Find Academic Supervisors

• Geohazards
• Landslides
• Debris flows
• +5 more

Scott McDougall is an Associate Professor in the Department of Earth, Ocean & Atmospheric Sciences at the University of British Columbia (UBC). He specializes in geohazards, particularly landslides and related risks, with a focus on improving risk assessment and mitigation strategies. His work integrates field data, statistical analysis, numerical modeling, and laboratory experiments to understand landslide dynamics. Education: PhD in Geological Engineering, UBC (2006) BASc in Civil Engineering, University of Toronto (1998) Research Interests: Landslide mobility and runout modeling Tailings dam breaches and their impacts Risk evaluation frameworks for geohazards Shoreline erosion and landslide-generated waves Applications of machine learning in hazard prediction Key Contributions: Development of the UBC Geohazards Research Team to advance landslide risk reduction Leadership in the CanBreach project to improve tailings dam breach analysis Pioneering probabilistic runout prediction models for rock avalanches and debris flows Awards: Engineering Geology Best Paper Award 2024 CDA Published Paper Award Advising & Grants: Supervised over 15 graduate students and postdoctoral fellows Active industry collaborations with mining and engineering firms Funded by NSERC, Mitacs, and industry partnerships Labs & Teams: UBC Geohazards Research Team CanBreach Collaborative Research and Development Project

Ghassan AlRegibView profile

Professor

• Machine Learning
• Image and Video Processing
• Computer Vision
• +7 more

Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.

Benjamin RicaudView profile

Associate Professor

• Machine Learning
• Graph Signal Processing
• Explainable AI
• +3 more

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference. Ricaud's research spans: Fundamental ML : Graph signal processing, explainable AI, and generative models Applications : Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation Emerging domains : Self-supervised learning and biological data analysis using Raman spectroscopy His recent publications (2020-2025) cluster in three domains: Graph ML methodologies (35%) Biomedical/biological applications (40%) Geoscience/climate informatics (25%) with consistent focus on interpretability and real-world data challenges. Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.

Nikolaos NikiforakisView profile

Professor

• High Performance Computing
• Numerical Algorithms
• Computational Fluid Dynamics
• +4 more

Prof Nikolaos Nikiforakis is a Professor at the University of Cambridge, leading the Laboratory for Scientific Computing at the Cavendish Laboratory. He holds roles including Director for Academic Programmes of the Centre for Scientific Computing, Course Director of the MPhil in Scientific Computing, and Deputy Director of the EPSRC Centre for Doctoral Training in Computational Methods for Materials Science. He is also a Fellow and Director of Studies in Mathematics at Selwyn College, Cambridge. He directs The Gianna Angelopoulos Programme for Science Technology and Innovation. He holds a BSc in Aeronautical Engineering from the University of Manchester, followed by an MSc in Aerospace Propulsion and a PhD in 'Evolution of Detonation Waves' from Cranfield Institute of Technology. His postdoctoral research at the University of Cambridge’s Department of Chemistry focused on computational models for stratospheric ozone depletion. He later founded the Laboratory of Computational Dynamics at the Department of Applied Mathematics and Theoretical Physics before joining the Cavendish Laboratory in 2008. His research focuses on numerical algorithms and High Performance Computing for multi-physics simulations involving complex systems of nonlinear PDEs. Applications span detonation dynamics, plasma physics, and materials science, with industry collaborations for software development. His work addresses multi-scale, multi-physics problems previously deemed intractable, with practical applications in aerospace, energy, and environmental fields. He leads academic programmes in scientific computing and supervises doctoral research through the EPSRC CDT. His contributions bridge fundamental science and industrial innovation, emphasizing computational methods for materials and fluid dynamics.

Matty MookerjeeView profile

Professor

• Structural Geology
• Fault Zone Kinematics
• Cyberinfrastructure Development
• +4 more

Matty Mookerjee is a Professor and Department Chair of the Department of Geological Sciences at Sonoma State University. He is a structural geologist specializing in three-dimensional kinematics of fault and shear zones. His contact email is matty.mookerjee@sonoma.edu , and his office hours are Monday 9-11 AM and Tuesday 1-2 PM in Darwin 123. Education Ph.D. in Geological Science, University of Rochester (2005) M.S. in Geological Science, University of Rochester (2001) B.A. in Geology, Oberlin College (1999) Indiana University Summer Field Camp (1999) His research integrates structural geology with cyberinfrastructure development, focusing on quantitative analysis of fault zones using grain shape and crystallographic texture studies, alongside creating digital tools for field data management. Recent projects span the San Andreas Fault, Denali Fault, Himalayas, and Rosy Finch Shear Zone. Mookerjee's publications highlight analog modeling of fault asperities, strain analysis in tectonic zones, and cyberinfrastructure tools for geological data. He has mentored students in collaborative research projects, particularly in kinematic studies and data repository development.

