Luís Neto

Home

I am currently a Researcher in the Digital and Intelligent Industry Lab (DIGI2) at Faculty of Engineering, University of Porto (FEUP).

My current research interests are software component models, embedded, reconfigurable and distributed systems and computer networks.

Since 2014 I have participated in several National and European research projects regarding Industry 4.0, Cyber Physical Production Systems and Industry Digitalization.


Component Models Illustration

Research

Driven by a persistent interest in Computer Networks and Embedded Systems, I pursued the Embedded and Distributed Systems specialization during my Bachelor's degree. Recognizing the gap between embedded systems and other computing disciplines, and fuelled by the burgeoning growth of the Internet of Things (IoT), I completed my Master's thesis at the Institute of Systems and Robotics (ISR).

My Ms. thesis, framed within the European projects SelSus and I-RAMP3, investigated the digitalization of European industry through ubiquitous computing and sensor integration. It resulted in a component model middleware capable of dynamic reconfiguration of sensor data processing (SelSus) and multi-agent system collaboration (I-RAMP3).

The "Smart Component" concept significantly influenced my work. Emerging from collaborations among academic and industrial institutions within Factories of the Future (FoF) initiatives, it gained traction through the Co-Factor project's standardization efforts. This concept has served as a guiding principle throughout my research journey.

Open research questions in the crossing between Industry 4.0, Component Based Software Engineering and Embedded Systems led me to the Doctoral Program in Informatics Engineering (ProDEI at FEUP) in 2016.

My doctoral thesis focused on highly reconfigurable software for industrial applications, drawing upon component-based software engineering and embedded systems principles. This research experience has equipped me with robust research competencies and problem-solving skills, alongside a deep understanding of software systems and development processes. Further enriched by my participation in 11 research projects, I have developed substantial technical expertise, project management abilities, and team leadership skills.

