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João Nuno Gonçalves is a full-time Invited Assistant Professor in Data Science at Universidade Católica Portuguesa (UCP) and Researcher at CEGE - Research Centre in Management and Economics, Católica Porto Business School. He holds a PhD in Industrial and Systems Engineering (Business Analytics) and his research focus is on the development of decision analytics models to improve supply chain management (SCM). In this context, demand forecasting and sequential decision making are among his main areas of interest. João Nuno Gonçalves is the Coordinator of the BSc in Applied Data Science and member of the board of directors of the Institute of Computing and Data Science at UCP. His research work has been recognized with distinctions/prizes in the context of Operations Research and Supply Chain Management (OR&SCM), including the Logistics Excellence Award Academy 2022, awarded by the Portuguese Logistics Association (APLOG). During his teaching career, he has been distinguished (by 6 times) with teaching merit awards/distinctions as a lecturer in the areas of OR&SCM. In 2022, 2023 and 2024, he received the Diploma of Pedagogical Merit by the School of Engineering of University of Minho.
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Identificação

Identificação pessoal

Nome completo
João Nuno Costa Gonçalves

Nomes de citação

  • Gonçalves, J.N.C.

Identificadores de autor

Ciência ID
9A1A-FDC4-D122
ORCID iD
0000-0002-0933-1995
Google Scholar ID
https://scholar.google.com/citations?user=1XNSfDsAAAAJ&hl=pt-PT
Researcher Id
GOE-5856-2022
Scopus Author Id
57193505412

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Outras Ciências da Engenharia e Tecnologias - Outras áreas das Engenharias e Tecnologias

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Formação
Grau Classificação
2017 - 2021
Concluído
 Industrial and Systems Engineering (Doutoramento)
Especialização em Forecasting and Operations Research
Universidade do Minho, Portugal
"Towards enhanced safety stock estimation: Exploring machine learning strategies for supply chain demand forecasting" (TESE/DISSERTAÇÃO)
 Unanimously Approved with "Very Good" (Highest Grade)
2015 - 2017
Concluído
 Systems Engineering (Mestrado)
Especialização em Sem especialização
Universidade do Minho, Portugal
"Epidemiological Models and Optimal Control Theory - Applications to Marketing and Computer Viruses Transmission" (TESE/DISSERTAÇÃO)
 First Class Honours (ECTS A Class)
2012 - 2015
Concluído
 Mathematics (Licenciatura)
Universidade do Minho, Portugal
 Top 10% Best Students (ECTS A Scale)
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2022/09/01 - Atual Professor Auxiliar Convidado (Docente Universitário) Universidade Católica Portuguesa Centro Regional de Braga, Portugal
2021 - Atual Professor Auxiliar Convidado (Docente Universitário) Universidade do Minho, Portugal
Universidade do Minho Departamento de Produção e Sistemas, Portugal
2018 - 2021 Assistente Convidado (Docente Universitário) Universidade do Minho, Portugal
Universidade do Minho Departamento de Produção e Sistemas, Portugal
Projetos

Projeto

Designação Financiadores
2018/07/01 - 2021/12/31 Factory of the Future: Smart Manufacturing
POCI-01-0247-FEDER-039479
Investigador
Universidade do Minho Centro ALGORITMI, Portugal
Concluído
2019/01/01 - 2019/12/31 Centro de Investigação ALGORITMI
UID/CEC/00319/2019
Universidade do Minho, Portugal

Universidade do Minho Centro ALGORITMI, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
Produções

