جستجوی استاد راهنمای دانشگاهی

Professor Ruchi Choudhary is a Professor in Architectural Engineering at the University of Cambridge, Department of Engineering, within the School of Technology. She leads the Energy Efficient Cities initiative (EECi), a cross-disciplinary research project focused on strengthening the UK's capacity to address energy demand reduction and environmental impact in cities through research in building and transport technologies, district power systems, and urban planning. Her research interests span urban energy systems, building energy modeling, sustainable cities, geothermal energy systems, and data-driven energy modeling . She has pioneered work in digital twins for energy systems, urban subsurface thermal modeling, and building-integrated agriculture. Her research group develops numerical tools to improve energy efficiency of cities, with particular focus on modeling energy consumption of large building sets at multiple time and spatial resolutions. Analysis of her recent publications reveals a strong trend toward integrating machine learning with physics-based modeling for energy systems, with increasing emphasis on uncertainty quantification, digital twins, and value of information analysis for decision-making. Her work bridges the gap between theoretical modeling and practical urban implementation, with significant focus on city-scale geothermal potential, underground climate change impacts, and energy equity considerations. Professor Choudhary has supervised numerous PhD students who have gone on to prominent positions at institutions including UCL, University of Cambridge, BEIS, Arup, and various international universities. Her research group includes faculty members, research associates, graduate students, and international collaborators from institutions worldwide. Her current research focuses on two parallel investigations: one on using multi-scale multidisciplinary models to address energy use questions in the built environment, and second, on quantifying uncertainties in model outcomes. Current projects include integration of food production in urban environments, analysis of underground transport systems as energy sources, large-scale integration of ground source heat pumps, and distributed energy networks.

• Urban Energy Systems
• Building Energy Modeling
• Sustainable Cities
• +۷ مورد دیگر

Morteza Haghighat Sefat is an Associate Professor at the School of Energy, Geoscience, Infrastructure and Society and the Institute for GeoEnergy Engineering at Heriot-Watt University. His research focuses on well decommissioning, advanced well completion technologies, intelligent well design, and integrated asset modeling with a particular emphasis on CO2 storage integrity and optimization under uncertainty. He teaches Drilling Engineering and Integrated Asset Modelling. His research outputs span topics such as risk-based well integrity assessment for CO2 storage, flow control device optimization in multilateral wells, and methane emissions from decommissioned petroleum wells in British Columbia. He employs hybrid optimization techniques, machine learning, and numerical simulation to address challenges in reservoir management and environmental impact assessment. Key collaborations involve institutions exploring CO2 storage applications and advanced well technologies. His work bridges theoretical models with practical field applications, emphasizing proactive optimization and sustainability in energy systems.

• Well Decommissioning
• Advanced Well Completion Technology
• Intelligent Well Design and Optimisation
• +۴ مورد دیگر

Marilena Cardu is an Associate Professor in the Department of Environmental, Land, and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. She is actively involved in teaching, research, and supervision within the fields of excavation engineering, rock blasting, tunneling, and sustainable mining. She serves as a course instructor for key programs including Civil and Environmental Engineering and Georesources and Geoenergy Engineering. Academic Rank: Associate Professor Institution: Polytechnic University of Turin Department: DIATI (Environmental, Land, and Infrastructure Engineering) Email: marilena.cardu@polito.it Her research interests center on excavation engineering and safety, with strong interdisciplinary engagement in geotechnics, environmental engineering, and mineral resource management. She specializes in rock blasting, demolition techniques, TBM (Tunnel Boring Machine) performance, and mining safety. Her work aligns with UN SDGs such as Industry and Innovation, Sustainable Cities, and Responsible Production. The recent publications reflect a strong trend in tunneling technology, rock fragmentation, blast safety, and sustainable resource development. Her work combines experimental, numerical, and field-based approaches, often applied to real-world industrial and infrastructure challenges. Scientific Projects and Responsibilities: Scientific Director for collaborative research in excavation engineering (2023–2026) Scientific Manager for gas network compliance testing (2022–2025) Lead on multiple commercial consultancy projects in rock characterization, blast design, and vibration monitoring She supervises PhD students such as Nestor David Mejia Almeida and Oveis Farzay, focusing on TBM modeling and geomechanics. She is a key member of the Geomechanics and Geotechnologies Laboratory at DIATI, contributing to both academic and applied research in underground construction and mining safety.

