• School of Engineering and Applied Science, Aston University

    B4 7ET Birmingham

    United Kingdom

20072019
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Personal profile

Qualifications

  • PhD in Electrical Engineering, Universidade Federal de Minas Gerais, 2006. 
  • MSc in Pure Mathematics (with distinction), Universidade Federal de Minas Gerais, 2002. 
  • Specialization in Matematics, Universidade Federal de Minas Gerais, 2000.
  • Specialization in Mathematics (Teaching Degree), Pontificia Universidade Catolica de Minas Gerais, 1999.
  • BSc in Mathematics, Universidade Federal de Minas Gerais, 1997. 

General

I joined Aston in 2017, and am a Lecturer in Computer Science. My research is concerned with  population-based multiobjective optimization and matheuristics, multi-criteria decision analysis, mathematical and statistical aspects of optimization theory. I am a member of theAston Lab for Intelligent Collectives Engineering (ALICE).

Previously, I was an Associate Professor at the CEFET-MG (CERCIA) in the Department of Computer Engineering, Belo Horizonte, Brazil. I obtained my Ph.D. at the Universidade Federal de Minas Gerais, on the topic of Local Search operators for Genetic Algorithms based on derivative-free quadratic approximation.  I also hold an MSc in Mathematics from the Universidade Federal de Minas Gerais, and before that, I read for a BSc in Mathematics at the Universidade Federal de Minas Gerais.

Employment

  • 2017 – date: Lecturer in Computer Science, Aston University.
  • 2010 – 2016: Associate Professor at CEFET-MG, Belo Horizonte, Brazil
  • 2006 - 2010: Assistant Professor at the Universidade Federal de Ouro Preto, Ouro Preto, Brazil
  • 2008 - 2009: Visiting Research at the University of Algarve, in the Science and Technology Faculty, Faro, Portugal

Teaching Activity

My teaching includes programming, computational intelligence and mathematics. 

Research Interests

My research is carried out as part of the Aston Lab for Intelligent Collectives Engineering (ALICE, http://alice.aston.ac.uk). I am interested in multiobjective optimization, evolutionary algorithms, experimental assessment of algorithms, dynamical systems, and engineering design optimization.

My work is concerned with both abstract problems as well as applied ones. I have a number of ongoing collaborations with engineers and international universities and have worked on hybrid micro grid systems for generation and distribution of renewable energy sources. 

Education/Academic qualification

FHEA

PhD

MSc

Fingerprint Dive into the research topics where Elizabeth Wanner is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Genetic algorithms Engineering & Materials Science
Particle swarm optimization (PSO) Engineering & Materials Science
Roadsides Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science
Mathematical operators Engineering & Materials Science
Local Search Mathematics
Vehicle routing Engineering & Materials Science
Quadratic Approximation Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

  • 35 Conference contribution
  • 16 Article
  • 2 Chapter
  • 1 Chapter (peer-reviewed)

Accent classification in human speech biometrics for native and non-native english speakers

Bird, J. J., Wanner, E., Ekárt, A. & Faria, D. R., 5 Jun 2019, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM, p. 554-560 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biometrics
Hidden Markov models
Speech recognition
Learning systems
Acoustic waves

A combined optimisation and decision-making approach for battery-supported HMGS

Marcelino, C., Baumann, M., Carvalho, L., Chibeles-Martins, N., Weil, M., Almeida, P. & Wanner, E., 20 Apr 2019, In : Journal of the Operational Research Society.

Research output: Contribution to journalArticle

Decision making
Loss of load probability
Electricity
Lithium batteries
Decision theory

A viability study of renewables and energy storage systems using multicriteria decision making and an evolutionary approach

Marcelino, C. G., Pedreira, C. E., Baumann, M., Weil, M., Almeida, P. E. M. & Wanner, E. F., 3 Feb 2019, Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, Proceedings. Miettinen, K., Mostaghim, S., Klamroth, K., Coello Coello, C. A., Reed, P., Deb, K. & Goodman, E. (eds.). Springer, p. 655-668 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11411 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy Storage
Multicriteria Decision-making
Storage System
Microgrid
Viability

CE+EPSO: a merged approach to solve SCOPF problem

Marcelino, C. G., Pedreira, C., Wanner, E. F., Carvalho, L. M., Miranda, V. & Da Silva, A. L., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, p. 69-70 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optimal Power Flow
Covariance Matrix Adaptation
Cross-entropy
Large-scale Optimization
Evolutionary Optimization

Optimization of a demand responsive transport service using multi-objective evolutionary algorithms

Viana, R. J. S., Santos, A. G., Martins, F. V. C. & Wanner, E. F., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ACM, p. 2064-2067 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-objective Evolutionary Algorithm
Evolutionary algorithms
Vehicle routing
Optimization
Mathematical operators