Ricardo Silva Peres

Ricardo Silva Peres
Universidade NOVA de Lisboa | NOVA · Department of Electrical Engineering (DEE)

PhD in Electrical and Computer Engineering

About

27
Publications
11,523
Reads
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373
Citations
Introduction
Current research interests include Predictive Manufacturing Systems and Industrial AI, specifically the intersection between Cyber-Physical Systems, Machine Learning and Multi-Agent Systems. Over the last few years I've been involved in several National and European research projects focused on using these technologies to make real manufacturing systems more flexible, efficient and agile.
Additional affiliations
March 2020 - present
Universidade NOVA de Lisboa
Position
  • Professor
Description
  • Courses: Robotic Systems and Computer Integrated Manufacturing; Intelligent Supervision; Distributed Manufacturing Systems
September 2014 - December 2019
Universidade NOVA de Lisboa
Position
  • Invited Assistant
February 2014 - present
Institute for the Development of New Technologies
Position
  • Researcher
Description
  • Research and development (R&D) of intelligent, innovative manufacturing solutions focused on Cyber-Physical Systems and Predictive Data Analytics
Education
February 2016 - December 2019
Universidade NOVA de Lisboa
Field of study
  • Predictive Manufacturing Systems
September 2009 - September 2015
Universidade NOVA de Lisboa
Field of study
  • Electrical and Computer Engineering

