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Ricardo Silva Peres (Member, IEEE) received the M.Sc. and Ph.D. degrees in electrical and computer engineering from NOVA-SST, Portugal, in 2015 and 2019, respectively, specializing in the application of AI in smart manufacturing. Since 2014, he has been a Researcher with UNINOVA—CTS, working with the intersection of AI, robotics, and data science. He is currently an Invited Professor with NOVA-SST, integrating the Department of Electrical Engineering. He has participated in several national and international research projects. He is the author of several publications in high-ranking international scientific journals and conference proceedings (peer-reviewed). His research interests include industrial AI, cyber-physical systems, and multi-agent systems. He has been a member of the IEEE IES Technical Committee on Industrial Agents, since 2018, and the IEEE Standards Association P2805.1/2/3 Edge Computing Nodes Working Group, since 2019.
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Identification

Personal identification

Full name
Ricardo Alexandre Fernandes da Silva Peres

Citation names

  • Peres, Ricardo
  • Ricardo Silva Peres

Author identifiers

Ciência ID
621B-C255-A095
ORCID iD
0000-0003-3777-1346
Google Scholar ID
lkncqlMAAAAJ
Researcher Id
P-9610-2019
Scopus Author Id
56996973900

Email addresses

  • ricardo.peres@uninova.pt (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2016/02 - 2019/12/05
Concluded
 Engenharia Eletrotécnica e de Computadores (Doutoramento)
Major in Robótica e Manufactura Integrada
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"An Industrial Data Analysis and Supervision Framework for Predictive Manufacturing Systems" (THESIS/DISSERTATION)
 Aprovado por unanimidade
2009 - 2015
Concluded
 Engenharia Eletrotécnica e de Computadores (Mestrado integrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution 		Employer
2014 - Current Researcher (Research) Universidade Nova de Lisboa UNINOVA Instituto de Desenvolvimento de Novas Tecnologias, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2020/03 - Current Invited Assistant Professor (University Teacher) Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/09 - 2019/12 Invited Assistant (University Teacher) Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2015/02 - 2015/06 Tutor (University Teacher) Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2014/09 - 2014/12 Tutor (University Teacher) Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
Projects

Contract

Designation Funders
2023/06 - Current PRR TEC4GREEN
02/C05-i01.01/2022.PC644948561-00000052
Researcher
Universidade Nova de Lisboa UNINOVA Instituto de Desenvolvimento de Novas Tecnologias, Portugal
Ongoing
2021 - Current COVOICE-19 (AI4COVID) - Development of AI tools for the identification, diagnostic and prognostic of COVID-19 patients
DSAIPA/AI/0111/2020
Co-Principal Investigator (Co-PI)
Fundação para a Ciência e a Tecnologia
Ongoing
2019/10 - Current AVANGARD - Advanced manufacturing solutions tightly aligned with business needs
869986
Researcher
Universidade Nova de Lisboa UNINOVA Instituto de Desenvolvimento de Novas Tecnologias, Portugal
2020/09 - 2023/08 BIECO - Building Trust in Ecosystems and Ecosystem Components
952702
Technical Coordinator and WP2 Leader
European Commission
2016/10 - 2019/10 GO0D MAN - aGent Oriented Zero Defect Multi-stage mANufacturing
723764
Researcher
Universidade Nova de Lisboa UNINOVA Instituto de Desenvolvimento de Novas Tecnologias, Portugal
2015/10 - 2018/10 PERFoRM - Production harmonizEd Reconfiguration of Flexible Robots and Machinery
680435
Researcher
Universidade Nova de Lisboa UNINOVA Instituto de Desenvolvimento de Novas Tecnologias, Portugal
Concluded
2014/01 - 2015/10 PRIME - Plug and PRoduce Intelligent Multi Agent Environment based on Standard Technology
314762
Researcher
Universidade Nova de Lisboa UNINOVA Instituto de Desenvolvimento de Novas Tecnologias, Portugal
Concluded
Outputs

