Subsurface Flow Forecasting Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 61-75 of 139 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Ankit ChakrabortyView profile

Research Fellow

University of Texas at AustinUnited States

Ankit Chakraborty is a Postdoctoral Fellow at the Bureau of Economic Geology, University of Texas at Austin. His research focuses on energy-environment intersections, including carbon capture and storage, unconventional resource recovery, and hydrological systems. Fields of Interest: Energy Research, Environmental Science, Geology, Hydrology Research Trends: Recent publications highlight CO₂ storage optimization, induced seismicity from energy operations, Arctic permafrost dynamics, and Permian Basin environmental impacts. His work combines field studies, geospatial analysis, and computational modeling. Contact: ankit.chakraborty@beg.utexas.edu

Official University Profile

Robert SchweppeView profile

Researcher

Helmholtz Centre for Environmental ResearchGermany

Robert Schweppe is a Researcher at the Department of Computational Hydrosystems , Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He has held this position since 2017, following prior roles as Project Engineer at HYDRON GmbH (2014-2017) and Research Assistant at UFZ (2013). Expertise in hydrological modeling using mHM, ECLand, LARSIM Developed pyflow configuration tools and MPR software for environmental data processing Key contributor to 4DHyro project integrating Earth Observation data with hydrological models His research interests span hydrological modeling , drought forecasting , machine learning applications , and climate change impacts on water systems. His 2022 publications on parameter regionalization and floodplain modeling demonstrate methodological innovations in environmental data analysis. Notable scientific recognitions include the Deutschlandstipendium scholarship (2012-2013) and Helmholtz Field Study Fellowship (2022). He collaborates extensively with European institutions on compound environmental risks and smart monitoring technologies .

Official University Profile

Rennie KaundaView profile

Associate Professor

Colorado School of MinesUnited States

Rennie Kaunda is an Associate Professor in the Department of Mining Engineering at the Colorado School of Mines (CSM), where he has been a faculty member since 2014. His work integrates rock and soil mechanics with computational modeling to advance sustainable mining practices. He leads the Mining Geotechnics Research Group, which focuses on innovation in ground control, slope stability, and environmental stewardship in mining operations. PhD, Western Michigan University (2007) MS, University of Arizona (2002) BS, University of Arizona (1999) Prof. Kaunda's research centers on rock and soil mechanics , particularly in slope stability , deep underground excavations , and environmental sustainability in mining . He is a pioneer in applying artificial neural networks and computational modeling to solve complex geotechnical problems in mining and civil engineering. His work spans from predicting blast fragmentation to modeling progressive landslides using limited field data. His recent publications reveal a strong trend in integrating machine learning and data-driven methods with traditional geomechanics. Topics include neural network applications in true triaxial stress analysis, landslide displacement modeling, and optimization of rock fragmentation. His research bridges fundamental mechanics with practical industrial applications, particularly in harsh and deep mining environments. WMU Research Grant David Kuenzi Award GSA Research Fellowship Phi Eta Sigma Honor Society Award ZAL Holdings Fellowship Prof. Kaunda is actively involved in mentoring students and leading interdisciplinary research projects through the Mining Geotechnics Research Group. While specific grant details are not listed, his collaborations with the US Army Corps of Engineers and extensive fieldwork across multiple continents suggest robust funding and industry partnerships. His work emphasizes training the next generation of engineers in sustainable and technologically advanced mining practices. He leads the Mining Geotechnics Research Group at CSM, which focuses on developing advanced technologies for sustainable mining. The group engages in multi-disciplinary research involving rock mechanics, hydrogeology, and computational modeling to improve safety, efficiency, and environmental outcomes in mining operations.

