activity
20182026
most citedWhen Computing follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum

3 citations · 3 across the 14 of their papers we have counts for

collaborators

16 papers

cs.DC20243 cited

When Computing follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum

Zeinab Nezami, Emmanouil Chaniotakis, Evangelos Pournaras

The transformation of smart mobility is unprecedented--Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting…

cs.MA2023

Large-scale Package Deliveries with Unmanned Aerial Vehicles using Collective Learning

Arun Narayanan, Evangelos Pournaras, Pedro H. J. Nardelli

Unmanned aerial vehicles (UAVs) have significant practical advantages for delivering packages, and many logistics companies have begun deploying UAVs for commercial package deliver…

cs.HC2021

Crowd Sensing and Living Lab Outdoor Experimentation Made Easy

Evangelos Pournaras, Atif Nabi Ghulam, Renato Kunz +1

Living lab outdoor experimentation using pervasive computing provides new opportunities: higher realism, external validity and socio-spatio-temporal observations in large scale. Ho…

cs.DC2020

Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response

Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli +11

In this paper, we propose a global digital platform to avoid and combat epidemics by providing relevant real-time information to support selective lockdowns. It leverages the perva…

cs.SE2020

Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning

Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou +4

Engineering collective adaptive systems (CAS) with learning capabilities is a challenging task due to their multi-dimensional and complex design space. Data-driven approaches for C…

cs.SI2020

Mobile Link Prediction: Automated Creation and Crowd-sourced Validation of Knowledge Graphs

Mark Christopher Ballandies, Evangelos Pournaras

Building trustworthy knowledge graphs for cyber-physical social systems (CPSS) is a challenge. In particular, current approaches relying on human experts have limited scalability,…