جست‌وجوی استاد و پژوهشگر

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.

• Discretization Methods
• Porous Media Flow
• Numerical Simulation
• +۳ مورد دیگر

Bernd Flemisch is an Adjunct Professor at the University of Stuttgart, affiliated with the Department of Hydromechanics and Modelling of Hydrosystems within the Institute for Modelling Hydraulic and Environmental Systems. He holds a Dr. rer. nat. habil. (2013) and has been active in academic research since 2001. Education: 2001: M.Sc. in Mathematics, Iowa State University 2006: Doctoral Degree (Dr. rer. nat.), University of Stuttgart 2013: Habilitation (Dr. rer. nat. habil.), University of Stuttgart Research Interests: Flemisch specializes in discretization methods, solvers, and research software development for porous media flow. His work focuses on numerical simulation of multiphase systems, coupled flow processes, and adaptive multi-scale modeling. Key areas include computational geosciences, fluid mechanics, and energy storage solutions such as hydrogen and CO₂ sequestration. Professional Activities: Since 2024: Project leader in CRC 1667 and Base4NFDI/Jupyter4NFDI Since 2023: Dean of Studies for Civil Engineering at University of Stuttgart Leadership roles in NFDI4Ing (National Research Data Infrastructure for Engineering) Co-developer of open-source simulators like DuMuX and Frackit Lab & Teams: Engages in collaborative projects such as the FluidFlower CO₂ storage experiment and the Stuttgart Center for Simulation Science (SC SimTech). His work emphasizes reproducible research and sustainable software practices.

• Materials Science
• Renewable Energy
• Perovskite Solar Cells
• +۱ مورد دیگر

Keqing Huang is a Postdoctoral Fellow at the Australian National University's College of Engineering, specializing in perovskite solar cell research. He investigates high-performance solar cells, flexible perovskite devices, and effects of external stimuli like radiation on device physics. Huang earned his B.S. and M.S. from Central South University and PhD from ANU. His research focuses on enhancing efficiency and stability of perovskite photovoltaics through interface engineering, novel material compositions, and scalable fabrication techniques. Recent work addresses challenges in commercialization, including humidity tolerance during manufacturing and radiation resistance for space applications. Huang's publications demonstrate consistent innovation in device architecture, particularly through interface modification strategies and additive engineering. His work spans fundamental material studies to large-scale module development. Awards include: Excellent Master's Thesis of Hunan Province Excellent Poster Award at The 7th Conference on New Generation Solar Cells He collaborates with research teams at ANU's Engineering Building and contributes to advancing renewable energy technologies through materials innovation.

Timothy Ginnمشاهده پروفایل

استاد

• Reactive Transport
• Hydrogeology
• Groundwater Age Modeling
• +۷ مورد دیگر

Timothy Ginn is Boeing Distinguished Professor of Environmental Engineering at Washington State University's College of Engineering, with a joint appointment as Affiliate Professor in the Department of Mathematics and Statistics. He holds a PhD in Civil Engineering from Purdue University (1988), MS in Civil Engineering (1985), and BS in Classics and Environmental Sciences from University of Virginia (1982). Prior to WSU, he held positions at UC Davis (1997-2015) and Battelle National Laboratories (1989-1997). His research focuses on reactive transport phenomena in environmental systems, with specialized expertise in: groundwater age modeling, scalar dissipation theory, multidomain diffusion, pre-asymptotic dispersion, and biogeochemical reactive transport. His work integrates advanced mathematical approaches with practical applications in contaminant transport, microbial processes, and water resources engineering. Analysis of his 15 most recent publications reveals strong emphasis on: 1) Development of novel transport models incorporating temporal dynamics 2) Experimental and theoretical studies of contaminant behavior in porous media 3) Hydrological process quantification through tracer methods 4) Biogeochemical interactions in engineered and natural systems. Recurring themes include residence time distributions, mixing-limited reactions, and inverse problem solutions. Scientific Awards: Crimson Spirit Award, WSU (2022) Outstanding Engineering Mid-Career Award, UC Davis (2010) Excellence in Reviewing, American Geophysical Union (1991, 2014) He teaches undergraduate courses in Fluid Mechanics (CE 315), Water Resources Engineering (CE 351), and Groundwater (CE 475), and graduate courses in Inverse Problems (CE 543) and Biogeochemical Reactive Transport (CE 543). Leads research on subsurface transport phenomena through his laboratory, focusing on experimental validation of theoretical models in hydrologic systems.

