جست‌وجوی استاد و پژوهشگر

Bin Luمشاهده پروفایل

استاد

• Biogeochemistry
• Environmental Science
• Climate Change
• +۳ مورد دیگر

Dr. Bin Lu holds a professorship in Nanophotonics at ETH Zürich, Switzerland. Their research focuses on methane dynamics in aquatic and marine environments, biogeochemical cycles, and the interplay between ecological processes and climate change. Key areas include sediment methane fluxes, invasive species impacts, and the role of migratory organisms in ecosystem function. Research interests span marine geology, limnology, and environmental modeling, with a particular emphasis on Baltic Sea ecosystems, alpine streams, and tropical lakes. Dr. Lu's work integrates field observations, experimental simulations, and isotope tracing to understand carbon cycling mechanisms and anthropogenic influences on natural systems. Recent studies analyze methane emissions from rivers and lakes, effects of Chaoborus larvae on water quality, and the mitigation potential of invasive macrophytes. Publications highlight methodological advancements in flux measurement techniques and spatial-temporal scaling of ecological impacts.

Soon Min Ngمشاهده پروفایل

استادیار

• Rainfall Induced Slope Failure
• Unsaturated Soil Mechanics
• Slope Stability Analysis
• +۵ مورد دیگر

Soon Min Ng is an Assistant Professor and Programme Director of the Civil Engineering programme at Heriot-Watt University Malaysia's School of Energy, Geoscience, Infrastructure and Society. He holds a PhD in Geotechnical Engineering from Universiti Sains Malaysia (2016), alongside B.Eng and M.Sc degrees in Civil Engineering from the same institution (2009 and 2012). He is a Chartered Engineer (CEng, UK), Professional Engineer (PEng, Malaysia), and member of the Institution of Civil Engineers (ICE). His professional roles include committee membership in the Geotechnical Engineering Technical Division (GETD) of the Institution of Engineers Malaysia (IEM) since 2018. His research focuses on rainfall-induced slope failures, unsaturated soil mechanics, slope stability forecasting, and sustainable construction materials. Key projects include developing 3D subsurface models for landslide investigations, groundwater level prediction systems, and pore pressure response modeling during rainfall infiltration. He has contributed to over 15 peer-reviewed publications since 2012, emphasizing geotechnical hazards, numerical modeling, and sustainable engineering solutions. Educational Background : PhD in Geotechnical Engineering, Universiti Sains Malaysia (2016) M.Sc Civil Engineering, Universiti Sains Malaysia (2012) B.Eng (Hons) Civil Engineering, Universiti Sains Malaysia (2009) Ng has been recognized with the Bronze Medal at SIIDEx 2018 for design innovation. His work aligns with UN SDGs addressing sustainable infrastructure and climate resilience. He advises PhD students and actively collaborates on projects involving geophysical surveys, slope stabilization, and waste material utilization in construction. Grants & Collaborations : Focus on Malaysia-centric geotechnical challenges Partnerships with industry and government agencies for applied research

• Hydrogeology
• Groundwater Modeling
• Uncertainty Analysis
• +۵ مورد دیگر

Syed Mustafa is a Lecturer and researcher in Hydrogeology at the Hydrology and Quantitative Water Management group at Wageningen University & Research. He holds a PhD in Hydrogeology (Vrije Universiteit Brussel) and a Master’s in Water Resources Engineering from KU Leuven and VUB. His research focuses on groundwater modeling, uncertainty analysis, and sustainable water management. He has held postdoctoral roles at the University of Oulu, University of Aberdeen, and VUB, and part-time guest professorships at VUB. Research Projects: Principal Investigator (PI) for EU Horizon FARMWISE and UK-based GCRF-funded projects on groundwater security in Cox’s Bazar. Involved in WATERAGRI and Connect4 Water Resilience projects. Research Interests: Numerical modeling, groundwater-surface water interactions, climate resilience, and integrated hydrological systems. He developed the Integrated Bayesian Multi-model Uncertainty Estimation Framework (IBMUEF) to quantify uncertainties in groundwater models. Advising & Grants: Supervising three PhD projects: Gorongosa National Park hydrogeology, managed aquifer recharge in Bangladesh, and drought impacts in Flanders. Grants include EU H2020 and UKRI funding. Labs/Teams: Active in transboundary water governance initiatives, particularly in the Limpopo River Basin, focusing on collaborative modeling for hydrological extremes.

