulic process modeling, asset degradation prediction, and machine learning-based railway drainage management. His work bridges laboratory experimentation with field deployments through partnerships with Network Rail, local authorities, and the Sensors for Water Interest Group (SWIG), which he chairs as founder. Recent publications reveal strong emphasis on computational fluid dynamics, sensor innovation, and data-driven approaches for urban drainage and railway infrastructure. His work connects environmental fluid mechanics with practical engineering solutions for flood risk management, water quality monitoring, and sustainable drainage systems development. Scientific recognition includes: 21st Harold Jan Schoemaker Award for best paper in Journal of Hydraulic Research Royal Academy of Engineering Industrial Fellowship in Railway Drainage Infrastructure Management Outstanding Teaching Award (Sheffield Students' Union, 2018) Multiple early-career awards (CIWEM, IAHR, SWIG, 2012) Fellow of the Higher Education Academy Dr. Nichols secures significant research funding including Horizon 2020's Co-UD Labs project for collaborative urban drainage research and a KTP with Hydro International for sediment monitoring in stormwater systems. He actively supervises PhD students while developing interdisciplinary teaching methods for fluid mechanics and engineering design. He contributes to multiple research groups: Water - Environmental Fluid Mechanics, SuDS and Urban Drainage, Water - Catchments & River Engineering, and Resources, Infrastructure Systems & Built Environment, maintaining strong connections with Pennine Water Group and Sheffield Water Centre.

Roméo Courbisمشاهده پروفایل

پژوهشگر

• Seismology
• Geophysics
• Ambient Noise Tomography
• +۳ مورد دیگر

Dr. Roméo Courbis is a University Researcher at the Department of Geosciences and Geography, Institute of Seismology, University of Helsinki. His work focuses on advanced seismic methodologies including ambient noise tomography, distributed acoustic sensing (DAS), and passive seismic monitoring techniques. Previously, he served as a Post-Doctoral Researcher at Université Grenoble-Alpes (2017–2018) and as a geophysicist/research engineer at Sisprobe Inc (2018–2023). Education : Master of Science in Computer Science (Université de Franche-Comté, 2007), Master of Science in Geophysics (Université Grenoble-Alpes, 2017), Doctor of Philosophy in Computer Science (Université de Franche-Comté, 2011) Courbis specializes in Seismology and Geophysics , with technical expertise in Ambient Noise Tomography , DAS Data Processing , Seismic Imaging , and Instrumentation . His recent publications emphasize applications of passive seismic monitoring for subsurface fluid dynamics, structural defect detection, and geological hazard assessment. He manages the FLEX-EPOS mobile Finnish Seismic Instrument Pool , a collaborative infrastructure for seismic data acquisition. Key trends in his research include: Integration of DAS with traditional seismic methods Development of ambient noise-based imaging algorithms Time-lapse monitoring of subsurface processes Applications in geohazard detection and civil engineering Courbis has contributed to 17 total research outputs since 2008 and currently leads a project funded by K.H. Renlunds Stiftelse (2025–2028) titled Toward integration of seismic interferometry .

Hao Huمشاهده پروفایل

استادیار

• Geophysics
• Seismic Imaging
• Wave Propagation
• +۷ مورد دیگر

Hao Hu is an Assistant Professor in the Department of Geosciences at the University of Oklahoma's School of Geosciences (Mewbourne College of Earth and Energy). Previously, he served as a Senior Research Geophysicist at TGS and a Research Assistant Professor at the University of Houston. His office is located in the Sarkeys Energy Center, Room 754. Dr. Hu earned his Ph.D. in Geophysics from the Institute of Geology and Geophysics at the Chinese Academy of Sciences in Beijing and completed his undergraduate studies in Geophysics at Yunnan University in Kunming, China. His research focuses on using seismic signals and methods to address critical challenges in energy exploration and subsurface understanding. Specifically, he investigates how to balance climate change and energy consumption through exploration of geothermal/fossil resources and CO2 geological storage, solve scientific problems in understanding subsurface structures from shallow to deep, and conduct fundamental studies of seismic theory and algorithms. His work spans exploration of unconventional/conventional resources, understanding subsurface structures using seismic signals, and fundamental theory studies of seismic wave propagation, imaging, and inversion. Dr. Hu's recent publications demonstrate strong activity in seismic fracture characterization, imaging techniques, surface wave analysis, and machine learning applications in geophysics. His work shows a clear progression toward more sophisticated computational methods and interdisciplinary approaches combining traditional geophysics with modern machine learning techniques. Postdoctoral travel award (2019) Excellent Graduate student award (2014) Excellent paper award (2013) Dr. Hu has secured significant research funding from NSF, DOE, and industry partners including TGS and Aramco. His current projects include elastic full waveform inversion and imaging with TGS, and previously he was involved in research on heterogeneity signatures of mantle phase changes, seismic elastic double-beam characterization of faults/fractures for CO2 storage, and detecting fracture zones using convolutional neural networks. He has served as a reviewer and guest editor for over 80 manuscripts in professional journals including Geophysics, Geophysical Prospecting, and IEEE TGRS.