Official University Profile

Peter H. HenningsView profile

Research Professor

University of Texas at AustinUnited States

Peter H. Hennings serves as a Research Professor at the Bureau of Economic Geology (BEG), which is part of the Jackson School of Geosciences at the University of Texas at Austin. His work focuses on geophysical research with particular emphasis on seismology and energy-related geological studies. Dr. Hennings' research interests span multiple critical areas of geoscience including Geophysics , Seismology , Structural Geology , Energy Resources , Carbon Sequestration , and Induced Seismicity . His work addresses fundamental questions about earthquake mechanisms, particularly those related to energy production activities, and contributes to our understanding of subsurface processes critical for resource development and environmental protection. Analysis of his publication record reveals a strong focus on seismotectonic characteristics of the Midland Basin, wastewater injection-induced seismicity, and 3-D lithospheric structure mapping. His research demonstrates an interdisciplinary approach combining field observations, modeling techniques, and statistical analysis to address complex geological problems with practical implications for energy development and seismic hazard assessment. Dr. Hennings has contributed to significant research initiatives including the Center for Injection and Seismicity Research (CISR) and the Gulf Coast Carbon Center (GCCC), focusing on the intersection of energy production, geological storage, and seismic risk. His work supports critical energy and environmental decision-making through advanced geophysical analysis and contributes to the Bureau's mission of providing science-based solutions to geological challenges facing Texas and the nation.

Official University Profile

Holly R. BarnardView profile

Professor

University of ColoradoUnited States

Holly R. Barnard serves as Professor and Associate Dean of Research in the Geography Department at the University of Colorado Boulder's College of Arts and Sciences. She is also Co-Director of the Hydrologic Sciences Graduate Program and leads the Ecohydrology Lab, contributing to several major initiatives including the Dynamic Water critical zone project and Niwot Ridge Long-Term Ecological Research. Her educational background includes: PhD from Oregon State University (2009) MS from Colorado State University (2000) BS from University of Washington (1998) Dr. Barnard's research focuses on ecohydrology, specifically investigating how vegetation processes affect water flow dynamics in mountainous terrain and how water flow paths influence vegetation function. Her work integrates tree physiology and stable isotope geochemistry to examine evapo-transpiration partitioning, carbon-water dynamics in the critical zone, and micro-climate effects on tree function. She employs state-of-the-art techniques across scales from leaf to watershed to understand how land-use and climate changes impact water resources and ecosystems. Analysis of her recent publications reveals a strong emphasis on groundwater dynamics, critical zone processes, and mountain hydrology. Her work increasingly integrates remote sensing, interdisciplinary approaches, and human dimensions of environmental change, with a focus on Western US watersheds and climate change impacts on water resources. Her notable scientific achievements include: Excellence Award from Boulder Faculty Assembly (2021) National Science Foundation Post-doctoral Fellowship (2009) Horton Research Grant from American Geophysical Union (2007) Pre-doctoral Fellowship from Ford Foundation (2005) Minority Pipeline Fellowship from Oregon State University (2004) Dr. Barnard actively mentors graduate students and postdocs, currently supervising Karla Jarecke (Postdoctoral Scholar), Theo Kuhn (MS Student), Christopher McNabb (PhD Student), and Rahila Yilangai (PhD Student). She has secured significant research funding including a five-year, $6.9 million NSF grant studying the critical zone in the American West. Her teaching portfolio includes advanced courses on stable isotopes, ecohydrology, research design, and forest geography. She leads the Ecohydrology Lab and collaborates extensively through the Stable Isotope Lab, contributing to interdisciplinary projects that bridge science, art, and community engagement, such as the Colorado Art Science Environment program that addresses climate challenges through artistic-scientific partnerships.