Dionissios T. Hristopulosمشاهده پروفایل

استاد

• Geostatistics
• Spatial Random Fields
• Spartan Spatial Random Fields
• +۱۵ مورد دیگر

Dionissios T. Hristopulos is a Professor and Head of the Geostatistics Laboratory at the School of Mineral Resources Engineering, Technical University of Crete, Greece. His research spans geostatistics, spatial random fields, environmental modeling, stochastic hydrology, and porous media mechanics. He has developed innovative Spartan Spatial Random Field (SSRF) models rooted in statistical physics, enabling efficient spatial interpolation and simulation. PhD in Physics, Princeton University (1991) MA in Physics, Princeton University (1988) Diploma in Electrical Engineering, National Technical University of Athens (1985) Hristopulos' research interests focus on the development and application of geostatistical methods in mineral resources, environmental monitoring, petroleum reservoirs, and GIS. He investigates spatial anisotropy, groundwater dynamics, earthquake return times, and the mechanical properties of heterogeneous materials. His work bridges statistical physics and geostatistics, particularly through SSRF models and renormalization group methods for upscaling transport properties in porous media. The most recent publications highlight his focus on geometric anisotropy detection in environmental data, non-parametric estimation methods, and applications of Spartan random fields in environmental time series and spatial data interpolation. His work increasingly integrates machine learning concepts with geostatistical modeling, especially for automatic mapping and ecological monitoring using remote sensing. Marie Curie success story (European Commission, 2010) for SPATSTAT project Hristopulos has secured research funding from national and EU programs, including the Marie Curie Transfer of Knowledge (SPATSTAT) and the INTAMAP STREP project. He has mentored several Master’s and PhD students, including Manos Varouchakis (PhD candidate on groundwater monitoring) and Manolis Petrakis (Master’s on anisotropy characterization). He collaborates with researchers in the US, France, Slovakia, and the UK. He serves on the editorial board of Stochastic Environmental Research and Risk Assessment and has contributed software tools for anisotropy detection in MATLAB and R. His research group, the Geostatistics Laboratory at TUC, focuses on machine learning and geostatistics, developing computational tools for environmental data analysis, spatial interpolation, and simulation. The lab emphasizes practical applications in hydrology, ecology, and mineral resources, supported by strong theoretical foundations in statistical physics and stochastic modeling.

• Biophilic Urbanism
• Environmental Technology
• Urban Planning
• +۳ مورد دیگر

D.C. Lefosse is a researcher in the Department of Architecture and the Built Environment, specializing in Environmental Technology and Design. Their work focuses on biophilic urbanism, climate resilience, and sustainable urban planning. They lead the BIO-POLIS project, developing holistic models for urban planning and climate adaptation. Lefosse holds a Dr.arch. degree and has published extensively on topics such as biophilic design, environmental psychology, and AI-driven ecological measurements. Education : Dr.arch. in Architecture (specific institution not explicitly stated). Research interests include integrating natural elements into urban environments, measuring human-environment interactions, and scaling biophilic strategies for climate resilience. Recent work leverages visual AI to quantify biophilic perceptions across global biomes. Key projects include the BIO-POLIS initiative (2021–2024), which combines urban planning with ecological design principles. Their publications emphasize interdisciplinary approaches, merging environmental science with architectural innovation.

Tristan Quaifeمشاهده پروفایل

استاد

• Earth System Science
• Remote Sensing
• Climate Modeling
• +۶ مورد دیگر

Tristan Quaife is a Professor of Earth System Science at the Department of Meteorology, University of Reading. His research focuses on integrating remote sensing data with Earth system models to better understand vegetation dynamics, carbon cycles, and climate interactions. He leads projects involving land surface modeling, data assimilation techniques, and the application of satellite observations in ecological and agricultural contexts. Key collaborations include work on crop modeling, canopy structure analysis, and peatland monitoring. His contributions span advancements in radiative transfer models and the development of frameworks for agricultural decision support. Affiliations: Department of Meteorology, University of Reading. Research Interests: Earth System Science, Remote Sensing, Climate Modeling, Vegetation Dynamics, and Data Assimilation. His recent work emphasizes the role of 3D canopy structures in photosynthesis modeling and the development of hybrid data assimilation methods. He also explores the impacts of climate change on agricultural productivity and peatland ecosystems. Collaborations involve institutions globally, advancing interdisciplinary approaches to environmental challenges. Key articles highlight his contributions to land surface modeling, carbon cycle projections, and the application of machine learning in validating Earth system models. His research bridges theory and application, informing policy through improved climate and environmental predictions.

Albert Van Dijkمشاهده پروفایل

استاد

• Water Science
• Environmental Science
• Hydrology
• +۳ مورد دیگر

Albert Van Dijk is a Professor at the Fenner School of Environment & Society, Australian National University (ANU), where he established and leads the Centre for Water and Landscape Dynamics. He holds an MSc and PhD in Environmental Sciences from VU University Amsterdam. His career includes significant contributions at CSIRO Land and Water (2003-2012), where he received awards for leadership in the Murray-Darling Sustainable Yields project and development of the Australian Water Resources Assessment system. His research focuses on interactions between vegetation and the hydrological cycle, addressing soil erosion, nutrient cycling, surface energy balance, carbon cycling, fire risk, and biodiversity. He integrates satellite remote sensing, IT, statistics, and modeling to study natural hazards, water resources, and agricultural production. Professor Van Dijk chairs the Hydrology and Quantitative Water Management Group at Wageningen University and the Australian Energy and Water Exchange Initiative (OzEWEX). He has authored over 200 publications and leads projects like the TERN Australia's Environment Report Production and Spatial Distributions of Tree Canopies in Arid Ecosystems. His work emphasizes practical applications in environmental monitoring and forecasting.

