Stanford Doerr School of Sustainability
Showing 1-14 of 14 Results
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Mareldi Ahumada Paras
Postdoctoral Scholar, Energy Resources Engineering
BioPostdoctoral scholar working with the Climate and Energy Policy Program at the intersection of climate policy, energy resilience and decarbonization. My graduate research focused on power system resilience and planning during extreme events. Previously, I worked at General Electric Company as an Edison and operability engineer on power turbine design and remote diagnostics of existing fleet.
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Matteo Frigo
Postdoctoral Scholar, Energy Resources Engineering
BioMatteo Frigo has been a postdoctoral researcher in the Department of Energy Science and Engineering at Stanford University since August 2023.
He received his Bachelor's and Master's degrees in civil engineering from the University of Padua in 2014 and 2017, respectively.
In 2020, he received his Ph.D. degree from the University of Padua, with a major in Numerical Analysis.
During his Ph.D., he spent a period as a Visiting Researcher Student at Lawrence Livermore National Laboratory (LLNL), California, USA.
His leading scientific interests include mathematical and numerical modeling of multiphysics problems mainly related to poromechanics and fracture mechanics.
His research mainly focuses on studying numerical linear algebra problems and preconditioning techniques.
He has experience in implementing high-performance parallel codes on supercomputers with distributed memory and GPU accelerators. -
Qi Hu
Postdoctoral Scholar, Energy Science and Engineering
BioI am a postdoctoral scholar collaborating with Tapan Mukerji on developing innovative workflows for monitoring subsurface CO2 sequestration. My research primarily involves integrating advanced seismic inversion techniques, such as full-waveform inversion, with rock physics and fluid dynamics to glean insights into subsurface structures and behaviors. Additionally, I am intrigued by the potential of distributed acoustic sensing and machine learning algorithms in various topics related to energy transition.
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Aqsa Naeem
Postdoctoral Scholar, Energy Resources Engineering
Current Research and Scholarly InterestsEnergy System Modeling and Optimization
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Suihong Song
Postdoctoral Scholar, Energy Resources Engineering
BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.
