Fabio Caraffini Fabio Caraffini is a lecturer in Computer Science at De Montfort University (DMU). He is an engineer in electronics (BSc, University of Perugia 2008) and Telecommunications (MSc, University of Perugia 2011) and a Dr in Computer Science (De Montfort University, 2014) and also in Mathematical Information Technology (University of Jyväskylä, 2016). Fabio is a Fellow of the Higher Education Academy and an active researcher in the field of Metaheuristic Optimisation. He is a member of the IEEE Computational Intelligence Society since 2012.
Contact details Address: Faculty/department: Office: Phone: email: Research group:
De Montfort University, The Gateway, Leicester, LE1 9BH, UK Faculty of Technology, School of computer Science and Informatics GH 4.60a 0044 (0)7510756625
[email protected] Centre for Computational Intelligence (CCI)
Work Experience and internships Current
VC2020 Lecturer at De Montfort University
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(faculty of Technology, School of Computer Science and informatics)
Apr-Jul 202016
Co-investigator of 3D TUNE-IN (HORIZON 2020 European project)
Oct 2013-Mar 2015
Part-time Lecturer at De Montfort University
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(faculty of Technology, School of Computer Science and informatics)
Jan-Jul 2014
Frontrunner at De Montfort University (faculty of Technology, School of Computer Science and informatics) Project title: “Multimedia processing and computing”
May-Aug 2012
Frontrunner at De Montfort University (faculty of Technology, School of Computer Science and informatics) Project title: “Hearing aids evaluation”
May-Sept 2011
Research assistant at University of Jyväskylä (faculty of Information Technology, department of Mathematical Information Technology, research group in Computational Intelligence Optimisation) Research area: memory-saving real-time optimisation for embedded systems.
May-Sept 2008
Internship at University of Perugia, faculty of Engineering, department of Electronic and Information Engineering, DSP Laboratory. Achievements: Development of an Inertial Measurement Unit for a Laser Profilometer.
Education October 2016
PhD in Computing and Mathematical Sciences, University of Jyväskylä, Finland
(2012-2016)
Thesis: “Algorithmic issues in computational intelligence optimization: from design to implementation, | Download thesis | from implementation to design”
June 2014
PhD in Computer Science, De Montfort University, Leicester, UK
(2012-2014)
Noveber 2011 (2008-2011)
Noveber 2011 (2008-2011)
Thesis: “Novel Memetic Computing Structures for Continuous Optimisation”
| Download thesis |
MSc in Telecommunication Engineering, University of Perugia, Italy Thesis: “Real-Time Memory-Saving Optimisation Algorithms for Embedded Robotic Applications”
BSc in Electronics Engineering, University of Perugia, Italy Thesis: “Study and Development of Techniques for Acquisition, Communication and Filtering on Inertial Measurement Units”
Certificates and recognitions May 2015 October 2016 October 2016
Certificate in Research Supervision (CSR 1,2 and 3) Post Graduate Certificate in Higher Education (PGCertHE) Fellow of the Higher Eduction Academy (FHEA)
Memberships 2012-2014 2015-onward
IEEE student member IEEE Computational Intelligence Society member
Grants Jan-June 2015 Jan-June 2012
Jyväskylä Grant for Computing and Mathematical Sciences [10250 EUR] Jyväskylä Grant for Computing and Mathematical Sciences [10250 EUR]
Awards and funds May-Sep 2011 Jul 2012-Jun 2014 April 2013 April 2013
TUCEP Fund for International Internships [2500 EUR] PhD bursary (De Montfort university) [26000 GBP] Laxton Bequest and Consolidated Travel Funds (DMU) [800 GBP] IEEE CIS Student Travel Grant 2013 [500 USD]
PhD students • current supervisions Mr Talib Zaid Mazyoud Alshehh Mr Raymond Moodley
2nd supervisor 2nd supervisor
(data mining/optimisation) (big data/prediction)
Professional Activities • Co-chair of the IEEE Workshop on Memetic Computing at Symposium Series on Computational Intelligence 2014 (SSCI2014). • Program Committee of - IEEE Congress on Evolutionary Computation 2015 (CEC2015); - IEEE Congress on Evolutionary Computation (CEC) 2013/2014/2015; - International Conference on Swarm, Evolutionary, and Memetic Computing 2013 (SEMCCO 2013). • Technical peer reviewer for - International Journal of Neural Systems, IOS Press; - Integrated Computer-Aided Engineering, IOS Press; - Computer-Aided Civil and Infrastructure Engineering, IOS Press; - IEEE Transaction on Cybernetics, Springer; - Soft Information Sciences, Elsevier; - Soft Computing, Springer; - Applied Mathematics and Computation, Elsevier; - Robotics and Computer Integrated Manufacturing, Elsevier.
Languages Italian: English:
Mother tongue Working language
Computer Skills Programming languages: Development environments and IDEs Mark-up and Modelling languages Operating Systems
Java, Bash scripting, intermediate knowledge of Python and C++/C. Eclipse, Geany, TeXMaker, Kile, VI, Matlab, Simulink, Stateflow. LATEX, Tikz main GNU/Linux distributions, MAC OS X, Windows.
