There is no doubt that big data are now rapidly expanding in all science and engineering
domains. While the potential of these massive data is undoubtedly significant, fully making …

Today, an enormous amount of data is being continuously generated in all walks of life by all
kinds of devices and systems every day. A significant portion of such data is being captured …

Conventional wireless security assumes wireless communications are legitimate, and aims
to protect them against malicious eavesdropping and jamming attacks. However, emerging …

In the past decade, the smart phone evolution has accelerated the proliferation of the mobile
Internet and spurred a new wave of mobile applications, leading to an unprecedented …

Spacecraft health monitoring and failure prevention are major issues in space operations. In
recent years, machine learning techniques have received an increasing interest in many …

Spatiotemporal signal reconstruction from samples randomly gathered in a multidimensional
space with uncertainty is a crucial problem for a variety of applications. Such a problem …

An active inference problem of detecting anomalies among heterogeneous processes is
considered. At each time, a subset of processes can be probed. The objective is to design a …

Detection of anomalies among a large number of processes is a fundamental task that has
been studied in multiple research areas, with diverse applications spanning from spectrum …

Integrated sensing and communication (ISAC) has recently been considered as a promising
approach to save spectrum resources and reduce hardware cost. Meanwhile, as information …

The unsupervised detection of anomalies in time series data has important applications in
user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fact …