Photo of Felipe Campelo Franca Pinto

Felipe Campelo Franca Pinto

Dr., Ph.D. Systems Science and Informatics, M.Sc. Information Science and Technology, B.Eng. Electrical Engineering

    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

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    Personal profile


    Felipe Campelo is a Lecturer in Computer Science at Aston University, where he is in charge of teaching Data Mining at the undergraduate and graduate levels, as well as Data Science Programming at the graduate-level Rolls Royce Data Science Programme.

    After graduating as an Electrical Engineer from Universidade Federal de Minas Gerais (UFMG, Brazil) in 2003, Felipe received a Monbusho scholarship from the Japanese government to pursue his postgraduate studies in Hokkaido University, Japan, where he received first his M.Sc. (Information Science and Technology, 2006) and then his Ph.D. (Systems Science and Informatics, 2009). He then held a postdoctoral position at UFMG between 2009-10, before joining their Department of Electrical Engineering in August 2010. While at UFMG he supervised over 15 graduate students and acted as deputy head of department between 2013 and 2017.

    More information is available on ResearchGate or in the Lattes Platform (in Portuguese).

    Research Interests

    My current research focuses on the development of integrated solution frameworks for data analytics, seamlessly connecting data mining, statistical modelling, optimisation and multi-criteria decision making.

    I also focus on the development of methodologically and statistically sound protocols for the experimental comparison of algorithms, and with the development of algorithms for robust optimisation, multi/many-objective optimisation, and heavily constrained optimisation.

    I am interested in the applications of data mining, statistical modelling, machine learning and optimisation to the solution of problems from a wide variety of fields. In the past I have worked mainly with applications of electromagnetic design optimisation, reliability modelling and optimisation of electrical power distribution systems, and transportation logistics. More recently I have been investigating and developing applications of machine learning to the analysis of biological sequence data.

    Teaching Activity

    Undergraduate modules:

    • CS3440 / DC3440 - Data Mining

    Graduate Modules:

    • CS4850 - Data Mining
    • DS40DP - Data Science Programming

    Membership of Professional Bodies

    Institute of Electrical and Electronics Engineers (IEEE)

    • Computational Intelligence Society

    Association for Computing Machinery (ACM)

    • Special Interest Group on Genetic and Evolutionary Computation

    Brazilian Society for Computational Intelligence (SBIC/ABRICOM)


    2019 - present: Lecturer in Computer Science, Aston University

    2010 - 2018: Assistant Professor, Department of Electrical Engineering, UFMG, Brazil

    2009 - 2010: Post-doctoral associate, Department of Electrical Engineering, UFMG, Brazil

    Education/Academic qualification


    3 Apr 200630 Jan 2009


    1 Sep 200426 Mar 2006


    1 Mar 199830 Jun 2003

    External positions

    Associate Professor

    6 Aug 201820 Jan 2019

    Assistant Professor

    6 Aug 20105 Aug 2019

    Fingerprint Dive into the research topics where Felipe Campelo Franca Pinto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2009 2020

    • 16 Article
    • 15 Conference contribution
    • 1 Chapter (peer-reviewed)

    Classification of EEG Signals Based on Image Representation of Statistical Features

    Ashford, J., Bird, J., Campelo, F. & Faria, D., 30 Aug 2019, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. Ju, Z., Zhou, D., Gegov, A., Yang, L. & Yang, C. (eds.). Springer, Vol. 1043. p. 449-460 12 p. (Advances in Intelligent Systems and Computing; vol. 1043).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Neural networks
    Image classification

    Multi-objective evolutionary algorithms for the truck dispatch problem in open-pit mining operations

    Alexandre, R. F., Campelo, F. & de Vasconcelos, J. A., 30 Nov 2019, In : Learning and Nonlinear Models. 17, 2, p. 53-66

    Research output: Contribution to journalArticle

    Open pit mining
    Evolutionary algorithms
    Genetic algorithms

    Sample size estimation for power and accuracy in the experimental comparison of algorithms

    Campelo, F. & Takahashi, F., 15 Apr 2019, In : Journal of Heuristics. 25, 2, p. 305-338 34 p.

    Research output: Contribution to journalArticle

    Open Access
    Sample Size
    Statistical property
    Acoustic waves
    Statistical Power
    Optimization Algorithm

    Tuning metaheuristics by sequential optimisation of regression models

    Trindade, Á. & Campelo, F., 1 Dec 2019, In : Applied Soft Computing. 85, 105829.

    Research output: Contribution to journalArticle

    Open Access
    Regression Model

    A passive SPICE model for rectennas

    Campelo, F., Pereira, P., Mori, T., Igarashi, H. & Adriano, R., 1 Jan 2018, In : COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 37, 6, p. 1905-1917 13 p.

    Research output: Contribution to journalArticle

    Networks (circuits)