Find Academic Supervisors

Oriol Guasch FortunyView profile

Professor

• Computational Acoustics
• Aeroacoustics
• Graph Theory in Vibroacoustics
• +3 more

Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source

• Remote Sensing
• Forest Ecology
• Terrestrial Laser Scanning
• +3 more

Mark Danson is a Professor at the University of Salford's School of Science, Engineering & Environment, specializing in remote sensing and forest ecology. His research focuses on developing terrestrial laser scanning technologies for vegetation analysis and ecological monitoring. He leads work on the Salford Advanced Laser Canopy Analyser (SALCA) system and contributes to global environmental databases like Globe-LFMC. His research explores vegetation structure measurement, lidar technology development, and ecological applications of remote sensing. Key interests include forest canopy analysis, plant moisture estimation, wildfire risk assessment, and climate change impacts on ecosystems. Recent work advances 3D forest modeling and validation of satellite-derived ecological parameters. The publication record demonstrates consistent focus on terrestrial laser scanning methodologies and forest applications. Research trends show progression from instrument development (dual-wavelength lidar systems) toward large-scale ecological validation studies and global dataset creation for climate monitoring. Danson leads technology development initiatives including the SALCA instrument design and calibration. Collaborative work appears through international projects like the Global Ecosystem Dynamics Investigation validation studies.

Mark van der MeijdeView profile

Professor

• Earth Sciences
• Geophysics
• Satellite Geophysics
• +6 more

Mark van der Meijde is a Full Professor of Geophysics at the University of Twente, leading the Department of Earth Systems Analysis (ITC-ESA). His research focuses on Earth structure imaging through satellite geophysical sensors, with expertise in crustal dynamics, seismic methods, and geohazard analysis. He holds an MSc from Utrecht University and a PhD from ETH Zurich. Research interests include satellite geophysics integration, seismic imaging, and applications in resource exploration and disaster risk reduction. Key contributions include the ECM24 global crust model and studies on crustal composition in Africa and the Mediterranean. He has supervised 14 academic works and contributed to datasets on geothermal manifestations and landslide monitoring. Notable awards include the 2017 ECIU European award for Innovation in Teaching and Learning. His work aligns with UN Sustainable Development Goals related to climate action and clean energy. Recent activities include organizing the NEEDS conference and presenting on crustal imaging techniques. Labs/Teams: Active in the Earth Systems Analysis department at ITC, leading projects on seismic tomography, unmanned geophysical sensing, and global crustal modeling.

Andreas EnglertView profile

Researcher

• Hydrogeology
• Hydrogeophysics
• Groundwater Flow Modeling
• +4 more

Dr. Andreas Englert is a Senior Scientist at the Department of Applied Geology , Martin Luther University of Halle-Wittenberg, and a Lecturer at the University of Cologne. His work bridges hydrogeology and hydrogeophysics.

Paul SavaView profile

Professor

• Seismic Imaging
• Planetary Geophysics
• Wavefield Tomography
• +5 more

Paul Sava is a Professor and C.H. Green Chair of Exploration Geophysics at the Colorado School of Mines, serving as Department Head of Geophysics since 2019. He holds a PhD in Geophysics from Stanford University (2005), an MSc from Stanford (1998), and an Engineer Geophysicist degree from the University of Bucharest (1995). His research focuses on seismic and radar wavefield imaging, planetary geophysics, and infrastructure monitoring. Notable contributions include advancements in wave-equation migration and planetary radar tomography. Education: PhD in Geophysics, Stanford University, 2005 MSc in Geophysics, Stanford University, 1998 Engineer Geophysicist, University of Bucharest, 1995 Research interests emphasize wavefield-based methods for subsurface imaging, planetary resource exploration, and autonomous data acquisition. Recent work explores seismic imaging of asteroids and Mars, leveraging orbital radar systems. His publications span seismic inversion, microseismic monitoring, and elastic wavefield tomography. Awards include the Reginald Fessenden Award (2007), T.K. Young Leadership Award (2020), and multiple Top 30 presentations at SEG Annual Meetings. He leads the Center for Wave Phenomena and actively collaborates with NASA and industry consortia on grants totaling over $6 million. Advising and grants involve mentoring over 30 students and postdocs, with grants focused on planetary radar imaging, seismic FWI, and Mars subsurface analysis. Key projects include the Planetary Orbital Radar Processing and Simulation System (PORPASS) and autonomous seismic exploration systems. Labs/Teams: Directly leads the Center for Wave Phenomena and the Seismic Imaging Team at CWP, advancing open-source tools like Madagascar for reproducible geophysical research.

