Stanford Doerr School of Sustainability
Showing 1-3 of 3 Results
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Sahar El Abbadi
Physical Science Research Scientist, Energy Science & Engineering
BioSahar El Abbadi was a post-doctoral researcher in Energy Resources Engineering from Jan 2022 - Aug 2023. Her research focuses on developing circular economies by transforming waste methane into useful products. Methane, a potent greenhouse gas, is emitted atmosphere by industrial sources (wastewater treatment plants, landfill, fossil fuel extraction) because it is uneconomical to capture, clean and use. However, methane-consuming bacteria can transform this harmful pollutant into protein-rich cells and biodegradable polymers. Sahar's PhD research evaluated the economic potential of using these bacteria to reduce methane emissions while providing a new source of high-quality protein that can be used as a feed for agriculture and aquaculture. Sahar continues to expand on this work in considering the path to industrialization in both the United States and Bangladesh using methane produced at landfills. Sahar completed her Bachelor's degree at UC Berkeley (2012) in Environmental Engineering Science, and her MS (2015) and PhD (2021) in Civil & Environmental Engineering at Stanford.
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Lama El Halabi
Ph.D. Student in Energy Science and Engineering, admitted Spring 2022
Masters Student in Energy Resources Engineering, admitted Autumn 2020BioI am a PhD candidate in the Department of Energy Sciences and Engineering and a Data Science Scholar, advised by Adam Brandt. My research is driven by the crucial role renewable energy must play in sustainably meeting our energy demands. The major challenge in transitioning to renewable energy lies in the intermittent and inherently uncertain nature of these energy sources. My current research focuses on predicting energy outputs from these stochastically behaving sources, with an emphasis on uncertainty quantification and volatility. Specifically, I employ computer vision models and statistical techniques to develop short-term probabilistic photovoltaic (PV) power forecasts from sky images and time-series PV data. I hold an MS in Energy Resources Engineering from Stanford and a BE in Mechanical Engineering and a BS in Physics from the American University of Beirut. Previously, my research involved using machine learning to model water resources.