Publications

Book chapter
  1. Ricardo Silva Peres. "IFEVS Use Case". 2019.
    10.1201/9780429263316-12
  2. Ricardo Silva Peres. "Architectural Elements: PERFoRM Data Model". 2019.
    10.1201/9780429263316-4
Conference paper
  1. Leandro Filipe; Ricardo Silva Peres; Francisco Marques; Jose Barata. "Gesture-Based Feedback in Human-Robot Interaction for Object Manipulation". 2022.
    10.1007/978-3-031-07520-9_12
  2. Said Daoudagh; Eda Marchetti; Antonello Calabrò; Filipa Ferrada; Ana Inês Oliveira; José Barata; Ricardo Peres; Francisco Marques. "An Ontology-Based Solution for Monitoring IoT Cybersecurity". Paper presented in IFIP International Internet of Things Conference, 2022.
    10.1007/978-3-031-18872-5_10
  3. Ricardo Silva Peres; Jose Barata. "Remote E-Learning for Cyber-Physical Production Systems in Higher Education". Paper presented in IEEE 19th International Conference on Industrial Informatics, 2021.
    Published • 10.1109/INDIN45523.2021.9557429
  4. André Dionísio Rocha; João Tripa; Duarte Alemão; Ricardo Silva Peres; Jose Barata. "Agent-based plug and produce cyber-physical production system - Test case". 2019.
    10.1109/INDIN41052.2019.8972169
  5. Ricardo Silva Peres; André Dionisio Rocha; João Pedro Matos; Jose Barata. "GO0DMAN Data Model - Interoperability in Multistage Zero Defect Manufacturing". 2018.
    10.1109/INDIN.2018.8472017
  6. André Dionísio Rocha; Ricardo Silva Peres; Jose Barata; Jose Barbosa; Paulo Leitão. "Improvement of Multistage Quality Control through the Integration of Decision Modeling and Cyber-Physical Production Systems". 2018.
    Published • 10.1109/IS.2018.8710492
  7. Peres, Ricardo. "Integration and Deployment of a Distributed and Pluggable Industrial Architecture for the PERFoRM Project". 2017.
    10.1016/j.promfg.2017.07.193
  8. Peres, Ricardo; Andre Dionisio Rocha; Barata, Jose. "Dynamic Simulation for MAS-Based Data Acquisition and Pre-processing in Manufacturing Using V-REP". Paper presented in Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS 2017), 2017.
    10.1007/978-3-319-56077-9_11
  9. Peres, Ricardo; Andre Dionisio Rocha; André Coelho; Barata, Jose. "A Highly Flexible, Distributed Data Analysis Framework for Industry 4.0 Manufacturing Systems". Paper presented in SOHOMA 2016: Service Orientation in Holonic and Multi-Agent Manufacturing, 2016.
    Published • 10.1007/978-3-319-51100-9_33
  10. Peres, Ricardo. "Selection of a data exchange format for industry 4.0 manufacturing systems". 2016.
    10.1109/IECON.2016.7793750
  11. Peres, Ricardo. "An agent based monitoring architecture for plug and produce based manufacturing systems". 2015.
    10.1109/INDIN.2015.7281926
  12. Peres, Ricardo. "A multiagent based knowledge extraction framework to support plug and produce capabilities in manufacturing monitoring systems". 2015.
    10.1109/ISMA.2015.7373494
  13. Peres, Ricardo. "A systematic approach to trajectory planning applied to modular robots". 2015.
    10.1109/ISMA.2015.7373495
Journal article
  1. Sara Oleiro Araújo; Ricardo Silva Peres; José Cochicho Ramalho; Fernando Lidon; José Barata. "Machine Learning Applications in Agriculture: Current Trends, Challenges, and Future Perspectives". Agronomy (2023): https://doi.org/10.3390/agronomy13122976.
    10.3390/agronomy13122976
  2. Said Daoudagh; Eda Marchetti; Antonello Calabrò; FERRADA, FILIPA; Ana Inês Oliveira; Barata, Jose; Ricardo Silva Peres; Francisco Marques. "DAEMON: A Domain-Based Monitoring Ontology for IoT Systems". SN Computer Science 4 5 (2023):
    Published • https://doi.org/10.1007/s42979-023-01975-y