List of publications Journal publications [J1] J. Cheng, G. Zhang, F. Caraffini, and F. Neri. Multicriteria adaptive differential evolution for global numerical optimization. Integrated Computer-Aided Engineering, 22(2):103–107, 2015 [J2] A. Kononova, D. W. Corne, P. De Wilde, V. Shneer, and F. Caraffini. Structural bias in population-based algorithms. Information Sciences, 298:468–490, 2015 [J3] I. Poikolainen, F. Neri, and F. Caraffini. Cluster-based population initialization for differential evolution frameworks. Information Sciences, 297:216–235, 2015 [J4] F. Caraffini, F. Neri, and L. Picinali. An analysis on separability for memetic computing automatic design. Information Sciences, 265(0):1 – 22, 2014 [J5] G. Iacca, F. Caraffini, and F. Neri. Multi-strategy coevolving aging particle optimization. International Journal of Neural Systems, 24(01):1450008, 2014 [J6] F. Caraffini, F. Neri, B. N Passow, and G. Iacca. Re-sampled inheritance search: High performance despite the simplicity. Soft Computing, pages 1–22, 2013 [J7] I. Poikolainen, G. Iacca, F. Caraffini, and F. Neri. Focusing the search: a progressively shrinking memetic computing framework. International Journal of Innovative Computing and Applications, 5:127–142, 2013 [J8] G. Iacca, F. Caraffini, and F. Neri. Memory-saving memetic computing for path-following mobile robots. Applied Soft Computing, 13(4):2003 – 2016, 2013 [J9] F. Caraffini, F. Neri, G. Iacca, and A. Mol. Parallel memetic structures. Information Sciences, 227(0):60 – 82, 2013 [J10] Giovanni Iacca, Fabio Caraffini, and Ferrante Neri. Compact differential evolution light: high performance despite limited memory requirement and modest computational overhead. Journal of Computer Science and Technology, 27(5):1056–1076, 2012
Conference proceedings [C1] Giovanni Iacca, Fabio Caraffini, and Ferrante Neri. Continuous parameter pools in ensemble differential evolution. In Computational Intelligence, 2015 IEEE Symposium Series on, pages 1529–1536. IEEE, 2015 [C2] M. G. Epitropakis, F. Caraffini, F. Neri, and E. Burke. Separability prototype for automatic memes with adaptive operator selection. In IEEE Symposium Series on Computational Intelligence, Workshop on Memetic Computing, pages 70–77. IEEE, 2014
[C3] G. Iacca, F. Neri, F. Caraffini, and PN Suganthan. A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms, pages 615–626. Springer Berlin Heidelberg, Berlin, Heidelberg, 2014 [C4] F. Caraffini, G. Iacca, F. Neri, L. Picinali, and E. Mininno. A cma-es super-fit scheme for the re-sampled inheritance search. In Evolutionary Computation (CEC), 2013 IEEE Congress on, pages 1123–1130, June 2013 [C5] G. Iacca, F. Caraffini, F. Neri, and E. Mininno. Single particle algorithms for continuous optimization. In Evolutionary Computation (CEC), 2013 IEEE Congress on, pages 1610–1617, June 2013 [C6] F. Caraffini, F. Neri, G. Zhang J. Cheng, L. Picinali, and E. Mininno G. Iacca. Super-fit multicriteria adaptive differential evolution. In Evolutionary Computation (CEC), 2013 IEEE Congress on, pages 1678–1685, June 2013 [C7] F. Caraffini, F. Neri, M. Gongora, and B. Passow. Re-sampling search: A seriously simple memetic approach with a high performance. In IEEE Symposium Series on Computational Intelligence, Workshop on Memetic Computing, pages 52–59, April 2013 [C8] F. Caraffini, F. Neri, and I. Poikolainen. Micro-differential evolution with extra moves along the axes. In IEEE Symposium Series on Computational Intelligence, Symposium on Differential Evolution, pages 46–53, April 2013 [C9] F. Caraffini, G. Iacca, F. Neri, and E. Mininno. Three variants of three stage optimal memetic exploration for handling non-separable fitness landscapes. In Proceedings of the UK Workshop on Computational Intelligence. IEEE, September 2012 [C10] F. Caraffini, G. Iacca, F. Neri, and E. Mininno. The importance of being structured: a comparative study on multi stage memetic approaches. In Proceedings of the UK Workshop on Computational Intelligence. IEEE, September 2012 [C11] F. Neri, M. Weber, F. Caraffini, and I. Poikolainen. Meta-lamarckian learning in three stage optimal memetic exploration. In Proceedings of the UK Workshop on Computational Intelligence. IEEE, September 2012 [C12] I. Poikolainen, F. Caraffini, F. Neri, and M. Weber. Handling non-separability in three stage memetic exploration. In Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications, pages 195–205, May 2012 [C13] G. Iacca, F. Caraffini, F. Neri, and E. Mininno. Robot base disturbance optimization with compact differential evolution light. In EvoApplications, pages 285–294, April 2012
Selected forums where I have published - International Journal of Neural Systems (Impact Factor: 6.056, Rank: 3/121) - Integrated Computer-Aided Engineering (Impact Factor: 4.667, Rank: 6/121) - Information Sciences (Impact factor: 3.969, Rank: 8/135) - Applied Soft Computing (Impact Factor: 2.970, Rank: 20/121) - Soft Computing (Impact Factor: 1.304, Rank: 59/121) - Journal of Computer Science and Technology (Impact Factor: 0.642, Rank 78/105)
Teaching activity at De Montfort University
Module code IMAT1203∗ IMAT5232∗ IMAT2800 IMAT3452
Current modules (∗ = module leadership) Level Title 4 Mathematical Methods (Calculus 1) 7 Computational Intelligence Optimisation 5 Mechanics and Artificial Intelligence for Simulation 6 Computing projects Past teaching
Module code IMAT1203 IMAT1204 IMAT2800 IMAT2605 IMAT1204 IMAT1901 IMAT5314
Level 4 4 5 5 4 4 7
Title Mathematical Methods and Models Foundations and Algebra Artificial Intelligence and Modelling for Games C++ for Games Programmers Business and Decision Making Quantitative Methods Project/Dissertation