Hermann M. FritzView profile

Professor

• Tsunamis
• Coastal hazards
• Hurricane storm surges
• +7 more

Hermann M. Fritz is a full Professor at the Georgia Institute of Technology within the College of Engineering's School of Civil and Environmental Engineering. With expertise spanning tsunamis, coastal hazards, hurricane storm surges, landslides, and submarine volcanic eruptions, his research focuses on the fluid dynamics aspects of these natural hazards and their mitigation strategies. Dr. Fritz earned his Doctorate degree (Dr. sc. ETH Zurich) in 2002 from the Swiss Federal Institute of Technology in Zurich. His extensive field experience includes leading or participating in more than a dozen post-disaster reconnaissance campaigns across multiple continents, documenting tsunami events from the 2004 Indian Ocean tsunami through the 2017 Greenland event, and hurricane surveys from Hurricane Katrina (2005) to Hurricane Nate (2017). His research integrates physical modeling with field observations, with recent work focusing on tsunamis generated by submarine volcanic eruptions, as evidenced by his development of a unique volcanic tsunami generator for large-scale wave basin experiments. His publication record shows consistent high-impact research in natural hazard science, with a particular emphasis on understanding wave generation mechanisms, coastal inundation patterns, and sediment transport processes during extreme events. Among his notable recognitions is the Plinius Medal from the European Geosciences Union (2014), highlighting his significant contributions to natural hazard research. His work bridges fundamental fluid dynamics with practical applications for coastal protection and disaster risk reduction. Plinius Medal, EGU (European Geosciences Union) - 2014 Dr. Fritz has mentored numerous students through his research projects, though specific names aren't provided in the available information. His collaborative approach is evident through his extensive co-authorship network spanning multiple institutions worldwide. Current research directions include advanced physical modeling of tsunami generation mechanisms, particularly those related to volcanic activity and landslides, as well as improving coastal resilience against extreme events. His laboratory work at Georgia Tech involves sophisticated experimental setups including large three-dimensional wave basins and specialized generators for simulating complex natural phenomena under controlled conditions. This experimental approach complements his extensive field survey experience, creating a powerful research methodology that connects theoretical understanding with real-world observations.

Daohong QiuView profile

Associate Professor

• Geotechnical Engineering
• Underground Engineering
• Structural Health Monitoring
• +2 more

Daohong Qiu is an Associate Professor and Master Tutor at the Geotechnical and Structural Engineering Center, School of Civil Engineering, Shandong University. His research focuses on advanced geological prediction in tunnels, surrounding rock stability, structural health monitoring for urban rail transit, and TBM tunneling performance optimization. Position: Associate Professor Affiliation: School of Civil Engineering, Shandong University Email: qiudh@sdu.edu.cn Research Interests: He specializes in geotechnical engineering challenges related to underground construction, including rock burst prediction , disaster control , and machine learning applications in geological modeling. His work emphasizes integrating advanced computational methods like quantum genetic algorithms and RBF neural networks with field data to improve tunnel safety and efficiency. Publication Trends: His recent 2019 studies address subsea tunnel risk assessment , rock burst prediction in underground caverns, and machine learning-driven surrounding rock classification . Earlier works (2014-2015) explore SVM/GA-SVM for geological disaster forecasting, while pre-2010 papers focus on optimization theory and stress field analysis. Patent Contributions: He holds multiple invention patents for geological prediction devices, including three-dimensional geological network modeling , seismic signal detection , and concrete elevation control systems .

• Saturated-unsaturated water flow coupling simulation
• Surface-groundwater interaction
• Polluted gas intrusion simulation
• +3 more

