Find Academic Supervisors

Majid Taie SemiromiView profile

Researcher

• Groundwater modeling
• Surface-groundwater interactions
• Isotope hydrology
• +3 more

Majid Taie Semiromi is a Postdoctoral Researcher at the Hydrogeology Group, Institute of Geological Sciences, Department of Geosciences, The Free University of Berlin. His work integrates groundwater modeling, climate change impacts, and data-driven algorithms in hydrogeological simulation. Ph.D. in Civil Engineering-Geohydrology (University of Kassel, Germany, 2018) M.Sc. in Watershed Management Engineering (Tarbiat Modares University, Iran, 2010) B.Sc. in Range and Watershed Management Engineering (Gorgan University, Iran, 2007) His research focuses on groundwater modeling, surface-groundwater interactions, isotope hydrology, and the application of machine learning to forecast climate change impacts on water resources. He has led projects on drought monitoring and developed hybrid models for hydrological analysis. Scientific awards include DFG funding (2020–2023), DAAD scholarship (2014–2018), and a 2015 fellowship for drought workshops in China. He has advised M.Sc. and Ph.D. students on topics like kettle hole impacts, groundwater drought indices, and climate change in Iranian basins.

Suihong SongView profile

Research Fellow

• Machine Learning
• Geosciences
• Reservoir Engineering
• +3 more

Suihong Song is a Research Fellow at Stanford University's Energy Resources Engineering department, affiliated with the Stanford Center for Earth Resources Forecast (SCERF). He collaborates closely with Professor Tapan Mukerji, focusing on integrating machine learning with geosciences. His work emphasizes reservoir characterization, geomodelling using generative adversarial networks (GANs), physics-informed neural networks (PINNs), and applications in subsurface flow simulations, CO2 storage, and hydrocarbon exploration. Education includes a Ph.D. from China University of Petroleum (2021), a visiting Ph.D. at Stanford (2020), and earlier degrees from China University of Petroleum-Beijing (B.Eng. 2013, M.Eng. 2017). His research bridges computational methods with geoscience challenges, notably through the GANSim framework, widely adopted by companies like ExxonMobil. Key research areas include machine learning-driven reservoir modeling, porous media flow simulations, decision-making under uncertainty, and geological interpretation of well logs and seismic data. His publications highlight advancements in stochastic modeling, neural operator applications, and interdisciplinary approaches between geophysics and geology. Contact: suihong@stanford.edu .

Ryan MulliganView profile

Associate Professor

• Coastal Engineering
• Nearshore Oceanography
• Hydrodynamics
• +5 more

Ryan Mulligan is an Associate Professor in the Department of Civil Engineering at Queen's University, affiliated with the Smith School of Engineering. He serves as Research Director at the GeoEngineering Centre and holds a cross-appointment with the Beaty Water Research Centre. His research focuses on coastal engineering and nearshore oceanography, particularly the physical forces shaping coastal regions under extreme events like hurricanes. He contributes editorially to Journal of Geophysical Research - Oceans and explores marine renewable energy impacts. Dr. Mulligan earned his PhD from Dalhousie University (2008), M.A.Sc from the University of British Columbia (1999), and B.A.Sc from Queen's University (1997). His work integrates field observations and numerical models to study coastal processes across spatiotemporal scales, including wave dynamics, sediment transport, and coastal resilience. Recently, he has investigated storm surge modeling in Lake Erie, hurricane-induced coastal erosion, and tidal energy systems in the Bay of Fundy. His research highlights the interaction between nearshore hydrodynamics and geomorphology, with particular attention to macrotidal environments and climate change adaptation strategies. Key applications include managed dyke realignment for flood mitigation and experimental analysis of landslide-generated tsunamis.

Gabriel PasquetView profile

Research Fellow

• Carbon Sequestration
• Enhanced Oil Recovery
• Seismicity
• +3 more

Gabriel Pasquet is a Postdoctoral Fellow at the Bureau of Economic Geology, University of Texas at Austin. His work focuses on carbon sequestration, enhanced oil recovery, and seismicity, with a strong emphasis on Permian Basin studies and the energy-water nexus. Current affiliation: Bureau of Economic Geology, University of Texas at Austin Position: Research Fellow Pasquet's research spans multiple disciplines, including: Carbon storage security and CO2 injection methodologies Seismic risk assessment from fluid injection activities Hydrological modeling integrating satellite data and machine learning Basin tectonics and stress field characterization Permafrost dynamics in Arctic environments Coastal system modifications and sediment transport Recent publications highlight his expertise in: Geological CO2 sequestration optimization Seismotectonic analysis of Midland Basin Formate-based oil recovery techniques Environmental impacts of energy development His work frequently intersects with: Energy economics Geophysical monitoring Reservoir characterization Machine learning applications in hydrology

