Europe's digital transformation of the economy and society is one of the priorities of the
current Commission and is framed by the European strategy for data. This strategy aims at …

Resource management for geo-distributed infrastructures is challenging due to the scarcity
and non-uniformity of edge resources, as well as the high client mobility and workload …

With the proliferation of high bandwidth cameras and AR/VR devices, and their increasing
use in situation awareness applications, edge computing is gaining prominence to meet the …

Vehicle re-identification (Re-ID) research has intensified as numerous advancements have
been made along with the rapid development of person Re-ID. In this paper, we tackle the …

Although machine learning (ML)-based models are increasingly being used by cloud-based
data-driven services, two key problems exist when used at the edge. First, the size and …

Edge-based and autonomous, deep learning computer vision applications, such as those
used in surveillance or traffic management, must be assuredly correct and performant …

Multi-Access Edge Computing (MEC) provides high network bandwidth and ultra-low
latency response time but also inherits the security vulnerabilities of cloud computing to …

Serverless computing is changing the way in which we structure and deploy computations in
Internet-scale edge systems. This paper presents Capybara, a new scalable and …

I would like to thank the members of my dissertation committee for taking their valuable time
to be on my committee and providing feedback that has significantly improved my …

Edge computing is an attractive avenue to support low-latency applications including those
that leverage deep learning (DL)-based model inferencing. Due to constraints on compute …