Dr. Liang Xiuyu is an Assistant Professor (Associate Researcher) and doctoral supervisor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). He joined SUSTech in February 2018 and has been serving as Assistant Professor since January 2021. Prior to SUSTech, he was an Associate Researcher at Nanjing University's Center for Hydrosciences Research from 2015-2018. His academic journey includes a Ph.D. in Hydrology and Water Resources from Nanjing University (2009-2012), an M.S. in Geological Engineering from Anhui University of Science and Technology (2005-2008), and a B.S. in Resources and Environment from the same institution (2001-2005). Dr. Liang's educational background demonstrates a strong foundation in water resources and geological engineering. His research focuses on saturated-unsaturated water flow coupling simulation, surface-groundwater interaction, polluted gas intrusion simulation, and stochastic theory of groundwater flow and solute transport. He has published over 60 scientific papers, with more than 30 as first or corresponding author in leading journals including Water Resources Research, Environmental Science & Technology, and Water Research. His work addresses critical issues in groundwater resources and environmental protection, particularly the interfacial hydrodynamic processes between different water systems. Analysis of Dr. Liang's recent publications reveals a consistent focus on the fundamental mechanisms of groundwater flow and solute transport. His research demonstrates sophisticated analytical and numerical modeling approaches to understand complex hydrological processes, with particular emphasis on temporal scaling characteristics, coupled flow systems, and interactions between surface water and groundwater. The work spans theoretical developments, field applications, and practical solutions to environmental challenges. 2025 Shandong Science and Technology Progress Second Prize 2024 SUSTech Outstanding Doctoral Dissertation Supervisor Award 2024 SUSTech 8th Young Teacher Teaching Competition Second Prize 2024 SUSTech College of Engineering Outstanding Young Talent Cultivation Program 2023 SUSTech Admissions Advanced Individual 2022 Geological Science and Technology Bulletin Outstanding Young Editorial Board 2018 Shenzhen Overseas High-level Talents 2018 Shenzhen Nanshan Pilot Talent 2018 & 2016 Journal of Hydrology Outstanding Reviewer Dr. Liang has successfully led multiple research projects, including National Natural Science Foundation of China grants and national water pollution control projects. He serves as deputy editor for prestigious journals including Journal of Hydrology (2025-), Vadose Zone Journal (2020-), and Stochastic Environmental Research and Risk Assessment (2019-). His academic service extends to committee memberships with the Chinese Hydraulic Engineering Society and international organizations including the American Geophysical Union. Dr. Liang teaches undergraduate and graduate courses in groundwater hydrology and spatial statistics, contributing to the education of next-generation hydrologists. Dr. Liang maintains an active research group at SUSTech focused on groundwater resources and environmental protection. His team investigates critical issues including surface-groundwater interactions, unsaturated-saturated flow coupling, and gas migration processes in porous media. The research has practical applications for water resource management, pollution control, and environmental protection in China and globally.

Marc-Andre BrideauView profile

Adjunct Professor

• Engineering Geology
• Geohazards
• Landslides
• +3 more

Marc-Andre Brideau serves as an Adjunct Professor in the Department of Earth Sciences at Simon Fraser University while maintaining active industry engagement at BGC Engineering Inc. His expertise centers on engineering geology and geohazard risk assessment, with extensive fieldwork conducted across British Columbia, Yukon, Alberta, and New Zealand. Dr. Brideau integrates multidisciplinary methodologies including field investigations, laboratory testing, remote sensing technologies, and advanced numerical modeling to address complex slope stability challenges and landslide dynamics. Research interests focus on geohazards—particularly landslides and rock avalanches—with emphasis on quantitative risk assessment frameworks. His work incorporates climate change impacts, extreme weather events, and infrastructure vulnerability through methodologies like interferometric radar (InSAR), LiDAR analysis, and three-dimensional numerical simulation. Key contributions include developing practical hazard mapping tools and risk management protocols for pipeline corridors, transportation infrastructure, and community safety in geologically active regions. Analysis of recent publications (2021-2025) reveals consistent trends toward applied geohazard assessment in changing environmental conditions. His studies prioritize case-specific analyses of significant Canadian and New Zealand landslides, employing integrated approaches that combine remote sensing data with geotechnical monitoring to refine runout prediction models and susceptibility mapping. This research directly informs improved risk analysis standards for industry and government agencies. Professional activities demonstrate strong industry-academia collaboration through BGC Engineering Inc., where Dr. Brideau contributes to geohazard assessment projects requiring multidisciplinary teams of geologists, engineers, and remote sensing specialists. While formal student advisement isn't documented in source materials, his career trajectory spanning research institutes, academia, and consulting firms highlights a commitment to translating theoretical research into practical geohazard management solutions. Current work leverages advanced geotechnical tools for monitoring and modeling, particularly addressing climate change implications for slope stability.

