جست‌وجوی استاد و پژوهشگر

Jenny Bakerمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Materials Recycling
• Solid State Battery Electrolytes
• +۷ مورد دیگر

Jenny Baker is a Professor in the Department of Mechanical Engineering at the University of Bath, affiliated with the Centre for Integrated Materials, Processes & Structures (IMPS), the Centre for Sustainable Energy Systems (SES), and the Institute of Sustainability and Climate Change. Her research focuses on recycling of functional materials, solid-state battery electrolytes, and life cycle impact assessments for energy systems. She leads projects funded by the Engineering and Physical Sciences Research Council (EPSRC), including the TReFCo initiative addressing thermal recovery of functional coatings. Her expertise aligns with UN Sustainable Development Goals, particularly in sustainable energy conversion and resource efficiency. Notable achievements include an EPSRC ECR Fellowship (2019) and over 39 peer-reviewed publications, with recent work emphasizing environmental impacts of battery technologies and photovoltaic systems. Collaborations span global institutions, advancing materials science and energy sustainability. Key contributions include innovations in perovskite solar cells, graphene-based coatings, and lifecycle analysis methodologies. Her research bridges academia and industry, addressing challenges in scalable energy storage and circular economy practices. Current projects aim to enhance recyclability of materials and optimize renewable energy integration in built environments.

Michael Kingمشاهده پروفایل

استاد

• Reservoir Engineering
• Unconventional Reservoirs
• Flow Simulation
• +۳ مورد دیگر

Michael King is a Professor of Petroleum Engineering and holds the LeSuer Chair in Reservoir Management at Texas A&M University. He is also affiliated with the Multidisciplinary Engineering program. His research focuses on 3D reservoir modeling, unconventional reservoir characterization, and advanced simulation techniques for flow dynamics. Education: Ph.D. in Physics (Syracuse University, 1980), M.S. in Physics (Syracuse University, 1977), B.S. in Physics and Mathematics (The Cooper Union, 1976). Research Interests: His work emphasizes reservoir upscaling, streamline-based simulation, pressure transient analysis, and geomechanical modeling for CO2 storage. Recent work explores machine learning integration with reservoir workflows and multiscale modeling for complex reservoirs. Publications: Over 100 peer-reviewed articles since 2005, with recent focus on fast marching methods, diffusive time of flight, and multi-scale simulation frameworks. Topical trends include unconventional reservoir analysis, CO2 sequestration, and shale gas production optimization. Awards: Distinguished SPE Member (2013), Foundation CMG Chair (2013–2019), Teaching Excellence Award (2014) Labs/Teams: Leads reservoir simulation research group focused on unconventional reservoir characterization and numerical method development Grants/Funding: Extensive funding history from industry partnerships and government grants for reservoir modeling R&D

• Water Resources Engineering
• Environmental Engineering
• Biogeochemistry
• +۵ مورد دیگر

Lazaro J. Perez is an Assistant Professor in the School of Civil and Construction Engineering at Oregon State University, part of the College of Engineering. His research focuses on hydrological and biogeochemical processes in subsurface porous media, particularly quantifying incomplete mixing effects on chemical reactions and contaminant transport. He integrates experimental and numerical methods to address groundwater remediation, aquifer management, and bioremediation challenges. Education: Ph.D., Civil and Environmental Engineering, Polytechnic University of Catalonia (2019) M.S., Engineering Geology and Geologic Resources, University of Oviedo (2015) B.S., Geology, University of Oviedo (2013) Research interests include bacterial transport dynamics, biofilm impacts on fluid flow, and multiscale modeling of reactive transport. His work spans pore-to-field scales, emphasizing practical applications like arsenic removal using metal-organic frameworks and climate change effects on water systems. Key contributions include advancements in solute transport prediction via machine learning, upscaling bacterial migration in porous media, and understanding biofilm-induced flow heterogeneities. Current projects involve climate change impacts on mountain hydrology and innovative remediation strategies for contaminated waters.

