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Miguel Guimarães completed his Bachelor's and Master's Degrees in Computer Science in 2022 at the School of Management and Technology, of the Polytechnic of Porto. His master's work was developed in the field of Machine Learning (ML). Specifically, he addresses the issue of explainability in ML and explores meta-learning as a way to address some of the current challenges of ML, namely with streaming data. Currently, he is an Invited Assistant Professor at the same institution. He has a strong passion for research, having participated as a Research Fellow in 3 projects. Miguel is the author of several publications in the fields of machine learning and hybrid systems. Published 5 articles in journals, 6 book chapters, 3 conference papers and received 2 best paper awards. Also, he won a research grant at INESC TEC to work on the development and application of artificial intelligence techniques in the industrial environment, thus gaining knowledge in a work context, reconciling academic theory with practical experience. Recently, he has been investigating the application and drawbacks of Generative AI (GAI) models in the industry. Specifically, he focuses in having a human-centric vision and organization context, incorporating socio-technical factors into the GAI lifecycle, in order to adapt the model's output to the specific context. He hopes this will encourage a wider adoption of GAI like Large Language Models (LLMs) in industrial environments.
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Identification

Personal identification

Full name
Miguel Ângelo Machado Guimarães

Citation names

  • GUIMARÃES, MIGUEL
  • Miguel Guimarães
  • Guimarães, Miguel
  • Miguel, Guimarães
  • M. Guimarães
  • G. Miguel
  • Miguel G.

Author identifiers

Ciência ID
D31F-856F-7DB1
ORCID iD
0000-0003-0573-9122
AuthenticusID
R-00K-P1B
Google Scholar ID
H843DVEAAAAJ
Researcher Id
HSF-0139-2023
Scopus Author Id
57219162006

Email addresses

  • mam@estg.ipp.pt (Professional)
  • miguel.a.guimaraes@inesctec.pt (Professional)

Telephones

Mobile phone
  • 960145997 (Personal)

Addresses

  • Rua das Macieiras nº1426, 4600-595, Fregim, Amarante, Portugal (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Intermediate (B1) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2) Upper intermediate (B2)
Education
Degree Classification
2020/10/01 - 2022/12/07
Concluded
 Engenharia Informática (Mestrado)
Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestão, Portugal
"A bundle of services to develop better Machine Learning applications" (THESIS/DISSERTATION)
 18
2017/10/01 - 2020/07/31
Concluded
 Engenharia Informática (Licenciatura)
Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestão, Portugal
 15
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2022/10/01 - Current Invited Assistant (Polytechnic Teacher) Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestão, Portugal
Projects

Contract

Designation Funders
2022/09/01 - 2023/02/28 Continuously Evolving Distributed Ensembles
EXPL/CCI-COM/0706/2021
Research Fellow
Instituto Politécnico do Porto Centro de Inovação e Investigação em Ciências Empresariais e Sistemas de Informação, Portugal

Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestão, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2019/07/07 - 2022/05/20 Intelligent Digital Audit Knowledge Base Engine
C30/2017/39900
Research Fellow
Instituto Politécnico do Porto Centro de Inovação e Investigação em Ciências Empresariais e Sistemas de Informação, Portugal
 Agência Nacional de Inovação SA
Concluded
Outputs

