About
I am a dynamic, rigorous, and passionate individual, with a strong adaptability and a great thirst for learning. From my earliest years at university, I distinguished myself through my academic achievements and commitment, earning the esteem of my teachers.
Holding a bachelor's degree in computer science, I continued my studies with a master's degree in "Software Systems in Distributed Environments" at the Faculty of Science of the University of Ngaoundéré, where I graduated top of my class in 2024.
Since 2025, I have been a doctoral student at INRIA , within the FUN team, under the supervision of Nathalie Mitton and Carol Habib. My thesis focuses on the design of smart IoT networks supporting sustainable manufacturing processes in Industry 4.0, a field at the intersection of embedded computing, distributed communications, and the digital transformation of industrial systems.
My interests include the Internet of Things (IoT), wireless sensor networks (WSN), edge computing, and embedded software. I am also passionate about video games, a stimulating universe that fuels my creativity, analytical mind, and sense of innovation.
And if you ever lose track of me, look near a tennis court or in a meeting room planning the next big project (or maybe doing both!).
Research Interest
Driven by a deep interest in research, I focus on the following areas while remaining open to other horizons.
- IoT networks
- Cloud IoT
- Wireless Sensor Networks
- Self-organization of IoT Networks
- Machine Learning in IoT Networks
- Data Science / Data Analysis
Skills
Passionate about IoT, embedded systems, and the development of technological solutions, I have gained extensive expertise in various areas ranging from IoT system design to data analysis and visualization. Here is an overview of my skills:
Resume
I have solid experience in data analysis, IoT system design, and predictive modeling of agricultural parameters through wireless sensor networks (WSN). My objective is to develop technological solutions that address complex challenges in the digital world.
Summary
Saynbe Mo Ringbe
Specializing in IoT systems and Machine Learning, with experience in developing data collection and predictive analysis solutions. Dynamic and motivated, I bring rigor and adaptability to innovative technical projects.
Education
Master’s Degree in Computer Science
October 2022 - October 2024
University of Ngaoundéré, Cameroon
Research focused on data collection and prediction of agricultural parameters using wireless sensor networks with a Machine Learning approach.
Bachelor’s Degree in Computer Science
October 2019 - July 2022
University of Ngaoundéré, Cameroon
Professional Experience
Freelance Software Engineer
Since January 2023
DKPB-Learning Sarl, Ngaoundéré, Adamawa, Cameroon
- Data analysis and development of dashboards for Company and private-sector.
- Development of Machine Learning-based solutions to improve decision-making.
- Website design and development
Data Clerk and Peer Educator (Volunteer)
July 2022 - September 2022
GTR-SIDA ADAMAOUA, Ngaoundéré, Cameroon
- Data entry and participation in awareness activities on HIV/AIDS.
IT Intern
August 2018 - May 2019
Ngaoundéré Protestant Hospital, Cameroon
- Participated in the development of a medical record management application.
- Software maintenance and network management (LAN, MAN, WAN).
List of Publications
Highlighted below are my academic contributions to the fields of IoT, wireless sensor networks, and precision agriculture.
International Conferences
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[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 of the 9th EAI International Conference on Green Energy and Networking (GreeNets 2024), (Nov. 22–23, 2024), Douala, Cameroon. -
[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 of the 9th EAI International Conference on Green Energy and Networking (GreeNets 2024), (Nov. 22–23, 2024), Douala, Cameroon.
Contact
If you have any questions or would like to get in touch, please feel free to use the contact information below to send me a message directly.
Location:
Villeneuve-d'Ascq, Hauts-de-France, France
Email:
Call:
+33 605 608 523