• Subsurface Reservoir Modeling
• CO2 Enhanced Oil Recovery & Storage (CEORS)
• Data-Driven Techniques in Reservoir Simulation
• +۶ مورد دیگر

Ashkan Jahanbani Ghahfarokhi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Geosciences (IGV), specializing in reservoir engineering. He leads the CEORS Gemini Centre, a strategic collaboration between NTNU and SINTEF on CO2 Enhanced Oil Recovery & Storage. His roles include Head of the Well and Reservoir Group (2021-2022), Project Manager for the NORHED II Program in Mozambique, and Guest Editor for the Energies journal's AI/ML in Oil & Gas Special Issue. Education: PhD (NTNU, 2015), MEng (University of Calgary, 2009), MSc/BSc (Petroleum University of Technology, Iran) Research focuses on subsurface reservoir modeling, CO2 storage, data-driven techniques, and production optimization. Key interests include: CO2-EOR/Storage system design Machine learning integration in reservoir simulation Wellbore-reservoir coupling dynamics Recent articles emphasize advanced numerical modeling of CO2 injection in depleted gas fields, AI-driven proxy models for reservoir optimization, and interfacial tension analysis for hydrogen storage. His work spans 40+ peer-reviewed papers and 20+ conference presentations. Scientific Awards: NTNU's Outstanding Academic Fellows Programme (2022-2026), DNVA Postdoctoral Scholarship (2015-2017) Supervised 20+ master’s students and 4 PhD candidates, including Jinjie Mao (CO2 storage optimization), Cuthbert Ng (data-driven reservoir modeling), and Behnam Tavagh Mohammadi (CO2 field storage modeling). Active in teaching reservoir simulation, CO2 storage engineering, and petroleum geoscience courses at NTNU.

• Agricultural Water Management
• Soil Hydrology
• Irrigation Systems
• +۳ مورد دیگر

Reinhard Nolz is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU) , affiliated with the Institute of Soil Physics and Rural Water Management . His work focuses on optimizing irrigation strategies, soil water monitoring, and hydrological modeling to ensure sustainable water use in agriculture. Research Highlights Developed climate-resilient irrigation frameworks Advanced lysimeter-based water balance studies Integrated sensor networks for real-time soil moisture Validated evapotranspiration models Conducted international agricultural hydrology collaborations Publications 20+ peer-reviewed articles (2009-2024) on irrigation technology Key contributions to Acta Hydrologica Slovaca and Die Bodenkultur Service Editorial Board Member: Acta Hydrologica Slovaca (2017-2020) Peer reviewer for Geoderma , Journal of Hydrology

• Petroleum Engineering
• Reservoir Engineering
• Carbon Sequestration
• +۴ مورد دیگر

Dr. Xudong Jing FREng is a Visiting Professor at Imperial College London's Department of Earth Science & Engineering within the Faculty of Engineering. He holds over 30 years of global expertise in energy technology innovation, field development, and CO2 geological storage (CCS/CCUS). His academic career includes roles as a Lecturer (1994–1999) and Reader (1999–2003) at Imperial College before transitioning to industry leadership. He currently serves as Vice President of Subsurface Excellence at ADNOC Group and leads Shell's Global IOR/EOR/CCS initiatives. Dr. Jing specializes in reservoir engineering, carbon sequestration, and unconventional resource development. His research focuses on optimizing hydrocarbon recovery while mitigating emissions, leveraging advanced core analysis, pore-scale modeling, and reservoir simulation techniques. He has pioneered methodologies for evaluating heavy oil projects and improving sweep efficiency in layered carbonate reservoirs. Education: PhD, DIC Imperial College London (United Kingdom) BSc China University of Petroleum, East China (Qingdao, China) Global Business Leadership Program, INSEAD (Abu Dhabi/Singapore) Research & Awards: Recipient of the Society of Core Analysts' Darcy Award Fellowships: Royal Academy of Engineering, Energy Institute, Royal Society of Chemistry Key technical advisor to major energy projects globally Authored over 150 technical publications spanning core analysis, EOR, and carbon storage Professional Contributions: Executive committee member of international energy societies Regular keynote speaker at industry forums (SPE, EAGE, IOR conferences) Developed novel benchmarking methods for heavy oil/EOR projects Advances in capillary pressure modeling and wettability effects Labs & Teams: Leadership in Imperial College's Earth Science & Engineering labs Shell Innovation Centre for CCS/CCUS technologies ADNOC Subsurface Excellence Center for reservoir optimization

