MO RINGBE SAYNBE

PhD Student
Villeneuve-d'Ascq
Villeneuve-d'Ascq
Lille
06 05 60 85 23
I am a PhD student at Inria - Lille Nord Europe, FUN team, and I am working under the direction of Nathalie Mitton and Carol Habib on the theme "Design of smart IoT networks supporting sustainable manufacturing processes in Industry 4.0". I obtained my master's degree from the Faculty of Sciences of the University of Ngaoundéré, specializing in "Software systems in distributed environments", in 2024.
Education
PhD
Since January 2025
INRIA Nord Europe
Master 2 in Computer Science
From October 2023 to October 2024
University Of Ngaoundere Ngaoundéré, AD, Cameroon
Bachelor in Computer Science
From October 2021 to July 2022
University of Ngaoundere Ngaoundéré, AD, Cameroon
Baccalauréat ESG T.I
From September 2018 to July 2019
Ngaoundéré government high school Ngaoundéré, l’Adamaoua
Scientific Publications

international conferences

  • [MRD2024] : Mo Ringbe Saynbe, Rémy Maxime Mbala, Damien Wohwe Sambo, Paul Dayang, Edmond-Prosper Souapiebe, “Wireless Sensor Networks for Precision Agriculture: Data Collection in Greenhouses”

    in Proceedings - the 9th EAI International Conference on Green Energy and Networking (GreeNets 2024), (Nov. 22–23, 2024), Douala, Cameroon, 2024.

  • [ERDPM2024] : Edmond-Prosper Souapiebe, Rémy Maxime Mbala, Damien Wohwe Sambo, Paul Dayang, Mo Ringbe Saynbe, “Deployment of a LoRa-based network to monitor an agricultural area using buried sensor nodes”

    in Proceedings - the 9th EAI International Conference on Green Energy and Networking (GreeNets 2024), (Nov. 22–23, 2024), Douala, Cameroon, 2024.

Certifications
Programming for the Internet of Things Project
From February 2024 to July 2024
COURSERA / University of California, Irvine online

8JAP9DKDTZ9Y

Introduction to the Internet of Things and Embedded Systems
From February 2024 to May 2024
COURSERA /University of California, Irvine online

5R594UHXZP49

Languages
French
English
Assets
Rigor at work
Team spirit and leadership
Ability to work under pressure
Adapt quickly
Ponctualité
Discipline
References
Nathalie MITTON
Professor, INRIA Nord Europe
nathalie.mitton@inria.fr / +33 3 59 57 78 46
Carol HABIB
Associate Professor, INRIA Nord Europe
carol.habib@inria.fr
Damien WOHWE SAMBO
Associate Professor, IMT Nord Europe
damien.wohwe-sambo@imt-nord-europe.fr
Social networks
@saynbe-mo-ringbe
@Saynbemorinbewang2
@SAYNBE Mo Ringbe Franck
Certifications
Python for Data Science
From November 2022 to May 2023
Sololearn online

CT-3X5PRV3M

Work experience
Data Analyst and Web Designer (Independent)
From January 2023 to September 2024
DKPB-Learning Sarl Ngaoundéré, Adamaoua, Cameroun

  • Analysis of company data and for private structure

  • Website designs and developments

DATA CLERK and Peer Educators (Volunteer)
From July 2022 to September 2022
GTR-SIDA ADAMAOUA Ngaoundéré, Adamaoua, Ngaoundéré

  • HIV/AIDS Testing Data Capture

IT Intern
From August 2018 to May 2019
Hôpital protestant de Ngaoundéré Ngaoundéré, Adamaoua, Cameroun

  • Contribution to the implementation of a medical journal management application

  • Application software maintenance

  • LAN, MAN and WAN network setup

Animation of the CARGO DES VACANCIERS program
From July 2017 to September 2017
CRTV Adamaoua Ngaoundéré, Adamaoua, Cameroun
Skills
Design of IoT systems

  • Architecture of IoT systems

  • Sensor and actuator integration

  • Prototyping with Arduino, ESP32

  • Matlab Simulation

embedded programming

  • C/C++

  • MicroPython

Communication and networks

  • Communication protocols: HTTP, LoRaWAN, BLE,

  • Configuration of wireless networks

Data preparation and feature engineering

  • Data cleaning

  • Selection of characteristics

  • Standardization and standardisation techniques

Symfony PHP development

  • Good knowledge of programming languages such as PHP, JavaScript and Python, as well as a proven command of popular frameworks such as Symfony.

database

  • Hands-on experience with MySQL to efficiently manage databases, creating optimized queries to extract complex data and perform joins.

Data analysis and visualization

  • Collecting, cleaning and analyzing big data to identify trends, patterns and relevant data from python and excel

Advanced Excel

  • Advanced use of PivotTables to aggregate and analyze data, create complex formulas for precise calculations, automate repetitive tasks using macros.

Attestation

I certify in good conscience that the above information accurately reflects my situation, qualifications and experiences.

Interests
Read
Sport
music