• Excavation Engineering
• Rock Blasting and Demolition
• Geotechnical Engineering
• +۱۲ مورد دیگر

Professor Kathryn Amos holds the Chair in GeoEnergy at the University of Adelaide, leading multidisciplinary research and education initiatives focused on subsurface energy resources in the context of net-zero emissions. Her academic affiliation is with the School of Physics, Chemistry and Earth Sciences within the Faculty of Sciences, Engineering and Technology. Previously, she served as Head of the Australian School of Petroleum and Energy Resources (2020-2022) and Associate Dean (Future Students and Student Experience) (2018-2019). Her research centers on clastic sedimentology, examining sediment transport and deposition across modern environments and the rock record, with applications in ancient depositional systems and engagement with industry and government stakeholders. Current projects, in collaboration with Dr. Rachelle Kernen, investigate salt-sediment interactions in South Australian basins, particularly the Flinders Ranges, which serve as critical analogues for subsurface energy applications and Snowball Earth glaciation studies. Recent publications highlight her expertise in geological storage of CO2 and hydrogen, salt basin dynamics, and Neoproterozoic stratigraphy. She has secured over $13 million AUD in grants for geological storage research. Professor Amos is eligible to supervise Masters and PhD students in sedimentology and geoenergy-related fields.

• Clastic Sedimentology
• Subsurface Energy Resources
• Salt Tectonics
• +۸ مورد دیگر

Dario Viberti is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He is a member of the Interdepartmental Center Ec-L - Energy Center Lab and actively contributes to the Master's and Continuing Education School. He serves as Coordinator for both Master’s levels I and II of the Natural Resources Development and Storage program and participates in doctoral colleges for Civil and Environmental Engineering and Materials, Sustainable Processes, and Systems for the Transition. His research focuses on flow in underground porous media , geoenergy , and underground energy storage , particularly hydrogen and CO₂ storage. His expertise spans numerical modeling, reservoir engineering, fluid mechanics, well testing, and energy transition systems. He is involved in commercial research projects with ENI Corporate University and leads initiatives related to sustainable energy applications. His recent publications reveal a strong trend in underground hydrogen storage , biogeochemical modeling , pore-scale simulation , and PVT analysis of gas mixtures . These works emphasize safety, efficiency, and long-term integrity of subsurface storage systems using advanced computational and experimental methods. Scientific Manager, Underground CO2 Storage Project (2022) Scientific Manager, Reservoir Modeling Project (2022) Coordinator, Master’s Program in Natural Resources Development and Storage Member, SEASTAR Competence Center Committee (2020–2025) He mentors several PhD students, including Michel Tawil, Marialuna Loffredo, Alice Raeli, and Alice Massimiani, supporting research in microfluidics, Lattice Boltzmann simulations, and thermodynamic characterization. He teaches courses such as Numerical Modeling for Multiphase Flow , Underground Energy Storage , and Well Logging and Testing across multiple degree programs. His work aligns with UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action).

• Flow in underground porous media
• Geoenergy
• Underground energy storage
• +۱۲ مورد دیگر

Pezhman Ahmadi is a Research Fellow at the University of Heriot-Watt's School of Energy, Geoscience, Infrastructure and Society within the Institute for GeoEnergy Engineering. His work focuses on thermophysical properties of CO₂-rich systems, phase behavior modeling, and carbon capture and storage (CCUS) technologies. He contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Research interests include impurity effects on CO₂ systems, high-pressure fluid properties, and experimental validations of thermodynamic models. Recent projects involve bubble point analysis in CO₂-H₂ mixtures, viscosity measurements of hydrogen-methane blends, and vapor-liquid equilibrium studies in hydrocarbon systems. His work integrates both experimental data collection and computational modeling to advance CCUS applications. Awarded the Adrian Todd Golden Key Student Fund in 2016, Ahmadi collaborates on industry projects such as phase behavior of CO₂-volatile organic compounds and hydrogen production via waste heat valorization. He actively contributes to joint industry projects (JIPs) addressing challenges in CO₂ gas hydrate prediction, methane blends, and subsea fluid systems. Labs and teams: Affiliated with the Institute for GeoEnergy Engineering, focusing on geoenergy systems and sustainable energy solutions.

• Carbon Capture and Storage (CCUS)
• Thermophysical Properties
• Phase Behavior Modeling
• +۳ مورد دیگر

Mario Costa Sousa is a Professor in the Department of Computer Science at the University of Calgary. He holds a BSc from Catholic University of Petrópolis (1989), an MSc from Pontificia Universidade Católica do Rio de Janeiro (1994), and a PhD in Computer Science from the University of Alberta (1999). His primary research focuses on computer graphics, scientific visualization, and sketch-based modeling with applications to geoscience and reservoir engineering. He leads the illustrares research group, which develops novel visual computing paradigms for interdisciplinary challenges in science, engineering, and design. Research interests include non-photorealistic rendering, sketch-based interfaces, visualization/visual analytics, and human-data interaction. His work integrates geoscientific data with interactive modeling tools to address reservoir uncertainty and enhance decision-making in energy and environmental domains. Recent projects involve rapid prototyping of subsurface CO2 sequestration models and machine learning for drill core analysis. He teaches courses such as CPSC 591/691 Rendering (Fall 2024), CPSC 319 Data Structures (Winter 2025), and DATA 501 Data Science Capstone (Winter 2025). His research has contributed to energy innovation initiatives at the University of Calgary, focusing on geothermal energy and unconventional reservoirs. Key collaborations include work on Gaussian process-based uncertainty quantification, functional data analysis for production forecasting, and immersive VR tools for surgical training (e.g., NeuroSimVR and JackVR oil rig simulators). His publications span reservoir modeling, geological visualization, and interactive systems for spatial data exploration.

