Zakaria Benomar
About Zakaria Benomar
Zakaria Benomar is a Research Fellow currently working at Inria in Paris and has previously held positions at Università degli Studi di Messina and Huawei Technologies. He specializes in cloud computing, IoT, and cyber-physical systems, contributing to projects focused on interoperability and networking for distributed systems.
Work at Inria
Zakaria Benomar has been employed as a Research Fellow at Inria since 2022. In this role, he focuses on advanced research in the field of cloud computing and Internet of Things (IoT). His work involves enhancing interoperability among various IoT middleware protocols, including MQTT, CoAP, and DPWS. This position allows him to contribute to cutting-edge projects and collaborate with other experts in the field.
Education and Expertise
Zakaria Benomar earned his Doctor of Philosophy (PhD) from the University of Messina, specializing in cloud computing, IoT, and cyber-physical systems. His academic journey spanned from 2018 to 2021. This educational background provides him with a solid foundation in the theoretical and practical aspects of his research interests.
Background
Before joining Inria, Zakaria Benomar worked at Università degli Studi di Messina in various capacities. He served as a Teaching Assistant from 2018 to 2022 and as a Research Scholar from 2017 to 2022. His experience at the university involved both teaching and conducting research, contributing to his expertise in the field.
Previous Experience at Huawei Technologies
In 2016, Zakaria Benomar worked at Huawei Technologies for four months, focusing on the end-to-end optimization of Huawei's IPTV solution. This role provided him with practical experience in the telecommunications sector and insights into the optimization of complex systems.
Research Contributions
Zakaria Benomar has contributed to the French project Cloud Platform 4 Smart City (CP4SC), which is led by Atos/Eviden. His work in this project emphasizes the design of systems tailored for IoT use cases. Additionally, he enhances networking for distributed microservices at the edge, utilizing network overlays based on WebRTC peer-to-peer networks.