Jonathan Ajo-FranklinView profile

Professor

• Applied Geophysics
• Seismic Imaging
• Timelapse Seismology
• +5 more

Jonathan Ajo-Franklin is a Professor in the Department of Earth, Environmental and Planetary Sciences at Rice University, specializing in applied geophysics. His research focuses on seismic acquisition and monitoring to address subsurface challenges in energy systems, CO2 mitigation, and water resource management. He leads the Ajo-Franklin Lab, leveraging distributed fiber optic sensing (DAS) and dark fiber infrastructure for dense seismic data collection. Education: B.A. in Computer Science/History (Rice University, 1998), M.S. and Ph.D. in Geophysics (Stanford University, 2003–2004). His work spans geothermal energy, carbon storage, and cryosphere dynamics, with projects like the EGS Collab initiative and collaborations with DOE and industry partners. Recent publications emphasize DAS applications in fracture monitoring, geothermal systems, and subsurface imaging. Key research areas include timelapse seismology, rock physics, and the integration of seismic data with environmental challenges. Ongoing projects explore geothermal reservoir imaging, CO2 leakage detection, and permafrost thaw monitoring using DAS. The lab’s tools include dark fiber networks, permanent seismic sources, and ambient noise analysis.

• Inverse Problems
• Seismic Imaging
• Full Waveform Inversion
• +3 more

Mohamed Aziz Boukraa is a postdoctoral researcher at the Applied Mathematics Unit (UMA) of Institut Polytechnique de Paris , working with the IDEFIX team on collaborative projects with EDF . His work focuses on interface imaging problems in electricity production sites, particularly the dam-rock foundation interface using non-destructive seismic waves and Full Waveform Inversion . His research spans inverse problems in applied mathematics, with a focus on: Biharmonic equation regularization techniques Cauchy problem solutions for thin plate theory Finite element method implementations Seismic wave propagation modeling Shape optimization for imaging Key publications demonstrate: Novel fading regularization algorithms DKQ plate elements for structural analysis High-resolution dam-rock interface imaging Noise-robust inversion methods Applications in hydroelectric infrastructure diagnostics Advancements in metric resolution imaging

• Applied Geophysics
• Seismics
• Geophysical Data Processing
• +6 more

Dr. Thomas Hertweck is a Researcher at the Geophysical Institute (GPI) of Karlsruhe Institute of Technology (KIT), specializing in Applied Geophysics and seismics from data acquisition to processing. He has been involved in teaching geophysical laboratory exercises, professional internships, and courses such as Introduction to Reflection Seismics and Seismic Data Processing . Prior to joining KIT, he spent over 12 years in the seismic industry as a geophysical researcher, software developer, R&D manager, and head of an R&D department. Research Interests : Applied geophysics, seismic data processing, high-performance computing in geophysics, full waveform inversion, reflection seismics, and true-amplitude migration techniques. His work focuses on enhancing seismic imaging through innovative algorithms and software development. Recent Publications : His research covers diverse topics including rift basin development, velocity analysis strategies, negative frequency significance, and advanced seismic stacking methods. These publications highlight his expertise in seismic data processing, waveform inversion, and tectonic studies. Committee Involvement : He serves on the Examination Board of the KIT Faculty of Physics, the Admissions Committee for the Master's Program in Geophysics, and the editorial board of the Journal of Seismic Exploration.

