Research output per year
Research output per year
Senior Fellow of AdvanceHE/HEA, 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
Possible research topics for PhD supervision include:
- Machine learning approaches for bioinformatics, particularly focused on epitope prediction (e.g., in the context of neglected and emerging diseases)
- Computational approaches to investigate, select and optimise phage treatments against antibiotic-resistant bacteria.
- Statistical approaches for performance assessment and comparison of machine learning and optimisation algorithms.
- Computational Intelligence methods for single and multi-objective optimisation, robust optimisation, constrain handling, applications.
Felipe Campelo is a Senior Lecturer and Deputy Head of Computer Science at Aston University.
After graduating as an Electrical Engineer from Universidade Federal de Minas Gerais (UFMG, Brazil) in 2003, Felipe received the prestigious MEXT (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 returned to Brazil for a postdoctoral research post at UFMG in 2009 and joined UFMG's Department of Electrical Engineering in August 2010 as an Assistant Professor in Optimisation and Computational Intelligence. While at UFMG he supervised over 15 postgraduate research students and acted as deputy head of department between 2013 and 2017. He joined Aston University in 2019, and has since been working with applications of optimisation and data science to bioinformatics, as well as other areas of science and engineering. Felipe has been actively involved with the teaching of Data Mining and Data Science to both undergraduate and postgraduate students, and leads the research on machine learning approaches to bioinformatics in the Computer Science department.
More information is available on ResearchGate or Google Scholar.
Dr. Campelo's current research focuses on the development of integrated solution frameworks for prescriptive data analysis, connecting data visualisation, consolidation and pre-processing, modelling, optimisation and decision support for the solution of a variety of problems in science and engineering, with a particular focus towards applications in biology/bioinformatics. He is also involved with the development of methodologically and statistically sound protocols for the experimental comparison of algorithms.
Undergraduate modules:
Graduate Modules:
Institute of Electrical and Electronics Engineers (IEEE) - since 2004
Computational Intelligence Society
Association for Computing Machinery (ACM) - since 2013
Special Interest Group on Genetic and Evolutionary Computation
Foundation for Open Access Statistics (FOAS) - since 2019
2019 - present: Lecturer/Senior 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
Current (granted)
EPSRC Core Equipment (EP/V036106/1) - Granted October 2020
InnovateUK / KTP (12334) - Evolyst Ltd. - 2021-2023
Current (Under Review)
Past Funding (as PI or Co-I)
InnovateUK / KTP (12031) - Smart Apprentices Ltd (2020-2022)
InnovateUK / KTP (12026) - Arcus FM (2020-2022)
Eletrobras/CERON, Brazil - R&D Funding Program (2016-2018)
CEMIG-D, Brazil - R&D Funding Program (2012-2016)
CNPq and FAPEMIG, Brazil - General Funding calls (2011-2019)
JSPS/Japan and CAPES/ Brazil – Bilateral Collaborations Fund (2013-2015)
CAPES and FAPEMIG/Brazil - Graduate Student Funding (2012-2018)
PhD Students (Current, Aston)
Jomar Alcantara (Computer Science. Est. grad.: 2021): Using Language as an Indicator of Cognitive Decline in Pre-Clinical Alzheimer’s Disease. Role: Main supervisor.
Jodie Ashford (Computer Science. Est. grad.: 2022): Machine Learning Methods for Linear B-Cell Epitope Prediction. Role: Main supervisor.
Michael Pritchard (Computer Science. Est. grad.: 2022): Using Data from Motor Cortex to Enable a Multimodal Approach to Upper-Limb Prosthesis Control. Role: Associate supervisor.
Tasmia Azim (Civil Engineering. Est. grad.: 2023): Artificial Intelligence for integrated management of linear highway assets. Role: Associate Supervisor.
PhD Students (Current, external)
Igor Lobo (UFMG/Brazil, PhD Genetics): Applications of machine learning to reverse vaccinology: prediction and validation of vaccine candidates based on parasite genomic data. Role: Advisory committee member (machine learning, data visualization); host of exchange student (Feb - Aug 2021, funded by Capes/Brazil).
Reem Abukmeil (Dalhousie University/Canada, PhD Engineering): Machine Learning Approaches for Image-based Nutrient Deficiency Sensing. Role: Advisory committee member (data preprocessing and visualisation, statistical modelling, machine learning)
PhD Students (Past)
Athila Trindade (UFMG, 2019): A New SMBO-Based Parameter Tuning Framework for Optimisation Algorithms. Role: Main supervisor.
Fernanda Takahashi (UFMG, 2018): Sample Size Estimation for Power and Accuracy in the Experimental Comparison of Meta-heuristics. Role: Main supervisor
André Maravilha (UFMG, 2018): Development of Matheuristics for MIP Problems with Binary Variables. Role: Main supervisor.
Fillipe Goulart (UFMG, 2018): Preference-guided Optimisation for the Load Restoration Problem. Role: Main supervisor.
André L. Silva (UFMG, 2016): Modelling and Optimisation of Vehicle Routing and Loading Problem with Multiple Stacks. Role: Main supervisor.
Rafael F. Alexandre (UFMG, 2015): Dynamic Dispatch of a Heterogenous Fleet of Trucks in Open-pit Mining Operations Using Evolutionary Multi-objective Optimisation.
Role: Associate supervisor.