Publications

  • 2023
  • Machado, Rui; Rodrigues, Ricardo; Neto, Luís; Barbosa, Luís; Bessa, Maximino; Melo, Miguel. Immersive Virtual Reality Training Platforms powered by Digital Twin Technologies: the SMARTCUT Case Study International Conference on Graphics and Interaction, November 2023.
  • 2022
  • Pedro Torres, Rogério Dionísio, Sérgio Malhão, Luís Neto, Gil Gonçalves. Machinery Retrofiting for Industry 4.0 Innovations in Mechatronics Engineering. icieng 2021. Lecture Notes in Mechanical Engineering. Springer, Cham.
  • Juhás, Martin and Gulan, Martin and Neto, Luís and Gonçalves, Gil and Komenda, Titanilla and Pickel, Laurenz and Zhou, Shiyang and Schickling, Claudia and Lokšík, Milan and Morháč, Martin. FactoRIS – A Learning Factories Based Education Framework to Support Digital Transformation of Manufacturing SMEs Proceedings of the 12th Conference on Learning Factories (CLF 2022), Available at SSRN: https://ssrn.com/abstract=4071842.
  • João Pinheiro, Diogo Oliveira, Luís Neto, Gil Gonçalves. Introducing students to zero defects, condition monitoring and system integration using a refurbished learning factory Proceedings of the 12th Conference on Learning Factories (CLF 2022), Available at SSRN: https://ssrn.com/abstract=4074914.
  • 2020
  • Luís Neto, Gil Gonçalves, Pedro Torres, Rogério Dionísio. On the development of a component model for the realization of Industry 4.0. Proceedings of the 3rd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), pp , IEEE, Tampere, Finland, Jully, 2020.
  • 2019
  • Pedro Torres, Rogério Dionísio, Sérgio Malhão, Luís Neto, Ricardo Ferreira, Helena Gouveia, Hélder Castro. Cyber-Physical Production Systems supported by Intelligent Devices (SmartBoxes) for Industrial Processes Digitalization. Proceedings of the 5th International forum on Research and Technology for Society and Industry (RTSI), pp 73-78, IEEE, Florence, Italy, September, 2019.
  • Luís Neto, Pedro Torres, Rogério Dionísio, Gil Gonçalves. An Industry 4.0 Self Description Information Model for Software Components contained in the Administration Shell. Proceedings of the Eighth International Conference on Intelligent Systems and Applications (INTELLI), pp 24-29, IARIA, Rome, Italy, Jully, 2019.
  • 2018
  • Luis Neto, Anders L. Madsen, Nicolaj Sondberg-Jeppesen, Ricardo Silva, João Reis, Peter McIntyre, Gil Gonçalves. A component framework as an enabler for industrial cyber physical systems. Proceedings of the 2018 IEEE Industrial Cyber-Physical Systems (ICPS), pp 339-344, IEEE, St. Petersburg, Russia, May, 2018.
  • Luís Neto, Gil Gonçalves. Component Models for Embedded Systems in Industrial Cyber-Physical Systems. Proceedings of the The Seventh International Conference on Intelligent Systems and Applications (INTELLI), pp 24-29, IARIA, Venice, Italy, June, 2018.
  • 2017
  • Ricardo Silva, João Reis, Luis Neto, Gil Gonçalves. Universal parser for wireless sensor networks in industrial cyber physical production systems. Proceedings of the 15th International Conference on Industrial Informatics (INDIN), pp. 633-638, Emden, Germany, IEEE, Jully, 2017.
  • Anders L. Madsen, Nicolaj Søndberg, Jeppesen Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luís Neto, Joao Reis and Niels Lohse. Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017. Lecture Notes in Computer Science, vol 10369, pp. 633-638, Springer, June, 2017.
  • Luis Neto, João Reis, Ricardo Silva and Gil Gonçalves. Sensor SelComp, a smart component for the industrial sensor cloud of the future. Proceedings of the 2017 IEEE International Conference on Industrial Technology (ICIT), pp 1256-1261, IEEE, Toronto, Canada, March, 2017.
  • Luís Neto, Henrique Lopes Cardoso, Carlos Soares, Gil Gonçalves. A Constraint Programming Approach to Optimize Network Calls by Minimizing Variance in Data Availability Times. In the International Journal on Advances in Telecommunications, pp 50-59, ISSN 1942-2601, vol. 10, no. 1&2, IARIA, 2017.
  • 2016
  • Luís Neto, Henrique Lopes Cardoso, Carlos Soares, Gil Gonçalves. Optimizing Network Calls by Minimizing Variance in Data Availability Times. Proceedings of the International Symposium on Intelligent Manufacturing Environments (InManEnt), pp 142-147, IARIA, Barcelona, Spain, November, 2016.
  • 2015
  • Luis Neto, João Reis, Diana Guimarães and Gil Gonçalves. Sensor cloud: SmartComponent framework for reconfigurable diagnostics in intelligent manufacturing environments. Proceedings of the 13th International Conference on Industrial Informatics (INDIN), pp 1706-1711, IEEE, Cambridgeshire, United Kingdom, Jully, 2015.

About Me

  • Short Duration Courses
  • Sensors and Sensor Circuit Design, University of Colorado Boulder @ Coursera. [May 2019]

  • IEEE CASS "Seasonal School in CAS4IIoT", Faculty of Sciences and Technology of NOVA University of Lisbon (FCT NOVA). [29-30 November 2018]

  • Introduction to FPGA Design for Embedded Systems, University of Colorado Boulder @Coursera. [January 2018]

  • Miracles of Human Language: An Introduction to Linguistics, Universiteit Leiden & Meertens instituut (KNAW) @ Coursera. [June 2016]

  • Signal Processing and Aquisition, Faculdade de Engenharia da Universidade do Porto, 6 ECTS. [January 2015 – June 2015]

  • Automotive Electronics, Faculdade de Engenharia da Universidade do Porto, 6 ECTS. [September 2014 – January 2015]

Other Stuff

Contact

Room I319
Faculdade de Engenharia da Universidade do Porto (FEUP)
Rua Dr. Roberto Frias, S/N
4200-465 Porto
Portugal

lcsmneto


© Luís Neto 2020 (Last Update - February 2024) | Template by w3.css