• Computational Mathematics
• Inverse Scattering
• Wave Propagation
• +2 more

Alexander Mamonov is an Associate Professor in the Department of Mathematics at the University of Houston's College of Natural Sciences and Mathematics. He holds a Ph.D. in Computational and Applied Mathematics from Rice University and a Diploma with Distinction from Lomonosov Moscow State University. His research focuses on computational mathematics, inverse problems, wave propagation, and model order reduction. His research interests span computational mathematics, inverse scattering, wave propagation, model order reduction, and numerical linear algebra, with applications in geophysical imaging and scientific computing. Mamonov's publications demonstrate sustained focus on inverse problems and model reduction techniques, with recent work advancing tensor-based methods for parametric systems and data-driven approaches for waveform inversion. His articles consistently integrate mathematical theory with computational applications in wave propagation and imaging. Mamonov has received the ICERM Research Fellowship and maintains active research collaborations, including visiting positions at the University of Coimbra and ICERM. He coordinates the Seminar on Computational Mathematics in Oil & Gas Exploration and Imaging.

Stefano MarelliView profile

Lecturer

• Uncertainty Quantification
• Scientific Software Design
• Surrogate Modeling
• +5 more

Dr. Stefano Marelli is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, affiliated with the Risk, Safety, and Uncertainty Quantification Chair. He holds a MSc in Physics (University of Milano Bicocca, 2006) and a PhD in Applied and Environmental Geophysics (ETH Zurich, 2011). His research focuses on uncertainty quantification (UQ), surrogate modeling, reliability analysis, and Bayesian inversion, with applications in engineering, astrophysics, and economics. He leads the development of UQLab, a general-purpose UQ software framework, and collaborates on interdisciplinary projects like HIPERWIND. Key research areas include high-dimensional UQ, stochastic simulators, and surrogate modeling for dynamical systems. Recent work emphasizes multifidelity methods, Bayesian tomography, and noise-aware reliability analysis. He teaches structural reliability and risk analysis at ETH and contributes to international UQ training programs. Education: MSc Physics (Milano Bicocca, 2006); PhD in Geophysics (ETH Zurich, 2011) Roles: Senior Scientist (2018–present); Postdoc (2012–2018) Software: UQLab, UQ [py] Lab Collaborations: Cross-disciplinary projects in astrophysics, mechanical engineering, and remote sensing His articles (2020–2025) highlight advancements in surrogate modeling, Bayesian inversion, and UQ applications. Notable contributions include frameworks for noisy data analysis, time-variant reliability, and industrial fragility assessment.

• Tectonics
• Geophysics
• Seismic Analysis
• +3 more

Dr. Rebecca Bell is a Lecturer in Geology and Geophysics at Imperial College London, part of the Faculty of Engineering. She holds a PhD in Marine Geophysics from the University of Southampton and a Master's in Earth Science from the University of Oxford. Her research focuses on tectonic evolution, utilizing seismic and drilling data to study subduction zone fault mechanics and rift development. Key affiliations include the Basins Research Group, the Grantham Institute, and the Imperial Centre for Geohazards. Her work addresses critical questions such as controls on subduction zone fault behavior and the dynamics of continental rifting. Recent projects include deploying seismometers in New Zealand to study slow slip events and leveraging machine learning for earthquake hazard assessment. She has held prestigious roles like the Imperial College Research Fellowship (2012–2017) and editorial positions in journals like Basin Research . Teaching accolades include winning the Best Feedback Award in 2013 and being shortlisted in 2016. Her research has been widely featured in media outlets like Nature World News and Aljazeera America . Her publications span seismic imaging, CO2 migration, and fault mechanics, reflecting her interdisciplinary approach. Ongoing initiatives include fully funded PhD and postdoctoral positions investigating subduction zone seismic behavior, emphasizing fault zone properties and their societal implications.

Antoine GuittonView profile

Adjunct Professor

• Geophysics
• Seismic Imaging
• Full-Waveform Inversion
• +3 more

Antoine Guitton is an Adjunct Professor at Stanford University, specializing in geophysical signal processing and seismic imaging. His research focuses on advanced seismic data processing techniques, including full-waveform inversion, compressive sensing, and the mitigation of artifacts in seismic surveys. He is affiliated with Stanford's geophysics program and can be contacted at aguitton@stanford.edu. Key research interests include wavefield tomography, anisotropic media analysis, and machine learning applications in geophysics. His work addresses challenges such as Doppler effect correction in marine vibrator data, nonstationary statistical modeling, and fault classification using distributed acoustic sensing (DAS). Recent contributions include studies on salami publications in scientific ethics and the optimization of seismic data acquisition systems under field constraints. His publications span over two decades, demonstrating expertise in both theoretical and applied aspects of geophysical exploration.