• Computer Graphics
• Scientific Visualization
• Sketch-based Modeling
• +۵ مورد دیگر

Dr. Jimmy Li is a Postdoctoral Research Fellow at the School of Mechanical and Mining Engineering, The University of Queensland, with expertise in geophysics and geomechanics for resource and geoenergy exploration. His career spans over a decade in industry roles at Halliburton Energy Services and academic research since completing his PhD in 2021. Bachelor of Petroleum Engineering (2007) from China University of Petroleum Doctor of Philosophy in Petroleum Engineering (2021) from Curtin University Dr. Li's research focuses on theoretical and experimental studies in rock mechanics and geotechnical engineering for underground mining and drilling applications. Key areas include: Machine Learning in Geoscience for tasks like CMRR and UCS prediction Rock Physics involving seismic, microseismic, and ultrasonic wave propagation Weathering in Sedimentary Rock through experiments on fluid-rock interactions Petrophysics and Formation Evaluation using core analysis and laboratory measurements Drilling Engineering in hostile environments (HPHT), geosteering, and borehole stability His recent publications highlight trends in coal geomechanics, shale permeability, CO2 sequestration modeling, and AI applications in upstream geoenergy. He has collaborated on multi-frequency sonic logging tools and established the NATA-accredited Quality Management System for rock mechanics at UQ. Dr. Li is available for supervision and has secured funding from industry partners like Origin Energy, Normet Asia Pacific, and Lihir Gold Limited for projects on coal strength, grout durability, and roadway stability. He contributes to developing machine learning methods for reducing subjectivity in mining safety assessments and optimizing drilling technologies.

• Applied Geophysics
• Geomechanics and Resources Geotechnical Engineering
• Petroleum and Reservoir Engineering
• +۵ مورد دیگر

Dr. Yiran Zhu is a Postdoctoral Research Fellow at the School of Mechanical and Mining Engineering, University of Queensland. He completed his PhD at the same institution in 2022, focusing on capillary trapping and gas-water flow in coal seam gas reservoirs. His research integrates mining engineering, energy fuels, and geomechanics to optimize resource extraction and subsurface processes. Research Interests: Dr. Zhu specializes in coal seam gas (CSG) recovery enhancement, rock mechanics, and mining technology. Key areas include: Capillary trapping dynamics in CSG reservoirs Rock mass damage prediction from blasting Coal fracturing using microwave/electric pulse technologies Horizontal borehole optimization for gas extraction AI applications in geoenergy systems Publication Trends: His recent work (2021-2025) emphasizes experimental and computational studies of coal permeability, fracture propagation, and reservoir modeling. Dominant themes include laboratory validation of CSG recovery techniques, blasting impact on mining infrastructure, and optimization of energy extraction processes. Supervision: Currently available for research student supervision. No specific grants or awards are documented in available sources.

• Coal Seam Gas
• Rock Mechanics
• Mining Engineering
• +۵ مورد دیگر

Sarah Perez is a Postdoctoral Research Associate in the GeoEnergy research group at the Lyell Centre, part of the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University. Holding a PhD in Applied Mathematics from the University of Pau in France, she specializes in developing numerical and machine learning models for geological carbon storage applications. Her research sits at the intersection of mathematical modeling, numerical simulation, and AI-driven approaches for subsurface energy systems. She develops frameworks that integrate pore-scale imaging with AI-based uncertainty quantification to improve reliability of subsurface predictions, with particular focus on fractured and reactive media. Her work bridges multiple scales to address leakage risks and subsurface integrity in carbon storage systems. Analysis of her publications reveals consistent focus on computational methods for geological applications, with increasing integration of AI techniques across her work from 2022-2025. Her research shows strong interdisciplinary connections between computational physics, machine learning, and geoscience. Beyond research, Perez actively contributes to academic community through science communication and early-career initiatives. She co-chairs the InterPore Student Awards Sub-Committee and organizes YouTube webinars on Porous Media research and AI for Net Zero, demonstrating commitment to knowledge exchange and interdisciplinary collaboration. Her professional network shows significant international collaboration, with research activities spanning multiple countries and institutions. She maintains active engagement with the scientific community through conference presentations and peer-reviewed publications in high-impact journals.