Hamidreza M. Nickمشاهده پروفایل

پژوهشگر

• CO2 Storage
• Subsurface Engineering
• Geothermal Energy
• +۱۲ مورد دیگر

Hamidreza M. Nick is a Senior Researcher in GeoEnergy Engineering at the Technical University of Denmark (DTU), affiliated with the Danish Offshore Technology Centre and the Laboratory for Off-Shore Production Sciences. He is actively engaged in cutting-edge research on subsurface energy systems, including CO₂ storage, geothermal energy, hydrogen storage, and coupled thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured geological formations. His research interests span a broad range of topics in subsurface engineering, including fluid flow in porous and fractured media, reactive transport, geomechanics of chalk reservoirs, numerical modeling using finite element methods, microbial processes in underground reservoirs, and the application of machine learning to reservoir simulation. His work contributes significantly to global efforts in climate change mitigation and sustainable energy solutions, aligning with several UN Sustainable Development Goals. The trends in his recent publications (2021–2025) reflect a strong focus on CO₂ sequestration in depleted reservoirs, particularly chalk fields, with emphasis on mechanical integrity, chemical interactions, and coupled simulations. He also explores emerging areas such as in situ hydrogen generation, microbial impacts on storage integrity, and deep learning applications for sparse data environments in reservoir modeling. Hamidreza M. Nick actively supervises multiple PhD students and leads research on key projects related to subsurface fluid dynamics, clogging phenomena, and reservoir simulation. His collaborative network includes researchers across Europe and beyond, and he regularly presents at major international conferences such as EAGE. Scientific Contributions and Supervision: Supervises PhD projects on bio-chemical clogging, subsurface fluid leaks, coupled flow, and formation damage. Active contributor to 297 publications and 23 research projects. Develops advanced numerical models for CO₂ and hydrogen storage, integrating physical, chemical, and biological processes. Engaged in field-scale modeling and validation using real-world data from North Sea reservoirs. Laboratories and Research Groups: He is a key member of the Laboratory for Off-Shore Production Sciences and the Danish Offshore Technology Centre at DTU, where he conducts experimental and computational research on offshore and subsurface energy systems.

Amalia Kokkinakiمشاهده پروفایل

دانشیار

• Groundwater Flow and Contaminant Transport
• Environmental Hydrogeology
• Contaminant Remediation
• +۳ مورد دیگر

Amalia Kokkinaki is an Associate Professor in the Department of Environmental Science at the University of San Francisco (USF), where she has been a full-time faculty member since 2016. She also serves as the Program Director and is actively involved in the university community, including advising the Environmental Engineering and Science Club and serving on the curriculum committee for the new engineering program. Her educational background includes a PhD and MASc in Civil and Environmental Engineering from the University of Toronto (2013 and 2007, respectively) and a BS and MS in Environmental Engineering from the Technical University of Crete (2005). Dr. Kokkinaki's research focuses on the intersection of environmental engineering and mathematical modeling, with expertise in groundwater flow and contaminant transport , contaminant hydrogeology , and statistical modeling and data assimilation . Her work addresses critical challenges in groundwater remediation , particularly for dense non-aqueous phase liquids (DNAPLs), and extends to carbon dioxide storage monitoring and biological treatment of organic pollutants . She employs advanced techniques such as Bayesian inverse modeling and hydrogeophysical methods to characterize subsurface systems and improve remediation strategies. Her recent publications (2013-2023) demonstrate a consistent focus on developing and applying innovative modeling approaches for subsurface characterization and contaminant transport. Key trends include the integration of machine learning (e.g., deep learning-based inversion) with traditional hydrogeological methods, advancements in data assimilation techniques for real-time monitoring, and the application of these methods to complex problems such as DNAPL source zone remediation and CO2 storage. Dr. Kokkinaki has received recognition for her contributions, including: Best reviewer award, Journal of Environmental and Engineering Geophysics (JEEG) 26(3), 2021 University of San Francisco, Mentor of the Year, 2020 She is a dedicated mentor, having advised numerous undergraduate and graduate students on projects ranging from PFAS sorption kinetics to urban forest air quality analysis. Her students have worked on diverse topics including PFOA sorption, uranium-VI modeling, residential electrification, and graphical user interfaces for water resources management. Additionally, she teaches undergraduate courses in environmental science and graduate courses in the master’s program (MSEM) and the Geospatial Analysis Lab (GsAL). Dr. Kokkinaki is an active member of the Geospatial Analysis Lab (GsAL) and contributes to interdisciplinary initiatives such as the development of USF's new engineering program.