Official University Profile

Lluís Salo-SalgadoView profile

Research Fellow

Harvard UniversityUnited States

Lluís Salo-Salgado is a Research Fellow at Harvard University, affiliated with the Structural Geology & Earth Resources Group. He earned his PhD in Geotechnical and Geoenvironmental Engineering from the Massachusetts Institute of Technology (MIT) in 2023. PhD Thesis: "Numerical Modeling of Geologic Carbon Dioxide Storage in Faulted Siliciclastic Settings" Lluís's research focuses on understanding geologic uncertainty, subsurface CO2 migration, and induced seismicity. His work aims to improve coupled flow and geomechanics models for reservoir and basin-scale applications, supporting energy transition technologies like carbon capture and storage (CCS), hydrogen storage, and geothermal energy. Currently, he is analyzing the impact of over a century of reservoir operations on earthquake activity in the Los Angeles Basin, leveraging multidisciplinary datasets to validate models with global relevance for tectonically active regions. Contact: lsalo@fas.harvard.edu

Official University Profile

Amin AmirlatifiView profile

Associate Professor

Mississippi State UniversityUnited States

Dr. Amin Amirlatifi is an Associate Professor and Cleveland Endowed Professor at the Swalm School of Chemical Engineering, Mississippi State University. He serves as Associate Director of the PATENT Lab. His research focuses on geomechanics, quantum computing applications, CO2 sequestration, predictive maintenance, and big data analytics. He has industry experience in reservoir engineering and numerical simulation. Education: Ph.D., Missouri University of Science and Technology, 2013 M.Sc., University of Petroleum Technology, 2005 M.Eng., University of Calgary, 2005 B.Sc., University of Petroleum Technology, 2003 Research Interests: Geomechanics, Quantum Computing, Carbon Capture and Storage, Enhanced Oil Recovery, Big Data Analytics, Hydraulic Fracturing, and Energy Storage Solutions. His work bridges engineering challenges with advanced computational methods. Labs/Teams: Leads the PATENT Lab, focusing on innovation in energy and environmental systems. Collaborates on machinery fault prediction, CO2 sequestration, and quantum computing applications. Grants/Advising: Active in securing grants for geomechanical and CO2 storage projects. Advises on interdisciplinary topics at the intersection of AI and engineering systems.

Official University Profile

Birol DindorukView profile

Professor

University of HoustonUnited States

Dr. Birol Dindoruk is the American Association of Drilling Engineers Endowed Professor at the University of Houston's Cullen College of Engineering, holding dual roles in the Department of Petroleum Engineering and Chemical and Biomolecular Engineering. He specializes in enhanced oil recovery (EOR), CO2 sequestration, and reservoir fluid thermodynamics, with significant contributions to data science integration in energy systems. His research bridges traditional petroleum engineering with emerging areas like geothermal energy and machine learning. Education: Ph.D. (Petroleum Engineering, Stanford University), M.S. (Petroleum Engineering, University of Alabama), MBA (University of Houston), and B.S. (Petroleum Engineering, Technical University of Istanbul). Research focuses on phase behavior, fluid dynamics in porous media, and the application of AI to energy challenges. Notable achievements include membership in the National Academy of Engineering (2017), SPE Lester C. Uren Award (2014), and leadership roles as Editor-in-Chief of SPE Journals and Elsevier’s Journal of Natural Gas Science and Engineering. Current advising includes postdoctoral fellows and Ph.D./MSc students working on CO2 utilization, geothermal systems, and machine learning. His lab, the Interaction of Phase Behavior and Flow (IPB&F) Consortium, addresses complex fluid systems and energy transitions.

Official University Profile

NATHAN MOODIEView profile

Academic

University of UtahUnited States

Dr. Nathan Moodie is a Research Assistant Professor in the Civil & Environmental Engineering Department at the University of Utah, affiliated with the Carbon Science Initiative (CSI) and the Energy & Geoscience Institute (EGI). He has been with EGI since 2011, completing his Master's and Ph.D. there before transitioning to his current role. His research focuses on multiphase numerical simulations for geologic carbon storage, emphasizing the impact of relative permeability and capillary pressure on modeling outcomes. He collaborates on DOE-sponsored projects in the western U.S., specializing in CO2 storage in saline aquifers and enhanced oil recovery. Education: Began as a graduate student in 2011, earned both Master's and Ph.D. degrees in Civil & Environmental Engineering from the University of Utah through EGI. Research Interests : - Multi-phase flow modeling in porous media - CO2 storage capacity and leakage risk assessment - Integration of geophysical monitoring with reservoir simulations - Uncertainty quantification in subsurface systems Articles Trends : Recent work emphasizes risk-based site characterization (e.g., San Juan Basin CarbonSAFE), advanced numerical methods for reservoir simulation, and machine learning applications in subsurface modeling. Key themes include CO2 plume dynamics, fault seal analysis, and legacy well risk mitigation. Advising/Grants : Actively involved in DOE-funded projects, though specific grant details are not listed. Advising roles (students/mentees) are not explicitly mentioned in available texts. Labs/Teams : Core member of the Carbon Science Initiative (CSI) and Energy & Geoscience Institute (EGI), contributing to interdisciplinary teams focused on industrial decarbonization and subsurface energy solutions.