Michael GooseffView profile

Professor

• Hydrology
• Environmental Engineering
• Polar Climate Change
• +3 more

Dr. Michael Gooseff is a Professor at the University of Colorado Boulder in the Department of Civil, Architectural & Environmental Engineering , where he also serves as Co-Director of the Hydrologic Sciences Graduate Program and Associate Dean for Research in the College of Engineering. His research focuses on stream-groundwater interactions , biogeochemical cycling , and polar ecosystem responses to climate change . PhD, MS, and BCE in Civil Engineering from University of Colorado and Georgia Tech Lead Principal Investigator of McMurdo Dry Valleys LTER Research spans Arctic Alaska (Toolik Field Station) and Antarctica , with recent work on Alaskan river discharge trends , Aufeis thaw dynamics , and chemostasis in polar streams . His lab develops innovative methods using UAVs , geophysical imaging , and tracer experiments . Scientific awards include: Fellow of the Geological Society of America (2018) Robert L. Stearns Award (2022) Outstanding Teaching Award (2012) He has advised 15+ graduate students and contributed to major NSF-funded projects in hydrologic connectivity , permafrost degradation , and groundwater-surface water exchange across diverse environments including the Colorado River and McMurdo Dry Valleys .

Antoine TonnoirView profile

Lecturer

• Analysis
• PDE
• Modelling
• +7 more

Antoine Tonnoir is a Lecturer at INSA Rouen Normandie, affiliated with the INSA Mathematics Laboratory (LMI), where he focuses on numerical modeling, partial differential equations (PDEs), numerical analysis, inverse problems, and wave propagation in unbounded domains. His work includes applications in ultrasonic non-destructive testing (NDT), medical imaging, and geophysical studies. His research spans collaborations with institutions such as University of Geneva POEMS LMI M3DISIM CEREMA INRIA and projects like ANR COSS (Control on Stratified Structures), DEFHY3GEO (coastal erosion), and INSA Exploratory Project (NDT simulation tools). Recent publications highlight his work on reciprocity gap methods for source identification infinite element modeling for geophysics Schwarz decomposition for Helmholtz equations transparent boundary conditions in waveguides non-local traffic flow models with keywords spanning applied mathematics, computational physics, and inverse problems. He co-supervises doctoral students in inverse problems and wave propagation, and develops the 2D/3D finite element code PyLGRIM for linear PDEs and geophysical applications. His teaching includes courses in numerical analysis, ODEs, topology, and optimization at INSA Rouen’s STPI and GM departments.

• Nonlinear Model Predictive Control
• Offshore Drilling Automation
• Power Systems Control
• +3 more

Lars Struen Imsland is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU) since 2009. He holds a PhD and MSc in Engineering Cybernetics from NTNU, with research focusing on nonlinear model predictive control, offshore drilling automation, and power systems. His career includes roles at Cybernetica AS, SINTEF ICT, and NTNU as a PostDoc and doctoral student. Research interests span control systems engineering, CO2 capture technology, and estimation in automotive applications. He chairs committees for international conferences like DYCOPS-CAB and ACOOG, and serves as Associate Editor for IEEE Transactions on Control Systems Technology. Key achievements include the Arch T. Colwell Merit Award (2008) and Automatica Outstanding Reviewer recognition (2004). He has advised over 10 PhD committees and contributed to pioneering work in MPC for wind farms, hybrid energy systems, and oil well modeling. Publications emphasize interdisciplinary applications of control theory, with recent focus on Bayesian optimization for wind farms, physics-informed neural networks for oil well monitoring, and stochastic MPC for renewable energy integration.

