Feda Almuhisen
About Feda Almuhisen
Feda Almuhisen is an educator currently serving as an Enseignante at Aix Marseille Université, where she has taught advanced courses in data science since 2019. She has a background in data science, having worked at Traxens and Aix Marseille Université, and holds multiple degrees in computer science from institutions in Jordan and France.
Current Role at Aix-Marseille University
Feda Almuhisen currently serves as an Enseignante at Aix-Marseille University, a position she has held since 2019. In this role, she is involved in the Département informatique and the Département géographie, aménagement, environnement. Her responsibilities include teaching advanced courses at the Master's level, such as 'DataViz', 'Data Analysis', and 'Machine Learning Operations'.
Previous Experience at Traxens
Prior to her current role, Feda Almuhisen worked as a Data Scientist at Traxens from 2019 to 2022. During her three years at the company, based in Marseille, she focused on applying machine learning algorithms to analyze real industrial data. This experience contributed to her expertise in data science and its practical applications.
Academic Background
Feda Almuhisen has a solid academic foundation in computer science. She obtained her Licence (BSc.) from the Université des sciences et technologies de Jordanie (JUST) from 2000 to 2004. She furthered her education with a Master's degree in Systèmes d'Information from the Université de Jordanie, completed between 2012 and 2014. She earned her Doctorat en Informatique (Sciences de données) from the Laboratoire d’Informatique et Systèmes (LIS), Aix-Marseille University, from 2015 to 2018.
Research Contributions
Feda Almuhisen has conducted research focusing on the application of data science in Smart City and Smart Containers projects. Her work in these areas highlights her commitment to advancing the field of data science and its relevance to contemporary urban and industrial challenges.
Teaching Experience
With a focus on higher education, Feda Almuhisen has extensive teaching experience in advanced data science topics. She has taught courses such as 'DataViz', 'Data Analysis', and 'Machine Learning Operations' at the Master's level, equipping students with essential skills in data visualization and machine learning.