  3. Nelson Freitas; Sara Oleiro Araújo; Duarte Alemão; João Ramos; Magno Guedes; José Gonçalves; Ricardo Silva Peres; Andre Dionisio Rocha; José Barata. "Cloud-Based Machine Learning Application for Predicting Energy Consumption in Automotive Spot Welding". Processes (2023): https://doi.org/10.3390/pr11010284.
    10.3390/pr11010284
  4. Sara Oleiro Araújo; Ricardo Silva Peres; Leandro Filipe; Alexandre Manta-Costa; Fernando Lidon; José Cochicho Ramalho; José Barata. "Intelligent Data-Driven Decision Support for Agricultural Systems-ID3SAS". IEEE Access (2023): https://doi.org/10.1109/ACCESS.2023.3324813.
    10.1109/ACCESS.2023.3324813
  5. Ricardo Silva Peres; Alexandre Manta-Costa; José Barata. "Implementing Privacy-Preserving and Collaborative Industrial Artificial Intelligence". IEEE Access (2023): https://doi.org/10.1109/ACCESS.2023.3296143.
    10.1109/ACCESS.2023.3296143
  6. Ricardo Silva Peres; Magno Guedes; Fábio Miranda; Barata, Jose. Corresponding author: Ricardo Silva Peres. "Simulation-Based Data Augmentation for the Quality Inspection of Structural Adhesive With Deep Learning". IEEE Access (2021): https://doi.org/10.1109/access.2021.3082690.
    10.36227/techrxiv.14287334.v1
  7. Sara Oleiro Araújo; Ricardo Silva Peres; José Barata; Fernando Lidon; José Cochicho Ramalho. "Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities". Agronomy 11 4 (2021): 667-667. https://doi.org/10.3390/agronomy11040667.
    10.3390/agronomy11040667
  8. Ricardo Silva Peres; Miguel Azevedo; Sara Oleiro Araújo; Magno Guedes; Fábio Miranda; José Barata. "Generative Adversarial Networks for Data Augmentation in Structural Adhesive Inspection". Applied Sciences 11 7 (2021): 3086-3086. https://doi.org/10.3390/app11073086.
    10.3390/app11073086
  9. Leandro Filipe; Ricardo Silva Peres; Rui Manuel Tavares. "Voice-Activated Smart Home Controller Using Machine Learning". IEEE Access 9 (2021): 66852-66863. https://doi.org/10.1109/ACCESS.2021.3076750.
    10.1109/ACCESS.2021.3076750
  10. Ricardo Silva Peres. "Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook". IEEE Access 8 (2020): 220121-220139. http://dx.doi.org/10.1109/access.2020.3042874.
    10.1109/access.2020.3042874
  11. Ricardo Silva Peres; Jose Barata; Paulo Leitao; Gisela Garcia. "Multistage Quality Control Using Machine Learning in the Automotive Industry". IEEE Access 7 (2019): 79908-79916. https://doi.org/10.1109/ACCESS.2019.2923405.
    10.1109/ACCESS.2019.2923405
  12. Peres, Ricardo. "IDARTS - Towards intelligent data analysis and real-time supervision for industry 4.0". Computers in Industry 101 (2018): 138-146. https://www.sciencedirect.com/science/article/pii/S0166361517306759?_rdoc=1&_fmt=high&_origin=gateway&_docanchor=&md5=b8429449ccfc9c30159a5f9aeaa92ffb.
    10.1016/j.compind.2018.07.004
Thesis / Dissertation
  1. Ricardo Silva Peres. "An Industrial Data Analysis and Supervision Framework for Predictive Manufacturing Systems". PhD, Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, 2019. http://hdl.handle.net/10362/91108.
  2. Peres, Ricardo. "An agent based architecture to support monitoring in plug and produce manufacturing systems using knowledge extraction". 2015.
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2022 - 2023 AI-based Colorimetric Inspection of Painted Automotive Parts
Supervisor
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2022 Implementação do Paradigma Fog Computing em Sistemas Ciber-Físicos Através de Agentes Containerizados
Supervisor
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2022 Framework for the Collaborative Improvement of Smart Manufacturing using Privacy-Preserving Federated Learning
Supervisor of Alexandre Costa
2021 - 2022 Data augmentation using deep learning to tackle data scarcity in manufacturing quality control
Supervisor of Miguel Azevedo