Jean-Philippe Nicotمشاهده پروفایل

استاد پژوهشی

• Numerical modeling of multiphase flow
• Contaminant transport
• Geochemical modeling
• +۶ مورد دیگر

Jean-Philippe Nicot serves as a Research Professor at the Bureau of Economic Geology within the Jackson School of Geosciences at the University of Texas at Austin. His research focuses on the critical intersection of energy production and water resources, with particular expertise in numerical modeling of subsurface processes. Dr. Nicot's research interests encompass numerical modeling of multiphase flow and contaminant transport in both unsaturated and saturated zones, geochemical modeling and reactive transport , water resources management , and risk assessment and analysis . His work has significantly contributed to understanding the water-energy nexus, particularly regarding hydraulic fracturing operations and carbon sequestration projects in Texas. His publication record demonstrates consistent focus on water use in oil and gas operations, with particular emphasis on the Barnett Shale region. The research shows evolving trends from basic water use characterization to more sophisticated analyses of water management practices, environmental impacts, and regulatory frameworks. His work often connects groundwater protection concerns with energy development needs. Dr. Nicot's professional activities include extensive work on water use reporting for the Texas oil and gas industry, providing critical data for policy decisions regarding water allocation during periods of drought and increasing energy demand.

Lennart Schülerمشاهده پروفایل

پژوهشگر

• Earth System Modelling
• Hydroclimatology
• Geo-Statistical Methods
• +۲ مورد دیگر

Lennart Schüler is a postdoctoral researcher in the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His work focuses on advanced hydrological modeling, data assimilation techniques, and climate change impact assessments through projects like MOMENT (Improving water and carbon cycle representation in ecosystems) ULYSSES (Global multi-model hydrological forecasting system) 4DHydro (Earth Observation-hydrology integration) Research interests include: Earth System Modelling with compartment coupling Hydroclimatology and extreme event analysis Geo-statistical optimization algorithms Environmental informatics applications His 2016 PhD from University of Jena investigated Filtered Density Functions for Uncertainty Assessments of Groundwater Transport , supervised by Sabine Attinger and Nicolae Suciu. Articles span from 2011-2024 with recent work on pandemic modeling (2024) and virtual forest analysis (2023). Major collaborations include institutions like University of Illinois, BOKU Vienna, and Copernicus Climate Change Service.

• Energy Storage
• Renewable Energy
• Intelligent Energy Systems
• +۶ مورد دیگر

Dr Zuansi Cai serves as an Associate Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. He is a member of the EPSRC Peer Review College and leads the Centre for Artificial Intelligence and Robotic research group. Expertise in Energy Storage and Renewable Energy system integration Developed the GPSFLOW numerical simulator for subsurface hydrogen and gas-mixture storage Research Focus: His work bridges Intelligent Energy Systems with Water Resources & Climate Change , emphasizing subsurface storage solutions for renewable energy. Key areas include Hydrogen Storage , Compressed Air Energy Storage (CAES) , and Lithium-ion Battery Thermal Management . Recent Publications: 15+ articles on hydrogen storage dynamics in salt caverns (2024), machine learning for solar PV forecasting (2022), and aquifer CAES performance (2021). Collaborations span EU Horizon 2020 and Royal Academy of Engineering projects. Scientific Recognition: Royal Academy of Engineering Industrial Fellowship (2021/22) Fellow of The Higher Education Academy and The Geological Society Academic Contributions: Supervises 10+ postgraduate researchers at ENU and international universities. Key projects include the iMARS (European Commission funded) and Rough Reservoir hydrogen adaptation studies.

