This paper is based on a National Science Foundation funded grant to work on investigating supply chain strategies that would minimize the impact on underserved populations during pandemic
We demonstrated the efficacy of our approach with theoretical analysis and an evaluation using real CCS infrastructure data.
Offers insights on how a multi-system framework can improve emerging technology adoption, reduce GHG emissions, and/or lower individual costs.
A Stochastic Optimization scheme balancing food, energy, and water.
Looking for ways to integrate Community Solar for Low-Income Households in the Competitive Market
Winter Storm Uri and the lived experiences of Texas low-income communities
Creates a COVID-19 supply chain for the city of Houston
How distributed energy resources affect the grid solved with decomposition techniques.
How energy efficiency and solar can reduce the energy burdens of low income communities.
This EAGER award supports fundamental research in technology-enabled supply chain design to effectively deliver therapeutics to at risk populations in an urban setting.