Mohamad BADAOUI

Mohamad BADAOUI

PHD Researcher

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  • Timeline

  • About me

    R&D Engineer | Mathematical Optimization & AI | Energy & Cloud Solutions | AWS Certified | Ph.D. in Computer Science

  • Education

    • The Doctoral School of Science and Technology (EDST)

      2011 - 2012
      Master 2 (M2), Discrete mathematics
    • Fitec Formation

      2023 - 2024
      Concepteur Big Data Cloud Très Bien

      ● Intensive training focused on Big Data and cloud technologies. Acquired skills in Agile, DevOps, Spark, Scala, Python, SQL/NoSQL, Scrum, Databricks, GCP Cloud, and AWS Cloud Services.● AWS Solutions Architect – Associate certification.● Project: Developed an ETL Data Pipeline for an online retail company using AWS services (S3, Glue, QuickSight, Lambda, Athena, OpenSearch), demonstrating practical application of learned skills.

    • Université de Caen Normandie

      2015 - 2018
      Doctor of Philosophy - PhD Computer science Very honorable, with committee praise.

      ● Developed innovative combinatorial and algebraic methods for constructing infinite families of expander graphs, including the pioneering construction of semi-regular graph families.● Published several articles in specialized international journals, showcasing groundbreaking results on graph structural properties and spectral hypergraph theory, contributing new insights into the sparsity, regularity, and diameter of graphs defined from groups.● Introduced new classes of integral graphs… Show more ● Developed innovative combinatorial and algebraic methods for constructing infinite families of expander graphs, including the pioneering construction of semi-regular graph families.● Published several articles in specialized international journals, showcasing groundbreaking results on graph structural properties and spectral hypergraph theory, contributing new insights into the sparsity, regularity, and diameter of graphs defined from groups.● Introduced new classes of integral graphs and defined novel graph operations, like the generalized replacement product, enhancing the understanding of Cayley graphs' spectral and structural characteristics.● Proved a sufficient condition for Cayley graphs to be Ramanujan and identified necessary and sufficient conditions for them to be strongly regular. Show less

    • Lebanese University

      2015 - 2018
      Doctor of Philosophy - PhD Applied Mathematics
  • Experience

    • Greyc

      Jan 2015 - Mar 2018
      PHD Researcher

      ● The identification of various combinatorial and algebraic methods for constructing infinite families of expander graphs. This leads to not only construct expander families of d-regular graphs but also the first one of semi-regular graphs.● The construction of several new infinite classes of integral graphs either by computing their spectrum or by using the newly defined graph operations like the generalized replacement product.● A sufficient condition for Cayley graphs to be Ramanujan is proved. Moreover, a necessary and sufficient condition for Cayley graphs to be strongly regular is presented.● Several results concerning spectral hypergraph theory are revealed. These results can be considered as generalizations to their corresponding ones for the case of graphs. Also, the different isomorphic relations between the Cayley graphs and other alternative ones defined from groups are identified.● Many new results concerning the structural properties of certain graphs defined from groups and their graph invariants are revealed, for instance, those regarding the sparsity, the regularity, and the diameter. Show less

    • Université de Caen Normandie

      Jan 2018 - Jun 2018
      Teacher-Researcher Position

      🔹Affiliation🔹Engaged in research within the CoDaG team (Constraints, Data Mining, Graphs) at GREYC laboratory -UMR 6072 CNRS, Caen Normandy University. Supervised 15 undergraduate L2 computer science students in their final annual project.🔹Courses taught🔹● Expression communication, lectures and tutorial classes (12 hours), head of the unit: Bruno Zanuttini.● OOP programming (Java), tutorial classes (48 hours), head of the unit: Yann Mathet.● Practical works through an annual project (Java), in this subject I was responsible for supervising and evaluating undergraduate students in their final project (48 hours), head of the unit: Grégory Bonnet. Show less

    • Université Paris-Est Marne-la-Vallée

      Sept 2019 - Aug 2020
      Teacher-Researcher Position

      🔹Affiliation🔹 Engaged in research within the COMBI team (Combinatorial Algebraic and Symbolic Computation) at Gaspard Monge (LIGM) - UMR 8049 CNRS, Gustave Eiffel University. Contributed to creating and developing Computer Science License courses. 🔹Courses taught🔹● Introduction to C Programming, lectures and tutorial classes (72 hours), head of the unit: Marc Ziptein.● IT systems architecture, tutorial classes (48 hours), head of the unit: Nicolas Borie.● Algorithms of trees, tutorial classes (48 hours), head of the unit: Marc Ziptein.● Algorithms and Programming 1 (Python), tutorial classes (24 hours), head of the unit: Olivier Bouillot. Show less

    • INSA Rouen Normandie

      Aug 2021 - May 2022
      Postdoctoral Researcher

      ● Developed an epidemic model on realistic networks consisting of susceptible and infected individuals and where the geographic coupling is taken into account. The different vaccination strategies are then examined and the optimal one is presented. A scientific article about this subject is submitted to an international journal.● Developing a marine ecosystem model to help study the effects of constructing offshore wind farms in Courseulles-sur-mer, Bay of Seine, English Channel, France. ● Course taught: Combinatorial optimization, tutorial classes TD to the fourth-year Engineer students GM4. Show less

    • LIMENGO Colombelles & INSA Rouen

      May 2022 - Dec 2022
      Research Engineer

      ● Developing a mathematical model for a nursing house EHPAD in Normandy. The goal of the code is to generate an optimized flexible schedule.● Identifying the preferences of the client throughout several meetings. To meet their requirements the developed model has more than 100,000 variables and constraints.● Testing the model using the provided data. Most of the constraints relate to French labor law and improving the comfort of the staff.● As the number of variables is significantly higher than ordinary, also, and some of the constraints are known in the scientific literature to be difficult to model, some advanced analytical techniques and solvers (CPLEX and Gurobi) are employed. Show less

    • Fitec Formation

      Nov 2023 - Feb 2024
      Concepteur Big Data Cloud

      ● AWS Solutions Architect – Associate certification.● Engaged in an intensive, hands-on training program focused on Big Data and cloud computing, achieving a distinction of "Très Bien".● Acquired practical skills in Agile methodologies, DevOps practices, Spark, Scala, Python, SQL/NoSQL databases, Scrum framework, Databricks, GCP Cloud, and AWS Cloud Services.● Led a project to develop an ETL Data Pipeline for an online retail company, leveraging AWS services (S3, Glue, QuickSight, Lambda, Athena, and OpenSearch). Show less

    • Expleo Group

      Nov 2024 - now
      Research And Development Engineer

      ● Developing mathematical optimization models (MILP, network modeling) for wind farm cable routing.● Applying combinatorial optimization techniques to minimize cable costs while ensuring reliability.● Developing and optimizing Django-based web applications for energy infrastructure modeling and data visualization.● Using Python (PuLP, Gurobi, CPLEX) for large-scale energy network problems.● Version control & collaboration with Git, ensuring codebase efficiency and maintainability.● Refining optimization models for real-world industry applications. Show less

  • Licenses & Certifications

    • AWS Certified Solutions Architect – Associate

      Amazon Web Services (AWS)
      Feb 2024
      View certificate certificate