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João A. A. Lopes, Master in Engineering and Management of Information Systems since August 2020. The academic and research path is made in areas such as Machine Learning, Data Engineering and DevOps/MLOps, with focus on eHealth and Medical Informatics. He cooperates with research groups since 2019, which allows him to consolidate knowledge and experience in these areas. Enrolled in the PhD Program in Information Systems and Technologies since September 2020 and apply his knowledge in the Laboratory of Intelligent Data Systems (LASI) at ALGORITMI Research Center, University of Minho. He is an invited assistant professor at the Department of Information Systems, University of Minho, Portugal.
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Identification

Personal identification

Full name
JOÃO ANTÓNIO ARAÚJO LOPES

Citation names

  • LOPES, JOÃO

Author identifiers

Ciência ID
5F12-9743-F077
ORCID iD
0000-0001-7854-8293

Email addresses

  • lopesit@outlook.pt (Professional)

Websites

  • https://www.linkedin.com/in/joãolopesit/ (Professional)

Knowledge fields

  • Engineering and Technology

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2020/09/30 - 2024/07/31
Ongoing
 Information Systems and Technologies (Doutoramento)
Universidade do Minho, Portugal
2015/09/15 - 2020/07/31
Concluded
 Management of Information Systems (Mestrado integrado)
Universidade do Minho, Portugal
"Adaptive Business Intelligence: Modelos de Previsão e Otimização na Área da Saúde" (THESIS/DISSERTATION)
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2022 - Current Invited Assistant Professor (University Teacher) Universidade do Minho, Portugal
Universidade do Minho - Departamento de Sistemas de Informação, Portugal

Others

Category
Host institution 		Employer
2019/07/01 - Current Research Collaborator Researcher Center ALGORITMI, Portugal
Universidade do Minho, Portugal
Projects

Grant

Designation Funders
2022/02/01 - Current Connected Manufacturing - Digital Transformation
UMINHO/BID/2022/10
Researcher
Universidade do Minho, Portugal
Ongoing
2019/08/28 - 2019/12/31 CIPsi Programmatic Funding
CIPSI-BI-NP-2019-02
Research Fellow
Universidade do Minho Centro de Investigação em Psicologia, Portugal
 Fundação para a Ciência e a Tecnologia

Contract

Designation Funders
2021/06/01 - 2021/11/30 Factory of the Future: Smart Manufacturing
FACTORYOFTHEFUTURE/4_52-02/2021
Integration into Research Grant Fellow
BOSCH
Ongoing
Outputs

Publications

Book chapter
  1. Ricardo Duarte; João Lopes; Tiago Guimarães; Susana Ferreira; Manuel Filipe Santos. "Business Intelligence Platform for COVID-19 Monitoring: A Case Study". 2023.
    10.1007/978-3-031-38204-8_4
  2. Diogo Peixoto; Mariana Faria; Rui Macedo; Hugo Peixoto; João Lopes; Agostinho Barbosa; Tiago Guimarães; Manuel Filipe Santos. "Determining Internal Medicine Length of Stay by Means of Predictive Analytics". 171-182. Springer International Publishing, 2022.
    10.1007/978-3-031-16474-3_15
  3. ?ngela Alpoim; João Lopes; Tiago A. Guimar?es; Portela, Filipe; Manuel F. Santos. "A Framework to Evaluate Big Data Fabric Tools". United States, 2020.
    10.4018/978-1-7998-5781-5.ch009
Conference paper
  1. LOPES, JOÃO; Braga, João; Fernandes, Isabel; Santos, Manuel Filipe. "Applying optimization models in the scheduling of medical exams". Paper presented in The International Conference on Emerging Data and Industry 4.0 (EDI40), 2022.
  2. Vaz, Maria João; LOPES, JOÃO; Braga, João; Santos, Manuel Filipe. "Intelligent support for diabetic patient treatment planning". Paper presented in The International Conference on Emerging Data and Industry 4.0 (EDI40), 2022.
  3. LOPES, JOÃO; Braga, João; Santos, Manuel Filipe. "An ABI platform and its contributions as a support in the evolution to Hospital 4.0". Paper presented in The International Conference on Emerging Data and Industry 4.0 (EDI40), 2021.
    Published
  4. Sousa, Ana; LOPES, JOÃO; Santos, Manuel Filipe. "mHealth: Monitoring Platform for Diabetes Patients". Paper presented in The International Conference on Emerging Data and Industry 4.0 (EDI40), 2021.
    Published
  5. LOPES, JOÃO; Guimarães, Tiago; Santos, Manuel Filipe. "Adaptive Business Intelligence: A New Architectural Approach". Paper presented in The International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), 2020.
    Published
  6. LOPES, JOÃO; Guimarães, Tiago; Santos, Manuel Filipe. "Predictive and Prescriptive Analytics in Healthcare: A Survey". Paper presented in The International Conference on Emerging Data and Industry 4.0 (EDI40), 2020.
    Published
Journal article
  1. João Lopes; Marcelo Dionisio; Mariana Faria; Manuel Filipe Santos. "Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review". PLOS ONE (2024): https://doi.org/10.1371/journal.pone.0302697.
    10.1371/journal.pone.0302697
  2. João Lopes Sr; Tiago Guimarães; Júlio Duarte; Manuel Santos. "Enhancing Surgery Scheduling with Artificial Intelligence: A Study on Metaheuristic Optimisation Models in Healthcare Settings (Preprint)". JMIR Medical Informatics (2024): https://doi.org/10.2196/57231.
    10.2196/57231
  3. Rui Macedo; Agostinho Barbosa; João Lopes; Manuel Santos. "Intelligent Decision Support in Beds Management and Hospital Planning". Procedia Computer Science 210 (2022): 260-264. http://dx.doi.org/10.1016/j.procs.2022.10.147.
    10.1016/j.procs.2022.10.147
  4. Mariana Faria; Agostinho Barbosa; Tiago Guimarães; João Lopes; Manuel Santos; Diogo Peixoto; Hugo Peixoto. "Predictive analytics for hospital discharge flow determination". Procedia Computer Science 210 (2022): 248-253. http://dx.doi.org/10.1016/j.procs.2022.10.145.
    10.1016/j.procs.2022.10.145
Thesis / Dissertation
  1. LOPES, JOÃO. "Adaptive Business Intelligence: Modelos de Previsão e Otimização na Área da Saúde". 2020.