• Tectonics
• Structural Geology
• 3D Geological Modelling
• +3 more

Laurent Ailleres is a Senior Lecturer at Monash University's School of Earth Atmosphere and Environment. He holds a role as a Senior Research Fellow in the School of Geosciences. His research focuses on tectonics, structural geology, 3D geological modeling, and integration of geophysical datasets. Key projects include three-dimensional Bayesian modeling of geological/geophysical data (ARC-funded), ore body modeling (AMIRA P1249), and improving usability of Loop3D software (Auscope). Research Interests: Laurent's work spans tectonic boundaries, structural analysis using aeromagnetic data, 3D multi-scale modeling, and geophysical inversion techniques. He emphasizes combining geological and geophysical datasets to advance mineral exploration and crustal architecture understanding. Recent Articles: His 2022 work on Paleoproterozoic gold events in West Africa and 2021 studies on automated geological mapping and LoopStructural software showcase his contributions to 3D modeling and geophysical integration. Articles often address fault modeling, structural overprinting, and igneous intrusion analysis. Grants & Collaborations: Leads multiple ARC, CRC, and industry-funded projects. Collaborations span institutions globally, focusing on mineral systems, crustal dynamics, and open-source geoscience tools. Labs/Teams: Central to the Loop Project team developing LoopStructural software. Engaged with international research networks for 3D geological modeling applications.

Philippe RiviereView profile

Researcher

• Radiative Heat Transfer
• Computational Fluid Dynamics
• Natural Convection
• +3 more

Philippe Riviere is an active researcher specializing in computational modeling of coupled heat transfer phenomena, with expertise spanning radiative transfer, natural convection, and plasma dynamics. His work focuses on the intricate interactions between fluid flow and radiation in complex systems including differentially heated cavities, atmospheric re-entry scenarios, and geological formations like shallow caves. His research interests center on developing advanced numerical models for radiation-convection coupling under extreme conditions. Key areas include turbulent flow regimes in cubic enclosures, non-equilibrium radiation effects in hypersonic flows, and multi-physics interactions involving moisture transport and Joule heating. He employs sophisticated techniques like Proper Orthogonal Decomposition, Large Eddy Simulation, and reduced-order modeling to analyze thermal instabilities and energy transfer mechanisms across varying Rayleigh numbers. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on Rayleigh-Bénard convection under radiative effects, with significant contributions to modeling atmospheric re-entry phenomena and plasma applications. His work consistently addresses the computational challenges of spectral radiation modeling in turbulent media, demonstrating methodological innovations in subgrid-scale modeling and spectral vanishing viscosity approaches. Scientific Awards: No awards or honors mentioned in provided publication records Advising and Grants: No student advisement information available No grant funding details provided in publication metadata Labs and Teams: No laboratory affiliations or research team structures described Collaborative work indicates connections with VKI plasmatron facility and researchers specializing in gas radiation (Soufiani, Perrin, Soucasse)

• Groundwater Hydrology
• Contaminant Transport
• Hydraulic Tomography
• +5 more

Walter Illman is a Professor of Physical and Contaminant Hydrogeology at the University of Waterloo's Department of Earth and Environmental Sciences, Faculty of Science. He has been actively engaged in research and teaching since completing his PhD at the University of Arizona in 1999. Illman is a member of The Water Institute at the University of Waterloo and teaches courses including Flow and Transport Through Fractured Rocks (EARTH 439), Physical Hydrogeology (EARTH 458), Physical Processes in Groundwater Systems (EARTH 650), and Flow and Transport in Fractured Rock (EARTH 658). His educational background includes a PhD in Hydrology and Water Resources from the University of Arizona (1999) and a BSc (Honours) in Earth Sciences from the University of Washington (1994). Professor Illman specializes in groundwater hydrology, with particular expertise in both saturated and unsaturated zones. His research employs mathematical modeling (both analytical and numerical), laboratory experiments, and field investigations to understand fluid flow and contaminant transport in porous and fractured geologic media. Key areas of focus include Dense Non-Aqueous Phase Liquid (DNAPL) source zone characterization, geostatistical inverse modeling, bioremediation, natural attenuation of organic contaminants, and hydraulic tomography for aquifer characterization. His work bridges theoretical hydrogeology with practical applications for groundwater management and contamination remediation. Illman's publication record demonstrates a sustained focus on hydraulic tomography as a method for characterizing aquifer heterogeneity, with increasing attention in recent years to integrated surface water-groundwater modeling and climate change impacts on water resources. His research spans laboratory experiments, field investigations, and mathematical modeling across various hydrogeological settings. Among his notable recognitions are the 2003 Outstanding Paper award at the International Symposium on Groundwater Problems Related to Geo-Environment, the 2002 American Geophysical Union Editors' Citation for Excellence in Refereeing, and several prestigious fellowships during his doctoral studies at the University of Arizona. Professor Illman has supervised numerous graduate students working on advanced topics in hydrogeology and has secured research funding to support his laboratory and field investigations. His work often involves collaboration with researchers at other institutions to address complex groundwater contamination problems. His research group maintains laboratory facilities for conducting controlled experiments on fluid flow and contaminant transport, and regularly conducts field studies to validate theoretical models and investigate real-world groundwater systems.

