Ghofrane El Haj Ahmed

- Integrated Ouster LiDAR with vision systems to enable autonomous indoor parking using ROS. - Developed a C++ server application to support HD map services for localization and navigation. - Built a media manager for real-time image acquisition, supporting both standard and custom video formats, with comprehensive unit testing for performance and reliability. - Designed a standalone network library with support for both UDP and TCP communication protocols. - Implemented an Ethernet-based plugin for real-time transmission of high-resolution images between embedded devices.

• Conducted extensive research on edge computing acceleration using general-purpose devices. • Designed and developed a scheduler for heterogeneous clusters in Kubernetes to optimize computational workload distribution. • Investigated GPU and CPU resource allocation strategies to enhance performance in cloud and edge computing environments. • Developed and tested experimental models for real-time processing and workload balancing in distributed systems. • Published research findings in peer-reviewed international conferences and scientific journals.

• Designed and developed a multi-agent system (MAS) for detecting and tracking moving objects in an outdoor parking environment. • Implemented Gaussian Mixture Model (GMM) for background subtraction, contour extraction, and Kalman filter for object tracking. • Developed cognitive and reactive agents for real-time decision making and negotiation. • Simulated the system using Repast-HPC, modeled agent interactions with AUML, and optimized detection accuracyn and development of Multi-Agent application for detection and tracking of moving objects .

Provide technical expertise on the protection of the electrical network and realize mini-project with PLC Micom.