Official University Profile

Michael HorstView profile

Associate Professor

The College of New JerseyUnited States

Michael Horst is an Associate Professor of Civil Engineering at The College of New Jersey (TCNJ), where he has served since 2006. His expertise spans water resources engineering, environmental engineering, and hydrologic modeling. He teaches courses in fluid mechanics, hydraulic engineering, and water resources design, while conducting research on stormwater management, BMPs (Best Management Practices), and sediment transport dynamics. Horst earned his B.S.C.E., M.E., and Ph.D. in Civil Engineering from Penn State University, focusing on applied hydraulics and hydrology. He is a licensed Professional Engineer in Pennsylvania and actively contributes to community projects through consulting and continuing education courses on HEC-HMS and HEC-RAS software. His research emphasizes practical applications, including regional calibration of hydrologic models, BMP performance evaluation, and flood risk assessment. Recent work includes studies on Hurricane Irene's impact on New Jersey watersheds and optimizing stormwater infrastructure. He has authored/co-authored over 15 peer-reviewed articles and presented at national conferences on topics like unit hydrograph calibration and porous concrete applications. Awarded the 2022 Floodplain Management Leadership Award and the 2009 Outstanding Professor Award, Horst has held leadership roles in TCNJ's School of Engineering, including service on curriculum committees, the President's Climate Commitment Council, and the Facilities & Construction Planning Council. He also chairs the College's Promotions Committee and represents faculty governance on the Senate. Horst's grants include multiple FEMA/NJDEP-funded dam safety projects totaling over $250,000. His service extends to professional organizations like the American Society of Civil Engineers and the New Jersey Association of Floodplain Managers.

Official University Profile

Dany LauzonView profile

Assistant Professor

Polytechnic School of MontrealCanada

Dany Lauzon is an Assistant Professor at the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal . He is affiliated with the Institute for Research in Mining and the Environment (IRME) and the Geothermal and Hydrogeology Research Group . His research focuses on stochastic subsurface modeling using geostatistical and machine learning methods, inverse problems in hydrogeology, and uncertainty quantification in geological models. Education: B.Eng. (Polytechnique Montréal), Ph.D. (Polytechnique Montréal) Postdoctoral training: Karst Systems Modeling (University of Neuchâtel), Mineral Prospectivity (INRS) His work develops geostatistical algorithms and deep learning surrogates for groundwater flow and subsurface risk mitigation. Publications highlight spectral methods, graph neural networks, and hybrid modeling approaches for environmental and geological applications. Current supervision: Ph.D. student Innocent Boris Tagne Nkounga Master's student Olivier Brisebois

Official University Profile

Lingzhong GuoView profile

Lecturer

University of SheffieldUnited Kingdom

Lingzhong Guo is a Lecturer in the Department of Automatic Control and Systems Engineering at the University of Sheffield , affiliated with the Insigneo Institute for in silico Medicine and Neuroscience Institute . His research bridges signal processing, nonlinear systems identification, and biomedical applications. PhD from Bristol Robotics Laboratory (UWE Bristol) Specializes in spatio-temporal system identification, PDE control, and machine learning for medical imaging Recent work focuses on deep learning applications for muscle segmentation in MR images and EIS analysis for oral disorder detection. Collaborations with Zilico Ltd. and participation in Horizon2020 projects highlight his translational research. Scientific Recognition SANO Centre grant (H2020, £2.5M) for computational diagnostics SPINe: Numerical and Experimental Repair strategies (H2020 European program, €1.58M) Innovate UK KTP for EIS-based medical diagnosis (£190K) His publications span nonlinear dynamics , multiscale modeling , and biomedical signal processing , with methodological contributions to Volterra series and coupled PDE-ODE systems.