Publications

Publications (27)
Conference Paper
Full-text available
With the emergence of the Industry 4.0 concept, or the fourth industrial revolution, the industry is bearing witness to the appearance of more and more complex systems, often requiring the integration of various new heterogeneous, modular and intelligent elements with pre-existing legacy devices. This challenge of interoperability is one of the mai...
Article
Full-text available
The manufacturing industry represents a data rich environment, in which larger and larger volumes of data are constantly being generated by its processes. However, only a relatively small portion of it is actually taken advantage of by manufacturers. As such, the proposed Intelligent Data Analysis and Real-Time Supervision (IDARTS) framework presen...
Article
Full-text available
Product dimensional variability is a crucial factor in the quality control of complex multistage manufacturing processes, where undetected defects can easily be propagated downstream. The recent advances in information technologies and consequently the increased volume of data that has become readily available provide an excellent opportunity for t...
Article
Full-text available
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are becoming more and more dynamic, connected but also inherently more complex, with additional inter-dependencies, uncertainties and large volumes of data being generated. Recent advances in Industrial Artificial Intelligence have showcased the potential of th...
Article
Full-text available
The technological advances brought forth by the Industry 4.0 paradigm have renewed the disruptive potential of artificial intelligence in the manufacturing sector, building the data-driven era on top of concepts such as Cyber–Physical Systems and the Internet of Things. However, data availability remains a major challenge for the success of these s...
Article
The heterogeneity of the components of a Cyber-Physical Production System in addition to the high decentralization and autonomy required in Industry 4.0, introduces new levels of engineering complexity and dynamism that classical reductionists approaches are not able to solve. Within this context, novel solutions that rely on complexity sciences se...
Conference Paper
Full-text available
Modern ICT supply chains are complex, multidimensional and heterogeneous by nature, encompassing varied technologies, actors and interconnected resources. This makes it so that cybersecurity has become a major concern for such ecosystems, particularly given the tremendous velocity cybersecurity threats evolve requiring continuous monitoring, assess...
Conference Paper
Full-text available
The advent of Industry 4.0 has made it crucial to improve the accessibility of higher education and to ensure that the future generation of engineers is able to acquire interdisci-plinary competences to face the challenges of the data-driven era, including hands-on experience with real scenarios. We present an approach for teaching Cyber-Physical P...
Preprint
Full-text available
div>The advent of Industry 4.0 has shown the tremendous transformative potential of combining artificial intelligence, cyber-physical systems and Internet of Things concepts in industrial settings. Despite this, data availability is still a major roadblock for the successful adoption of data-driven solutions, particularly concerning deep learning a...
Research Proposal
Full-text available
t is our pleasure to invite you to participate in the 7th International Summer School on Industrial Agents: Embedded Intelligence within the Edge and Fog Computing, organized by UNINOVA - Center of Technology and Systems (CTS), which will take place online, on 21-25th of June 2021. The Summer School is technically co-sponsored by RICS - Robotics an...
Article
Full-text available
The emergence of the Internet of Things concept has provided a great vision for the technological future, intending to enable the extraction and comprehension of information from the environment around us, making use of the interaction and cooperation between several technological devices. The example of Smart Homes, in particular, aims to integrat...
Article
Full-text available
The advent of Industry 4.0 has shown the tremendous transformative potential of combining artificial intelligence, cyber-physical systems and Internet of Things concepts in industrial settings. Despite this, data availability is still a major roadblock for the successful adoption of data-driven solutions, particularly concerning deep learning appro...
Article
Full-text available
Investment in technological research is imperative to stimulate the development of sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and sensor networks, robotics, artificial intelligence, big data, cloud computing, etc. foster the transition towards the Agriculture 4.0 era. This fourth revolution is current...
Preprint
Full-text available
The advent of Industry 4.0 has shown the tremendous transformative potential of combining artificial intelligence, cyber-physical systems and Internet of Things concepts in industrial settings. Despite this, data availability is still a major roadblock for the successful adoption of data-driven solutions, particularly concerning deep learning appro...
Preprint
div>The advent of Industry 4.0 has shown the tremendous transformative potential of combining artificial intelligence, cyber-physical systems and Internet of Things concepts in industrial settings. Despite this, data availability is still a major roadblock for the successful adoption of data-driven solutions, particularly concerning deep learning a...
Conference Paper
Full-text available
The proliferation of Information and Communication Technologies allowed the development of new solutions to be applied at the shop-floor and all the tools which helps the manufacturers. Hence, new solutions such as cyber-physical production systems, data analytics and knowledge management were developed and proposed to solve the well-known issues,...
Conference Paper
Full-text available
In the last decades, several research initiatives suggested new solutions regarding the interoperability and interconnectivity among heterogeneous production components and all the actors that somehow interact within the shop-floor. However, most of the proposed data representations are focused on the description of the production capabilities. In...
Article
Full-text available
To meet flexibility and reconfigurability requirements, modern production systems need hardware and software solutions which ease the connection and mediation of different and heterogonous industrial cyber-physical components. Following the vision of Industry 4.0, the H2020 PERFoRM project targets, particularly, the seamless reconfiguration of robo...
Conference Paper
Full-text available
With the advent of the Industry 4.0 movement, smart multiagent-based cyber-physical systems (CPS) are being more and more often proposed as a possible solution to tackle the requirements of intelligence, pluggability, scalability and connectivity of this paradigm. CPS have been suggested for a wide array of applications, including control, monitori...
Chapter
Full-text available
In modern manufacturing, high volumes of data are constantly being generated by the manufacturing processes. However, only a small percentage is actually used in a meaningful way. As part of the H2020 PERFoRM project, which follows the Industry 4.0 vision and targets the seamless reconfiguration of robots and machinery, this paper proposes a framew...
Conference Paper
A flexible manufacturing system is defined as a system that has the ability to respond to expected or unexpected changes in a manufacturing process. Currently, one of the options to implement a flexible manufacturing system, is the use of advanced technologies to provide more flexibility, lower cost and reusability. In this context, the modular rob...
Conference Paper
Full-text available
The manufacturing industry has been steadily evolving over the years, with new market trends encouraging manufacturers to find new ways to meet the consumers' demands and quickly adapt to new business opportunities. Manufacturing systems are therefore required to be more and more agile and flexible in an environment dominated by unpredictable chang...
Conference Paper
Full-text available
In recent years a set of production paradigms were proposed in order to allow companies the possibility to face the new market requirements and needs, such as the new demand for highly customized products and the decrease of product's life cycle. These new paradigms propose solutions capable of facing these requirements, giving manufacturing system...

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Projects

Projects (6)
Project
- Industry driven approach; - Boost ICT adoption in automation systems; - Build from standardization; - Modular design; - Demonstrate plug & produce concept; - Distributed data processing; - Industrial validation and dissemination
Project
Developing tools to support identification, diagnosis and prognosis of COVID-19 through AI
Project
BIECO aims to develop a framework that enables measurable, risk-based trust while developing, deploying and operating complex interconnected ICT systems. BIECO will offer a holistic approach for building and validating several technologies and methodologies that are specifically oriented to foster cyber-security and trust within ICT ecosystems.