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My academic background has cultivated my interest for actively engaging in the operational research field. I have developed skills in the application of mathematical modelling and optimization techniques to address challenges within supply chain design and planning. While pursuing my PhD, I attended a NATCOR course in stochastic modelling, which is endorsed by the European Operational Research Society (EURO) at Lancaster University. Recently, I published a paper titled "Nesting and scheduling optimization in additive manufacturing systems: Mapping the territory" in Computers & Operations Research. As an invited assistant professor, I had the opportunity of leading lectures on Simulation of Operations in the Master's program in Industrial and Management Engineering.
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Identification

Personal identification

Full name
Marcelo Almeida Pinto
Date of birth
1998/12/10

Citation names

  • Pinto, Marcelo

Author identifiers

Ciência ID
2414-8F11-C7F0
ORCID iD
0000-0002-6909-3829
Google Scholar ID
y10538EAAAAJ
Researcher Id
KBC-8065-2024
Scopus Author Id
58944169800

Email addresses

  • marcelo.pinto@dem.uc.pt (Professional)

Telephones

Mobile phone
  • (+351) 914390007 (Personal)

Addresses

  • Faculdade de Ciências e Tecnologia da Universidade de Coimbra, R. Luis Reis dos Santos, 3030-788, Coimbra, Coimbra, Portugal (Professional)
  • Rua da Ladeira da Escola do Covo nº145 Mourio - S. P. Castelões, 3730-071, Vale de Cambra, Vale de Cambra, Portugal (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Mechanical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2022/09 - 2026/08
Ongoing
 Engenharia e Gestão Industrial (Doutoramento)
Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal
2019/09 - 2022/02
Concluded
 Engenharia e Gestão Industrial (Mestrado)
Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal
""Nesting and scheduling methods in additive manufacturing: bibliometric and systematic literature review"" (THESIS/DISSERTATION)
 17
2016/09 - 2019/08
Concluded
 Engenharia e Gestão Industrial (Licenciatura)
Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal
 14
Affiliation

Science

Category
Host institution 		Employer
2022/05 - Current Researcher (Research) Universidade de Coimbra Centro de Engenharia Mecânica, Portugal
Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2024/09 - 2025/02 Invited Associate Professor (University Teacher) Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal
Universidade de Coimbra Departamento de Engenharia Mecânica, Portugal
Outputs

Publications

Journal article
  1. Marcelo Pinto; Cristóvão Silva; Matthias Thürer; Samuel Moniz. "Nesting and scheduling optimization of additive manufacturing Systems: Mapping the territory". Computers & Operations Research (2024): https://doi.org/10.1016/j.cor.2024.106592.
    10.1016/j.cor.2024.106592
Activities

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2022/11/06 - 2022/11/08 IO2022 - Portuguese Operational Research Association (APDIO)
Congress
 XXII Congress of the Portuguese Operational Research Association (APDIO)
Associação Portuguesa de Investigação Operacional, Portugal

Universidade de Évora, Portugal

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2023/04/17 - 2023/04/21 NATCOR - Association of European or Societies (EURO) Stochastic Modelling Lancaster University Management School, United Kingdom
Distinctions

Award

2022 5% Best Students at University of Coimbra
Universidade de Coimbra, Portugal