NeoCity Project

Role: R&D Engineer
Institution: SARL Maghreb Lampes - KAST, Mostaganem, Algeria
Date: Dec 2021 - Aug 2023

NeoCity is an innovative IoT project aimed at transforming smart cities with sustainable, energy-efficient solutions.

NeoCity's key feature is a comprehensive remote control platform, which integrates advanced mapping tools for cost-effective and efficient management. This dashboard empowers local authorities to:

Monitor energy consumption remotely using a user-friendly cartographic interface.

Enhance maintenance efficiency with automatic fault detection and real-time alerts.

The solution is particularly tailored for intelligent public lighting, helping cities adopt sustainable energy practices while improving urban infrastructure.

My Contributions to NeoCity

As an R&D Engineer, I was deeply involved in all stages of the project lifecycle, from conceptualization to deployment. My responsibilities included:

Technical Specifications:

Defined the requirements for wireless electronic boards compliant with ZigBee technology and NEMA standards (ANSI C136.41) for public lighting systems.

Hardware Design & Development:

Designed, developed, and tested functional prototypes of the NeoCity controller.

Created detailed technical reports and validated the performance of the electronic boards.

Collaboration with Suppliers:

Coordinated with component suppliers to select the most efficient materials and ensure seamless manufacturing processes.

PCB Design Tools:

Leveraged Altium Designer and KiCad for PCB design and routing, ensuring robust and reliable circuit performance.

Through NeoCity, we successfully developed a scalable and energy-efficient IoT solution that aligns with the needs of modern smart cities, delivering impactful and sustainable results.

View Catalog

RISK-IoT Project: Pre-industrialization of an IoT System for Industrial Risk Prevention

Role: Universiy project
Institution: Laboratoire CRAN, Université de Lorraine, Nancy, France
Date: Oct 2024 - Jan 2025

The ANR I2RM 2021-2023 project (CRAN Nancy - LAMIH Valenciennes) addressed the challenges of mitigating industrial risks by designing an IoT-based hardware and software architecture. This system focuses on managing risks in high-stakes industrial environments (e.g., Lubrizol Rouen, AZF Toulouse) by anticipating, preventing, and alerting stakeholders of critical situations that could endanger assets or personnel.

The system is designed to monitor abnormal conditions such as the positioning, movement, and storage of industrial assets and their interactions with operators and other equipment.

Current Achievements

A functional Proof-of-Feasibility (POF) prototype has been developed and deployed at the CRAN laboratory. This prototype comprises a fleet of 10 IoT nodes and 5 gateways, successfully demonstrating the concept’s validity.

Project Goals

The project aims to transition the laboratory-grade POF to a pre-industrial, cost-effective, and secure system suitable for real-world industrial applications. The work includes:

Literature Review: Studying IoT-based solutions for industrial risk management.

Specifications and Hardware Design: Developing a new hardware architecture optimized for reliability, security, cost, energy efficiency, and durability.

Embedded Application Development: Porting existing applications to an ESP32-based platform.

Key Outcomes

The project will deliver an industrial-ready IoT system featuring:

A scalable hardware/software architecture.

Optimized energy performance for long-term autonomy.

Cost-effective and durable components validated in industrial environments.

This innovative IoT solution will enable safer, more efficient management of industrial risks, aligning with modern industry standards for sustainability and security.

Development of an Analog Interface Board for Conditioning Low Signals (Current/Voltage)

Role: Universiy project
Institution: Université de Lorraine, Nancy, France
Date: Oct 2023 - Jun 2024
The objective of this project was to develop an analog interface board capable of measuring the impedance of cells subjected to a low-amplitude alternating current with varying frequency. Based on the requirements, the following specifications were established:

Specifications

Frequency Range: The system operates for frequencies ranging from kilohertz to tens of megahertz.

Current-to-Voltage Conversion: The amplification operational amplifier (Op-Amp) is configured to perform current-to-voltage conversion using a transimpedance circuit (with an input current on the order of nA).

Instrumentation Amplifier: The AD620 instrumentation amplifier amplifies biological signals while filtering noise and interference.

Implementation

The design of the interface board was tailored to meet the following challenges:

Developing an efficient analog front-end to interface with biological signals.

Ensuring signal integrity while minimizing noise during impedance measurement.

Integrating the analog board with a complementary digital architecture (FPGA) for signal generation and processing.

Final Outcome

The project successfully resulted in the development of a high-performance analog interface board that meets the required specifications, enabling accurate impedance measurement of biological cells.