Prof. Mohamed as a guest editor for Frontiers in Big Data, Research Topic on “Food-Energy-Water Nexus’ Effects on Urban Infrastructure.” Other guest editors include Professor Ziqian (Cecilia) Dong (NYIT), Professor Mukunth Natarajan (ASU), Professor Roberto Rojas-Cessa (NJIT), and Professor Guilia Pedrielli (ASU).
https://www.frontiersin.org/research-topics/14658/food-energy-water-nexus-effects-on-urban-infrastructure
In this Reserach Topic, we seek contributions from experts in several aspects of big data, analytics, and modeling in the context of FEW networks. Prospective authors are invited to submit original manuscripts on the topics including, but not limited to, the following:
– Big Data Infrastructures for FEW. This includes submissions focusing on data systems supporting understanding and evaluation of sustainability of networked FEW infrastructures under disruption. We invite contributions related to challenges and approaches to collect and process large amounts of data with specific application to the FEW networks area. Relevant contributions will need to consider challenges that are associated with data (e.g., availability and size of data) within FEW.
– Data Driven Modeling and Control of FEW systems. This includes modeling and visualization approaches for prediction, planning, and control of FEW systems. Specifically, submissions that highlight the modeling and visualization challenges arising from the coupled nature of FEW systems as well as the scale of the associated infrastructures are encouraged. In-depth reviews will also be considered.
– Data-driven FEW nexus decision making. Contributions, which delve into the implications of decision making onto the footprint associated with FEW networks, will be considered. In fact, it has become increasingly apparent that decisions made by logistics businesses, energy and water managers impact the food system (e.g., concentration of goods production in a specific area, supply chain disruptions, consumption patterns) and have an important impact on the sustainability of the FEW systems. Models that can help evaluate and predict the effect of policies and environmental disruptions on FEW systems are needed.
– FEW Case Studies. Contributions focusing on specific case studies at different scales (state, country and global) focusing on food, energy, water nexus are welcome.