• Mathematical Modeling
• Epidemiology
• Digital Twin
• +۷ مورد دیگر

Garcia Subirana, Joan is affiliated with the Universitat Politècnica de Catalunya (UPC), specifically within the Faculty of Computer Science of Barcelona (FIB) and the Department of Statistics and Operations Research. He is actively engaged in interdisciplinary research combining computational modeling, public health, and environmental systems. His research interests focus on mathematical and computational modeling of complex systems, particularly in the context of epidemiology and environmental sustainability . Key areas include digital twin applications for pandemic forecasting, wastewater-based surveillance, formal modeling using Specification and Description Language (SDL), and modeling of bioclogging in constructed wetlands. The recent publications (2016–2024) reflect a strong trend in applying simulation and data-driven methods to public health challenges, especially surrounding SARS-CoV-2 and co-circulating viruses. The work emphasizes model validation , scenario analysis , and real-world implementation in Catalonia. There is also growing interest in digital innovation for education and climate resilience. Scientific Contributions: Lead contributor to digital twin frameworks for pandemic modeling. Active participant in competitive R&D projects (e.g., DIH4CAT, SDL-PAND). Contributor to sustainable development goals, including health, climate action, and reduced inequalities. Garcia Subirana collaborates extensively with researchers such as Pau Fonseca and Víctor García, primarily within the IMP (Information Modeling and Processing) and inLab FIB research groups. While no formal advising or grant leadership is explicitly mentioned, his involvement in multiple funded projects suggests active participation in research teams and potential mentorship roles. No labs or teams are explicitly named beyond research group affiliations.

• Rock Mechanics
• Fault Mechanics
• Geo Energy
• +۷ مورد دیگر

Dr. Wenzhuo Cao is an Assistant Professor at the Faculty of Geosciences , Utrecht University , specializing in coupled subsurface processes within the Department of Earth Sciences and the Earth Simulation Lab . His work bridges geomechanics, geo-energy, and sustainability. Key research areas include: Induced seismicity from fluid injection and mining Thermo-hydro-mechanical (THM) modeling for energy systems Rock fracture and permeability under stress Subsurface storage (CO2, geothermal, hydrogen) His 2023-2025 publications focus on forecasting seismic risks, optimizing energy storage, and experimental rock deformation. Recent works employ numerical simulations and statistical models to address mining hazards and geothermal systems. Current affiliations: Assistant Professor, Utrecht University Experimental Rock Deformation/HPT Group Pathways to Sustainability Research Theme

• Computational Subsurface Hydrology
• Discrete Fracture Network Modeling
• Anomalous Transport in Porous Media
• +۷ مورد دیگر

Rishi Parashar serves as a Research Professor in Hydrologic Sciences at the Desert Research Institute (DRI), affiliated with the University of Nevada Reno's Graduate Program of Hydrologic Sciences. His work bridges computational hydrology, geothermal systems, and microbial transport processes within fractured rock environments. Education: Ph.D. in Civil Engineering, Purdue University (2008) M.S. in Civil Engineering, Purdue University (2003) B.S. in Civil Engineering, Indian Institute of Technology, Roorkee (2001) Parashar's research centers on computational subsurface hydrology , where he develops discrete fracture network (DFN) models to simulate anomalous transport in porous media and upscaling techniques for complex flow systems. His hydro-bio-chemical systems work examines microbial motility, biofilm growth, and biogeochemical reactions governing contaminant fate. In thermo-hydro-mechanical interactions , he investigates enhanced geothermal systems (EGS) and induced seismicity through coupled process modeling. Recent publications reveal increasing integration of machine learning with traditional hydrological modeling, particularly in particle tracking and reactive transport upscaling. Analysis of his 15 most recent articles (2021-2025) shows dominant focus areas: 40% on microbial transport in porous media (including bacterial motility and biofilm effects), 30% on fracture network modeling and upscaling, 20% on contaminant remediation (particularly arsenic), and 10% on geothermal system dynamics. His collaborative work spans environmental engineering, computational science, and microbiology, with frequent co-authorship patterns indicating strong mentorship of early-career researchers. Parashar actively secures research funding through Department of Energy contracts, particularly for Nevada National Security Site projects involving fractured rock characterization. His advising portfolio includes numerous graduate students leading publications in high-impact journals like Water Resources Research and Advances in Water Resources . Current projects involve quantum algorithms for well capture zone determination and heat-sensitive epoxy foams for geothermal permeability alteration. Research Infrastructure: His work leverages DRI's computational resources for large-scale DFN simulations and collaborates with DOE laboratories on experimental validation through microfluidic devices and field-scale tracer tests. The Hydrologic Sciences division provides access to advanced characterization facilities for fractured rock systems.