Andrew Pomfretمشاهده پروفایل

مدرس ارشد

• Intelligent Systems
• Robotics
• Flight Control
• +۴ مورد دیگر

Dr. Andrew Pomfret is a Senior Lecturer in the Department of Electronic Engineering at the University of York. His research focuses on intelligent systems and robotics, with expertise in avionics, cognitive networking, and control engineering. He actively supervises PhD students in areas like fault-tolerant systems and multi-agent systems. His work spans robotics, control systems, and interdisciplinary applications in aerospace and environmental science. Education & Affiliations: Electronic Engineering (Lecturer, University of York) Research Interests: Flight control, evolutionary algorithms, structural reconfiguration, image processing, and robotics. His recent work emphasizes robotic swarm intelligence, cooperative transport systems, and eigenstructure assignment in control systems. Publications: His research explores topics like error diversity in robotic swarms, cooperative robotic communication, and helicopter handling qualities. Key areas include swarm task partitioning, multi-agent coordination, and control system optimization. Grants & Projects: Upscaling of greenhouse gas emissions from freshwater wetlands (NERC-funded, 2017–2019) SkyGas: Development of a new technique for determining watershed/airshed gas fluxes (NERC-funded, 2012–2013) Labs/Teams: Collaborates with research groups in robotics and control systems at the University of York, focusing on interdisciplinary projects involving autonomous systems and environmental monitoring.

Steven E Kochمشاهده پروفایل

استاد مدعو

• Mesoscale Meteorology
• Severe Storms Analysis and Prediction
• Gravity Waves
• +۳ مورد دیگر

Steven E. Koch is an Adjunct Professor at the University of Arizona, specializing in mesoscale meteorology, severe storms, gravity waves, and numerical weather prediction. His career spans over four decades, with a Ph.D. in Meteorology from the University of Oklahoma (1979) and an M.S. from the University of Wisconsin-Madison (1974). He has contributed significantly to advancing operational forecasting through research-to-operations transitions at NOAA/NWS. His work focuses on understanding mesoscale atmospheric processes, including tornado dynamics, gravity wave propagation, and the integration of remote sensing technologies. Research interests include the analysis of mesoscale convective systems, environmental modifications during severe weather events, and the application of unmanned aircraft systems (UAS) for atmospheric sampling. Koch has led initiatives such as the Developmental Testbed Center (DTC) to evaluate ensemble models and improve forecast accuracy. His recent studies emphasize the multiscale interactions driving tornado outbreaks and the role of latent processes in storm longevity. Publications highlight advancements in data assimilation techniques, such as integrating radar and satellite observations into high-resolution models. His work on gravity waves underscores their impact on midlatitude weather patterns and atmospheric stability. Koch’s contributions have been recognized through collaborations with organizations like NOAA and the American Meteorological Society, including an oral history interview detailing his career’s impact on atmospheric sciences.

• Machine Learning
• Uncertainty Quantification
• Stochastic Optimization
• +۳ مورد دیگر

Ryan King is a senior researcher at the National Renewable Energy Laboratory (NREL), focusing on optimization, machine learning, and uncertainty quantification applied to energy systems and turbulent flows. He leads projects involving physics-informed deep learning for wind energy systems, wind farm modeling, and multi-fidelity uncertainty quantification. His educational background includes a PhD in Mechanical Engineering from the University of Colorado and a Bachelor's from MIT. He has worked on over 750 MW of wind energy projects prior to his research role. Key research interests include turbulent flows, deep learning applications in energy, stochastic optimization, and adjoint methods. He has received the NREL Outstanding Mentor Award in 2018 and 2019. His work bridges computational science with energy innovation, addressing challenges in wind farm design, climate change impacts, and renewable energy systems through advanced AI and data-driven methodologies.

