Research Output per year
Personal profile
General
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)
Employment
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
PhD
3 Apr 2006 → 30 Jan 2009
MSc
1 Sep 2004 → 26 Mar 2006
BSc
1 Mar 1998 → 30 Jun 2003
External positions
Associate Professor
6 Aug 2018 → 20 Jan 2019Assistant Professor
6 Aug 2010 → 5 Aug 2019Fingerprint 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.
- 1 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2009 2020
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 proceeding › Conference contribution
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. 53-66Research output: Contribution to journal › Article
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 journal › Article
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 journal › Article
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 journal › Article