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Takfarinas Saber

Academic

University of Galway

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

2024

Farayola MMayowa, Bendechache M, Saber T, Connolly R, Tal I. 2024. Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models. Proceedings of the 19th International Conference on Availability, Reliability and Security.

Chadli K, Botterweck G, Saber T. 2024. The Environmental Cost of Engineering Machine Learning-Enabled Systems: A Mapping Study. Proceedings of the 4th Workshop on Machine Learning and Systems.

Zhang Z, Saber T. 2024. Assessing the Code Clone Detection Capability of Large Language Models.

Tao N, Ventresque A, Nallur V, Saber T. 2024. Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming. Algorithms. 17:287.

2023

Farayola MMayowa, Tal I, Malika B, Saber T, Connolly R. 2023. Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques. Proceedings of the 18th International Conference on Availability, Reliability and Security.

Tao N, Ventresque A, Saber T. 2023. Program Synthesis with Generative Pre-trained Transformers and Grammar-Guided Genetic Programming Grammar. 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Farayola M, Tal I, Connolly R, Saber T, Bendechache M. 2023. Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review. Information. 14:426.

De Lombaerde P, Naeher D, Vo H, Saber T. 2023. Regional Economic Integration and Machine Learning: Policy Insights from the Review of Literature. Journal of Policy Modeling. 45

Kumar T, Turab M, Mileo A, Bendechache M, Saber T. 2023. AudRandAug: Random Image Augmentations for Audio Classification.

2022

Tao N, Ventresque A, Saber T. 2022. Multi-objective Grammar-guided Genetic Programming with Code Similarity Measurement for Program Synthesis.