Koopman operator theory has proven to be a promising approach to nonlinear system
identification and global linearization. For nearly a century, there had been no efficient …

Spurred by a huge interest in the post-Shannon communication, it has recently been shown
that leveraging semantics can significantly improve the communication effectiveness across …

Recently, machine learning (ML) has shown its effectiveness in improving communication
efficiency by reinstating the semantics of bits. To understand its underlying principles, we …

Real-time remote control over wireless is an important yet challenging application in fifth-
generation and beyond due to its mission-critical nature under limited communication …

In this study, we delve into the intricacies of semantic communication-control co-design
(CoCoCo) for wireless mixed logical dynamical (MLD) systems operating under signal …

In telecommunications, information delivery is per-formed over inherently distributed
elements such as application servers, packet core network equipment, radio base stations …

This dissertation presents the development and applications of Koopman operator theory for
solving system identification and prediction problems in the domain of vehicular systems …