Other Research Students (past)
UFMG, MSc Electrical Engineering (2-year combined taught + research degree): main supervisor of 8 students between 2011 and 2019 (https://ppgee.ufmg.br/bancodefesasi.php)
Research and industry awards
Teaching and Supervision awards
Distinguished Professor (distinction that each class of graduates confers upon the member of the teaching staff that they considered the most influential or inspirational over their entire degree):
Best 2018-19 MSc Computer Science (Supervisor), Aston University. Student: Jodie Ashford. Project: Real Time Classification of EEG Signals from MUSE Headband.
Best 2018 PhD thesis (Supervisor), Graduate Program in Electrical Engineering, UFMG. Student: Fillipe Goulart. Project: Permutation-based Optimisation for the Load Restoration Problem with Improved Time Estimation of Manoeuvres.
Top 3 PhD Theses in Computational Intelligence 2018-19 (Supervisor), Brazilian Congress on Computational Intelligence 2019. Student: Fillipe Goulart. Thesis: Permutation-based Optimisation for the Load Restoration Problem with Improved Time Estimation of Manoeuvres.
Top 3 MSc Dissertations in Computational Intelligence 2014-15 (Supervisor), Brazilian Congress on Computational Intelligence 2015. Student: Fillipe Goulart. Thesis: Preference-guided Evolutionary Algorithms for Optimization with Many Objectives.
Aston University, UK
UFMG, Brazil (selected)
Organisation of major conferences
IEEE Congress on Evolutionary Computation, Glasgow, 2020.
Role: Chair, Multi-Objective Optimization and Applications Session.
IEEE World Congress on Computational Intelligence, Rio de Janeiro, 2018.
Role: Social Media Chair; Local Organising Committee.
Intl. Conference on Evolutionary Multi-criterion Optimisation, Ouro Preto, Brazil, 2011.
Role: Local Organising Committee
Invited Talks and presentations
LIFELIKE workshop, Prague, Czechia, 2022. Keynote Talk: Sharks, Zombies and Volleyball - lessons from the Evolutionary Computation Bestiary.
Computational Intelligence for Massive Optimisation Workshop, Lille, France, 2019. Sample Size Calculations for the Experimental Comparison of Algorithms.
Evolutionary Computation in Practice Workshop, Genetic and Evolutionary Computation Conference, Denver, USA, 2016: Evolutionary Algorithms for Aeronautical Optimisation.
Latin American School of Computational Intelligence, Curitiba, Brazil, 2015. Design of Experiments and Statistical Comparison of Evolutionary Algorithms.
5th International Meeting on Speech Sciences, Belo Horizonte, Brazil, 2015. Design and Analysis of Experiments.
Presentations at International Events
EvoStar (2022)
ACM Genetic and Evolutionary Computation Conference (2017, 2016, 2014)
Latin American Congress on Computational Intelligence (2015)
BRICS Countries Congress on Computational Intelligence (2013)
Intl. Conf. Evolutionary Multi-criterion Optimisation (2011, 2007)
IEEE Congress on Evolutionary Computation (2010, 2006)
IEEE Conf. Computation of Electromagnetic Fields (2009, 2007, 2005)
Iberian-Latin American Congress on Comp. Methods in Engineering (2009, 2003)
IEEE Conf. Soft Computing in Industrial Applications (2008)
IEEE Conf. Electromagnetic Fields Computation (2008)
Intl. Symposium on Applied Electromagnetics and Mechanics (2007)
IGTE Symposium (2006)
Workshop on Optimisation and Inverse Problems in Electromagnetism (2006)
SFHEA, Senior Fellow of AdvanceHE/HEA, AdvanceHE
Award Date: 12 May 2020
Data Science Specialisation, Johns Hopkins University / Coursera
7 Dec 2014 → 2 Dec 2015
Award Date: 2 Dec 2015
PhD, Evolutionary Design of Electromagnetic Systems using Topology and Parameter Optimization.
3 Apr 2006 → 30 Jan 2009
Award Date: 26 Mar 2009
MSc, Immune Algorithms for Optimization of Electromagnetic Systems
1 Sept 2004 → 26 Mar 2006
Award Date: 26 Mar 2006
BSc, Electrical Engineering
1 Mar 1998 → 30 Jun 2003
Award Date: 4 Aug 2003
Adjunct of the Faculty of Graduate Studies
1 Jan 2021 → 30 Jun 2026
Associate Professor
6 Aug 2018 → 20 Jan 2019
Assistant Professor
6 Aug 2010 → 5 Aug 2019
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Letter, comment/opinion or interview
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Goulart, Fillipe (Recipient) & Campelo, Felipe (Recipient), 2019
Prize: Prize (including medals and awards)
Carrano, Eduardo G. (Recipient), Campelo, Felipe (Recipient), Batista, Lucas S. (Recipient) & Takahashi, Ricardo (Recipient), 2019
Prize: Prize (including medals and awards)
Felipe Campelo (Speaker)
Activity: Talk or presentation types › Invited talk
Felipe Campelo (Speaker)
Activity: Talk or presentation types › Invited talk
Felipe Campelo Franca Pinto (Speaker)
Activity: Talk or presentation types › Invited talk
Felipe Campelo Franca Pinto (Participant)
Activity: Participating in or organising an event types › Participation in conference
Felipe Campelo Franca Pinto (Editorial board member)
Activity: Peer-review and editorial work types › Publication peer-review