Publications

Book chapter
  1. Guilherme Palumbo; Miguel Guimarães; Davide Carneiro; Paulo Novais; Victor Alves. "Real-Time Algorithm Recommendation Using Meta-Learning". 2023.
    Published • 10.1007/978-3-031-22356-3_24
  2. Miguel Guimarães; Filipe Oliveira; Davide Carneiro; Paulo Novais. "The Impact of Data Selection Strategies on Distributed Model Performance". 2023.
    10.1007/978-3-031-43461-7_16
  3. Carneiro, Davide; Sousa, Miguel; Palumbo, Guilherme; Guimarães, Miguel; Carvalho, Mariana; Novais, Paulo. "Continuously Learning from User Feedback". In Lecture Notes in Networks and Systems, 579-588. Springer International Publishing, 2022.
    Published • 10.1007/978-3-031-04826-5_57
  4. Rosa, Luís; Guimarães, Miguel; Carneiro, Davide; Silva, Fábio; Analide, César. "Explainable Decision Tree on Smart Human Mobility". In Workshops at 18th International Conference on Intelligent Environments (IE2022). IOS Press, 2022.
    Published • 10.3233/aise220059
  5. Carneiro, Davide; Guimarães, Miguel; Sousa, Miguel. "Optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection". In Advances in Intelligent Systems and Computing, 124-133. Springer International Publishing, 2021.
    Published • 10.1007/978-3-030-73050-5_13
  6. Carneiro, Davide; Guimarães, Miguel; Carvalho, Mariana; Novais, Paulo. "Optimizing Model Training in Interactive Learning Scenarios". In Trends and Applications in Information Systems and Technologies, 156-165. Springer International Publishing, 2021.
    Published • 10.1007/978-3-030-72657-7_15
  7. Carneiro, Davide; Silva, Fábio; GUIMARÃES, MIGUEL; Sousa, Daniel; Novais, Paulo. "Explainable Intelligent Environments". In Ambient Intelligence – Software and Applications, 34-43. Springer International Publishing, 2020.
    Published • 10.1007/978-3-030-58356-9_4
Conference paper
  1. Guimaraes, Miguel; Carneiro, Davide. "A Meta-Learning Approach to Error Prediction". Paper presented in 16th Iberian Conference on Information Systems and Technologies (CISTI), Chaves, Portugal, 2021.
    Published • 10.23919/cisti52073.2021.9476516
  2. Carneiro, Davide; GUIMARÃES, MIGUEL; Veloso, Patrícia; Batista, Joana; Sousa, Miguel. "A Conversational Interface for interacting with Machine Learning models". 2021.
    Published
  3. Carneiro, D; Veloso, P; Guimarães, M; Baptista, J; Sousa, M. "A Conversational Interface for interacting with Machine Learning models". 2021.
  4. GUIMARÃES, MIGUEL; Bessa, Rui; Ribeiro, José. "Super Mario Bros e a sua Inteligência Artificial". Paper presented in Simpósio de Engenharia Informática, Porto, 2019.
    Published
Journal article
  1. Miguel Guimarães; Davide Carneiro; Guilherme Palumbo; Filipe Oliveira; Óscar Oliveira; Victor Alves; Paulo Novais. "Predicting Model Training Time to Optimize Distributed Machine Learning Applications". Electronics (2023): https://doi.org/10.3390/electronics12040871.
    Published • 10.3390/electronics12040871
  2. Palumbo, Guilherme; Carneiro, Davide; Guimares, Miguel; Alves, Victor; Novais, Paulo. "Algorithm Recommendation and Performance Prediction Using Meta-Learning". International Journal of Neural Systems 33 03 (2023): http://dx.doi.org/10.1142/s0129065723500119.
    Published • 10.1142/s0129065723500119
  3. Borges, Ana; Carvalho, Mariana; Maia, Miguel; Guimarães, Miguel; Carneiro, Davide. "Predicting and explaining absenteeism risk in hospital patients before and during COVID-19". Socio-Economic Planning Sciences (2023): 101549. http://dx.doi.org/10.1016/j.seps.2023.101549.
    Published • 10.1016/j.seps.2023.101549
  4. Davide Carneiro; Miguel Guimarães; Mariana Carvalho; Paulo Novais. "Using meta-learning to predict performance metrics in machine learning problems". Expert Systems (2023): https://doi.org/10.1111/exsy.12900.
    Published • 10.1111/exsy.12900
  5. Davide Carneiro; Miguel Guimarães; Fábio Silva; Paulo Novais. "A predictive and user-centric approach to Machine Learning in data streaming scenarios". Neurocomputing (2021): https://doi.org/10.1016/j.neucom.2021.07.100.
    Published • 10.1016/j.neucom.2021.07.100
Preprint
  1. Oliveira, F; Carneiro, D; Guimaraes, M; Oliveira, O; Novais, P. "Block size, parallelism and predictive performance: finding the sweet spot in distributed learning". 2023. https://www.authenticus.pt/P-00Y-K0Q.
    10.1080/17445760.2023.2225854
Thesis / Dissertation
  1. "A bundle of services to develop better Machine Learning applications". Master, Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestão, 2022. http://hdl.handle.net/10400.22/22510.
Activities

Conference scientific committee

Conference name Conference host
2023/05/08 - 2023/05/08 13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning Mis4tel
Distinctions

Award

2022 Best Paper in ESTG Masters
Instituto Politecnico do Porto Escola Superior de Tecnologia e Gestão, Portugal

Instituto Politécnico do Porto Centro de Inovação e Investigação em Ciências Empresariais e Sistemas de Informação, Portugal
2022 Eletronics Journal MDPI Best Paper
Università degli Studi dell'Aquila, Italy