Header

Ali El Hadi Ismail Fawaz

About

Download CV pdf

Keywords:

Contact


Some news

     

    Bio


    Skills

      Education

        Experience

          Responsibilities

            Research


            Projects and collaborations

            Ongoing:

              Students supervision

              Current PhD students:
                Master students:
                  Graduated:
                     

                    Reviewer

                    You can find all the peer-reviews information on my WebOfScience account

                      Activities


                      With Aeon-Toolkit

                        aeon is an open-source Python package for time series machine learning. The project provides tools and frameworks for building, evaluating, and deploying time series models efficiently. Constantly contributing to the distances module, transformation module with faster implementations bug fixing, testing, documentation and notebooks.
                    • Maintainer:

                      • Mentoring with aeon:

                      • As part of the Google Summer of Code (GSoC) program under the affiliation of NumFOCUS
                        • Tutorial / Demo:

                          • Certificats

                              Awards

                                Presentations


                                Tutorials

                                  Invited

                                    Visitors

                                      Publications


                                      Articles on arxiv


                                      Articles in International Journals


                                      Communications in International Conferences and Workshops

                                      Communications in National Conferences and Workshops

                                      Portfolio


                                      During my acedamic career and research work, I worked on some projects conerning machine learning and deep learning on signals and time series.