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).

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.

Undergraduate modules:

• CS3440 / DC3440 - Data Mining

Graduate Modules:

• CS4850 - Data Mining
• DS40DP - Data Science Programming

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

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.