Delft, South Holland, Netherlands
Signal Processing specialist with a PhD in Electrical Engineering from Delft University of Technology. Currently at the Netherlands Organisation for Applied Scientific Research (TNO), I focus on radar signal processing, radar tracking, wireless communication, and sensor fusion, applying machine learning to real-world challenges. I hold a master’s degree from Villanova University and completed an internship at the Vodafone Chair at TU Dresden. Additionally, I have hands-on automotive tech experience and conducted research at the Fraunhofer Institute. Passionate about advancing radar systems through innovative solutions.
PhD candidate for distributed radar sensor networks and applying signal processing methods to perception tasks using Machine learning/Deep learning.
The Center for Advanced Communications at the Department of Electrical and Computer Engineering is a leading edge research center for radar-based human motion detection. I work on transient motion detection and machine learning classification methods. The research combines signal processing to track the target via radar, image processing to extract the necessary information from the Time-Frequency representation and machine learning algorithm development for classification processing.
Worked on physical layer abstraction simulation for wireless communication Compared the performance under fading channel conditions between IEEE802.11p vs LTE-V2V, both are vehicular communication standards Based on this work was an independent study thesis
I worked as a scientific assistant in the department Automatization and Monitoring for nearly two years. Furthermore, I wrote my final theses in the same department about: "Concept for a safety transmission of fast image sequences with a multi-camera system". My work was specialized in image processing and network communication.