Fabian Fassnachtمشاهده پروفایل

استاد

• Remote Sensing in Ecology
• Forest Ecosystems
• Urban Vegetation Monitoring
• +۷ مورد دیگر

Prof. Dr. Fabian Fassnacht holds the Professorship for Remote Sensing and Geoinformatics at the Institute of Geographical Sciences, Freie Universität Berlin. His research focuses on applying remote sensing technologies to understand ecological patterns and processes in vegetation ecosystems, particularly forest systems and urban trees. He specializes in developing workflows for quantifying forest attributes and creating synthetic remote sensing data to improve ecological understanding and monitoring. Education: PhD in Forestry Sciences (University of Freiburg, 2010-2014) Key Projects: FORZA (forest decline analysis), INSANE (spatial forest products), ErWiN (wildfire dynamics), SYSSIFOSS (synthetic forest data), SaMovar (invasive species monitoring) Research Focus: Multi-scale vegetation monitoring, 3D forest modeling, upscaling ecological processes, and wildfire risk assessment using LiDAR and UAV technologies His work addresses critical challenges in remote sensing applications across diverse ecosystems, including semi-arid forests and temperate woodlands. He has coordinated numerous research initiatives funded by BMBF, DAAD, DFG, and other international agencies. Current efforts involve integrating deep learning with traditional remote sensing methods to enhance forest inventory models and ecological assessments.

Peyman Mostaghimiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Pore-Scale Modeling
• Multiphase Flow in Porous Media
• +۷ مورد دیگر

Professor Peyman Mostaghimi is a Professor of Minerals and Energy Resources at the University of New South Wales (UNSW) Sydney within the Faculty of Engineering, School of Civil and Environmental Engineering. He joined UNSW in 2014 after completing postdoctoral research at Imperial College London, where he focused on multiphase flow and transport in porous media. Professor Mostaghimi earned his PhD from Imperial College London and holds an MSc in Mechanical Engineering with specialization in Fluid Mechanics along with dual BSc degrees in Mechanical and Chemical (Reservoir) Engineering from Sharif University of Technology. His educational background has provided a strong foundation for his interdisciplinary research at the intersection of engineering, geoscience, and computational methods. His research spans computational fluid dynamics, natural gas extraction, subsurface reservoir simulation, pore-scale modeling of displacement processes, and flow and transport in porous media with applications to energy extraction, mineral recovery, subsurface hydrology, and environmental studies. Mostaghimi's work integrates advanced computational techniques with experimental validation to address complex challenges in subsurface resource management. He has pioneered approaches combining machine learning with traditional numerical methods to enhance the accuracy and efficiency of digital rock physics simulations. His recent publications (2024-2025) demonstrate a strong focus on multi-scale modeling approaches, bridging pore-scale phenomena to continuum-scale applications. His research group has made significant contributions to understanding multiphase flow in porous media, hydrogen storage, CO2 sequestration, and mineral characterization using cutting-edge imaging and computational techniques. The trend shows increasing integration of machine learning and deep learning techniques with traditional physics-based modeling to solve complex subsurface engineering problems. Professor Mostaghimi has received international recognition including being ranked among the world's top 2% scientists in Energy by Stanford University (2020). He serves as a Council Member for the International Society for Porous Media and as an Associate Editor for the Journal of Petroleum Science and Engineering. His professional affiliations include active membership in SPE (Society of Petroleum Engineers), InterPore, AGU (American Geophysical Union), and IAMG (International Association for Mathematical Geosciences). As director of the MUTRIS research group (http://mutris.unsw.edu.au), Professor Mostaghimi leads a team investigating multiphase flow and transport in porous media. His research has significant implications for energy transition technologies including carbon capture and storage, hydrogen storage, and sustainable mineral extraction. The group's work combines experimental techniques like X-ray micro-CT imaging with advanced computational methods to develop predictive models of subsurface processes.

Renata Bunoiuمشاهده پروفایل

دانشیار

• Homogenization Theory
• Asymptotic Analysis
• Nonlinear Flow
• +۳ مورد دیگر

Renata Bunoiu is an Associate Professor (Maîtresse de conférences HDR) at Université de Lorraine, affiliated with the Faculty of Mathematics, Computer Science, and Mechanics (UFR MIM) and the Department of Partial Differential Equations within the Institute Élie Cartan de Lorraine (IECL). Her primary research focuses on homogenization theory and asymptotic analysis in thin domains, particularly examining nonlinear flows and composite materials with interfacial phenomena. Her research interests encompass Homogenization Theory , Asymptotic Analysis in Thin Domains , Nonlinear Flow Dynamics , and Composite Material Modeling . She specializes in periodic homogenization, sign-changing coefficient problems, and flux jump phenomena in high-contrast media. Her work bridges theoretical mathematics with applications in fluid mechanics, porous media, and material science. Dr. Bunoiu's publication record demonstrates consistent contributions to mathematical analysis, with 15+ recent articles (2018-2024) in journals like Journal of Mathematical Fluid Mechanics , Applicable Analysis , and Communications in Mathematical Sciences . Her research shows a clear trajectory toward increasingly complex transmission problems involving sign-changing coefficients, thin periodic structures, and non-Newtonian fluid behavior. She actively participates in institutional responsibilities including serving on the UFR MIM council, leading the AMEF mobility commission, and coordinating the national PPPE teacher preparation program. Her current research projects include the interdisciplinary LUE-MAT-PULSE initiative on nanomaterials and the international GDRI ECO-Math collaboration focused on asymptotic analysis in perforated domains.