Official University Profile

Xingru WuView profile

Associate Professor

University of OklahomaUnited States

Xingru Wu is an Associate Professor in the Mewbourne School of Petroleum and Geological Engineering at the University of Oklahoma. His research focuses on multiphase flow physics in porous media, enhanced hydrocarbon recovery, reservoir characterization, and geothermal energy utilization. B.Sc., Petroleum Engineering, China Petroleum University, 1997 M.Sc., Petroleum Engineering, University of Alaska, Fairbanks, 2002 Ph.D., Petroleum Engineering, University of Texas, Austin, 2006 Dr. Wu’s work integrates experimental and numerical approaches to solve challenges in unconventional reservoirs, casing integrity, and CO2-based enhanced recovery. He pioneered thermoelectric energy harvesting in oil wells and developed machine learning frameworks for production forecasting. Recent publications highlight advancements in reservoir modeling (Connected Reservoir Storage Model), CO2 EOR mechanistic studies, casing deformation analysis during fracturing, and machine learning applications for type curves and flow pattern prediction. Key subfields include shale gas flowback analysis, proppant transport, hydrate dissociation, and cement sheath failure modes. His work bridges reservoir engineering , geomechanics , and energy sustainability .

Official University Profile

Alejandro N. FloresView profile

Professor

Boise State UniversityUnited States

Alejandro N. Flores is a Professor in the Department of Geosciences at Boise State University, where he leads the Laboratory for Ecological Applications and Forecasting (LEAF). His research focuses on hydrology, regional climate change, critical zone ecohydrology, and applying modeling/simulation techniques to environmental systems. His core research interests include: hydrological processes in changing climates, remote sensing of terrestrial systems, and integrating artificial intelligence/machine learning approaches in earth science. Current investigations examine how subsurface critical zone structures influence hydrological partitioning and how land cover changes impact global-scale rooting depths. Professor Flores teaches courses including 'Water in the West' (GEOS 212), 'Land-Atmosphere Interaction' (GEOS 411), 'Research Computing for Earth Science' (GEOS 505), and 'Modeling Environmental Systems' (GEOS 518). He mentors graduate students across multiple programs including Hydrologic Science, Geoscience, Computing, and Ecology programs.

Official University Profile

Rochelle TaylorView profile

Lecturer

Manchester Metropolitan UniversityUnited Kingdom

Dr. Rochelle Taylor is a Lecturer in Artificial Intelligence/Data Science at the Department of Computing and Mathematics, Manchester Metropolitan University (MMU). Previously, she was a Lecturer in Geology at Edge Hill University. She holds a PhD in Structural Geology and Geophysics from the University of Manchester (2013), an MSc in Data Science (Distinction) from MMU, and a MESci in Geology from the University of Manchester. She is a Fellow of the Higher Education Academy (HEA). Her research focuses on environmental and sustainable subsurface resource extraction, geophysical analysis of air quality via road traffic vibrations, and AI ethics. Current projects include seismotrair (road traffic-air quality forecasting), HydroDetect ML (subsurface hydrogen detection), and XRF Analytics (Greenland sediment analysis). She also explores health informatics ( CPET ML for surgical risk prediction) and community engagement in AI ( PEAs in Pods ). Teaching roles include Course Leader for the MSc Data Science and Module Leader for Principles of Data Science, Machine Learning Concepts, and Ethics of AI. Awards include HEA Fellowship. Her research outputs span geoscience, AI ethics, and fracture mechanics, with recent work addressing energy transition and community perspectives on AI.

Official University Profile