Luis Neto (4816-7332-9725)

Curriculum Vitae

Luis Neto

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.

Identification

Personal identification

Full name: Luis Neto

Citation names

Neto, Luis

Author identifiers

Ciência ID: 4816-7332-9725
ORCID iD: 0000-0002-5025-1145

Websites

https://paginas.fe.up.pt/~lcneto/index.html (Personal)

Knowledge fields

Exact Sciences - Computer and Information Sciences

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
English	Upper intermediate (B2)	Advanced (C1)	Advanced (C1)	Upper intermediate (B2)
Spanish; Castilian	Beginner (A1)	Intermediate (B1)	Beginner (A1)	Elementary (A2)

Education

	Degree	Classification
2015/10 - 2024/01 Concluded	Doctoral Program in Informatics Engineering (ProDEI) (Doutoramento) Major in Industry 4.0, Reconfigurable Computing, Embedded Systems, Cyber Physical Systems Universidade do Porto Faculdade de Engenharia, Portugal "Highly Reconfigurable Smart Component System" (THESIS/DISSERTATION)
2014 Concluded	Mestrado Integrado em Engenharia de Redes e Sistemas Informáticos (Mestrado) Universidade do Porto Faculdade de Ciências, Portugal "Reconfigurable SmartComponent System" (THESIS/DISSERTATION)	12

Affiliation

Science

	Category Host institution	Employer
2017/11 - Current	Researcher (Research)	Universidade do Porto Centro de Investigação em Sistemas e Tecnologias, Portugal
	Universidade do Porto Faculdade de Engenharia, Portugal

Teaching in Higher Education

	Category Host institution	Employer
2020/02 - 2020/08	Invited Assistant Professor (University Teacher)	Universidade do Porto Faculdade de Engenharia, Portugal

Others

	Category Host institution	Employer
2017/09/01 - 2018/02/01	Bolseiro na unidade de I&D SYSTEC-FoF: ID em tecnologias base para Sistemas de Produção Ciber-Físicos	Universidade do Porto Centro de Investigação em Sistemas e Tecnologias, Portugal

2017/09/01 - 2018/02/01	Bolseiro na unidade de I&D SYSTEC-FoF: ID em tecnologias base para Sistemas de Produção Ciber-Físicos	Universidade do Porto Centro de Investigação em Sistemas e Tecnologias, Portugal

2015/05/01 - 2017/08/01	Bolseiro no Projecto: SelSus - Health Monitoring and Life-Long Capability Management for SELf-SUStaining Manufacturing Systems	Instituto de Sistemas e Robótica - Porto (ISR-P), Portugal

2015/05/01 - 2017/08/01	Bolseiro no Projecto: SelSus - Health Monitoring and Life-Long Capability Management for SELf-SUStaining Manufacturing Systems	Instituto de Sistemas e Robótica - Porto (ISR-P), Portugal

2014/12/01 - 2015/05/01	Bolseiro no Projecto: I-RAMP³ - Intelligent Reconfigurable Machines for Smart Plug&Produce Production	Universidade do Porto Faculdade de Engenharia, Portugal

2014/07/01 - 2014/12/01	Bolseiro no Projecto: TICE Healthy - Vigilância Epidemiológica em ambiente hospitalar: detecção e contenção de IACS	Universidade do Porto Faculdade de Engenharia, Portugal

Projects

Contract

	Designation	Funders
2020/12/01 - 2033/06/30	Diagnóstico e Manutenção Remota e Simuladores para Formação de operação e manutenção de Máquinas Florestais (SMARTCUT) POCI-01-0247-FEDER-048183 Researcher Universidade do Porto Centro de Investigação em Sistemas e Tecnologias, Portugal