Publicações

Artigo em conferência
  1. Gonçalves, J.N.C.; Carvalho, M.S.; Costa, L.. "Improving Inventory Management in an Automotive Supply Chain: A Multi-objective Optimization Approach Using a Genetic Algorithm". 2019.
    10.1007/978-3-030-10731-4_10
  2. Gonçalves, J.N.C.; Rodrigues, H.S.; Monteiro, M.T.T.. "Optimal control strategies for an advertisement viral diffusion". 2018.
    10.1007/978-3-319-71583-4_10
Artigo em revista
  1. Marcelo I. Reis; João N. C. Gonçalves; Paulo Cortez; M. Sameiro Carvalho; João M. Fernandes. "A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations". Computers in Industry 165 (2025): http://hdl.handle.net/10400.14/47725.
    Publicado • 10.1016/j.compind.2024.104233
  2. Barros, J.; Gonçalves, J.N.C.; Cortez, P.; Carvalho, M.S.. "A decision support system based on a multivariate supervised regression strategy for estimating supply lead times". Engineering Applications of Artificial Intelligence 125 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85164239880&partnerID=MN8TOARS.
    10.1016/j.engappai.2023.106671
  3. Silva, P.M.; Gonçalves, J.N.C.; Martins, T.M.; Marques, L.C.; Oliveira, M.; Reis, M.I.; Araújo, L.; et al. "A hybrid bi-objective optimization approach for joint determination of safety stock and safety time buffers in multi-item single-stage industrial supply chains". Computers and Industrial Engineering 168 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85128333233&partnerID=MN8TOARS.
    10.1016/j.cie.2022.108095
  4. Gonçalves, J.N.C.; Cortez, P.; Carvalho, M.S.; Frazão, N.M.. "A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain". Decision Support Systems 142 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85097734622&partnerID=MN8TOARS.
    10.1016/j.dss.2020.113452
  5. Goncalves, J.N.C.; Cortez, P.; Carvalho, M.S.. "K-means clustering combined with principal component analysis for material profiling in automotive supply chains". European Journal of Industrial Engineering 15 2 (2021): 273-294. http://www.scopus.com/inward/record.url?eid=2-s2.0-85103879260&partnerID=MN8TOARS.
    10.1504/EJIE.2021.114009
  6. Silva, N.; Barros, J.; Santos, M.Y.; Costa, C.; Cortez, P.; Carvalho, M.S.; Gonçalves, J.N.C.. "Advancing logistics 4.0 with the implementation of a big data warehouse: A demonstration case for the automotive industry". Electronics (Switzerland) 10 18 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85114626210&partnerID=MN8TOARS.
    10.3390/electronics10182221
  7. Gonçalves, J.N.C.; Sameiro Carvalho, M.; Cortez, P.. "Operations research models and methods for safety stock determination: A review". Operations Research Perspectives 7 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85092930235&partnerID=MN8TOARS.
    10.1016/j.orp.2020.100164
  8. Gonçalves, J.N.C.; Rodrigues, H.S.; Monteiro, M.T.T.. "Preventing Computer Virus Prevalence using EpidemiologicalModeling and Optimal Control". Discontinuity, Nonlinearity, and Complexity 9 2 (2020): 187-197. http://www.scopus.com/inward/record.url?eid=2-s2.0-85103340709&partnerID=MN8TOARS.
    10.5890/DNC.2020.06.002
  9. Gonçalves, J.N.C.; Rodrigues, H.S.; Monteiro, M.T.T.. "Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model". Optimal Control Applications and Methods (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85064511980&partnerID=MN8TOARS.
    10.1002/oca.2505
  10. Gonçalves, J.N.C.; Rodrigues, H.S.; Teresa T. Monteiro, M.. "On the dynamics of a viral marketing model with optimal control using indirect and direct methods". Statistics, Optimization and Information Computing 6 4 (2018): 633-644. http://www.scopus.com/inward/record.url?eid=2-s2.0-85058818828&partnerID=MN8TOARS.
    10.19139/soic.v6i4.441
Livro
  1. Gonçalves, J.N.C.; Rodrigues, H.S.; Monteiro, M.T.T.. A contribution of dynamical systems theory and epidemiological modeling to a viral marketing campaign. 2017.
    10.1007/978-3-319-53480-0_96
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2024/03/24 Improving freight quoting through business analytics: a case study of a logistics service provider XXIII Congress of the Portuguese Operational Research Society (APDIO)
(Viseu, Portugal)
2024/03/06 A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations CEGE4ALL: Service Management & Performance Work-in-Progress Seminar.
(Porto, Portugal)
2023/11/16 Promoting business transformation in supply chain demand forecasting through supervised learning 3rd INSURE.hub Conference: Conference on Innovation, Sustainability and Regeneration
Universidade Católica Portuguesa (Porto, Portugal)
2022/09/29 Best Practices in Industry-University Collaboration ICOPEV 22 – International Conference on Production Economics and Project Evaluation.
(Castelo Branco, Portugal)
2019/06/23 Enhancing material profiling in automotive supply chains via principal component analysis and k-means clustering EURO 2019
2018/12/13 On the linkage between principal component analysis and k-means clustering
Department of Production and Systems
2018/09/05 Improving inventory management in an automotive supply chain: a multi–objective optimization approach using a genetic algorithm XIX Congress of the Portuguese Operational Research Society (APDIO)
(Aveiro, Portugal)
2017/06/28 Optimal control strategies for an advertisement viral diffusion 18th Congress of APDIO
(Valença, Portugal)
2017/06/14 On the diffusion of a viral marketing content using optimal control strategies
University of Aveiro
2017/06/12 Optimal control of an epidemiological viral marketing model using indirect and direct methods EPCO 2017 - Optimal Control Meeting
(Lisbon, Portugal)
2016/12/14 A contribution of dynamical systems theory and epidemiological modeling to a viral marketing campaign 16th International Conference on Intelligent Systems Design and Applications, ISDA 2016
(Porto, Portugal)
2016/10/13 Viral marketing as an epidemiological dynamical system Portuguese Meeting on Biomathematics
(Covilhã, Portugal)
2016/06/20 Optimal Control applied to a viral marketing campaign EPCO 2016 - Optimal Control Meeting
(Porto, Portugal)

