Photo of Felipe Campelo

Felipe Campelo

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

    Accepting PhD Students

    PhD projects

    I am currently interested in recruiting PhD students for projects related to machine learning approaches for epitope prediction and their application to vaccine and diagnostic test development.


    Research output per year

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    Personal profile


    Felipe Campelo is a Lecturer in Computer Science at Aston University, where he currently teaches Data Mining and Data Science Programming.

    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 postgraduate 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

    Dr. Campelo's current research focuses on the development of integrated solution frameworks for data analytics, seamlessly connecting data mining, statistical modelling, multi-objective optimisation and decision making for the solution of a variety of problems in science and engineering. These include applications in areas as diverse as optimisation of electromagnetic devices, reliability modelling and optimisation of electrical power distribution systems, transportation logistics, and the analysis and modelling of biological sequence and signals data. He is also involved with the development of methodologically and statistically sound protocols for the experimental comparison of optimisation and machine learning algorithms.


    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

    Foundation for Open Access Statistics (FOAS)

    Brazilian Society for Computational Intelligence (SBIC/ABRICOM)



    2019 - present: Lecturer in Computer Science, Aston University

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

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

    PhD Supervision

    Possible research topics for PhD supervision include:

    • Machine learning approaches for epitope prediction and their application to vaccine and diagnostic test development
    • Statistical approaches for performance assessment and comparison of machine learning and optimisation algorithms
    • Computational Intelligence methods for optimisation, including: algorithms for single and multi-objective optimisation, robust optimisation, constrain handling, applications.
    • Development of integrated solution / prescriptive analytics pipelines involving data consolidation, statistical modelling and machine learning, optimisation and multi-criteria decision support.

    Education/Academic qualification


    Award Date: 12 May 2020


    3 Apr 200630 Jan 2009

    Award Date: 26 Mar 2009


    1 Sep 200426 Mar 2006

    Award Date: 26 Mar 2006


    1 Mar 199830 Jun 2003

    Award Date: 4 Aug 2003

    External positions

    Associate Professor

    6 Aug 201820 Jan 2019

    Assistant Professor

    6 Aug 20105 Aug 2019


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