Outputs

Publications

Book chapter	Torres, Pedro M. B.; Spencer, Geoffrey; Neto, Luis; Gonçalves, Gil; Dionísio, Rogério. "Industrial Digitalization Solutions for Precision Forestry Towards Forestry 4.0". In Innovations in Smart Cities Applications Volume 6, 79-86. Springer International Publishing, 2023. 10.1007/978-3-031-26852-6_7
Conference paper	TORRES, PEDRO; Dionísio, Rogério; Malhao, Sergio; Neto, Luis; Gil Manuel Magalhães de Andrade Gonçalves. Corresponding author: TORRES, PEDRO. "Machinery Retrofiting for Industry 4.0". Paper presented in International Conference Innovation in Engineering, Guimarães, 2021. https://doi.org/10.1007/978-3-030-79168-1_20 Neto, Luis. "On the development of a component model for the realization of Industry 4.0". Paper presented in IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2020. Published Torres, Pedro; Dionisio, Rogerio; Malhao, Sergio; Neto, Luis; Ferreira, Ricardo; Gouveia, Helena; Castro, Helder. "Cyber-Physical Production Systems supported by Intelligent Devices (SmartBoxes) for Industrial Processes Digitalization". 2019. 10.1109/rtsi.2019.8895553 Neto, Luis. "An Industry 4.0 Self Description Information Model for Software Components contained in the Administration Shell". Paper presented in Eighth International Conference on Intelligent Systems and Applications (INTELLI), 2019. Published Neto, Luis. "Component Models for Embedded Systems in Industrial Cyber-Physical Systems". Paper presented in The Seventh International Conference on Intelligent Systems and Applications (INTELLI), 2018. Published Neto, Luis; Madsen, Anders L.; Sondberg-Jeppesen, Nicolaj; Silva, Ricardo; Reis, Joao; McIntyre, Peter; Goncalves, Gil. "A component framework as an enabler for industrial cyber physical systems". 2018. 10.1109/icphys.2018.8387682 Neto, Luis; Reis, Joao; Silva, Ricardo; Goncalves, Gil. "Sensor SelComp, a smart component for the industrial sensor cloud of the future". 2017. 10.1109/icit.2017.7915543 Silva, Ricardo; Reis, Joao; Neto, Luis; Goncalves, Gil. "Universal parser for wireless sensor networks in industrial cyber physical production systems". 2017. 10.1109/indin.2017.8104845 Neto, Luis. "Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data". Paper presented in Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017., 2017. Neto, Luis. "Optimizing Network Calls by Minimizing Variance in Data Availability Times". Paper presented in International Symposium on Intelligent Manufacturing Environments (InManEnt), Barcelona, 2016. Published Neto, Luis; Reis, Joao; Guimaraes, Diana; Goncalves, Gil. "Sensor cloud: SmartComponent framework for reconfigurable diagnostics in intelligent manufacturing environments". 2015. 10.1109/indin.2015.7281991
Journal article	Pinheiro, João; Oliveira, Diogo; Neto, Luis; Pinto, Vítor H.; Gonçalves, Gil. "Development of an IEEE 1451 Plug-and-Play Module for Smart Transducers in Industrial Environments". Sensors 22 20 (2022): 7880. http://dx.doi.org/10.3390/s22207880. 10.3390/s22207880 Oliveira, Diogo; Pinheiro, João; Neto, Luis; Pinto, Vítor H.; Gonçalves, Gil. "A Plug-and-Play Solution for Smart Transducers in Industrial Applications Based on IEEE 1451 and IEC 61499 Standards". Sensors 22 19 (2022): 7694. http://dx.doi.org/10.3390/s22197694. 10.3390/s22197694 Juhás, Martin; Gulan, Martin; Neto, Luís; Gonçalves, Gil; Komenda, Titanilla; Pickel, Laurenz; Zhou, Shiyang; et al. "FactoRIS – A Learning Factories Based Education Framework to Support Digital Transformation of Manufacturing SMEs". Proceedings of the 12th Conference on Learning Factories (CLF 2022) (2022): http://dx.doi.org/10.2139/ssrn.4071842. Published • 10.2139/ssrn.4071842 Pinheiro, João; Oliveira, Diogo; Neto, Luís; Gonçalves, Gil. "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) (2022): http://dx.doi.org/10.2139/ssrn.4074914. Open access • Published • 10.2139/ssrn.4074914
Newspaper article	Neto, Luis. "A Constraint Programming Approach to Optimize Network Calls by Minimizing Variance in Data Availability Times", International Journal on Advances in Telecommunications, 2017

Activities

Course / Discipline taught

	Academic session	Degree Subject (Type)	Institution / Organization
2020/02 - 2020/08	Information Systems	Mestrado Integrado em Engenharia Electrotécnica e de Computadores	Universidade do Porto Faculdade de Engenharia, Portugal

Distinctions

Other distinction

2019	Best Paper Award - The Eighth International Conference on Intelligent Systems and Applications (INTELLI 2019), for the paper: “An Industry 4.0 Self-Description Information Model for Software Components Contained in the Administration Shell”.
2016	Best Paper Award pela publicação: "Optimizing Network Calls by Minimizing Variance in Data Availability Times"
2010	Concurso Empreendedorismo, 1º classificado em competição nacional da Junior Achievement Portugal e 3º classificado na mesma competição a nível europeu.