I am a R&D doctor-engineer at CityTaps in charge of deploying, operating and maintaining the IoT network.
Prior to that, I obtained my PhD in Computer Science working on the topic of "Collecting Data in Energy Harvesting and Passive RFID-like Powered Sensor Networks" under the joint supervision of Nathalie MITTON at FUN Team in Inria Lille Nord-Europe and Hervé Rivano at AGORA Team. This work was part of a CityLab@Inria project.
Furthermore, I was a postdoctoral fellow at INSA Lyon / Inria as part of the AGORA research team directed by Hervé Rivano at CITI Lab working on Smart Lighting and LoRaWAN capture-effect.
I also received a Master's degree in Networking and Telecommunications from Université Cheikh Anta Diop of Dakar in 2013 working on the subject of "Distributed anti-collision algorithm for RFID readers" under the direction of Nathalie MITTON and Ibrahim Amadou at FUN Team Inria.
LPWAN
LoRa & LoRaWAN
Capture effect
RFID Systems
Wireless Sensor Networks
Distributed Systems
IoT
Smart Cities
MAC Layer
Routing Protocols
"Running Water In Every Home" - Smart Water (CityTaps)
CityTaps’ vision is to help bring running water to every urban home, to boost the health, dignity and productivity of the urban poor in developing countries. For this purpose, CityTaps has developed a solution that bridges the gap between water utilities and the urban poor: a prepayment service that comprises a smart, prepaid water meter and billing software.
This solution heavily relies on IoT networks (LoRaWAN, NBIoT, GPRS, etc) in order to collect data from the smart water meters as well as remotely control the embedded valve to control water flow.
The high number of smart water meters deployed provides a large quantity of data which allows us to provide water needs forecasting. Furthermore, covering the water network with fine-grained Automated Meter Reading (AMR) enables the monitoring of water flow with Non-Revenue Water computation.
"Enabling Smart Cities - Smart Lighting"
The purpose of this project is to develop an integrated and complete solution for urban lighting systems. As such, we look into different technologies for sensing the urban environment (weather, luminosity, air quality, etc) combining it with the identification of its main actors (pedestrians, vehicles, etc) to provide an efficient smart lighting infrastructure. In order to achieve the afore-mentionned solution, data acquisition and corresponding triggers are performed using LPWAN technologies such as LoRa.
Beside this work, we also venture into the capture effect in LoRaWAN networks and how it can be used to improve density and efficiency.
CNRIA, 2019, PC Member
CNRIA, 2018, PC Member
IEEE Smart World Congress, 2017, PC Member
AdHocNow, 2016, Publicity Chair
Review for IEEE Infocom, 2019
Review for AfriComm, 2019
Review for Adhoc Networks, 2018
Review for MDPI Electronics, 2017
Review for IEEE Systems Journal, 2017
Review for IEEE Systems Journal, 2017
Review for IEEE Wireless and Mobile Computing, Networking and Communications, 2017
Review for International Journal of Wireless Information Networks, 2017
Review for Elsevier Computer Networks, 2017
Review for IEEE Communication Magazine: Telecommunications Standardisation in the Engineering Curriculum, 2017
Review for International Conference on Computing, Networking and Communications, 2016
Review for IEEE Systems Journal, 2016
RFID for Smart Cities at Médiathèque d'Annecy, 2020
Smart City: issues, topologies and analysis at INSA Lyon, 2019 & 2020
Long Range Networks at INSA Lyon, 2019 & 2020
TCP/IP protocols at INSA Lyon, 2019
Smart Cities and Protocols at INSA Lyon, 2019
Initiation to research at INSA Lyon, 2019
Algorithmic and programming for First Cycle at INSA Lyon, 2018 & 2019
IoT Services for engineer students at IMT Atlantique Rennes, 2018