• Mathematical modelling
• Numerical simulation
• AI-driven approaches
• +۵ مورد دیگر

Professor Ahmed H. Elsheikh is a faculty member at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society, within the Institute for GeoEnergy Engineering. He holds a Professor title since 2021, previously serving as Associate (2017-2021) and Assistant Professor (2013-2017). His educational background includes a Ph.D. (2010) and MASc (2002) from McMaster University, and a BASc from Al-Azhar University (1999). Research Interests: Fluid control via AI, predictive machine learning, generative modeling, data assimilation, Bayesian uncertainty quantification, and subsurface engineering. His work addresses challenges in reservoir modeling, CO2 sequestration, seismic inversion, and geophysical data analysis. Publications span 2004-2025 with a focus on machine learning applications in energy systems, stochastic field generation, and subsurface flow modeling. Notable contributions include AI-driven seismic inversion, deep learning for reactive transport, and ensemble-based history matching. Key Achievements: Developed novel methodologies for uncertainty quantification, GAN applications in geological modeling, and real-time reservoir monitoring systems. His work contributes to UN Sustainable Development Goals related to climate action (SDG 13) and affordable clean energy (SDG 7).

• Subsurface Engineering
• Artificial Intelligence in Energy Systems
• Machine Learning Applications
• +۵ مورد دیگر

Catherine Hollis is the Chair of Carbonate Geoscience at the University of Manchester's Department of Earth and Environmental Science. She holds a BSc (Hons) in Geological Sciences from the University of Birmingham (1990) and a PhD from the University of Aberdeen (1995), focusing on burial diagenesis in limestones. Her research emphasizes carbonate sedimentology, diagenesis, and pore system evolution in carbonates. She has led major industrial consortia (e.g., PD3) and collaborated internationally with institutions in Canada, France, Germany, and Qatar. Her work addresses critical themes like fault/fracture-controlled diagenesis, large-scale dolomitization, and porosity modification in Cretaceous carbonates of the Middle East/North Africa. She has supervised 14 PhD students and currently advises 5 more. Teaching includes MSc modules in carbonate sedimentology and fluid-rock interaction. She serves as President of the International Association of Sedimentologists (since 2022) and was an Associate Editor for Sedimentology (2014–2022). Research awards: Perce Allen Award (2021), Sorby Medal (2022) Professional roles: UK REF2021 sub-panel member, Visiting Scholar at University of Bergen (2020–2022) Key projects: GeoEnergy and Energy Transition, Structural Evolution across scales Her lab focuses on carbonate pore system quantification, linking diagenetic history to reservoir behavior for hydrocarbon production, geothermal energy, and carbon sequestration.

• Carbonate diagenesis
• Fault/fracture controlled diagenesis
• Sedimentology of Carboniferous and Cretaceous systems
• +۳ 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.

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

Anne Pluymakers is an Assistant Professor at the Applied Geophysics and Petrophysics department of Delft University of Technology (TU Delft) , with prior postdoctoral experience at both TU Delft (2018-2020) and the University of Oslo (2015-2017). Her research focuses on experimental rock mechanics and thermo-hydro-mechano-chemical (THMC) fluid-rock interaction , particularly investigating how mechanical and transport properties of rocks evolve under realistic subsurface conditions. Education: Doctorate (2015) in Frictional and sealing behaviour of simulated anhydrite fault gouge , Universiteit Utrecht Master's (2010) in Earth Sciences, Universiteit Utrecht Bachelor's (2008) in Earth Sciences, Universiteit Utrecht Her recent work spans CO2 storage , wellbore integrity , and microstructural analysis using neutron/X-ray imaging, with applications to geothermal energy and subsurface energy systems . Collaborative projects include Constraining uncertainties across scales and REFLECT , focusing on geoenergy transitions. Scientific Awards: Veni grant, Netherlands Organisation for Scientific Research (NWO), 2017 She actively contributes to public engagement , including media appearances on CO2 storage beneath the North Sea and educational initiatives like the Geo-resources for the future minor program.

• Experimental Rock Mechanics
• Fluid-Rock Interaction
• Carbon Capture and Storage (CCS)
• +۳ مورد دیگر

Saeed Khajooie is a Researcher in the Teaching and Research Area Applied Structural Geology at RWTH Aachen University. His work focuses on subsurface geological systems, particularly in the context of energy storage and reservoir characterization. Research interests include: Underground hydrogen storage mechanisms Microbial activity impacts on reservoir rocks Reservoir compartmentalization analysis Geochemical-reservoir engineering integration Fluid dynamics in hydrocarbon systems Recent research trends demonstrate expertise in: Hydrogen-rock interaction studies Microbial permeability alteration Reservoir continuity evaluation Formation testing data interpretation Capillary pressure applications Fluid property modeling

• Geology
• Reservoir Engineering
• Microbial Activity in Rocks
• +۳ مورد دیگر