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Pedro Pereira is a senior researcher in the field of Artificial Intelligence at the CCG/ZGDV Institute and holds the position of Invited Auxiliar Professor at the Department of Information Systems at the University of Minho, where he has been teaching since 2018. He successfully completed his Ph.D. in Technologies and Information Systems at the same university in 2021, specializing in Machine Learning and Evolutionary Computation. Engaged in various Research and Development (R&D) projects since 2017, he has coauthored over a dozen scientific publications presented at international conferences and journals, in addition to contributing to the development of the Python module evoltree. Currently, he also co-supervises master's students in their thesis work and their involvement in R&D projects.
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Identification

Personal identification

Full name
Pedro Pereira

Citation names

  • Pereira, Pedro José
  • Pereira, Pedro

Author identifiers

Ciência ID
861C-FF53-609B
ORCID iD
0000-0002-6169-8778
Google Scholar ID
TUDKBfEAAAAJ
Researcher Id
AAD-4500-2020
Scopus Author Id
56151481600

Email addresses

  • pedro.pereira@dsi.uminho.pt (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

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
2017 - 2021/12
Concluded
 Tecnologia e Sistemas de Informação (Doutoramento)
Major in Sem especialidade
Universidade do Minho, Portugal
"Modern optimization of predictive models: a case study in mobile performance marketing." (THESIS/DISSERTATION)
 Aprovado por unanimidade (distinção "Muito Bom")
2011 - 2016
Concluded
 Engenharia e Gestão de Sistemas de Informação (Mestrado integrado)
Universidade do Minho, Portugal
"Análise e Previsão de Intervalos de Entradas de Clientes num Espaço Comercial utilizando técnicas de Data Mining" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution 		Employer
2022/09 - Current Contracted Researcher (Research) Centro de Computação Gráfica, Portugal
2016/12 - 2022/04 Researcher (Research) Universidade do Minho Centro ALGORITMI, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2022 - Current Invited Assistant Professor (University Teacher) Universidade do Minho Departamento de Sistemas de Informação, Portugal
2018/04 - 2021 Invited Assistant (University Teacher) Universidade do Minho Departamento de Sistemas de Informação, Portugal
Projects

Grant

Designation Funders
2019/12 - 2021/12 Factory of the Future: Smart Manufacturing
POCI-01-0247-FEDER-039479
Research Fellow
Universidade do Minho Centro ALGORITMI, Portugal
Concluded
2016/12 - 2019/11 PROMOS - Previsão e otimização de campanhas publicitárias para dispositivos móveis em modelos de subscrição
NORTE-01-0247-FEDER-017497
Research Fellow
Universidade do Minho Centro ALGORITMI, Portugal
Concluded

Contract

Designation Funders
2023/11 - Current AI-CENTER - The AI-based Connection betweEN businesses over an auTonomous and orchEstRated platform
07/C16-i02/2022.P784
Researcher
Centro de Computação Gráfica, Portugal
Ongoing
2023 - Current Be.Neutral - Agenda de Mobilidade para a Neutralidade Carbónica nas Cidades
RE-C05-i01.01
Researcher
Centro de Computação Gráfica, Portugal
Ongoing
2023 - Current HfPT - Health from Portugal
02-C05-i01.01-2022.PC644937233-00000047
Researcher
Centro de Computação Gráfica, Portugal
Ongoing
2023 - Current TEXP@CT - Pacto de Inovação para a Digitalização do Têxtil e Vestuário
02/C05-i01.01/2022.PC644915249-00000025
Researcher
Centro de Computação Gráfica, Portugal
Ongoing
2023 - Current Aliança para a Transição Energética
02/C05-i01.02/2022.PC644914747-00000023
Researcher
Centro de Computação Gráfica, Portugal
Ongoing
2022 - 2023 City Catalyst - Catalyst for Sustainable Cities
POCI-01-0247-FEDER-046112
Researcher
Centro de Computação Gráfica, Portugal
Concluded
2022 - 2023 aDyTrans - Dynamic Transportations Platform
NORTE 01 0247 FEDER 045174
Researcher
Centro de Computação Gráfica, Portugal
Concluded
2022 - 2023 QOMPASS: Solução de Gestão de Serviços de Atendimento multi-entidade, multi-serviço e multi-idioma
NORTE-01-0247-FEDER-038462
Researcher
Centro de Computação Gráfica, Portugal
Concluded
2022 - 2023 GreenShoes 4.0: Footwear, Leather Goods, Advanced Materials, Equipment and Software Technology
POCI-01-0247-FEDER-046082
Researcher
Centro de Computação Gráfica, Portugal
Concluded
Outputs

