Home » User
Algoritmi | User | Marcelo Indio dos Reis

Marcelo Indio dos Reis

Marcelo Indio dos Reis

At Algoritmi

Assistant Researcher with MSc

Member of the IST R&D Group

Member of the IDS R&D Lab

Academic Degree

MSc

Current Position

Assistant Researcher at

Personal Webpage

Personal Email

ID8732@alunos.uminho.pt

Orcid

0000-0003-1930-973X

Researcher ID

NRX-9138-2025

Ciência ID

8A16-EE78-BE70

Google Scholar

OC9CFDsAAAAJ

h-index

0

Publications

0

Editorial

0

Citations

0

Q1 / Q2

0

A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations

Computers in Industry

2025 | journal-article

See more

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 & INDUSTRIAL ENGINEERING

2022 | journal-article

See more

Análise de sentimento de insegurança no Twitter

Escola Regional de Computação Bahia - Alagoas e Sergipe

2018 | conference-paper

See more

Identifying Resilience in Emergency Response Stories

2008 | other

See more

Identifying Resilient Actions in Decision Making During Emergencies

Encyclopedia of Decision Making and Decision Support Technologies

2008 | book-chapter

See more

Recalling Resilient Actions During Emergency Response

Lecture Notes in Computer Science

2007 | book-chapter

See more

Componentes de percepção em um ambiente cooperativo de desenvolvimento de software na Web

Cientifico

2002 | journal-article

See more

No title available

No journal available

No publication date available

No details available

No title available

No journal available

No publication date available

No details available

No title available

No journal available

No publication date available

No details available
I am a research data scientist developing my PhD thesis at the ALGORITMI Center, University of Minho. My work focuses on creating machine learning and explainable AI (XAI) models for the industrial supply chain in Portugal. As a university professor, I have taught programming logic, data structures, software engineering, decision support systems, databases, and web development for 13 years. In addition, I have mentored countless students in their final projects. In parallel, my IT career has spanned roles as network administrator, software developer, development team coordinator, and software development contract manager at public safety institutions for 23 years. I have participated in important projects such as the creation of corporate intranets, downsizing projects, and the development of various corporate systems. My current research investigates Explainable Artificial Intelligence (XAI), focusing on the development of AI models and explanations. I explore the human aspect of XAI and evaluate its relevance in commercial contexts.
Init End Change Value
Academic Degree
Category
Group IST
Laboratory IDS
Member Type
Institution
Internal Member Type
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Category Other
Group IST
Laboratory IDS
Institution Outra
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Marcelo I. Reis

A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations

Computers in Industry

2025 | journal-article

See more

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 & INDUSTRIAL ENGINEERING

2022 | journal-article

See more

Análise de sentimento de insegurança no Twitter

Escola Regional de Computação Bahia - Alagoas e Sergipe

2018 | conference-paper

See more

Identifying Resilience in Emergency Response Stories

2008 | other

See more

Identifying Resilient Actions in Decision Making During Emergencies

Encyclopedia of Decision Making and Decision Support Technologies

2008 | book-chapter

See more

Recalling Resilient Actions During Emergency Response

Lecture Notes in Computer Science

2007 | book-chapter

See more

Componentes de percepção em um ambiente cooperativo de desenvolvimento de software na Web

Cientifico

2002 | journal-article

See more

No title available

No journal available

No publication date available

No details available

No title available

No journal available

No publication date available

No details available

No title available

No journal available

No publication date available

No details available
I am a research data scientist developing my PhD thesis at the ALGORITMI Center, University of Minho. My work focuses on creating machine learning and explainable AI (XAI) models for the industrial supply chain in Portugal. As a university professor, I have taught programming logic, data structures, software engineering, decision support systems, databases, and web development for 13 years. In addition, I have mentored countless students in their final projects. In parallel, my IT career has spanned roles as network administrator, software developer, development team coordinator, and software development contract manager at public safety institutions for 23 years. I have participated in important projects such as the creation of corporate intranets, downsizing projects, and the development of various corporate systems. My current research investigates Explainable Artificial Intelligence (XAI), focusing on the development of AI models and explanations. I explore the human aspect of XAI and evaluate its relevance in commercial contexts.
Start End Term Value
Academic Degree
Category
Group IST
Laboratory IDS
Member Type
Institution
Internal Member Type
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Category Other
Group IST
Laboratory IDS
Institution Outra
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Marcelo I. Reis
Marcelo Indio dos Reis
Marcelo Indio dos Reis
This user account status is Approved

Centro ALGORITMI is supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding Ref. UIDB/00319/2020, DOI 10.54499/UIDB/00319/2020