This article is concerned with the estimation problem of Toolface for dynamic point-the-bit
rotary steerable drilling tool systems. First, considering the unknown frequency and …

This paper addresses the limitations of standard uncertainty models, eg, robust (norm-
bounded) and stochastic (one fixed distribution, eg, Gaussian), and proposes to model …

We study control of constrained linear systems when faced with only partial statistical
information about the disturbance processes affecting the system dynamics and the sensor …

The proliferation of mobile phones in low-and middle-income countries has suddenly and
dramatically increased the extent to which the world's poorest and most vulnerable …

We study stochastic dynamical systems in settings where only partial statistical information
about the noise is available, eg, in the form of a limited number of noise realizations. Such …

This letter focuses on the problem of traffic state estimation for highway networks with
junctions in the form of on-and off-ramps while maintaining differential privacy of traffic data …

This letter proposes an algorithmic method to verify differential privacy for estimation
mechanisms with performance guarantees. Differential privacy makes it hard to distinguish …

Differential privacy considers datasets differing in one record. In many scenarios, it makes
sense to protect a different property about their dataset, and all one has to do is change the …

The objective of this thesis is to make it easier to understand, use, and deploy strong
anonymization practices. We make progress towards this goal in three ways. First, we make …

In today's interconnected world, decision-making systems face significant challenges due to
inherent uncertainties. These systems range from networks of autonomous vehicles …