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2023 - Atual Exploring the applicability of data-driven models and methods in supply chain business contexts: the challenges and opportunities
University of Minho, Portugal
2024 - 2024 Improving the fraud loss management process in an electronics retail company
Orientador
University of Minho, Portugal
2024 - 2024 Improving business service quality through analytics: a strategic business development study in the B2B glass industry
Orientador
University of Porto, Portugal
2023 - 2023 A data mining approach for the estimation of road freight transport quotations in a logistics service company
Orientador
University of Minho, Portugal
2023 - 2023 Improving raw material order management processes in an automotive company
Orientador
University of Minho, Portugal
2023 - 2023 Implementation of a holistic strategy to improve the categorization and management of non-value-adding inventory
Orientador
University of Minho, Portugal
2023 - 2023 A business intelligence system for monitoring critical parts in an automotive industry company
Orientador
University of Minho, Portugal
2023 - 2023 A business analytics approach towards improved safety buffer dimensioning
Orientador
University of Minho, Portugal
2022 - 2022 Business Intelligence tool to support risk management in a supply chain of an electric motor company
University of Minho, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2023/11/22 - 2023/11/24 ISM 2023 (2023/11/22 - 2023/11/24)
Conferência (Membro da Comissão Organizadora)
 University Institute of Lisbon, Portugal