Judith Halaszمشاهده پروفایل

دانشیار

• Urban Sociology
• Gentrification
• Affordable Housing
• +۷ مورد دیگر

Judith Halasz is an Associate Professor in the Department of Sociology at SUNY New Paltz, specializing in culture, film studies, urban sociology, and social theory. Her career spans 2006 to present, with promotions from Lecturer to Associate Professor and interim chairmanship (2019-2020). She holds a PhD in Sociology with a Film Studies Certificate from CUNY (2007) and a BA in Mathematics from Brown University (1995). Research focuses on gentrification/supergentrification in NYC (particularly Brooklyn), affordable housing inequality, Lower East Side bohemian history, and gender politics in avant-garde cinema. Publications appear in journals like Journal of Urban Affairs , Urban Geography , and Teaching Sociology , culminating in her 2015 book The Bohemian Ethos . Awards include the RSCA Undergraduate Research Mentor Award (2019) and University Film & Video Association's History/Theory/Criticism Paper Award (2005). She actively contributes to academic service through committee memberships, conference organization, and peer-review activities across 20+ journals.

Maciej Buzeمشاهده پروفایل

مدرس

• Materials Science
• Applied Mathematics
• Computational Mathematics
• +۴ مورد دیگر

Maciej Buze is a Lecturer in Mathematics and AI at the School Of Mathematical Sciences , Lancaster University , UK. His role is part of the MARS (Mathematics for AI in Real-world Systems) research group. PhD in Mathematics and Statistics (2019) from University of Warwick Advisors: Prof. Christoph Ortner and Dr. Thomas Hudson MSc in Mathematics and Statistics (2016) from University of Warwick BSc in Mathematics (2015) from University of Strathclyde His research bridges applied and computational mathematics with materials science and data science, focusing on: Atomistic modeling of defects in crystalline materials Upscaling approaches for near-crack-tip plasticity Microstructure modeling in polycrystalline materials (with Tata Steel) Uncertainty quantification for interatomic potentials Optimal transport theory and applications Scientific GPU computing and machine learning His recent publications address continuum boundary conditions in atomistic fracture simulations and constrained barycenter formulations in unbalanced optimal transport. Software tools developed include the PyAPD library for GPU-accelerated anisotropic power diagrams. Scientific awards include Election to Edinburgh Mathematical Society . He supervises PhD projects in atomistic modeling and optimal transport applications, funded through the MARS program. Past roles include research associate positions at Heriot-Watt University, University of Birmingham, and Cardiff University, supported by EPSRC grants.

• Porous Media
• Fluid Dynamics
• Heat and Mass Transfer
• +۳ مورد دیگر

Didier Lasseux is a researcher at the University of Bordeaux, affiliated with the TREFLE laboratory (Transferts Fluides Énergétique) and its GT Porous Media group. His work focuses on modeling and simulating fluid flow, heat transfer, and transport phenomena in porous media, with applications in civil engineering, environmental science, and material characterization. Research Areas: Porous media mechanics, slip and inertial flow effects, upscaling methods, and pore-scale modeling. Key Applications: Carbon brush seals, fungal pellets, porous electrodes, and geological media. Recent publications emphasize advancements in macroscopic modeling, dynamic capillary pressure, and slip flow transmissivity. His work bridges theoretical analysis with experimental validation across mechanical and environmental engineering domains.

Joseph Michael Wheatonمشاهده پروفایل

استاد

• Fluvial Geomorphology
• Ecohydraulics
• River Restoration
• +۵ مورد دیگر

Joseph Michael Wheaton is a Professor in the Department of Watershed Sciences at Utah State University, where he leads the Ecogeomorphology and Topographic Analysis Lab (ET-AL) as part of the Fluvial Habitats Center. His research integrates fluvial geomorphology and ecohydraulics to advance river restoration, focusing on uncertainties in environmental management and sediment budgeting. He mentors graduate students and develops tools for topographic analysis and habitat monitoring. Utah State University, Department of Watershed Sciences PhD in Geography, University of Southampton (2008) MS in Hydrologic Sciences, University of California Davis (2003) BS in Hydrology, University of California Davis (2002) Wheaton's research spans fluvial geomorphology , ecohydraulics , and river restoration , with applications in: Sediment Budgeting in regulated rivers Beaver-Assisted Restoration for hydrologic and thermal regime improvement GIS Tools like the CHaMP Transformation Tool Uncertainty Quantification in topographic and flow modeling Multi-Scale Feedbacks in ecogeomorphology Climate Change Impacts on streamflow dynamics His 15 most recent publications emphasize fluvial processes, sediment transport, and restoration technologies. Key themes include: High-resolution topographic analysis for landscape dynamics Beaver dams' influence on stream ecosystems Geomorphic change detection for restoration monitoring Sediment budgeting in regulated river systems GIS-based tools for habitat mapping Scientific awards include: Overseas Research Studentship (2003) Citation for Undergraduate Hydrology Excellence (2002) LAWR Opportunity Fund (2002) California Groundwater Association Scholarships (2000-2001) Engineering Contractors Association Scholarship (2000) He teaches courses on fluvial geomorphology , ecohydraulics , low-tech restoration , and GIS applications , including field-based workshops. His lab collaborates on projects like the Beaver Restoration Assessment Tool and BRAT for watershed-scale planning.