Jürgen Schumacherمشاهده پروفایل

استاد

• Electrochemical energy systems
• Redox flow batteries
• Proton exchange membrane fuel cells (PEMFC)
• +۳ مورد دیگر

Prof. Dr. Jürgen Schumacher is Professor at the ZHAW School of Engineering and heads the research focus Electrochemical Cells & Energy Systems . Stationed in Winterthur, Switzerland, he spearheads numerous national and European projects aimed at advancing electrochemical energy conversion and storage technologies. Research Interests His work integrates multiscale modeling with experimental validation to address critical challenges in: Redox flow batteries – organic and hydrogen–bromine chemistries, membrane optimization, and system-level performance models. Proton exchange membrane fuel cells (PEMFC) – two-phase transport, water management, durability under heavy-duty cycles, and degradation coupling. Photoelectrochemical devices – band-structure engineering, optical and carrier-transport modeling for solar water splitting and dye-sensitized solar cells. Porous electrode theory – upscaling from pore-scale to macroscopic descriptions, Monte-Carlo and continuum approaches. Publication Trends Since 2014, his peer-reviewed output has concentrated on physics-based modeling frameworks that bridge electrochemical kinetics, transport phenomena, and material microstructure. Journal of Power Sources and Electrochimica Acta host the majority of his recent articles, reflecting a clear focus on flow batteries and PEMFC durability . A noticeable trend is the coupling of performance and degradation models , enabling predictive lifetime assessment. Ongoing Projects High-throughput screening & synthesis of active materials for flow batteries – Project leader. Robust PEMFC MEAs for heavy-duty applications – Project leader. Doctoral network on micro-process engineering for electrosynthesis – Project leader. Labs & Teams At ZHAW, Prof. Schumacher directs an interdisciplinary team combining electrochemical engineers , numerical modelers , and material scientists . The group operates state-of-the-art facilities for in-situ diagnostics , micro-computed tomography , and high-performance computing clusters dedicated to large-scale simulations of complete cells and stacks.

Silvia Lizeth Tapia Tarifaمشاهده پروفایل

دانشیار

• Formal methods
• Distributed systems
• Parallel computing
• +۷ مورد دیگر

Silvia Lizeth Tapia Tarifa is an Associate Professor in the Department of Informatics at the University of Oslo, specializing in formal methods for parallel and distributed systems. She serves as one of the principal investigators for the NFR SJM (Smart Journey Mining) project, which runs until 2026, and actively participates in Digital Twins research with a focus on GDPR-compliant data management. Her academic affiliations include the Reliable Systems research group and the Analytical Systems and Reasoning (ASR) group at the Department of Informatics. Professor Tapia Tarifa's research spans formal methods, concurrency theory, and distributed systems with particular emphasis on self-adaptive systems, semantics of concurrent languages, compositional reasoning about distributed system behavior, and formal modeling of resource usage. Her work bridges theoretical computer science with practical applications in digital twins, GDPR compliance, and resource management in distributed environments. She has made significant contributions to the ABS language framework and active object models for parallel and distributed computing. Her publication record shows a consistent focus on formal verification techniques applied to emerging challenges in distributed computing. Recent work demonstrates increasing attention to digital twins technology, user journey modeling, and privacy-preserving systems. The research trajectory reveals evolution from foundational work on concurrent language semantics toward applied research in self-adaptive systems and GDPR-compliant architectures, while maintaining strong theoretical underpinnings in formal methods. Young Research Talent grant from Research Council of Norway (2017), the only computer science grant in that call Fellow at United Nations University, International Institute for Software Technology (2007) Active participation in formal methods community as general chair, PC chair, and committee member Professor Tapia Tarifa has supervised PhD and master's students while teaching graduate-level courses. She has led significant research initiatives including the Analysis and Complex System Research Program at SIRIUS Center (ended 2023) and the EU MSCA-ITN REMARO project on Reliable AI for Marine Robotics (ended 2024). Her current research portfolio includes multiple active grants focused on digital twins, user journey analysis, and privacy-preserving distributed systems. She collaborates extensively with researchers across Europe through various EU-funded projects including FP7 ENVISAGE, FP7 FET UpScale, and FP7 FET HATS. Her research activities are centered around the ABS language framework and its applications to distributed systems verification. She maintains active collaborations through the SIRIUS Center and participates in the international formal methods community through conference organization and program committees.

