Rihab Gorsane
About Rihab Gorsane
Rihab Gorsane is a Team Lead at InstaDeep Ltd, where she has worked since 2018, contributing to AI research and logistics solutions. She has a background in computer science and engineering, with teaching experience at local universities and notable contributions to the field of machine learning.
Current Role at InstaDeep
Rihab Gorsane currently serves as a Team Lead at InstaDeep Ltd, a position she has held since 2021. In this role, she oversees projects related to artificial intelligence and machine learning, specifically focusing on applying heuristic techniques to logistics problems. Gorsane has been with InstaDeep since 2018, initially joining as a Deep Neuroevolution Research Intern for four months before transitioning to her current role.
Teaching Experience and Instructional Roles
Gorsane has extensive teaching experience, having worked as a Deep Reinforcement Learning and Optimization Instructor at ENSI - Ecole Nationale des Sciences de l'Informatique from 2021 to 2022. She has also served as a mentor for Udacity, where she guided students in Deep Reinforcement Learning from 2019 to 2020. Additionally, she has taught at various local universities in Tunisia, contributing to the education of future professionals in the field.
Educational Background
Rihab Gorsane holds a Master's degree in Computer Science from ENSI - Ecole Nationale des Sciences de l'Informatique, where she studied from 2015 to 2018. Prior to this, she studied Physics-Chemistry at IPEIS from 2013 to 2015. She is also pursuing further education in Deep Reinforcement Learning through a Nanodegree program at Udacity, which she has been enrolled in since 2018.
Research Contributions and Achievements
Gorsane has made significant contributions to the field of artificial intelligence, particularly in reinforcement learning. She has been involved in AI research presented at the NeurIPS conference and has co-authored papers for the AAAI workshop. Notably, she became the first African female lead author on a paper accepted at NeurIPS. Her research includes work on cooperative multi-agent reinforcement learning (MARL) and quantifying individual agent importance in MARL.
Previous Work Experience
Before her current role, Gorsane gained experience through various internships. She worked as a Software Engineering Intern at EURA NOVA for one month in 2017 and as an intern at IntilaQ Tunisia for three months in 2016. Her early career also included a brief internship at InstaDeep as a Deep Neuroevolution Research Intern in 2018, where she began her journey in AI research.