Bio
- I am a PhD Student at INSA Lyon within the INRIA Agora team of the CITI Lab.
- I start my thesis on October 1st of 2022.
- Thesis topic: Reinforcement learning for the optimization of mobility in wireless sensor networks.
- I work under the supervision of Dr. Walid BECHKIT and Prof. Hervé RIVANO.
- I graduate from the École nationale Supérieure d'Infomatique of Algiers in July 2022.
- Degrees: IT Engineer & Master 2 in academic research.
Interests
Resume
Projects
FAT32 File System Simulator
O6/2020 - 07/2020
A FAT32 file system manager for Linux Ubuntu programmed using C.
Installation of a VPN / MPLS under the GNS3 tool on Cisco equipment
02/2021 - 03/2021
Creation of a Linux distribution
O3/2021 - 06/2021
Creation of a custom and lightweight educational Linux distribution based on Debian and named HIKARI.
Information system to fight against the spread of Covid-19
O4/2020 - 07/2020
iCure: a mobile application intended for healthcare workers, its main objective is the collection of information and the reporting of new cases of a disease.
Memory Management Simulator
O2/2019 - 06/2019
MMSim (Memory Management Simulator) is a web application that simulates some techniques of central memory management by a multitask operating system (pagination, address translation...).
Achievements
Top 9% in the Kick Start Google's Coding Competition
Kickstart 2020 Round E
Top 10% in the Hash code Google's Coding Competition
HashCode 2020
Certificats
Fundamentals of Reinforcement Learning (University of Alberta, Canada)
10/2021 - Present
URL: https://coursera.org/share/997d22dc022e9c06ca90af9e386b9bd0
CCNA3: Enterprise Networking, Security, and Automation
10/2021 - Present
Dynamic Routing - NAT - QoS - Wide Area Networks - Security Threat Mitigation - Network Automation Basics - Virtualization.
Certificate of Completion: Huawei Seeds for the Future Schedule
09/2021 - Present
Training on: IoT, 5G networks, Cloud Computing and Artificial Intelligence. Tech4Good: International Hackathon.
International CyberSecurity Institute - CNSS Network security specialist
07/2020 - Present
ID Certificate: 20803179
Publications
Journal papers
Cooperative Deep Reinforcement Learning for Dynamic Pollution Plume Monitoring using a Drone Fleet
Authors: M. S. Assenine, W. Bechkit, I. Mokhtari, H. Rivano, and K. Benatchba
IEEE Internet of Things Journal, October 2023
Conference papers
Informative and Communication-Efficient Multi-Agent Path Planning for Pollution Plume Monitoring
Authors: M. S. Assenine, W. Bechkit, and H. Rivano
WoWMoM 2024-25th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, June 2024, Perth, Australia
Other
Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation
Authors: I. Mokhtari, W. Bechkit, M. S. Assenine, and H. Rivano
arXiv preprint arXiv:2407.12539, July 2024
Teaching
2023-2024
Informatique et Société Numérique (ISN1): IT and digital society, coordinated by Prof. Odyssée MERVEILLE. 1st-year FIMI department of INSA Lyon, France.
Informatique et Société Numérique (ISN2): IT and digital society, coordinated by Prof. Mathieu CUNCHE. 1st-year FIMI department of INSA Lyon, France.
Parcours Pluridisciplinaires d’Initiation à l'Ingénierie (P2I-2): Wireless Networks for Data Sensors, coordinated by Prof. Walid BECHKIT. 2nd-year FIMI department of INSA Lyon, France.
2024-2025
Performance des Réseaux (PRF): Network performance, coordinated by Prof. Walid BECHKIT. 4th-year TC department of INSA Lyon, France.
Contact
Location:
Antenne Inria la Doua - Batiment CEI 2
56 Boulevard Niels Bohr
69621 Villeurbanne, France
Email:
mohamed-sami.assenine@insa-lyon.fr
mohamed-sami.assenine@inria.fr
Call:
+33 (0) 7 45 60 10 66