Juliette ChabassierView profile

Researcher

• Acoustics
• Mathematical Modeling
• Numerical Analysis
• +3 more

Juliette Chabassier is a Researcher at the MAGIQUE-3D project team within Inria Bordeaux Sud-Ouest and affiliated with Université de Pau et des Pays de l'Adour . She holds a Ph.D. in Applied Mathematics from École Polytechnique (2012), advised by Patrick Joly and Antoine Chaigne. Roles: Junior Research Scientist (since 2013), Post-Doc at University of Pau (2012-2013) Research Focus: Acoustics of musical instruments, wave propagation modeling, numerical simulation of piano and wind instruments, energy-preserving discretization schemes, and viscothermal effects in ducts. Her work emphasizes physical modeling and computational acoustics , particularly in piano acoustics, wind instrument design, and heritage instrument digitization. She develops tools like OpenWind for simulating instrument responses and collaborates on projects involving piano soundboard analysis and historical instrument reconstruction. Her recent articles explore topics such as: Simulation of brass instruments using finite element models Thermoviscous effects in conical tubes Energy-conserving discretization for nonlinear wave equations Digital twins for heritage instruments like Besson trumpets She advises doctoral students including Elvira Shishenina and Izar Azpiroz , focusing on applied mathematics and acoustics. Her contributions include advanced numerical methods for acoustic-elastic coupling and boundary layer phenomena in exponential media. Current projects involve homogenization techniques for porous materials, real-time instrument simulation tools, and interdisciplinary work on acoustics education through open-source software.

Laura ErmertView profile

Researcher

• Seismic Interferometry
• Ambient Noise Monitoring
• Computational Seismology
• +3 more

Dr. Laura Ermert is an Established Researcher at the Swiss Seismological Service (SED) of ETH Zurich. Her work focuses on computational seismology, ambient noise monitoring, and seismic interferometry. She holds a PhD from ETH Zurich (2013–2018) under Prof. Andreas Fichtner, followed by postdoctoral positions at the University of Washington, Harvard University, and the University of Oxford. Her research explores shallow structure monitoring, basin resonances, and the influence of ocean microseism sources on ambient noise cross-correlation amplitudes. She has contributed to projects like the DEEP initiative for geothermal reservoir modeling and collaborated on Mexico City basin subsidence studies funded by the Packard Fellowship. Dr. Ermert co-developed Python tools like noisi for ambient noise analysis and pioneered methods for ambient seismic source inversion. Her studies include modal analysis of Alpine valley resonances and global-scale ambient noise inversion. She actively promotes gender equity in seismology through collaborative initiatives.

Nur YazdaniView profile

Professor

• Structural Engineering
• Bridge Engineering
• Fiber-Reinforced Polymer (FRP) Composites
• +6 more

Nur Yazdani is a Professor of Civil Engineering at the University of Texas at Arlington , affiliated with the College of Engineering. Her research focuses on structural engineering, non-destructive evaluation (NDE), fiber-reinforced polymer (FRP) composites for infrastructure, and hazard mitigation in coastal and wind/flood-prone regions. Bridge Engineering Concrete Durability Fire and Corrosion Resilience Machine Learning for Structural Prediction Her recent work emphasizes machine learning models for concrete strength prediction, flood mitigation in residential coastal buildings, and hybrid applications of CFRP/GFRP laminates for retrofitting bridges and concrete components. She leads the NSRI Lab , addressing infrastructure resilience through experimental and numerical studies. Scientific Awards : NSF RET Program Evaluation She integrates interdisciplinary education into her research, including collaborations with biology and architecture in classroom implementations for bridge deck evaluation and coastal resilience.