Fabio Ruini

Fabio Ruini
Barilla G. & R. Fratelli S.p.A. · Department of Information Technology

Ph.D.

About

21
Publications
5,475
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
228
Citations
Introduction
Graduated (BSc and MSc) in Economics and Management of Networks and Innovation from the University of Modena and Reggio Emilia (Italy), Fabio Ruini has obtained a PhD in Artificial Intelligence from Plymouth University (UK) thanks to a studentship funded by the US Air Force Office of Scientific Research. His doctoral thesis focused on the design of autonomous controllers for fixed-wing drones engaged in security missions. Fabio has been active for several years in the world of technologies for security, law enforcement, intelligence analysis, crisis management and critical infrastructure protection. Since 2018 he is working with the Coesia Group, where he covers the role of (corporate) cyber security specialist. In this position, he deals with incident response and forensics investigation
Additional affiliations
April 2012 - May 2015
Zanasi & Partners
Position
  • Researcher and Consultant
June 2011 - April 2012
University of Plymouth
Position
  • PostDoc Position
Education
October 2007 - June 2011
University of Plymouth
Field of study
  • Artificial Intelligence
September 2004 - April 2007
Università degli Studi di Modena e Reggio Emilia
Field of study
  • Economics and Management of Networks and Innovation
September 2001 - September 2004
Università degli Studi di Modena e Reggio Emilia
Field of study
  • Economics, Networks, Information

Publications

Publications (21)
Article
Full-text available
Cognitive biases are unconscious deviations in judgement - rooted in the very nature of the human mind – that represent a common source of failure in intelligence analysis. This article investigates the relationship between cognitive biases and big data analytics in the intelligence domain. Big data analytics tools can assist analysts with the disc...
Article
Full-text available
Among the various initiatives directed at helping the intelligence community tackling today's security challenges, the EU FP7 research project LEILA (Law Enforcement and Intelligence Learning Applications) focuses on 'serious games' for improving the quality of intelligence analysts' training. LEILA investigates innovative methodologies for the dev...
Conference Paper
Full-text available
The development of mobile devices as well as social media platforms recently lead to the necessity of monitoring the latter during crisis and emergency situations. Paradoxically, the huge amount of information available through these new sources may lead to information gaps, within the Public Safety Organization operators’ awareness. We describe so...
Technical Report
Full-text available
The research undertaken by the Countering WEEE Illegal Trade (CWIT) project found that in Europe, only 35% (3.3 million tons) of all the e-waste discarded in 2012, ended up in the officially reported amounts of collection and recycling systems. The other 65% (6.15 million tons) was either: • exported (1.5 million tons), • recycled under non-complia...
Conference Paper
Full-text available
Short-Term Memory (STM) is a crucial weapon in humans’ cognitive arsenal as it allows them to avoid a purely sensory-motor existence. Many theoretical models have been proposed over the years attempting to capture the essential mechanisms of STM. Amongst these, one of the most prominent is the “Multi-Store Model” proposed by Atkinson and Shiffrin [...
Conference Paper
Full-text available
The success of swarm behaviors often depends on the range at which robots can communicate and the speed at which they change their behavior. Challenges arise when the communication range is too small with respect to the dynamics of the robot, preventing interactions from lasting long enough to achieve coherent swarming. To alleviate this dependency...
Technical Report
Full-text available
This project has focused on the design of distributed autonomous controllers for collective behavior of Micro-unmanned Aerial Vehicles (MAVs). Two alternative approaches to this topic are introduced: one based upon the Evolutionary Robotics (ER) paradigm, the other one upon flocking principles. Three computer simulators have been developed in order...
Thesis
Full-text available
The work presented herein focuses on the design of distributed autonomous controllers for collective behaviour of Micro-unmanned Aerial Vehicles (MAVs). Two alternative approaches to this topic are introduced: one based upon the Evolutionary Robotics (ER) paradigm, the other one upon flocking principles. Three computer simulators have been develop...
Conference Paper
Full-text available
The work presented herein describes an application of Evolutionary Robotics controller design methodologies to the domain of Micro-unmanned Aerial Vehicles (MAVs). The aim of this paper is to extend and validate preliminary results obtained through a simplified 2D simulator, to a more realistic 3D model. After a technical introduction of the newly...
Chapter
Full-text available
We introduce the distinction between a strategic (or motivational) level of behaviour, where different motivations compete with each other for the control of the behaviour of the organism, and a tactical (or cognitive) level, where the organism executes the activities aimed at reaching the goal decided at the strategic level. To illustrate and oper...
Conference Paper
Full-text available
The work presented herein aims to provide a quantitative measure of the impact deriving from the adoption of an incremental approach to evolution within the context of Evolutionary Robotics. Notwithstanding the large amount of published researches relying on incremental evolution, little quantitative analysis have been performed so far to provide t...
Article
The work presented in this article focuses on the use of embodied neural networks--developed through Evolutionary Robotics and Multi-Agent Systems methodologies--as autonomous distributed controllers for Micro-unmanned Aerial Vehicle (MAV) teams. The main aim of the research is to extend the range of domains that could be successfully tackled by th...
Conference Paper
Full-text available
The work presented here focuses on the use of embodied neural network controllers for MAV (micro-unmanned aerial vehicles) teams. The computer model we have built aims to demonstrate how autonomous controllers for groups of flying robots can be successfully developed through simulations based on multi-agent systems and evolutionary robotics methodo...
Conference Paper
Full-text available
Il presente lavoro descrive alcuni risultati preliminari ottenuti dagli autori nell'estensione di un modello simulativo da loro precedentemente sviluppato (Ruini, Cangelosi & Zetule, 2009) (Ruini & Cangelosi, 2009). Il modello in questione e' mirato all'evoluzione di controller autonomi, basati su reti neurali, per squadre di MAVs (Micro-unmanned A...
Conference Paper
Full-text available
Behaviour has two levels, which we will call strategic and tactical. At the strategic level the organism has to choose which particular activity to pursue at any given time (e.g., looking for food, finding a sexual partner, escaping from dangers, sleeping). At the tactical level it must implement the particular sequence of actions that makes it pos...
Conference Paper
Full-text available
This article focuses on the use of multi-agent systems for modelling of micro-unmanned aerial vehicles (MAVs) in a distributed control task. The task regards a search and destroy scenario in the context of security and urban counter-terrorism. In the simulations developed, a swarm composed of four autonomous flying robots, driven by an embodied neu...
Article
This report focuses on the use of Multi-Agent Systems for modelling of Micro-unmanned Aerial Vehicles (MAVs) in a distributed control task. The task regards a search scenario in the context of security and urban counter-terrorism. In the simulation developed, a swarm composed by four autonomous MAVs, driven by a neural network controller, has to ap...

Network

Cited By