3. Mitigation of Catastrophic Forgetting in Machine Learning
As autonomous vehicles (AVs) shift from controlled environments to complex, unpredictable real-world deployments, Dr. Capraru’s research provides critical insights into how weather anomalies and malicious cyber-physical attacks compromise vehicle perception. Academic Background and International Trajectory
Richard Capraru's academic journey is a global one, grounded in world-class institutions in both the United Kingdom and Singapore. He laid the groundwork for his career by earning his Bachelor of Engineering (B.Eng.) degree in Electrical and Electronic Engineering from University College London (UCL) in 2021.
Something went wrong with the response, but here are the most relevant results: ResearchGate·https://www.researchgate.net
Traditional 3D object detection works beautifully on a clear summer day. But add a torrential downpour, and the data becomes a chaotic mix of reflections and "noise." For safety-critical systems, a 95% accuracy rate in rain isn't just a technical hurdle; it’s a non-negotiable requirement. Why Radar is Making a Comeback
Dr. Richard Capraru is a researcher currently affiliated with the at the University of Tokyo . His expertise focuses on the intersection of robust autonomous systems, adversarial perception, predictive models, and AI agency. Professional Profile
: Currently a PhD candidate at Nanyang Technological University (NTU) and A*STAR in Singapore, his work aims to make self-driving cars safer and more reliable. Story Concept: "The Rain-Reaper"
As of 2025, the conversation around business strategy is dominated by Artificial Intelligence. has positioned himself as a pragmatic voice amidst the hype. He argues that AI is not a magic wand but a "predictive calculator."
micro-Doppler radar data challenge, which aimed to benchmark classification algorithms for radar-based human activity recognition. Advanced Computer Vision : More recent work attributed to him includes

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