Z.A. DAHI Website

I am a researcher with interest in the design and the use of classical and quantum optimisation and machine learning techniques for solving real-world issues. I am also a lecturer in computer science teaching quantum artificial intelligence, combinatorics, operations research, complex systems, object-oriented programming, databases and computer networks. As a developer, I create AI-based solutions for smart cities, economic applications, and some other purposes. I like to think of myself as somebody passionate about what he does. I have never been afraid of not knowing something, maybe because it is my excuse to continuously keep learning more 🤓.

February 2024
Our Latest Work Accepted

Together with Prof. Francisco Chicano and Gabriel Luque, our work "An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation" has been accepted in the 27th European Conference on the Applications of Evolutionary and bio-inspired Computation (EoApps).

01/2024: Together with Professors Francisco Chicano, Gabriel Luque and Bilel Derbel, we are organising the second edition of our special session on quantum artificial intelligence, that will take in the IEEE congress on evolutionary computation (CEC) (LINK).
01/2024: Together with Professors Francisco Chicano and Gabriel Luque, we are teaching the second edition of our full course on quantum artificial intelligence in the university of Malaga (LINK).
12/2023: I particpated in the conference Andaluz.IA in Spain where I presented a joint work together with Dr. Enrique Alba entitled: Metaheuristics on quantum computers: Inspiration, simulation and real execution. (LINK)
07/2023: Starting with the 2024 edition, I will be member of the Organising Commitee of Evo* Conference 2024. More especifically, I will be responsible for maintainig the website of the Evo* conference. (LINK)
10/2023: My application to be part of the working group 3 of the COST ACTION CA22137 - Randomised Optimisation Algorithms Research Network (ROAR-NET) has been approved. (LINK)
07/2023: I had the pleasure to follow, within the 20th Advanced Course on Artificial Intelligence (ACAI), TWO 5-days intensive courses on "Large Language Models (LLMs)" including natural language processing pipelines, transformers architectures (and much more!) by Michael Roth (University of Stuttgart), as well as an "Auto Machine Learning (Auto-ML)" course including neural architecture search by Katharina Eggensperger and Marius Lindauer ( University of Tübingen). An excellent opportunity to learn more, discuss in-depth, and think about the future of artificial intelligence!! (LINK).
09/2023: Happy to announce the release of a repository for quantum computer simulators. It is based on our published work with Prof. Enrique Alba, Francisco Chicano, Gabriel Luque and Rodrigo Gil-Merino. It provides an archive keeping track of advances in the field and assisting practitioners in choosing the most convenient simulator. (LINK)

07/2023: I am organizing, together with Prof. Giovanni Acampora and his team from the Physics department “Ettore Pancini” – University of Naples Federico II (Italy), a workshop on Quantum Artificial Intelligence. The workshop will be held on the 27th and 28th of July 2023 in Naples, Italy. It is supported by the Emerging Technology Award of the IEEE Computer Society. (LINK)
5-6/06/2023: A poster of a work of us has been presented at the TAILOR porject conference (Trustworthy AI: Integrating Learning, Optimisation and Reasoning) held at the 5-6 June 2023, Siena, Italy (LINK)
04/2023: Our work "Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities." has been accepted in the International Conference on Optimisation and Learning (OLA) (LINK).
04/2023: Our work "An Efficient QAOA via a Polynomial QPU-Needless Approach" has been accepted in the Genetic and Evolutionary Computation Conference Companion (GECCO). (LINK).
01/2023: Together with Professor Francisco Chicano and Professor Gabriel Luque, we are organising a special session on quantum artificial intelligence, that will take in the IEEE congress on evolutionary computation (CEC) (LINK).
01/2023: Together with Professor Francisco Chicano and Professor Gabriel Luque, we are teaching a full course on quantum artificial intelligence in the university of Malaga (LINK).
05/2022: Me and my research group are part of the documentary made by the University of Malaga on the use of artificial intelligence for smart cities. My intervention is starting from minute 12:55 (LINK).
03/2021: A news paper has published an article about our research for the application of artificial intelligence for solving smart city problems (LINK).

Research Expertise in Quantum/Classical Artificial Intelligence

Optimisation

Machine Learning

Auto-ML/Hyperprameter Tuning

Journals

Zakaria Abdelmoiz Dahi, Enrique Alba, Metaheuristics on quantum computers: inspiration, simulation, and real execution. In: Future Generation Computer Systems Journal, Elsevier. Volume 130, Pages 164–180 (2022), DOI: 10.1016/j.future.2021.12.015. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Enrique Alba, Gabriel Luque, A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks. In: Applied Soft Computing Journal, Elsevier. Volume 116, 107992 (2022), DOI: 10.1016/j.asoc.2021.107992. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Enrique Alba, The grid-to-neighbourhood relationship in cellular GAs: from design to solving complex problems. In: Soft Computing Journal, Springer. Volume 24, number 5, pages 3569– 3589 (2020), DOI: 10.1007/s00500-019-04125-w. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Enrique Alba, Amer Draa, A stop-and-start adaptive cellular genetic algorithm for mobility management of GSM-LTE cellular network users. In: Expert Systems with Applications Journal, Elsevier. Volume 160, pages 290–304 (2018), DOI: 10.1016/j.eswa.2018.02.041. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Chaker Mezioud, Amer Draa, A 0-1 bat algorithm for cellular network optimisation: a systematic study on mapping techniques. In: International Journal of Reasoning based Intelligent Systems, Inderscience. Volume 9, Number 1, pages 22–42 (2017), DOI: 10.1504/IJRIS.2017.10007147. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Chaker Mezioud, Amer Draa, A quantum inspired genetic algorithm for solving the antenna positioning problem. In: Swarm and Evolutionary Computation Journal, Elsevier. Volume 31, pages 24–63 (2016), DOI: 10.1016/j.swevo.2016.06.003. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Chaker Mezioud, Amer Draa, On the efficiency of the binary flower pollination algorithm: application on the antenna positioning problem. In: Applied Soft Computing Journal, Elsevier. Volume 47, pages 395–414 (2016), DOI: 10.1016/j.asoc.2016.05.051 (PDF, Source Code)

