Area of research
Transportation · Statistical and Nonlinear Physics
Research interest
Research interests include Computer science, Modularity (biology), TRIPS architecture, Pooling, Service (business), and Heuristics.
Foundation models for the electric power grid
METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles
Graph neural network inspired algorithm for unsupervised network community detection
Vulnerability of Transportation Networks: The New York City Subway System under Simultaneous Disruptive Events
Revisiting Street Intersections Using Slot-Based Systems
Predicting vehicular emissions in high spatial resolution using pervasively measured transportation data and microscopic emissions model
Quantifying the benefits of vehicle pooling with shareability networks
General optimization technique for high-quality community detection in complex networks