• Volcano Seismology
• Earthquake Seismology
• Seismic Hazard Assessment
• +۳ مورد دیگر

Dr. Ellen Gottschämmer is a geophysicist who served as Senior Lecturer and researcher at Karlsruhe Institute of Technology's Geophysical Institute (GPI) until April 2022, now working in the Department of Mechanical Engineering. Her roles included Department Manager, Head of Study Program Management for ETIT and MACH programs, and founder of KIT's Geophysics school lab in 2012. She actively contributed to academic governance through the Faculty Council, Examination Committee, and German Geophysical Society's Executive Board. Her research focuses on Volcano Seismology and Earthquake Seismology, specializing in seismic hazard assessment through field-based methodologies. She pioneered "in-situ lecturing" techniques conducting geophysical field exercises across global locations including Guatemala's Santiaguito volcano, Indonesia, the Black Forest, Eifel region, and Mediterranean volcanoes. Her work integrates seismic, infrasound, and thermal monitoring to analyze volcanic processes and associated hazards, with particular emphasis on eruption dynamics and long-term activity patterns. Recent publications (2019-2021) demonstrate concentrated research on Santiaguito volcano, examining seismic tremor mechanisms, open-vent activity transitions, and explosion characteristics using multi-parameter monitoring. These studies reveal evolving eruption styles and precursory patterns critical for hazard assessment, often resulting from international collaborations with institutions in Guatemala and Indonesia. Her methodology emphasizes practical field data integration with classroom instruction. Dr. Gottschämmer developed comprehensive geophysics curricula including Introduction to Geophysics, Geological Hazards, and specialized field courses. She supervised student research through geophysical laboratory exercises and international field schools, while managing study program accreditation and module coordination. Her administrative leadership extended to chairing the Committee for Academic Studies at the German Geophysical Society. She founded KIT's Geophysics school lab in 2012, creating a dedicated space for hands-on geophysical education. This facility supports her innovative teaching approach through practical instrumentation training and serves as the operational base for international field expeditions to volcanic regions worldwide, fostering direct student engagement with active geohazards.

• Seismology
• Geophysics
• Earthquake Mechanics
• +۴ مورد دیگر

Dr. Mohammad Moein is a researcher at the Department of Earth Sciences, Free University of Berlin, specializing in geophysics and seismology. His academic journey includes a BSc in Petroleum Engineering (2010), MSc in Reservoir Geoscience (2012), and a PhD in Earth Sciences (2018) from ETH Zurich. He has held postdoctoral positions at Technical University of Darmstadt (2018-2019) and University of Halle (2019-2021), and since 2021, he leads a DFG-funded project on induced earthquakes in fractured rocks. His work bridges theoretical and applied geophysics, focusing on geo-energy applications. PhD: Earth Sciences, ETH Zurich (2018) MSc: Reservoir Geoscience and Engineering, IFP School (2012) BSc: Petroleum Engineering, Amirkabir University of Technology (2010) Moein's research explores the physical mechanisms of induced seismicity, stress heterogeneity in megathrust faults, and fracture network dynamics in crystalline rocks. He employs borehole imaging, hydraulic simulations, and statistical analysis to study depth-dependent fracture patterns and their implications for geothermal and carbon capture projects. His work has significant applications in assessing seismic risks associated with subsurface energy operations. His publications demonstrate interdisciplinary expertise across seismology, fracture mechanics, reservoir engineering, and geothermal systems. Key themes include pressure diffusion controls on earthquake magnitudes, fractal fracture analysis, and stress-based tomography. Current projects focus on DFG-funded research into induced seismicity mitigation. Dr. Moein's laboratory affiliations include the Seismology working group (AG Seismik) at the Institute of Geological Sciences, Free University Berlin. His career trajectory reflects a commitment to advancing geophysical understanding through field observations, experimental validation, and computational modeling.

Lluís Salo-Salgadoمشاهده پروفایل

پژوهشگر ارشد

• Geology
• Geophysics
• Planetary Science
• +۶ مورد دیگر

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