جست‌وجوی استاد و پژوهشگر

Guttorm Alendalمشاهده پروفایل

استاد

• Environmental Monitoring
• CO2 Storage
• Oceanography
• +۵ مورد دیگر

Guttorm Alendal is a Professor in the Department of Mathematics at the University of Bergen. His research focuses on mathematical modeling applied to environmental challenges, particularly CO2 storage monitoring, oceanography, and climate science. He leads projects like ACTOM (Advanced Monitoring for Offshore CO2 Storage) and MATH4SDG, emphasizing cross-disciplinary approaches to sustainability. Education: Ph.D. in Applied Mathematics (1996, University of Bergen, thesis: Implementing and testing of different gravity current models). Key Research Areas: Fluid dynamics, environmental monitoring systems, carbon sequestration risk assessment, and marine pollution modeling. Collaborates with NORCE Norwegian Research Centre and international initiatives like STEMM-CCS. Publications: Over 80 peer-reviewed articles on topics like CO2 seep detection, Bayesian environmental modeling, and particle transport in oceanic waters. Recent work includes data-driven dynamical systems for disease modeling and reinforcement learning for environmental surveillance. Awards: While no specific awards listed, his work has been funded by EC H2020, Research Council of Norway, and JPI-Oceans. Grants: Active projects include ACTOM (2019-2022), MATH4SDG (2021-2026), and SFI CRIMAC (2020-2028). Former roles include leading ECO2 (FP7) and co-authoring technical reports on CO2 plume dynamics. Labs/Teams: Involved in Digital Life Norway's dCOD project (systems toxicology of Atlantic cod) and the Bergen Ocean Model development team.

Rebecca Brannonمشاهده پروفایل

استاد

• Computational Solid Mechanics
• Plasticity Modeling
• Poroelasticity
• +۷ مورد دیگر

Rebecca Brannon is a Professor in the Department of Mechanical Engineering at the University of Utah, specializing in computational solid mechanics and constitutive modeling. She holds a PhD in Engineering Mechanics from the University of Wisconsin, Madison (1992), an MS from the same university (1988), and a BS in Mechanical Engineering from the University of New Mexico (1987). Her research focuses on improving the accuracy, stability, and efficiency of plasticity models, damage mechanics, poroelasticity, and advanced numerical methods like the Material Point Method (MPM). Key contributions include mesoscale validation techniques, constitutive model development (e.g., ARENA and Kayenta), and tensor analysis frameworks for engineering applications. Her work bridges theory and application, addressing challenges in shock physics, rock mechanics, and biomedical engineering (e.g., ceramic hip prosthesis wear). She has pioneered methods for uncertainty quantification in damage models, verification frameworks for computational mechanics, and visualization tools for tensor fields. Notable projects include modeling hypervelocity impact, blast effects on geologic materials, and analyzing deformation-induced anisotropy in porous media. Brannon has led interdisciplinary initiatives, such as the ONR MURI project on soil blast modeling, and contributed to software development (e.g., CTH and Uintah-MPM). Her expertise spans experimental validation (using XCT data), numerical algorithm design, and thermodynamic consistency in constitutive equations. Her research underscores the importance of rigorous validation and the integration of micro-scale heterogeneity into macro-scale models.

• Civil Engineering
• Geotechnical Engineering
• Structural Analysis
• +۶ مورد دیگر

Dr. Kenneth Israel Eshiet is a Senior Lecturer in Civil Engineering at the University of Wolverhampton within the Faculty of Science and Engineering and the School of Architecture and Built Environment . A Chartered Engineer and Fellow of Advance Higher Education (UK), he combines academic expertise with industry experience in geomechanics, structural analysis, and computational modeling. Education : PhD in Civil Engineering (University of Leeds), MEng in Civil Engineering (University of Leeds), PGDip in Management, MSc in Computational Fluid Dynamics. Research Interests focus on: Numerical/experimental modeling of subsurface systems Deterministic/stochastic risk assessment models Computational fluid dynamics in civil engineering Geotechnical and structural analysis of rock mechanics Scientific Awards : University of Leeds Teaching Award Professional Standard 2 (ULTA-2) University of Leeds Teaching Award Professional Standard 1 (ULTA-1) Industry Experience : Senior Consultant at Sustainable Energy Environmental and Educational Development (USA), Lead Technical Consultant at Thompson Integrated Projects Ltd. His work spans hydraulic fracturing, underground coal gasification, and CO2 storage projects.