Publications

Book
  1. Pereira, P.J.; Costa, N.; Barros, M.; Cortez, P.; Durães, D.; Silva, A.; Machado, J.. A Comparison of Automated Time Series Forecasting Tools for Smart Cities. 2022.
    10.1007/978-3-031-16474-3_45
  2. Silva, S.; Cortez, P.; Mendes, R.; Pereira, P.J.; Matos, L.M.; Garcia, L.. A Categorical Clustering of Publishers for Mobile Performance Marketing. 2019.
    10.1007/978-3-319-94120-2_14
  3. Pereira, P.J.; Pinto, P.; Mendes, R.; Cortez, P.; Moreau, A.. Using Neuroevolution for Predicting Mobile Marketing Conversion. 2019.
    10.1007/978-3-030-30244-3_31
  4. Pereira, P.J.; Cortez, P.; Mendes, R.. Multi-objective learning of neural network time series prediction intervals. 2017.
    10.1007/978-3-319-65340-2_46
  5. Cortez, P.; Matos, L.M.; Pereira, P.J.; Santos, N.; Duque, D.. Forecasting store foot traffic using facial recognition, time series and support vector machines. 2017.
    10.1007/978-3-319-47364-2_26
Book chapter
  1. Pereira, Pedro José. "An Intelligent Decision Support System for Production Planning in Garments Industry". 378-386. Springer International Publishing, 2021.
    10.1007/978-3-030-91608-4_37
  2. Pereira, Pedro José. "Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection". 337-348. Springer International Publishing, 2021.
    10.1007/978-3-030-79150-6_27
  3. Pereira, Pedro José. "A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data". 561-572. Springer International Publishing, 2021.
    10.1007/978-3-030-86230-5_44
Conference paper
  1. Pedro José Pereira; Nuno Costa; Pedro Mestre; Paulo Cortez. "A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities". 2025.
    10.1007/978-3-031-73503-5_12
  2. Hélder Teixeira; Arthur Matta; Andre Pilastri; Luís F. Ferreira; Pedro José Pereira; Carlos A. Gonçalves; Paulo Cortez. "A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models". 2025.
    10.1007/978-3-031-73503-5_13
  3. Pedro José Pereira; Carlos Gonçalves; Lara Nunes; Paulo Cortez; Andre Pilastri. "AI4CITY - An Automated Machine Learning Platform for Smart Cities". 2023.
    10.1145/3555776.3578740
  4. Daniela Soares; Pedro José Pereira; Paulo Cortez; Carlos Gonçalves. "A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities". 2023.
    10.1007/978-3-031-49008-8_25
  5. Carolina Loureiro; Pedro José Pereira; Paulo Cortez; Pedro Guimarães; Carlos Moreira; André Pinho. "Predicting Multiple Domain Queue Waiting Time via Machine Learning". 2023.
    10.1007/978-3-031-36805-9_27
Journal article
  1. Coelho, G.; Matos, L.M.; Pereira, P.J.; Ferreira, A.; Pilastri, A.; Cortez, P.. "Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio". Neural Computing and Applications 34 22 (2022): 19485-19499. http://www.scopus.com/inward/record.url?eid=2-s2.0-85130420162&partnerID=MN8TOARS.
    10.1007/s00521-022-07375-2
  2. Pereira, P.J.; Cortez, P.; Mendes, R.. "Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction". Expert Systems with Applications 168 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85097041616&partnerID=MN8TOARS.
    10.1016/j.eswa.2020.114287
  3. Pereira, Pedro José. "Using Deep Autoencoders for In-vehicle Audio Anomaly Detection". Procedia Computer Science 192 (2021): 298-307. http://dx.doi.org/10.1016/j.procs.2021.08.031.
    10.1016/j.procs.2021.08.031
  4. Cortez, P.; Pereira, P.J.; Mendes, R.. "Multi-step time series prediction intervals using neuroevolution". Neural Computing and Applications 32 13 (2020): 8939-8953. http://www.scopus.com/inward/record.url?eid=2-s2.0-85083387575&partnerID=MN8TOARS.
    10.1007/s00521-019-04387-3

Other

Other output
  1. Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds. 2020. Ribeiro, A.; Matos, L.M.; Pereira, P.J.; Nunes, E.C.; Ferreira, A.L.; Cortez, P.; Pilastri, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095030315&partnerID=MN8TOARS.
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2022 - 2023 Previsão Automatizada de Séries Temporais para Cidades Inteligentes
Co-supervisor
 Mestrado Integrado em Engenharia e Gestão de Sistemas de Informação (Master)
Universidade do Minho Departamento de Sistemas de Informação, Portugal
2022 - 2023 Métodos de Deteção de Anomalias para Smart Cities
Co-supervisor
 Mestrado Integrado em Engenharia e Gestão de Sistemas de Informação (Master)
Universidade do Minho Departamento de Sistemas de Informação, Portugal

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2023 MLOPs on Insurance Premium Prediction
(Thesis) Main arguer
 Rodrigo Miguel Pereira Jesus (Master)
Universidade do Minho Departamento de Sistemas de Informação, Portugal
2022 Desenvolvimento de uma plataforma de Big Data Analytics para desenvolvimento do produto em contexto industrial
(Thesis) Main arguer
 Gonçalo José da Silva Fontes (Master)
Universidade do Minho Departamento de Sistemas de Informação, Portugal
2022 Utilização de Machine Learning para ajuste progressivo de valores de pintura
(Thesis) Main arguer
 Gonçalo André Fonseca Dias (Master)
Universidade do Minho Departamento de Sistemas de Informação, Portugal

Conference scientific committee

Conference name Conference host
2023 - 2023 19th International Conference on Data Science Las Vegas, Nevada, USA

Journal scientific committee

Journal title (ISSN) Publisher
2022 - Current Expert Systems (1468-0394) Wiley (Blackwell Publishing)
2022 - Current IEEE Transactions on Knowledge and Data Engineering (10414347) IEEE
Distinctions

Award

2021 Distinction for the most relevant journal paper, published between July 2020 and June 2021
Universidade do Minho Departamento de Sistemas de Informação, Portugal