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About

About

Victor Francisco Fonte graduated in Systems and Informatics Engineering, has a M.Sc. and a Ph.D. in Computer Science in Distributed Systems by the University of Minho.

His current research interests are focused on autonomous and pair-wise operation in distributed systems with application to large-scale, loosely-coupled and autonomous operated environments. His interests encompass also eventual consistent models and techniques for multi-datacenter key-value stores, and highly scalable transactional multi-tier platforms. His research has also been focused on replication, autonomous identity management and causality tracking. He supervises several M.Sc. and Ph.D. projects, and lectures in Master programmes at the University of Minho on Distributed Systems and Information Security topics.

He collaborates in a number of FCT and EU-funded research projects, has been serving as an external scientific coordinator or consultant in several QREN-funded research projects, co-founded and supervised the Linux Research Group (1995-2008), and the Mobile Computing Interest Group (2010-12) at University of Minho, and has been actively involved in several open-source software and research projects.

Interest
Topics
Details

Details

  • Name

    Vítor Francisco Fonte
  • Role

    Senior Researcher
  • Since

    01st November 2011
Publications

2024

A worldwide overview on the information security posture of online public services

Authors
Silva, JM; Ribeiro, D; Ramos, LFM; Fonte, V;

Publication
57th Hawaii International Conference on System Sciences, HICSS 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024

Abstract

2021

Towards a bottom-up approach to inclusive digital identity systems

Authors
Silva, JMC; Fonte, V; Sousa, A;

Publication
ICEGOV 2021: 14th International Conference on Theory and Practice of Electronic Governance, Athens, Greece, October 6 - 8, 2021

Abstract

2020

EAGP: An Energy-Aware Gossip Protocol for Wireless Sensor Networks

Authors
Ferreira, BC; Fonte, V; Silva, JMC;

Publication
2020 28TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM)

Abstract
In Wireless Sensor Networks (WSN), typically composed of nodes with resource constraints, leveraging efficient processes is crucial to enhance the network lifetime and, consequently, the sustainability in ultra-dense and heterogeneous environments, such as smart cities. Particularly, balancing the energy required to transport data efficiently across such dynamic environments poses significant challenges to routing protocol design and operation, being the trade-off of reducing data redundancy while achieving an acceptable delivery rate a fundamental research topic. In this way, this work proposes a new energy-aware epidemic protocol that uses the current state of the network energy to create a dynamic distribution topology by self-adjusting each node forwarding behavior as eager or lazy according to the local residual battery. Simulated evaluations demonstrate its efficiency in energy consumption, delivery rate, and reduced computational burden when compared with classical gossip protocols as well as with a directional protocol.

2020

EAGP: An Energy-Aware Gossip Protocol for Wireless Sensor Networks

Authors
Ferreira, BC; Fonte, V; Silva, JMC;

Publication
CoRR

Abstract

2020

EAGP: An Energy-Aware Gossip Protocol for Wireless Sensor Networks

Authors
Ferreira, BC; Fonte, V; Silva, JMC;

Publication
28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020, Split, Croatia, September 17-19, 2020

Abstract

Supervised
thesis

2022

Individual Choices on Safe, Secure, and Comfortable Routes: A Multi-Criteria Analysis and Classification Approach

Author
Liz Lopes Almeida Gomes

Institution
UP-FEUP

2020

Safety in Pervasive Games

Author
Daniel Pimentel Nunes

Institution
UP-FEUP

2020

Advanced 3D Computer Vision Approach to Clinical Motion Quantification for Neurological Diseases

Author
Diogo Peixoto Pereira

Institution
UP-FEUP

2019

Subgraph Patterns in Multiplex Networks

Author
André Couto Meira

Institution
UP-FCUP

2019

Deep Learning techniques in Object Recognition

Author
Nuno Miguel Santos Marques

Institution
UP-FCUP