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.

Paula Marques Figueiredoمشاهده پروفایل

استاد پژوهش

• Active Tectonics
• Earthquake Geology
• Tectonic Geomorphology
• +۴ مورد دیگر

Paula Marques Figueiredo is an Assistant Research Professor and Lab Manager at NC State University's Department of Marine, Earth, and Atmospheric Sciences, part of the College of Sciences. She specializes in active tectonics, earthquake geology, and tectonic geomorphology, applying geochronology methods like optical stimulated luminescence (OSL) and cosmogenic nuclides. Her research focuses on crustal deformation, fault systems, and natural hazards, particularly earthquakes. She has studied the 2020 Mw 5.1 Sparta earthquake in North Carolina and active faults in California, Nevada, and Portugal. Education: PhD in Geology from the University of Lisbon (2015). Research Interests: Combines structural geology, paleoseismology, and remote sensing to analyze tectonic processes. Key projects include uplifted coastal landforms in Iberia, slip-rate studies on faults like the San Andreas and Calico, and seismic hazard assessments in low-tectonic-rate regions. Lab and Affiliations: Collaborates with the Instituto Dom Luiz (Lisbon University) and serves as Early Career Representative for the INQUA TERPRO Commission. Manages geochronology labs at Jordan Hall and Varsity Research facilities. Recent Work: Investigates rupture dynamics of the Sparta earthquake, precariously balanced rocks for seismic hazard, and mantle-driven uplift in Iberia. Her research bridges field observations with geochronological and geophysical analyses to advance understanding of tectonic and seismic processes.

Gangbing Songمشاهده پروفایل

استاد

• Structural health monitoring
• Non-destructive testing
• Wind energy
• +۷ مورد دیگر

Dr. Gangbing Song is a Moores Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston , where he has been a tenured Full Professor since 2008. He previously served as an Assistant Professor (1998–2002) and Associate Professor with Tenure (2002–2008) at the University of Houston. Ph.D. , Mechanical Engineering, Columbia University, 1995 M.S. , Mechanical Engineering, Columbia University, 1991 B.S. , Energy Engineering, Zhejiang University, 1989 His research spans structural health monitoring , machine learning , and smart materials , focusing on non-destructive testing , wind energy , and structural vibration control . Recent work includes entropy-based fault diagnosis , underwater bolt monitoring , and upcycling of wind turbine blades in a circular economy framework. Dr. Song has secured over $3.2 million in external funding (including 13 NSF awards) and established the Smart Materials and Structures Laboratory . He has published 96 peer-reviewed journal papers , 191 conference papers , and holds 3 U.S. patents . Outstanding Technical Contribution Award (ASCE, 2008) NSF CAREER Award (2001) Best Paper Award (Earth and Space’08) General Chair, ASCE Earth and Space Conference (2010) He has advised 13 Ph.D. and 31 M.S. students , delivered 10 keynote speeches , and developed educational programs including a remote laboratory and REU initiative . His work integrates robotics , smart sensors , and data-driven algorithms for structural integrity and sustainability applications.

Chuanbin Zhuمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Earthquake Engineering
• Engineering Seismology
• +۷ مورد دیگر

Dr. Chuanbin Zhu is an Assistant Professor in Geotechnical Engineering at Northumbria University 's Faculty of Engineering and Environment. He holds a PhD in Civil Engineering from Queensland University of Technology (2018) and has worked at prestigious institutions including GFZ German Research Centre for Geosciences (2018-2022) and University of Canterbury (2022-2024). Research Focus: Earthquake hazard assessment through site effects characterization, physics-based simulations, and machine learning Key Contributions: Horizon 2020 SERA project (European seismic hazard model), New Zealand NSHM project Academic Service: Journal reviewer, Guest Editor for SCI journals, and session organizer at major seismology conferences Research Interests Dr. Zhu specializes in earthquake site effects , focusing on: Site-effects characterization using observational data and simulations Subsurface property inversion with microtremor data Uncertainty quantification in seismic modeling Deep learning applications in engineering seismology Signal processing for seismic wave analysis Scientific Recognition Outstanding PhD Thesis Award (top 5%) from QUT Associate Fellow of the Higher Education Academy Publications Trends His recent work emphasizes machine learning integration with traditional seismology, focusing on site classification via neural networks, high-resolution site mapping , and hybrid simulation methods that combine physics and data-driven approaches. Geographic focus includes China, New Zealand, and Japan.

