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/AM40DP - Data Science Programming

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 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

• Requested: £249,999; Granted: £390,000
• PI: Prof. Simon Green, Prof. Patricia Thornley
• Role: Lead for the Machine Learning Server (~£55k). Co-writing of proposal/case for support.

InnovateUK / KTP (12031) - Smart Apprentices Ltd (2020-2022)

• Requested: £189,951 Granted: £189,951
• PI: Dr. Felipe Campelo
• Role: Original project idea, engagement with company, proposal writing. Project coordination, main supervision of research associate.
• Collaborators: Dr. Anikó Ekárt

InnovateUK / KTP (12026) - Arcus FM (2020-2022)

• Requested: £218,026 Granted: £218,026
• PI: Dr. Randa Herzallah
• Role: Lead on optimisation modelling and solution strategy.
• Other collaborators: Dr. Anikó Ekárt

InnovateUK / KTP (12334) - Evolyst Ltd. - Granted August 2020

• Requested: £196,599 Granted: £196,599
• PI: Dr. Chris Buckingham
• Role: Lead on machine learning and prescriptive analytics. Co-writing of proposal.
• Other collaborators: Dr. Luis Manso

Current (Under Review)

• Project: Cyber-Physical Care Programme (CP2) for supporting vulnerable adults in the community
• Requested: £149,709
• PI: Dr. Chris Buckingham
• Role: Machine learning specialist.
• Other Collaborators: Dr. Ulysses Bernardet

Past Funding (as PI or Co-I)

Eletrobras/CERON, Brazil - R&D Funding Program (2016-2018)

• Granted: ~£250k (1.2M BRL)
• Project: Development of an Integrated Fault Management System for CERON’s Power 
Distribution Grid
• PI: Dr. Eduardo Carrano, UFMG/Brazil
• Role: Co-I. Co-writing of application. Development of fault isolation module; Supervision of development and testing of optimisation models.

CEMIG-D, Brazil - R&D Funding Program (2012-2016)

• Granted: ~£800k (4.24M BRL)
• Project: Strategic Asset Management System for CEMIG-D
• PI: Dr. Eduardo Carrano, UFMG/Brazil
• Role: Co-I. Co-writing of application. Design, implementation and testing of statistical modelling modules.

CNPq and FAPEMIG, Brazil - General Funding calls (2011-2019)

• Total Granted: ~£30k (165k BRL) (excl. salaries and studentships)
• Role: PI of several projects approved and executed between 2011 and 2019.

JSPS/Japan and CAPES/ Brazil – Bilateral Collaborations Fund (2013-2015)

• Granted: ~£35k (5M JPY)
• Project: Modelling and optimisation of wireless sensor antennas for harvesting environmental microwave radiation.
• PI: Prof. Hajime Igarashi, Hokkaido University; Prof. Jaime Ramírez, UFMG.
• Role: Co-I. Co-writing of application. Design of optimisation approaches.

CAPES and FAPEMIG/Brazil - Graduate Student Funding (2012-2018)

• Total granted: ~£100k (584k BRL)
• Full stipend funding for 4 PhD students (4 years each) and 4 MSc Research students (2 years each) obtained via the Studentship Funding Track of UFMG’s Graduate Program in Electrical Engineering.
• Role: project supervisor.

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: Associate 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.

Debjani Goswami (Electrical and Power Engineering. Est grad.: 2023): Design, Modelling and Simulation of Switched and Synchronous Reluctance Electric Motors for Electric Vehicles. Role: Associate Supervisor (starting Jan 2021)

Said Salehi (Electrical and Power Engineering. Est grad.: 2023): Optimisation of Rotor Geometry in Electrical Motors for Electric Vehicles. Role: Associate Supervisor (starting Jan 2021)

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

• OSE Awards 2019: Best R&D Project and Best Project Overall in the Brazilian electrical sector. Project: Development of an Integrated Fault Management System for CERON’s Power Distribution Grid. Belo Horizonte, Brazil, 2019
• Best Paper Award on the Symposium of the Japanese Society of Evolutionary Computation. Paper: Understanding Multi-objective Evolutionary Algorithms through Component Oriented Design. Kyoto, Japan, 2017.
• Best Paper Award on the 14th Brazilian Meeting on Artificial and Computational Intelligence. Paper: A Preference-guided Multi-objective Evolutionary Algorithm based on Decomposition. Uberlândia, Brazil, 2017.
• Best Paper Award on the 2nd IEEE Latin American Congress on Evolutionary Computation. Paper: Towards Statistical Convergence Criteria for Mutation-Based Evolutionary Algorithms. Curitiba, Brazil, 2015.
• Best Student Paper Award on the 2011 IEEE Congress on Evolutionary Computation. Paper: A Comparison of Dominance Criteria in Many-Objective Optimisation Problems. New Orleans, USA, 2011.
• Best Poster Award on the 2008 IEEE Conference on Electromagnetic Field Computation. Paper: Hybrid Estimation of Distribution Algorithm Using Local Function Approximations. Athens, Greece, 2008.

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):

• BSc Systems Engineering, UFMG: 2016, 2018
• BSc Aerospace Engineering, UFMG: 2014
• BSc Electrical Engineering, UFMG: 2012

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

• Deputy Head, Department of Computer Science (since Sep 2020)
• Member, Computer Science Management Team (since Sep 2020)
• Head for Engagement and Progression (since Sep 2019)

UFMG, Brazil (selected)

• Vice-Head of Department (peer-elected, 2013-15 and 2015-17)
• President, Electrical Engineering Teaching Activities Committee (2011-2018)
• Member, Department Management Team (peer-elected, 2013-2019)
• Member, Systems Eng. Programme Design and Assessment Committee (2012-2018)
• Member, Grad. Programme Electrical Engineering Management Team (2014-2018)
• University Research Integrity Committee (2014-2015)
• Permanent staff hiring committees (2013, 2014, 2016, 2018)

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

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

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)