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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 business analytics models to improve supply chain management (SCM). In this context, inventory risk management and supply/demand forecasting 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 5 times) with teaching merit awards/distinctions as a lecturer in the areas of OR&SCM. In 2022 and 2023, 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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)
2017 Since 2017, has participated in 8 International and National Conferences where has made public presentations of research work. Has also been invited for 3 talks in topics related to Operations Research, Business Analytics and Mathematical Optimization.

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2022/12 Participated in 1 PhD academic jury (as Main Examiner) at the University of Aveiro.
Arguente principal
 PhD (Doutoramento)
2021 Has taken part in 12 MSc academic juries at the University of Minho and Faculty of Engineering of the University of Porto (FEUP). Supervisor; Main Examiner (Mestrado)

Arbitragem científica em conferência

Nome da conferência Local da conferência
2021 - Atual Peer-reviewer of 5 articles in International/National Conferences

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2022 - Atual Peer reviewer of more than 20 articles submitted to journals (most indexed with Q1 rank in WoS and Scopus), including DSS, IJPE, CAIE, EAAI, ESWA, Scientific Reports

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2018 - Atual Teaching curricular units in the scientific areas of Data Science, Business Analytics, Operational Research and Supply Chain Management. In particular, he has taught 11 curricular units to 7 different courses of different levels (BSc, MSc, Executive Education).
Distinções

Prémio

2023 Diploma of Pedagogical Merit Recognition
Universidade do Minho Escola de Engenharia, 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
2021 Scientific Publication Award
Universidade do Minho Departamento de Produção e Sistemas, Portugal
2018 Best MSc Thesis Award in Systems Engineering
Universidade do Minho Departamento de Produção e Sistemas, Portugal
2018 Best MSc Student Award in Systems Engineering
Universidade do Minho Departamento de Produção e Sistemas, Portugal
2017 EstudIO Prize (Best Student Paper)
Associação Portuguesa de Investigação Operacional, Portugal