Mark Coughlanمشاهده پروفایل

استادیار

• Marine Geology
• Quaternary Geology
• Offshore Renewable Energy
• +۳ مورد دیگر

Dr. Mark Coughlan is an Assistant Professor and Ad Astra Fellow in the School of Earth Sciences at University College Dublin (UCD). He is also a Funded Investigator at the SFI Centre for Research in Applied Geosciences (iCRAG) and a member of the Earth Institute. He holds dual email addresses at UCD and iCRAG. Coughlan holds a BSc in Geology (2009) and PhD in Marine Geology (2014) from University College Cork (UCC), with postgraduate research at MARUM Centre, University of Bremen. After his PhD, he worked in renewable energy with Gaelectric as a Project Manager in their Offshore Wind Section before returning to academia. His research focuses on seabed dynamics, glacial geology, and offshore renewable energy constraints. Key areas include Quaternary history of NW European shelves, seabed geotechnical characterization, and public engagement with marine science. He collaborates with experts in geotechnics, oceanography, and environmental humanities. Coughlan co-founded the MESSAGE interdisciplinary group at UCD and co-manages the UCD Geoscience Itrax Facility. He has secured grants for projects like QUEST (quantifying carbon storage in marine sediments) and ENACT (energy narratives in coastal communities). His teaching includes coordinating modules on Marine Geoscience and Earth Systems. Professional activities include membership in the European Association of Geoscientists and Engineers and the Geological Society of London. Notable achievements include discovering the Moytirra hydrothermal vent field (2013) and developing seabed mobility indices for offshore energy planning (2021). His work bridges geoscience with societal issues, such as climate change mitigation and public perception of marine resources.

• Seismic Inversion
• Full-Waveform Inversion (FWI)
• Geophysics
• +۳ مورد دیگر

Prof. Thomas Bohlen is a Professor at the Karlsruhe Institute of Technology (KIT), affiliated with the Geophysical Institute (GPI). He leads the GPI research group and is based at Campus West 06.36. His work focuses on advanced seismic imaging techniques, including Full-Waveform Inversion (FWI) and its applications in environmental geophysics, CO₂ sequestration, and glacial sediment characterization. He has contributed to developing numerical methods for seismic wave modeling and boundary conditions like perfectly matched layers (PML). Research Interests: His primary areas include seismic inversion methodologies, viscoelastic and poroelastic modeling, crosshole and surface seismic imaging, and integrating multi-source geophysical data (e.g., GPR and seismic) for subsurface characterization. Applications span CO₂ storage monitoring, glacial geology, and infrastructure safety assessments. Key Achievements: Over 100 peer-reviewed articles since 2013, focusing on FWI advancements, anisotropy detection in glacial sediments, and innovative numerical techniques. He collaborates on projects like the ICDP DOVE site and the Sleipner CO₂ reservoir. His work bridges computational geophysics with field applications, emphasizing high-resolution subsurface imaging. Labs/Teams: Active in the GPI, leading research on FWI and seismic tomography. Involved in the Toolbox for Applied Seismic Tomography (TOAST) and underground lab experiments at Freiberg Reiche Zeche.

• Seismology
• Earth's Interior
• Inverse Theory
• +۵ مورد دیگر

Professor Jeannot Trampert is a leading seismologist at Utrecht University's Faculty of Geosciences, where he serves as Professor of Seismology within the Department of Earth Sciences. His research group focuses on extracting information from ground motion recorded at global and regional seismic networks to produce three-dimensional models of the Earth's interior and seismic sources, primarily using high-performance computing approaches. With over 250 publications spanning decades, Trampert maintains an active research program with recent works published through 2025. Trampert's research expertise encompasses several critical areas of modern seismology: Theoretical and computational seismology Earthquake physics and analysis Earth's deep interior structure Inverse theory applications Machine learning in geophysical data analysis Mineral physics and Earth composition His recent publications demonstrate an increasing integration of machine learning techniques with traditional seismological methods, particularly for analyzing seismic data from the Groningen gas field in the Netherlands. Trampert's work bridges theoretical seismology with practical applications in monitoring induced seismicity, pore pressure changes, and temperature effects on seismic wave propagation. His research group actively collaborates with international partners on projects involving full-waveform inversion, mantle structure analysis, and seismic monitoring systems. Professor Trampert has supervised numerous students throughout his career, with university records indicating 29 supervised works. His research receives consistent funding through multiple grants, supporting both fundamental research and applied projects related to geohazards and resource extraction. He maintains active collaborations with institutions across Europe and participates in major research initiatives like EPOS-NL, the Dutch solid earth science infrastructure for georesources and geohazards research.