Gregory Tuckerمشاهده پروفایل

استاد

• Geomorphology
• Landscape Evolution
• Earth Surface Processes
• +۸ مورد دیگر

Gregory Tucker is a Professor of Geological Sciences at the University of Colorado Boulder, affiliated with the Cooperative Institute for Research in Environmental Sciences (CIRES). He serves as Executive Director of the NSF-supported Community Surface Dynamics Modeling System (CSDMS) and develops open-source tools like the Landlab Toolkit . Ph.D. in Geosciences, Penn State University (1996) Office: BESC - 246D Email: gtucker@colorado.edu His research focuses on geomorphology and landscape evolution , integrating physics of earth-surface processes with computational modeling. He investigates long-term terrain shaping (e.g., glacial-to-Holocene transitions) and contemporary issues like gully erosion and hazardous waste site stability . His group pioneers stochastic and deterministic models of erosion, landsliding, and sediment transport. Recent work includes software development for earth-surface science (e.g., Landlab, CellLab-CTS), Martian landscape evolution , and climate-driven erosion trends . His publications address bedrock incision , hillslope dynamics , and tectonic-hydrologic interactions . Scientific Awards: Ralph Alger Bagnold Medal (2012) - European Geosciences Union Boulder Faculty Assembly Teaching Excellence Award (2013) He received a $2.56M Cyberinfrastructure Grant (2021) to advance Earth surface science. His lab fosters interdisciplinary collaboration with teams studying surface dynamics , hazard assessment , and planetary geomorphology . He advocates for open-source scientific software and FAIR data principles .

Denis Voskovمشاهده پروفایل

دانشیار

• Reservoir Simulation
• CO2 Sequestration
• Geothermal Energy
• +۴ مورد دیگر

Denis Voskov is an Associate Professor at Delft University of Technology (Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering). He also holds an Adjunct Professor position at Stanford University (Department of Energy Resources Engineering, USA). His academic career spans roles as Senior Researcher (2007-2015) and Research Associate (2005-2007) at Stanford, CTO of Rock Flow Dynamic (2005-2008), and engineering positions in oil companies and research institutions in Russia (2000-2005). Current: Head of Reservoir Engineering Section (2024-present) Current: Associate Professor at TU Delft (2015-present) Current: Adjunct Professor at Stanford University (2016-present) Voskov specializes in modeling complex subsurface systems , focusing on reactive flow and transport in altering porous media, scale translation for physical processes, high-performance computing for forward/inverse problems, thermal/geothermal process simulation, CO2 sequestration, and nonlinear solver analysis. His work bridges computational methods (finite volume frameworks, augmented flash calculations, operator-based linearization) with energy transition applications like geological carbon storage and geothermal resource management. Key trends in his recent publications (2024-2025) include: advanced CO2 storage mechanisms (capillary pinning, halite precipitation), multiphysics simulation frameworks (thermal-hydro-mechanical-compositional models), data assimilation for geothermal reservoirs, physics-informed neural networks for subsurface problems, and open-source tools like DARTS-well. Topics frequently intersect with energy transition, reservoir heterogeneity, and numerical robustness. Voskov's lab and team activities center on subsurface energy systems at TU Delft, including the campus geothermal project for direct-use heating and digital twin development for geothermal reservoirs. He collaborates internationally, particularly with Stanford University, and leads initiatives in GPU-based Monte Carlo simulations for uncertainty quantification.

• Quantum Thermodynamics
• Quantum Metrology
• Optomechanics
• +۳ مورد دیگر

Dr. Obinna Abah is a researcher at Newcastle University, focusing on advanced quantum thermodynamic systems and nonadiabatic quantum processes. His work spans theoretical and experimental aspects of quantum engines, refrigerators, and critical phenomena. Quantum thermodynamics and critical metrology Optomechanical and magnomechanical systems Quantum state engineering and control He has published extensively since 2014, with recent studies (2024) exploring entropy production in cavity magnomechanical systems and irreversibility in parametrically driven optomechanics. His research bridges fundamental quantum principles with practical thermodynamic devices. Dr. Abah's scientific contributions include developing theoretical frameworks for quantum heat engines at relativistic energies and optimizing Otto cycles for enhanced efficiency. He also investigates geological structures like dolostone lithons in tectonic fault zones, demonstrating interdisciplinary research interests.

• Sedimentology
• Marine Geology
• Turbidity Currents
• +۵ مورد دیگر

Joris Eggenhuisen is an Associate Professor in the Faculty of Geosciences at Utrecht University , specializing in Earth Sciences with a focus on Sedimentology . His research investigates the origin of deep-marine sedimentary deposits through physical experiments on erosion, transport, and deposition by water flows, translating results into models for sedimentary rock records across geological timescales. He teaches undergraduate and graduate courses including Physical Geology and Dynamics of Sedimentary Systems , and serves as Career Officer for the Teaching Institute of Earth Sciences. Key Research Areas Deep-marine sedimentology Turbidity currents Submarine channel systems Experimental geology Environmental sediment transport Recent Publications 2023: 6+ articles on submarine channels, microplastics transport, and sediment budget modeling 2022: 5+ articles on flow dynamics, hindered settling, and turbidite systems Awards & Roles NWO Vidi Grant (2016) President, British Sedimentological Research Group Associate Editor, The Journal of Sedimentary Research

