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Takfarinas Saber

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Takfarinas Saber's picture
University of Galway

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I am a Lecturer/Assistant Professor in the School of Computer Science at University of Galway. I am also a Funded-Investigator in Lero, the Science Foundation Ireland Research Centre for Software.

My area of expertise is in the optimisation of Complex Software Systems such as Cloud Computing, Distributed Systems, and Wireless Communication Networks. I design and apply novel Artificial Intelligence techniques from Operations Research, Machine Learning, and Evolutionary Computation/Learning to advance the Engineering and Testing of such systems and enhance their Performance and Trustworthiness.

Previously, I have held the position of Lecturer/Assistant Professor at both the School of Computer Science, University College Dublin (UCD) and the School of Computing, Dublin City University (DCU). I have also held a Post-doctoral Researcher position at the Natural Computing Research & Applications Group located in Michael Smurfit Graduate Business School, UCD.

I obtained my PhD in Computer Science in 2017 from UCD, Ireland. My PhD topic is Multi-objective Optimisation of Large-Scale Data Centres: I designed multi-objective meta-heuristics to satisfy complex requirements of capital allocators when deploying their software on Data Centres.

I obtained my BSc in Computer Science in 2011 and my MSc in Computer Science, track: Optimisation In Operations Research in 2013 from the University of Nantes, France.

  • Publications
2020
Saber T, Capatina L, Ventresque A.  2020.  Analysis of Urban Traffic Incidents Through Road Network Features. 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).
Saber T, Wang S.  2020.  Evolving Better Rerouting Surrogate Travel Costs with Grammar-Guided Genetic Programming. IEEE Congress on Evolutionary Computation (CEC) .
Saber T, Lynch D, Fagan D, Kucera S, Claussen H, O'Neill M.  2020.  Hierarchical Grammar-Guided Genetic Programming Techniques for Scheduling in Heterogeneous Networks. IEEE Congress on Evolutionary Computation .
Saber T, Brevet D, Botterweck G, Ventresque A.  2020.  MILPIBEA: Algorithm for Multi-objective Features Selection in (Evolving) Software Product Lines. Evolutionary Computation in Combinatorial Optimization.
Bendechache M, Saber T, Muntean G-M, Tal I.  2020.  Application of Blockchain Technology to 5G-Enabled Vehicular Networks: Survey and Future Directions.
2019
Saber T, Fagan D, Lynch D, Kucera S, Claussen H, O'Neill M.  2019.  A Multi-Level Grammar Approach to Grammar-Guided Genetic Programming: The case of Scheduling in Heterogeneous Networks. Genetic Programming and Evolvable Machines.
Lynch D, Saber T, Kucera S, Claussen H, O'Neill M.  2019.  Evolutionary learning of link allocation algorithms for 5G heterogeneous wireless communications networks.
Saber T, Gandibleux X, O'Neill M, Murphy L, Ventresque A.  2019.  A comparative study of multi-objective machine reassignment algorithms for data centres . Journal of Heuristics.
Delavernhe F, Saber T, Papadakis M, Ventresque A.  2019.  A Hybrid Algorithm for Multi-objective Test Case Selection in Regression Testing . IEEE CONGRESS ON EVOLUTIONARY COMPUTATION.
2018
Saber T, Fagan D, Lynch D, Kucera S, Claussen H, O'Neill M.  2018.  Multi-level Grammar Genetic Programming for Scheduling in Heterogeneous Networks. Genetic Programming.

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