Mohamed Sami ASSENINE

I'm

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 & Academic MSc 2 in scientific research.

Interests

Reinforcement Learning 80%
Machine & Deep Learning 70%
Data Assimilation 80%
Path planning 85%
Combinatorial Optimization 80%
Gaussian Processes 90%

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


Journals


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

DOI: 10.1109/JIOT.2023.3328242

Teaching


2023-2024


Informatique et Société Numérique (ISN1): IT and digital society, coordinated by Prof. Odyssée MERVEILLE. FIMI department of INSA Lyon, France.

Contact

Location:

Antenne Inria la Doua - Batiment CEI 2

56 Boulevard Niels Bohr

69100 Villeurbanne, France

Call:

+33 (0) 7 45 60 10 66

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