Mehmet Devrim Akçaمشاهده پروفایل

استاد

• Surveying Engineering
• Photogrammetry
• Remote Sensing
• +۴ مورد دیگر

Prof. Dr. Mehmet Devrim Akça is a full-time faculty member at the Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Isik University, Istanbul, Turkey. He earned his PhD in Photogrammetry from ETH Zurich (2007), MSc in Surveying Engineering from Karadeniz Technical University (2000), and BSc in Surveying Engineering (1997). PhD: ETH Zurich, Institute of Geodesy and Photogrammetry (2003-2007) MSc: Karadeniz Technical University (1997-2000) BSc: Karadeniz Technical University (1993-1997) His research focuses on photogrammetry, 3D surface matching, laser scanning, and cultural heritage documentation. He has pioneered methods for point cloud filtering, stochastic surface mesh reconstruction, and volumetric change detection in forests and geological formations. His recent work includes real-time UAV-based structural inspection and TLS error modeling. Key trends in his publications include: Advancements in 3D forest monitoring using satellite data Development of novel error models for point cloud processing Applications of structured light systems in geomorphological experiments Integration of photogrammetry for landslide and bridge deformation analysis Scientific awards: ISPRS Best Paper by Young Authors (2004) ETH Zurich Silver Medal for Doctoral Thesis (2008) Carl Pulfrich Award (2009) Publons Top 1% Reviewer in Geosciences (2018) and Earth Sciences (2017) He has advised Dr. Mustafa Özendi (2018) on stochastic surface mesh reconstruction and contributed to projects like FORSAT 3D forest monitoring. His editorial roles include MDPI Remote Sensing and Elsevier's ISPRS Journal.

• Environmental Engineering
• Hydrology
• Water Quality Management
• +۵ مورد دیگر

Lillian C. Jeznach is a researcher at Roger Williams University's Engineering, Computing & Construction Management department, focusing on environmental engineering, hydrology, and climate change impacts on stormwater systems. She is part of faculty publications and collaborates with Gregory E. Granato on studies related to highway runoff and water quality. Her research emphasizes the Stochastic Empirical Loading and Dilution Model (SELDM) to assess climate change effects on stormwater flows, phosphorus concentrations, and treatment uncertainties. Key projects include 2023 climate change analyses and 2020 studies on impervious cover impacts. Recent publications highlight spatial-temporal variability in precipitation statistics and the disproportionate influence of current data uncertainties compared to projected climate changes. The Transportation Research Board and U.S. Geological Survey collaborations are central to her work.

• Computational Geoscience
• Scientific Computing
• Numerical Analysis
• +۳ مورد دیگر

Magnus Bruaset is a Professor and Director of the Software & AI Department at Simula Research Laboratory , with expertise in computational geosciences, numerical methods, and quantum computing. His work spans geological modeling, PDE solvers, and software development frameworks like Diffpack. Education : PhD in preconditioned iterative methods for elliptic problems (1992), Master's in preconditioning symmetric systems (1988). Research Interests : Focus on numerical analysis, GPU acceleration of geological simulations, stochastic modeling for uncertainty quantification, and quantum computing strategy. Key projects include Hamilton-Jacobi solvers, particle-based flow models, and contributions to digital contact tracing systems. Advising & Collaboration : Co-developed PhD training workshops for scientific communication and contributed to industrial-academic partnerships. Collaborated with institutions including ChevronTexaco, Wolfram Research, and University of Oslo.

Seth Adam Blumsackمشاهده پروفایل

استاد

• Energy Systems
• Renewable Energy
• Power Grid Analysis
• +۳ مورد دیگر

Seth Adam Blumsack is a Professor at the John and Willie Leone Department of Energy & Mineral Engineering within the College of Earth and Mineral Sciences at Pennsylvania State University, and a key member of the Institute of Energy and the Environment (IEE) . His work intersects energy systems, power grid analysis, and climate policy, with a focus on reliability and equity in decarbonizing grids. His research spans natural gas and electric power system interdependencies, geospatial planning for carbon sequestration, and stochastic optimization frameworks for grid resilience. This aligns with UN Sustainable Development Goals (SDGs) related to clean energy and climate action. Blumsack has secured major funding from the National Science Foundation and the Alfred P. Sloan Foundation, including grants for: Institutional Design Innovation for Power System Reliability (2022–2024) CO2 Storage Modeling, Analytics, and Risk Reduction Technologies (2024–2029) Renewable Hydropower Generation and Disaster Avoidance (2013–2017) His work often explores network topology, critical infrastructure, and regulatory frameworks to enhance grid security and reduce inequities.