-
, optimization, or simulation-based analysis • Building and scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets • Enhancing and deploying computational
-
scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets Enhancing and deploying computational platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc
-
on a large-scale, multi-sectoral problem. Specific project objectives include: 1. Forecasting species’ distributions and relative abundances under multiple socio-climatic scenarios through 2100, while
-
, gaining valuable experience working on a large-scale, multi-sectoral problem. Specific project objectives include: Forecasting species’ distributions and relative abundances under multiple socio-climatic
-
, or modeling multi-layer networks, and active participation in research projects and leading a group of highly motivated Ph.D. students is desired. Urban Infrastructure, Technology Systems, Urban Analytics