Hayfa Tayeb
About Hayfa Tayeb
Hayfa Tayeb is a PhD student and researcher at Inria in Strasbourg, France, specializing in optimizing high-performance applications on heterogeneous computing nodes. She has a background in computer software engineering and experience in programming languages such as C/C++, Python, and Java.
Work at Inria
Hayfa Tayeb has been working at Inria as a Researcher PhD Student since 2021. Her role is based in Strasbourg, Grand Est, France. She is engaged in research that focuses on optimizing high-performance applications on heterogeneous computing nodes. Prior to her current position, she worked as a Research Intern at Inria in high-performance computing for six months in 2021.
Education and Expertise
Hayfa Tayeb is pursuing a PhD in Computer Software Engineering at Université de Bordeaux, with an expected completion in 2024. She also holds a Master's Degree in IoT and Data Processing from Tunisia Polytechnic School, which she completed in 2021. Her educational background includes an Engineer's degree in Computer Software Engineering from the National Institute of Applied Science and Technology, achieved in 2021, and a Baccalauréat of Mathematics from Ibn Abi Dhief Manouba, completed in 2016. She possesses expertise in programming languages such as C/C++, Python, and Java.
Previous Work Experience
Before her current role at Inria, Hayfa Tayeb gained practical experience through various internships. She worked as a Software Engineer Intern at WEVIOO for two months in 2020. Additionally, she completed a summer internship at Altran in 2019 for one month. Her early experience includes a research internship at Inria in high-performance computing in 2021, where she contributed to projects related to her field of study.
Research Focus and Projects
Hayfa Tayeb's research is centered on optimizing high-performance applications on heterogeneous computing nodes. As part of her academic work, she explored various aspects of computer science, including compilation and vectorization, during a final study project with the CAMUS Inria team. This project reflects her commitment to advancing knowledge in high-performance computing.