Dani Karam

• Developed and optimized environment modeling fusion for ADAS and autonomous driving systems adhering functional safety standards.
• Analyzed and refined sensor fusion algorithms, significantly enhancing vehicle perception and achieving reduction in false positives based on test team feedback.
• Designed and implemented advanced radar signal processing algorithms increasing system accuracy and performance.
• Ensured strict compliance with ISO 26262 and ASPICE throughout the software development lifecycle.
• Collaborated with cross-functional teams to implement real-time algorithms and meet project goals.

In cooperation with Sony
• Thesis Topic: Development of Computational Methods for Parameter Estimation in Automotive MIMO Radar.
• Processed multi-dimensional MIMO radar signal to improve detection and resolution.
• Developed computational efficient algorithms for automotive MIMO radar parameter estimation, leading to improvements in processing time and detection accuracy.
• Implemented novel algorithm such as PR-WSF-OMP in MATLAB and validated using real and simulated data.
• Published research in 2023 31 st European Signal Processing Conference (EUSIPCO).

In cooperation with Sony
• Conducted research on radar data cube and sensor array processing, focusing on optimizing radar signal detection and estimation.
• Developed and implemented algorithms for Direction of Arrival (DOA) estimation.
• Evaluated various algorithms for performance and efficiency, contributing to the advancement of radar technology in collaboration with Sony.

• Designed and implemented advanced control logic in PLC (Programmable Logic Controller) for electric vehicle charging stations.