Conferences

Zakaria Abdelmoiz Dahi, Francisco Chicano, and Gabriel Luque. An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation. Accepted In: 27th European Conference on the Applications of Evolutionary and bio-inspired Computation (EoApps), Springer. Full bibliographic details will be added once the work is officially published in Springer digital library (2024). (PDF)
Francisco Chicano, Zakaria Dahi, and Gabriel Luque. 2023. An Efficient QAOA via a Polynomial QPU-Needless Approach. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion). Association for Computing Machinery, New York, NY, USA, 2187–2194. https://doi.org/10.1145/3583133.3596409. (PDF)
José Angel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque and Enrique Alba. Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities. In: Proceedings of the International Conference on Optimisation and Learning (OLA), Springer. vol 1824. Springer. Volume 1 (2023) DOI: 10.1007/978-3-031-34020-8_28. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Francisco Chicano , Gabriel Luque , Enrique Alba, Genetic algorithm for qubits initialisation in noisy intermediate-scale quantum machines: the IBM case study. In : Proceedings of the 2022 Genetic and Evolutionary Computation Conference (GECCO), ACM. Pages 1164–1172 (2022), DOI: 10.1145/3512290.3528830. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Gabriel Luque, Enrique Alba, A machine learning-based approach for economics-tailored applications: the spanish case study”. In: Proceedings of the 25 th European Conference on EvoApplications (EvoApps), Springer. Volume 13224, pages 567–583 (2022), DOI: 10.1007/978-3-031-02462-7_36. (PDF, Source Code)
José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba, Optimising communication overhead in federated learning using NSGA-II. In: Proceedings of the 25 th European Con- ference on EvoApplications (EvoApps), Springer. Volume 13224, pages 317–333 (2022), DOI: 10.1007/978-3-031-02462-7_21. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, José Ángel Morell, Models and solvers for coverage optimisation in cellular networks: review and analysis. In: the 9 th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), IEEE. 312–319 (2022), DOI: 10.1109/SETIT54465.2022.9875463. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Enrique Alba, Rodrigo Gil-Merino, Francisco Chicano, Gabriel Luque, A survey on quantum computer simulators. In: Proceedings of the 19 th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), UMA. Pages 941–946 (2021). (PDF)
Rodrigo Gil-Merino, Enrique Alba, Jose Francisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque, Quantum computing: present and prospects. In: Proceedings of the 19 th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), UMA. Pages 947–952, 2021. (PDF)
Zakaria Abdelmoiz Dahi, Chaker Mezioud, Enrique Alba, A novel adaptive genetic algorithm for mobility management in cellular networks”. In: Proceedings of the 11 th International Conference on Hybrid Artificial In- telligent Systems (HAIS), Springer. Pages 225–237 (2016), DOI: 10.1007/978-3-319-32034-2_19. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Mezioud Chaker, Amer Draa, Deterministically adaptive genetic algorithm to solve binary communication problems: application on the error correcting code problem. In: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication (IPAC), ACM. Pages 79:1–79:5 (2015), DOI: 10.1145/2816839.2816843. (PDF)
Zakaria Abdelmoiz Dahi, Chaker Mezioud, Amer Draa, Binary bat algorithm: on the efficiency of mapping functions when handling binary problems using continuous-variable-based metaheuristics. In: Proceed- ings of the 5 th IFIP TC 5 International Conference on Computer Science and Its Applications (CIIA), Springer. Volume 456, pages 3–14 (2015), DOI: 10.1007/978-3-319-19578-0_1. (PDF, Source Code)
Zakaria Abdelmoiz Dahi, Mezioud Chaker, Towards a dynamic based agents architecture for cellular networks optimisation: cell breathing”. In: Proceedings of the 7 th International Conference on Intelligent Robotics and Applications (ICIRA), Springer. Volume 8918, pages 522–534 (2014), DOI: 10.1007/978-3-319-13963-0_53. (PDF)

Research Developments/Contributions

GitHub Repository

Happy to announce the release of a repository for quantum computer simulators. It is based on our published work with Prof. Enrique Alba, Francisco Chicano, Gabriel Luque and Rodrigo Gil-Merino. The goal is to provide an archive keeping track of advances in the field and assisting practitioners in choosing the most convenient simulator. The repository is thought for the community and hopefully will be maintained by the community: Everyone's contributions are welcome to enhance and keep the listing up-to-date. So, please feel free to share the LINK!