Ashraf Ahmed MohamedView profile

Senior Lecturer

• Civil Engineering
• Environmental Engineering
• Artificial Intelligence
• +7 more

Dr. Ashraf Ahmed Mohamed is a Senior Lecturer in Civil Engineering at the Department of Civil and Environmental Engineering, Brunel University London. He holds a BSc, MEng, and PhD in Civil Engineering from the University of Manchester and has previously served as a Lecturer at Queen’s University Belfast. His research focuses on integrating Artificial Intelligence and Deep Learning into Environmental Engineering to address challenges related to coastal aquifers , groundwater hydrology , and climate change impacts . Professionally, he is a Chartered Engineer (CEng), Chartered Environmentalist (CEnv), and Chartered Water and Environmental Manager (C.WEM). He serves as a member of the Chartered Institution of Water and Environmental Management (CIWEM) accreditation panel, assessing CEng and CEnv applications. Awarded grants exceeding £9 million from EU, EPSRC, Newton, and Innovate UK, his current project WE-ACT (€526,864, 2023–2026) involves developing machine learning models for water management in transboundary river basins in Central Asia. His research also explores digital infrastructures , stochastic modeling , and structural health of earthfill dams and levees . Scientific Awards: Fellow member of CIWEM (FCIWEM) Fellow of the Higher Education Academy (FHEA)

Ioannis ChatzisView profile

Professor

• Interfacial Phenomena
• Colloids & Porous Media
• Separation Processes
• +18 more

Ioannis Chatzis is a Professor at the University of Waterloo, with a focus on interfacial phenomena, porous media, and heavy oil recovery. His research spans environmental engineering, chemical engineering, and petroleum engineering, addressing challenges in energy systems, CO2 sequestration, and fluid dynamics in fractured media. Education: Doctorate in Chemical Engineering (University of Waterloo, 1979) Master's in Chemical Engineering (University of Waterloo, 1976) Bachelor's in Chemical Engineering (University of Waterloo, 1974) Research Trends: Over the past 15 years, his work has emphasized enhanced oil recovery (EOR) techniques like SAGD, VAPEX, and ASP flooding. He also explores CO2 sequestration, asphaltene precipitation modeling, and microfluidics for subsurface applications. Recent publications include energy system analysis in the Middle East and thermodynamic modeling for hydrogen production. Scientific Collaboration: Chatzis frequently collaborates with researchers in petroleum engineering, chemical processing, and environmental technologies, as evidenced by co-authorships in applied thermodynamics and reservoir simulation studies.

John TellamView profile

Professor

• Hydrogeology
• Groundwater Chemistry
• Environmental Geochemistry
• +4 more

John Tellam is a Professor of Hydrogeology at the University of Birmingham’s School of Geography, Earth and Environmental Sciences. His research focuses on solute and particle transport in groundwater, particularly in sandstone aquifers, with recent projects addressing nanoparticle and virus movement in groundwater, and biogeochemical processes in nuclear waste contexts. He holds a BSc from the University of Southampton and MSc/PhD from the University of Birmingham. Teaching roles include modules in Pollution Hydrogeology, Engineering Geology, and MSc Hydrogeology course coordination. His research utilizes the Water Sciences group’s facilities, including on-campus borehole arrays. He has supervised nearly 50 doctoral researchers and is actively involved in professional organizations like the Geological Society of London and the EPSRC review college. Research interests include laboratory and field experimentation, with recent studies on ion exchange reactions, particle-virus interactions, and lithofacies correlations. His work addresses critical issues like groundwater security and contaminant dynamics in urban environments.

Michael OristaglioView profile

Researcher

• Energy Geoscience
• Geophysical Remote Sensing
• Carbon Sequestration
• +3 more

Michael Oristaglio is a Senior Research Scientist/Scholar and Lecturer in Earth & Planetary Sciences at Yale University. He co-founded the Energy Studies Multidisciplinary Academic Program and served as Executive Director of the Yale Climate & Energy Institute (YCEI). His research focuses on geologic carbon sequestration, geophysical remote sensing, and seismic imaging. He leads SEAM (Society of Exploration Geophysicists Applied Multidisciplinary) projects addressing seismic exploration, reservoir management, and AI applications in geophysics. He has managed major initiatives like SEAM Land Seismic Challenges (2011–2016), SEAM Time Lapse (2016), and SEAM Life of Field (2016–2019), collaborating with industry and government agencies. Current projects include SEAM AI, exploring AI in geophysical exploration and environmental monitoring. Oristaglio teaches courses on energy technologies, fossil fuels, renewables, and capstone projects. His work bridges academic research with industrial applications in energy systems and sustainable resource management.

