We study a market mechanism that sets edge prices to incentivize strateg...
We focus on the problem of uncertainty informed allocation of medical
re...
Effective investment planning decisions are crucial to ensure cyber-phys...
In this paper, we study both multi-armed and contextual bandit problems ...
A rapid transformation of current electric power and natural gas (NG)
in...
We propose a learning dynamics to model how strategic agents repeatedly ...
We study the problem of information provision by a strategic central pla...
This paper introduces a "green" routing game between multiple logistic
o...
Modal split prediction in transportation networks has the potential to
s...
Aerial images provide important situational awareness for responding to
...
We study learning dynamics induced by strategic agents who repeatedly pl...
This paper presents a modeling approach for probabilistic estimation of
...
In this paper, we address the existence and computation of competitive
e...
Error-Correcting Output Codes (ECOCs) offer a principled approach for
co...
We study learning dynamics induced by strategic agents who repeatedly pl...
In recent years, it has become crucial to improve the resilience of
elec...
Traffic Management Centers (TMCs) routinely use traffic cameras to provi...
We study learning dynamics induced by myopic travelers who repeatedly pl...
We consider an attacker-operator game for monitoring a large-scale netwo...
We consider the following problem: Does there exist a probability
distri...
Electricity distribution networks (DNs) in many regions are increasingly...
Traffic cameras are commonly deployed monitoring components in road
infr...
We study a routing game in an environment with multiple heterogeneous
in...
Infrastructure systems are increasingly facing new security threats due ...
Transportation networks are increasingly facing new security threats due...
Vehicle-to-Infrastructure (V2I) communications are increasingly supporti...