13 citations · 15 across the 6 of their papers we have counts for
6 papers
Sparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins
Tannaz Goodarzvand Chegini, Elyas Shivanian, Behzad Karimi +1
Short-horizon forecasts of atmospheric temperature are needed to support climate-aware digital-twin systems, but such forecasts must be produced where thermal observations are inco…
Equilibrium Causal Digital Twins: Validation, Transport, and Identification Limits
Faraz Dadgostari, Neda Nazemi
Digital twins are often used to predict how a system would respond to an intervention. In systems with feedback, a twin must reproduce an equilibrium counterfactual, and a twin dev…
Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States
Faraz Dadgostari, Neda Nazemi
Power grids, markets, and interacting populations, settle into feedback driven equilibria observed through unknown sensors. Our Equilibrium Causal Game (ECG) joins a game to its cy…
BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations
Henning S Mortveit, Stephen Adams, Faraz Dadgostari +2
In this paper, we present BESSIE (Behavior and Epidemic Simulator for Synthetic Information Environments), an open source, agent-based simulator for COVID-type epidemics. BESSIE us…
Early Outbreak Detection for Proactive Crisis Management Using Twitter Data: COVID-19 a Case Study in the US
Erfaneh Gharavi, Neda Nazemi, Faraz Dadgostari
During a disease outbreak, timely non-medical interventions are critical in preventing the disease from growing into an epidemic and ultimately a pandemic. However, taking quick me…
Modeling and Developing Appropriate Algorithm to Solve Generalized Probabilistic Vehicle Routing Problem
Faraz Dadgostari
This thesis introduces stochastic generalized routing problem model and proposes exact and heuristic algorithms to solve it efficiently, in a wide range of problem sizes. At first,…