Dylan IrvineView profile

Researcher

• Groundwater Hydrology
• Hydrological Tracers
• Coastal Hydrogeology
• +6 more

Dr. Dylan Irvine is an Outstanding Future Researcher at Charles Darwin University , affiliated with the Faculty of Science and Technology and the Research Institute for Environment and Livelihoods . His work focuses on groundwater hydrology, employing innovative tracer techniques and numerical modeling to address critical water resource challenges. Stygofauna controls (2024) Global groundwater warming (2024) Coastal hydrogeology (multiple projects) Software development for groundwater analysis With over 55 research outputs and 17 projects since 2012, Dr. Irvine has developed specialized tools like PyTFLUX and BDFLUX for analyzing groundwater fluxes. His recent 2025 publications include comprehensive assessments of climate change impacts on Northern Territory ecosystems and novel approaches to groundwater recharge mapping . While not explicitly listing formal awards, his work contributes to UN Sustainable Development Goals 6, 13, and 14, focusing on clean water, climate action, and life below water. Current projects include rain-fed cotton resilience in Northern Australia, Great Artesian Basin studies, and continental-scale groundwater analysis using Australia-wide hydrogeochemical data. Dr. Irvine actively supervises HDR students and collaborates with multidisciplinary teams across Australia, Germany, and the US.

Jeffrey BeesonView profile

Assistant Professor

• Plate Boundary Tectonics
• Submarine Volcanism
• Methane Seepage
• +3 more

Jeffrey Beeson is an Assistant Professor at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences. His research focuses on seafloor and subseafloor imaging to explore plate boundary tectonics, methane seepage, and submarine volcanism. He is actively involved in deep-sea exploration using advanced geophysical techniques, including multibeam sonar, AUV surveys, and seismic imaging. Beeson's work emphasizes understanding the dynamic processes at mid-ocean ridges, subduction zones, and hydrothermal systems. He has led and contributed to numerous expeditions, including studies of the Mid-Atlantic Ridge and Cascadia Margin. His recent projects investigate Axial Seamount's eruptive cycles, methane seep distributions, and the structural evolution of active margins. Beeson collaborates with international teams to integrate geodetic, geochemical, and geophysical data for comprehensive Earth system analysis. Research interests include: Volcanism and magma dynamics at mid-ocean ridges Fluid flow and methane seepage in subduction zones Seafloor geodetic monitoring and deformation analysis Hydrothermal vent geochemistry and mineralization His articles highlight advancements in seafloor mapping, eruption forecasting, and tectonic process modeling. Beeson's contributions to the CASIE21 seismic imaging project have improved understanding of Cascadia subduction zone structure. He is also involved in public outreach through ocean exploration initiatives like the R/V Elakha.

Kyung Jae LeeView profile

Associate Professor

• Reactive transport in porous media
• Multiscale subsurface modeling
• Lithium extraction from brines
• +5 more

Kyung Jae Lee is an Associate Professor in the Department of Petroleum Engineering at the University of Houston's Cullen College of Engineering. His research focuses on reactive transport modeling in subsurface systems, with particular emphasis on lithium extraction from shale brines and nuclear waste disposal barriers. He holds a Ph.D. from Texas A&M University (2014) and has led projects funded by NSF, ACS PRF, and industry partnerships. Key research interests include multiscale modeling of subsurface processes, clay mineral behavior under thermal conditions, and data-driven reservoir simulation techniques. His work bridges computational models with experimental validations, addressing critical challenges in energy resources and environmental sustainability. Award-winning educator, Lee teaches graduate courses like Advanced Reservoir Simulation and Reservoir Characterization. Over 20 scientific awards highlight his contributions to petroleum engineering and environmental geoscience. His lab collaborates with national labs like Lawrence Berkeley National Laboratory and industry partners for translational research.

Andrey BakulinView profile

Research Professor

• Geophysics
• Energy Economics
• Carbon Sequestration
• +3 more

Andrey Bakulin is a Research Professor at the Bureau of Economic Geology , part of the University of Texas at Austin in the College of Natural Sciences . His work focuses on Geophysics , Energy Economics , and Environmental Geology , with expertise in hydrocarbon recovery, carbon sequestration, and seismic monitoring. Email: andrey.bakulin@beg.utexas.edu Research Interests Carbon Capture Utilization and Storage (CCUS) Permian Basin Seismicity and Structural Analysis Hydrocarbon Recovery Optimization Environmental Impact Assessment for Energy Projects Remote Sensing in Hydrogeology Climate Change Mitigation through Geological Solutions Selected Publications (2025-2019) His recent work includes studies on: CO2 injection workflows for storage security Permian Basin seismotectonics Arctic permafrost dynamics Shale reserve assessments These publications span Geophysics , Environmental Geology , and Energy Economics , with sub-fields including reservoir characterization, seismic risk assessment, and sustainable resource management.