Fabio Caraffini
Associate Professor
Swansea, Wales, United Kingdom
Summary
👤
Senior🎓
Top SchoolFabio Caraffini is an Associate Professor of Computer Science at Swansea University with eight years of focused experience in heuristic optimisation, evolutionary computing and computational intelligence. He holds dual PhDs—one in Computer Science and one in Mathematical Information Technology—and combines rigorous theoretical research with practical implementations, including building cost-effective compute clusters for optimisation experiments. A Senior Member of IEEE-CIS, ACM SIGEVO member and Fellow of the Higher Education Academy, he has a strong academic track record spanning teaching algebra, calculus and meta-heuristics to supervising advanced projects. Notably, his work on memetic and evolutionary algorithms blends statistical software development and experimental methodology, reflecting a rare mix of mathematical depth and hands-on systems engineering.
8 years of coding experience
8 years of employment as a software developer
Bachelor Degree in Electronic and Information Engineering, electronic, mathematics, physics, Bachelor Degree in Electronic and Information Engineering, electronic, mathematics, physics at Università degli Studi di PerugiaResearch Assistant, Mathematical Information Technology, Research Assistant, Mathematical Information Technology at University of JyväskyläDoctor of Philosophy (PhD), Mathematical Information Technology, Doctor of Philosophy (PhD), Mathematical Information Technology at Jyväskylän yliopistoDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at De Montfort UniversityNatural Sciences, Natural Sciences at Liceo città di Piero
Italian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
particle-swarm-optimization10
benchmarking10
evolutionary-algorithms10
heuristics10
evolutionary-computation10
Programming languages (1)
Github contributions (5)
facaraff/SOS
Oct 2017 - Apr 2022
The Stochastic Optimisation Software (SOS) is a research-oriented software platform for Metaheuristic Optimisation (Stochastic Optimisation). If you are using SOS, please acknowledge the article "Caraffini, F.; Iacca, G. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms. Mathematics 2020, 8, 785." (https://doi.org/10.3390/math8050785)
Contributions:6 releases, 273 commits, 2 PRs in 4 years 6 months
algorithmic-compositionbenchmark-suitebenchmarkingcomparisonevolution-strategies
facaraff/CS-210-Concurrency
Nov 2022 - Mar 2023
Contributions:44 commits, 46 pushes in 4 months
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