Ayoub Hammal

Computer Science/Artificial Intelligence student, looking for PhD opportunities.

Contact

  • <first name><family name><at>gmail<dot>com
  • My github

Education

  • Master 1 in Artificial Intelligence 2022 - to this day
    Paris-Saclay University. Valedictorian, Excellence honors.
  • Master 1 in Intelligent Computer Systems 2021 - 2022
    USTHB, Algiers. Valedictorian, Very Good honors.
  • Bachelor’s degree in Computer Science 2018 - 2021
    USTHB, Algiers. Valedictorian, Excellence honors.
  • Baccalaureate 2017 - 2018
    Mathematics option. Very Good honors.

Publications

  • Ayoub Hammal, Mehdi Lerari, Khaled Zeraoulia and Youcef Hammal. "An efficient resource allocation technique in Fog Environment", to appear in Springer Proceedings LNNS 646 (Lecture Notes in Networks and Systems) of ISDA 2022: 22nd International Conference on Intelligent Systems Design and Applications (Online), Seattle, WA, United States, December 12-14, 2022.
  • Khaled Zeraoulia, Ayoub Hammal, Mehdi Lerari and Youcef Hammal. "Stable Matching based Resource Allocation for Large-Scale Fog Computing", accepted on 03 April 2023 to appear in the International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM - https://www.mirlabs.net/ijcisim/).

Academic Experience

  • Research Internship at ISIR, Sorbonne, Paris: Supervised and semi-supervised sequence-to-sequence models for structured prediction. 2024
    Supervised and semi-supervised sequence-to-sequence models for structured prediction.
    • Development of locally and globally normalized models for named-entity recognition task.
  • Research Work: Literature review on the mechanism of attention 2023
    Survey paper soon to be submitted for publication. I was interested mainly in:
    • The different approaches in the literature for modeling the soft/hard argmax operators intervening on the attention scores.
    • The different probing and analysis methods of trained attention-based networks, including its explainability and the linguistic features they entailed.
  • Research Internship at INRAE, AgroParisTech: Construction of a named-entities recognition system for out-of-vocabulary entities 2023
    • Implementation of state of the art NER models based on CLNER paper.
    • Proposal of an improved framework using enriched LLM-generated contexts.
  • Research Internship at INRAE, AgroParisTech: Enrich dietary data to make informed recommendations 2023
    • Construction of knowledge base around food consumption habits based on INCA2 survey.
    • Elaboration of a filtering system to validate food recommendations based on user profiles.
  • Research Internship at LISN, Paris Saclay: Study of generalization bound of loss functions and their consistency 2023
    • Study of generalization error of loss function and their different bounds.
    • Study of the Fisher Consistency property of loss functions.
    • Proposal of a new multiclass SVM loss function, and study of its Fisher Consistency property.
  • Research Internship at Laboratoire des Systèmes Informatiques (LSI), USTHB, Algiers: Design and implementation of a resource allocation technique for an IoT-Fog/Edge Computing environment 2021
    • I designed a resource allocation technique and algorithm for serving requests generated by IoT devices in a Fog/Edge Computing environment.
    • Then, I implemented and validated the technique in a simulation environment called IFogSim.
    • The algorithm is based on Gale-Shapley Matching algorithm, which I exploited and adapted to deploy requested services on heterogeneous Fog Nodes.

Scholarships

  • Eiffel Excellence scholarship 2022
    For the Artificial Intelligence Master of the University of Paris-Saclay.