The profound impact of the coronavirus COVID-has tragically affected the world, including
undergraduate and graduate university education. These impacts will be very long lasting …

Abstract Cyber-Physical Systems (CPS) are interconnected devices, reactive and dynamic to
sensed external and internal triggers. The H2020 CERBERO EU Project is developing a …

The introduction of deep learning algorithms, such as Convolutional Neural Networks
(CNNs) in many near-sensor embedded systems, opens new challenges in terms of energy …

The hardware complexity of modern integrated circuits keeps increasing at a steady pace.
Heterogeneous Multi-Processor Systems-on-Chips (MPSoCs) integrate general-purpose …

Design space exploration (DSE) is a key activity in embedded system design methodologies
and can be supported by well-defined models of computation (MoCs) and predictable …

Threat modeling and simulation (TMS) was aimed at dynamically capturing the features of
attacks, which is a challenging job in complex Industrial Internet of Things (IIoT) control …

Heterogeneous computing is widely used at all levels of computing. However, heterogeneity
presents challenges. This article considers research issues in heterogeneous cyberphysical …

In embedded and cyber-physical systems, the design of a desired functionality under
constraints increasingly requires parallel execution of a set of tasks on a heterogeneous …

Efficient usage of heterogeneous computing architectures requires distribution of the
workload on available processing elements. Traditionally, the mapping is based on …

Understanding and predicting response time is a major concern in most systems. However,
the complexity of heterogeneous Multiprocessor Systems-on-Chipss (MPSoCss) makes it …