Carlos Paredes BartolomeView profile

Associate Professor

• Fractal Geometry in Earth Sciences
• Coastal Cliff Recession Modeling
• Volcanic and Seismic Hazard Analysis
• +4 more

Carlos Paredes Bartolome is a Spanish Associate Professor at the Department of Geological and Mining Engineering within the Technical University of Madrid's School of Mining Engineering . His research integrates fractal geometry with structural geology to analyze complex earth systems. Active since 1999 (Titular Universidad) Member of Ingeniería de Georrecursos y Modelización research group since 2008 Key research areas include: Fractal analysis of fault distributions Volcano-tectonic interactions Coastal cliff recession modeling Rockfall susceptibility mapping CO2 geological storage characterization Historical photogrammetry applications His most recent work focuses on: Tsunami impact simulations Ground deformation monitoring Morphometric analysis of karst depressions Stress field reconstruction Caldera collapse dynamics Three-dimensional fracture network modeling Contact: carlos.paredes@upm.es

• Geological Modeling
• 3D Geophysical Modeling
• Structural Geology
• +3 more

Lachlan Grose is a Research Fellow at Monash University's School of Earth Atmosphere and Environment, specializing in advanced geological and geophysical modeling. His work focuses on integrating machine learning, 3D structural analysis, and geophysical inversion techniques to address challenges in subsurface resource management and tectonic understanding. Key projects include the Three-dimensional Bayesian Modelling of Geological and Geophysical data (ARC-funded) and development of the LoopStructural software, a time-aware 3D geological modeling platform. Grose also contributes to industry collaborations like the AMIRA P1249 project on ore body knowledge modeling. Research interests span structural geology, igneous intrusion modeling, FAIR data principles, and geophysical inversion methods. He has led efforts to improve usability of Loop3D and pioneered machine learning applications for geological structure imaging. Leading developer of LoopStructural (open-source 3D modeling framework) Primary investigator on usability improvements for geoscientific workflows Recipient of ARC and industry grants totaling over AUD 3M Supervises PhD candidates focusing on interdisciplinary geoscience problems Recent publications emphasize transdimensional inversion methods, FAIR data integration, and application of machine learning to geophysical datasets. His work bridges academic research with industrial subsurface resource challenges.

• Structural Geology
• Geodynamics
• Seismotectonics
• +7 more

Carmelo Giovanni Monaco is a Full Professor of Structural Geology and Geodynamics at the Department of Biological, Geological, Environmental Sciences, University of Catania. Born in Catania on January 15, 1963, he has established himself as a leading expert in structural geology, seismotectonics, and active tectonics with over 180 scientific publications. His research spans from field-based structural analysis to advanced geophysical and remote sensing techniques, focusing on the Mediterranean region, particularly Sicily, Calabria, and Crete. Degree in Geological Sciences with honors from University of Catania (1981-1986) PhD in Tectonics and Structural Geology at University of Camerino (1988-1992) Researcher of Geology at Catania University (1992) Associate Professor (1998) Full Professor (2002) Monaco's research initially focused on structural geology and regional tectonics of collisional systems with thrusts and folds, evolving toward morphotectonics and active tectonics. His work examines Quaternary structures, Pleistocene marine terraces, and paleo-shorelines to understand uplift rates and active fault contributions to regional deformation. Recent research extends to geo-archaeology of Mediterranean sites and geological risk assessment along coastal areas related to sea-level rise and tsunamis. He has led extensive geological mapping projects including the Italian Geological Map at 1:50,000 scale for multiple regions. His publication record shows consistent output with significant recent contributions in active fault analysis, seismic hazard assessment, and tectonic modeling. The most recent articles demonstrate interdisciplinary approaches combining field geology, geophysics, remote sensing, and archaeological evidence to understand active deformation processes in the Mediterranean. Key themes include the Calabrian Arc subduction system, Ionian slab dynamics, and the relationship between active faults and historical seismicity. Scopus H-index: 42 Google Scholar H-index: 50 Coordinator of multiple PhD programs (2003-2014) Head of Department (2014-2019) Board member of Italian Geological Society (2012-2019) Monaco has supervised numerous PhD students as coordinator of multiple doctoral programs and has been principal investigator for significant research projects including CARG geological mapping initiatives and PRIN research programs on active fault systems. His leadership extends to institutional roles including Department Head and academic senator at University of Catania, as well as participation in national seismic hazard assessment programs. He maintains active research collaborations through CRUST (Inter-University Center for Three-Dimensional Seismic-Tectonic Analysis) and INGV (National Institute of Geophysics and Volcanology), focusing on integrated approaches to understanding active tectonics and seismic hazards in the Mediterranean region.