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2024 Improving warehouse operations: leveraging simulation for efficient layout design and process improvement in a picking by line operation
Arguente principal
 Miguel de Carvalho Paula (Mestrado)
University of Minho, Portugal
2023 Optimization of raw material stock management and control processes to reduce the risk of overstock
Arguente principal
 Fábio Henrique da Silva Martins (Mestrado)
University of Minho, Portugal
2023 Uso de inteligência artificial para modelação de perfis energéticos em casas inteligentes
Arguente principal
 Catarina Videira Lima (Mestrado)
University of Minho, Portugal
2023 Controlling inventory of electronic products by predicting stockouts and lost sales
Arguente principal
 Tomás Costa e Silva Duarte Areias (Mestrado)
University of Porto, Portugal
2023 Mapping and assessing sustainability opportunities in the logistics function of a telco operator
Arguente principal
 David António Dias Costa Castro (Mestrado)
University of Porto, Portugal
2023 Improving the process of equipment control and correction in a telecommunications company: enhancing efficiency and effectiveness
Arguente principal
 Miguel Figueiredo Soeiro Messias (Mestrado)
University of Porto, Portugal
2022 Orchestration framework to support decision making in value stream oriented organizations
Arguente principal
 Maria João Ferreira (Doutoramento)
University of Aveiro, Portugal
2022 Operations improvement in an internal warehouse of a construction sector company
Arguente principal
 Laura Pinheiro Machado (Mestrado)
University of Minho, Portugal
2022 Optimization of the internal logistical process in an industrial environment
Arguente principal
 Daniel Marques Botelho (Mestrado)
University of Minho, Portugal
2022 Application of Robotic Process Automation technology in pharmaceutical logistics processes
Arguente principal
 João David de Azevedo Alves (Mestrado)
University of Minho, Portugal
2022 Application of Lean Six Sigma tools for the continuous improvement of productive cells
Arguente principal
 Hugo Miguel Chaves Costa (Mestrado)
University of Minho, Portugal
2021 Improvement and modelling of demand planning and forecasting processes in a paint manufacturer under a S&OP context
Arguente principal
 José Paulo Amaral Lemos (Mestrado)
University of Minho, Portugal
2021 Driving service excellence in a wood-based panel industry: A data-driven approach to act on supply chain quality
Arguente principal
 Hugo Miguel Mendes da Costa (Mestrado)
University of Minho, Portugal
2021 Digitalization in procurement for implementing procurer-determined bundles in price negotiation considering item synergies
Arguente principal
 Jorge Miguel Gonçalves da Silva (Mestrado)

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2024 - Atual International Journal of Production Economics (0925-5273) Elsevier B.V.
2024 - Atual Journal of Purchasing and Supply Management (1478-4092) Elsevier Ltd.
2024 - Atual Technology in Society (0160-791X) Elsevier Ltd.
2024 - Atual Computers and Operations Research (0305-0548) Elsevier Ltd.
2024 - Atual Journal of Business Research (0148-2963) Elsevier Inc.
2023 - Atual Expert Systems with Applications (0957-4174) Elsevier Ltd.
2023 - Atual Computers and Industrial Engineering (0360-8352) Elsevier Ltd.
2023 - Atual Engineering Applications of Artificial Intelligence (0952-1976) Elsevier Ltd.
2023 - Atual Scientific Reports (2045-2322) Nature Publishing Group
2023 - Atual Decision Analytics Journal Elsevier Inc.
2023 - Atual Cleaner Logistics and Supply Chain Elsevier Ltd.
2023 - Atual Cogent Engineering (2331-1916) Cogent OA
2022 - Atual Decision Support Systems (0167-9236) Elsevier B.V.
2022 - Atual Ain Shams Engineering Journal (2090-4479) Ain Shams University
2022 - Atual Expert Systems (0266-4720) Wiley-Blackwell Publishing Ltd

Membro de comissão

Descrição da atividade
Tipo de participação 		Instituição / Organização
2023/06 - Atual Institute of Computing and Data Science (Organisational unit)
Distinções

Prémio

2024 Diploma of Pedagogical Merit Recognition
Universidade do Minho Escola de Engenharia, Portugal
2024 Diploma of Recognition for Pedagogical Merit
University of Minho, Portugal
2024 MDS Best Paper Presentation Award
2023 Diploma of Pedagogical Merit Recognition
Universidade do Minho Escola de Engenharia, Portugal
2023 Diploma of Recognition for Pedagogical Merit
University of Minho, Portugal
2022 APLOG Logistics Excellence Award (Academy)
APLOG – Associação Portuguesa de Logística, Portugal
2022 Diploma of Pedagogical Merit Recognition
Universidade do Minho Escola de Engenharia, Portugal
2022 Diploma of Recognition for Pedagogical Merit
University of Minho, Portugal
2022 Logistics Excellence Award (Academy)
APLOG – Associação Portuguesa de Logística, Portugal
2021 3 (three) Scientific Publication Awards
Universidade do Minho Departamento de Produção e Sistemas, Portugal
2018 Best M.Sc. Student Award
Department of Production and Systems, Portugal
2018 Best M.Sc. Dissertation Award
Department of Production and Systems, Portugal
2017 EstudIO Award
Portuguese Operational Research Association (APDIO), Portugal