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2022 Applying deep learning to estimate fruit yield in Agriculture 4.0 systems
Supervisor of José Bate
 Engenharia Electrotécnica e de Computadores (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2021 - 2022 Improve Quality Control and Diagnosis in Industrial Glue Processes with Machine Learning
Supervisor of Costel Tabarcea
 Engenharia Electrotécnica e de Computadores (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020 - 2021 Automated Character Recognition to Support Logistics in Shipyards
Co-supervisor of João Duarte
 Engenharia Electrotécnica e de Computadores (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020 - 2021 Voice-activated Cognitive Controller for Home Blinds
Co-supervisor of Leandro Filipe
 Engenharia Electrotécnica e de Computadores (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019 - 2020 A Knowledge Management and Reasoning approach to support predictive manufacturing
Co-supervisor of Abisola Akinrinade
 Engenharia Electrotécnica e de Computadores (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2018/09 - 2019/09 Deep Reinforcement Learning para a Optimização de Políticas de Encaminhamento na Manufatura
Co-supervisor
 Mestrado Integrado em Engenharia Eletrotécnica e de Computadores (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2022 - 2022 Special Session Organizer of IFIP IoT 2022 for the session titled 'Cybersecurity in IoT' (2022 - 2022)
2021 - 2021 Member of the Technical Program Committee of the 2021 International Conference on Artificial Intelligence and Big Data in Digital Era, 18-19 December 2021, Vietnam. Proceedings published by Springer, indexed to Scopus and Web of Science (2021/12/18 - 2021/12/19)
Conference (Other)
2021 - 2021 Member of the Program Committee of the 14th International Conference on Computational Intelligence in Security for Information Systems, 22-24 September 2021, Spain. Proceedings published by Springer. (2021/09/22 - 2021/09/24)
Conference (Other)
2020 - 2020 Technical Track Chair of Industrial Informatics Tools at INDIN'20 – 18th IEEE International Conference on Industrial Informatics, 20-23 July 2020 (2020/07/20 - 2020/07/23)
Conference (Other)
 IEEE, United States
2020 - 2020 Session Chair of INDIN'20 - 18th IEEE International Conference on Industrial Informatics, 22 July 2020 (Technical Track Technologies and Infrastructures for Smart Grids, Buildings and Cities - I). (2020/07/22 - 2020/07/22)
Conference (Other)
 IEEE, United States
2019/10/14 - 2019/10/17 Local Organization of IECON'19 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, 14-17 October 2019. (2019/10/14 - 2019/10/17)
Conference (Member of the Organising Committee)
 Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2021 Simulation-based Digital Twin for Distributed Manufacturing Control Systems
(Thesis) Main arguer
 Gonçalo Alexandre Roque Rolo (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/07 Uma Abordagem para Manutenção Preditiva baseada em Sistemas Multi-Agente e "Machine Learning"
Supervisor
 Diogo Filipe Faria Duarte Fernandes (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020/07 A Knowledge Management and Reasoning Approach to Support Predictive Manufacturing
Supervisor
 Abisola Akintunde Akinrinade (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2020 Agent-based Plug and Produce Cyber-Physical Production System using Fog Computing
(Thesis) Main arguer
 João Filipe Palmela Tripa (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2019/12 Improve the Performance of Industrial Agents using Fog Computing
(Thesis) Main arguer
 Guilherme Alexandre Rolo (Master)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
Distinctions

Award

2021 Best Presentation Award at INDIN'21
IEEE, United States