Horacio González-Vélez

Prof. Dr. Horacio González-Vélez

National College of Ireland, Dublin, Ireland
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 November 2010 in Software: Practice and Experience
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Journal Article
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Horacio González-VélezHoracio González-Vélez
Horacio González-Vélez
MLMario Leyton
Mario Leyton

1 May 2021 in Big Data Research
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Journal Article
Open access
FLFatima Leal
Fatima Leal
ACAdriana E. Chis
Adriana E. Chis
SCSimon Caton
Simon Caton
Horacio González-VélezHoracio González-Vélez
Horacio González-Vélez
JGJuan Miguel Garcia-Gomez
Juan Miguel Garcia-Gomez
MMMariola Mier
Mariola Mier

1 September 2007 in Applied Intelligence
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Journal Article
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Horacio González-VélezHoracio González-Vélez
Horacio González-Vélez
MMMariola Mier
Mariola Mier
Margarida Julià-SapéMargarida Julià-Sapé
Margarida Julià-Sapé
TATheodoros N. Arvanitis
Theodoros N. Arvanitis
JGJuan Miguel Garcia-Gomez
Juan Miguel Garcia-Gomez
MLMagí Lluch-Ariet
Magí Lluch-Ariet

31 January 2020 in Sensors
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Journal Article
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LHLiviu-Adrian Hîrţan
Liviu-Adrian Hîrţan
CDCiprian Dobre
Ciprian Dobre
Horacio González-VélezHoracio González-Vélez
Horacio González-Vélez
A disruptive technology often used in finance, Internet of Things (IoT) and healthcare, blockchain can reach consensus within a decentralised network—potentially composed of large amounts of unreliable nodes—and to permanently and irreversibly store data in a tamper-proof manner. In this paper, we present a reputation system for Intelligent Transportation Systems (ITS). It considers the users interested in traffic information as the main actors of the architecture. They securely share their data which are collectively validated by other users. Users can choose to employ either such crowd-sourced validated data or data generated by the system to travel between two locations. The data saved is reliable, based on the providers’ reputation and cannot be modified. We present results with a simulation for three cities: San Francisco, Rome and Beijing. We have demonstrated the impact of malicious attacks as the average speed decreased if erroneous information was stored in the blockchain as an implemented routing algorithm guides the honest cars on other free routes, and thus crowds other intersections.

1 January 2019 in Procedia Computer Science
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Journal Article
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Apostolos XenakisApostolos Xenakis
Apostolos Xenakis
AKAnthony Karageorgos
Anthony Karageorgos
ELEfthimios Lallas
Efthimios Lallas
ACAdriana E. Chis
Adriana E. Chis
Horacio González-VélezHoracio González-Vélez
Horacio González-Vélez

1 May 2009 in Journal of the Association for Information Systems
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UEUniversity of Edinburgh
University of Edinburgh
JUJenny Ure
Jenny Ure
RPRob Procter
Rob Procter
UMUniversity of Manchester
University of Manchester
YLYuwei Lin
Yuwei Lin
KHKate Ho
Kate Ho
We explore some recurring socio-technical problems encountered in the development of infrastructure for sharing and re-using data across sites and social scales for eHealth research. We link these problems to contradictions between underlying assumptions about data as a commodity whose reuse is not compromised when it is extracted from the context in which it has been captured, and the reality of data as entangled with, and constituted through, local practice. To illustrate these problems, we draw on the experiences of a number of HealthGrid projects developing infrastructures for data sharing and reuse, and trace the strategies that have evolved to address them. These experiences problematize the “one size fits all” model initially adopted by HealthGrids, and highlight the need for design and development strategies that are able to engage with local needs and thereby ensure that the technical infrastructure is properly aligned with the human infrastructure it is supposed to support.