Deqiang Maoمشاهده پروفایل

استاد

• Hydrogeology
• Hydrogeophysics
• Inverse Modeling
• +۳ مورد دیگر

Deqiang Mao is a Professor of Hydrogeology at the Department of Hydraulic Engineering, School of Civil Engineering, Shandong University, Jinan, China. He holds a PhD in Hydrology from The University of Arizona (2012), with prior academic appointments at New Mexico Institute of Mining and Technology (Assistant Professor, 2016-2017) and postdoctoral positions at Colorado School of Mines and The University of Arizona. His research focuses on hydrogeophysics, inverse modeling, and groundwater system characterization. Education: PhD (The University of Arizona), MS (China University of Geosciences), BS (China University of Mining and Technology) His work integrates geophysical methods like induced polarization and resistivity tomography with hydrological modeling to solve subsurface characterization challenges, including contaminant transport, coal seam fires, and aquifer heterogeneity. He actively collaborates with international researchers and serves on AGU committees for hydrogeophysics and groundwater. As a reviewer for major journals, he emphasizes quantitative approaches in hydrogeology and geophysics. Deqiang Mao's research has driven innovations in bioelectrochemical remediation of hydrocarbon-contaminated soils, time-domain induced polarization tomography, and high-performance computing applications in subsurface hydrology. He has co-authored numerous peer-reviewed articles in Geophysics , Water Resources Research , and Journal of Hydrology , advancing field and laboratory techniques for groundwater monitoring. He maintains an open research group at Shandong University, seeking students with quantitative backgrounds in hydrogeology or geophysics. His work bridges theoretical developments in inverse modeling with practical applications in mining hydrology, contaminant remediation, and geophysical survey optimization.

Judith Bosboomمشاهده پروفایل

مدرس ارشد

• Coastal Engineering
• Morphodynamics
• Sediment Transport
• +۳ مورد دیگر

Judith Bosboom is a Senior Lecturer at the Hydraulic Engineering Department of Delft University of Technology's Faculty of Civil Engineering & Geosciences. With academic backgrounds in both Civil Engineering (MSc) and Coastal Engineering (PhD), she has been active in research, advisory work, and teaching since 1995. Doctorate in Quantifying Coastal Morphological Predictions (2020) University Teaching Qualification (BKO) from Delft University of Technology (2010) Professional photography degree specializing in architectural photography (2009) Her research focuses on coastal morphodynamics, sediment transport, and numerical model validation. Key contributions include: Developing three novel validation methods for morphodynamic models (field deformation, optimal transport, scale-selective validation) Creating the Coastal Dynamics Open Textbook (20,000+ downloads from 46 countries) Innovative teaching methods with interactive Jupyter Notebooks and Quizzes Scientific awards include: #1 Best Educator of Hydraulic Engineering Track (2023) #1 Best Lecturer TU Delft (2016) Multiple Best Teacher awards (2011-2023)

John Rudgeمشاهده پروفایل

استاد

• Mantle Dynamics
• Magma Ascent
• Theoretical Geophysics
• +۴ مورد دیگر

John Rudge is a Professor in the Department of Earth Sciences at the University of Cambridge. His research focuses on theoretical geophysics and geochemistry, with a strong emphasis on mantle convection, magma dynamics, and rock rheology. He employs mathematical modeling, numerical solutions of partial differential equations, and statistical techniques to study Earth and planetary interiors, collaborating closely with geophysicists, geochemists, and material scientists. Research Interests: Mantle convection and dynamic topography Magma ascent and extraction mechanisms Rheology of partially molten rocks Grain-scale modeling and upscaling to continuum laws Planetary interior dynamics and exoplanet habitability His recent publications span geodynamics, geochemistry, and interdisciplinary applications, including mantle rheology, melt transport, and hematologic oncology. Awards and grants are tied to his leadership in the Cambridge NERC Doctoral Landscape Awards (DLA) and collaborations in the C-CLEAR Doctoral Training Partnership.

