Climate Change Impact on Networked Socio-Technological Systems: Learning and Control
|Interdisciplinary Areas:||Data and Engineering Applications, Autonomous and Connected Systems, Smart City, Infrastructure, Transportation, Power, Energy, and the Environment, Security and Privacy, Human-Machine/Computer Interaction, Human Factors, Human-Centered Design
As the world shifts to being more interconnected, the effects of climate change will be compounded by the inequities in resources, education, and healthcare. For example, as EVs become ubiquitous in combating climate change, equitable access to EV charging will impact social mobility and access to resources such as education and healthcare in socio-economically vulnerable populations. Another example is the disproportionate social and geographical impacts of extreme weather events that are expected to become more frequent due to climate change. In fact, such extreme events may further compound barriers to accessing the aforementioned resources and services. In order to combat these challenges, new tools and approaches that take an integrated view of these multifaceted issues are essential. This project will focus on developing models, metrics, and learning-based algorithms that leverage cross-domain data from climate models, infrastructure network physics, and social dynamics to mitigate the impacts of climate change on infrastructure access, equity, and operation
- Programming experience (Python, Matlab, etc.)
- Research experience and publication record in at least one of the relevant domains (AI/ML, controls, climate science, optimization, infrastructure, health equity, etc.)
- Data processing and visualization
- Machine learning algorithm design and/or implementation
- Mathematical modeling and analysis
- Network modeling
- Climate/equity models and impacts
- Large-scale optimization
Under-represented and women candidates are highly encouraged to apply.
Sivaranjani Seetharaman (she/her/hers), firstname.lastname@example.org, School of Industrial Engineering, https://sivaranjanis.com/
Philip E. Paré (he/him/his), email@example.com, Elmore Family School of Electrical and Computer Engineering, https://sites.google.com/view/philpare
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