Richard Capraru //free\\ Direct

Developing machine learning models for signal processing and image recognition. Key Scientific Contributions

: One of his significant contributions involves exploring the use of extremely low-cost Continuous Wave (CW) radar modules for gesture recognition. His research compares these modules to more expensive Frequency Modulated Continuous Wave (FMCW) architectures to determine the feasibility of high-accuracy recognition at a lower cost. Deep Learning for Motion Recognition richard capraru

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Here’s a short descriptive text for , depending on the context you need (e.g., biography, introduction, or professional profile): Developing machine learning models for signal processing and

A major focus of his current work is unmasking vulnerabilities in LiDAR-based detectors, specifically focusing on spoofing and hiding attacks. Deep Learning for Motion Recognition It is possible

. This experience laid the groundwork for his specialization in signal processing and radar architectures. Research Specialization and Impact