Christine Polzinمشاهده پروفایل

پژوهشگر

• Sustainability transformations
• Behavioural environmental governance
• Biodiversity & Trade
• +۴ مورد دیگر

Dr. Christine Polzin is a Senior Researcher at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany, working in the Department of Environmental Politics. Her research focuses on sustainability transformations, behavioral environmental governance, biodiversity and trade, and bio-based negative emissions technologies. She earned her PhD (Dr. rer. pol.) from the Research Center for Sustainability Studies at the University of Bremen between 2022-2024. PhD (Dr. rer. pol.) in Sustainability Studies, University of Bremen (2022-2024) M.Phil. in Development Studies, University of Oxford (2005-2007) German French Double-Diploma Programme in International Business Studies and Economics, European University Viadrina & Reims Management School (2000-2004) Dr. Polzin's research examines how societies can transition toward sustainability through governance innovations, policy instruments, and sociotechnical transformations. Her work spans multiple disciplines including environmental politics, political economy, and sustainability science. She investigates the interplay between policy visions, institutional change, and practical implementation of sustainability transitions, with particular attention to agricultural systems, biodiversity governance, and behavioral aspects of environmental decision-making. Analysis of her publications reveals consistent focus on sociotechnical transformations toward sustainability, with recent work examining visions in sustainability transformations, governance frameworks, and the psychological dimensions of environmental action. Her research spans theoretical frameworks like the capability approach while maintaining strong connections to practical policy applications and real-world sustainability challenges. Dr. Polzin currently leads the BioNET project on Multi-level Assessment of Bio-based Negative Emission Technologies and the PEER Project on establishing a policy-relevant research agenda on biodiversity and trade. Her previous projects include GLAMURS (Green Lifestyles, Alternative Models and Upscaling Regional Sustainability), VOODOO (Viral eco-evolutionary dynamics of wild and domestic pollinators), and Governance of Sociotechnical Transformations (GoST). She has been affiliated with the Helmholtz Centre for Environmental Research since 2014, following research positions at SERI in Vienna (2008-2013) and the University of Oxford (2007-2008). Her work demonstrates strong interdisciplinary connections between environmental science, political economy, and sustainability transitions research.

Sally M. Bensonمشاهده پروفایل

استاد

• Greenhouse Gas Emissions Reduction
• Geological CO2 Storage
• Energy Systems Analysis
• +۳ مورد دیگر

Sally M. Benson is the Precourt Family Professor in the Department of Energy Resources Engineering at Stanford University's School of Earth, Energy & Environmental Sciences, with joint appointments as Senior Fellow at the Woods Institute for the Environment and Precourt Institute for Energy. Her research specializes in decarbonization pathways, including geological CO₂ storage and energy system transitions. From 2021–2023, she served as Energy Division Director at the White House Office of Science and Technology Policy. Previously, she led the Stanford Center for Carbon Storage (2013–2020) and Global Climate and Energy Project (2009–2019). She holds board positions at the Global Carbon Capture and Storage Institute and Breakthrough Energy Innovation Council. Education Ph.D., Material Science & Mineral Engineering, University of California, Berkeley (1988) M.Sc., Material Science & Mineral Engineering, University of California, Berkeley (1984) B.A., Geology, Barnard College, Columbia University (1977) Research Focus Benson's work integrates experimental, computational, and policy approaches to advance carbon management. Key areas include: 1) Geological CO₂ storage , with emphasis on trapping mechanisms, monitoring, and heterogeneity impacts; 2) Energy system decarbonization through technoeconomic analysis of batteries, hydrogen, and grid integration; and 3) Climate mitigation frameworks for industrial and infrastructure transitions. Publication Trends Her recent articles (2022–2025) demonstrate three dominant themes: 1) Carbon storage optimization through advanced ML models, real-time monitoring, and multiscale heterogeneity studies; 2) Energy storage systems including battery recycling, sodium-ion tech, and grid flexibility; and 3) Cross-sector decarbonization of buildings, pipelines, and industrial processes. Methodologies emphasize machine learning, high-resolution imaging, and field validations. Awards American Academy of Arts and Sciences (2023) Leadership & Infrastructure She directs the Benson Lab and co-founded Stanford's carbon initiatives including the Center for Carbon Storage and Carbon Removal Initiative . Her teams collaborate globally on subsurface characterization, energy policy, and technology deployment.