Richard: Capraru

: He has explored the "principles of forgetting" in domain-incremental semantic segmentation, particularly for navigating adverse weather conditions. Notable Publications

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He is particularly focused on the fragility of perception systems, especially (Light Detection and Ranging), under adverse weather conditions like rain. His research has shown that rain and wet road surfaces don't just reduce a vehicle's detection distance; they can also fundamentally expose the limitations of existing security defenses, creating a "false sense of confidence" in their reliability.

Seeking to expand his research domain into Asia’s booming tech ecosystems, Dr. Capraru moved to Singapore, where he was awarded the . He earned his Doctor of Philosophy (Ph.D.) in Electrical and Electronic Engineering from Nanyang Technological University (NTU) in 2026. richard capraru

Capraru insists that technology amplifies existing human behavior. If your team is afraid of accountability, no CRM will fix that. His first step is always a cultural audit. He implements "digital literacy boot camps" to ensure that from the C-suite to the entry-level clerk, everyone understands why the change is happening.

The core of this research rests on the "Capraru Continuum," a theoretical model that measures the tension between Preservation Intensity and Programmatic Flexibility .

Dr. Capraru’s publications and research focus on solving edge-case vulnerabilities in sensor fusion architectures. His work explores three primary domains: 1. Weather-Resilient LiDAR Perception : He has explored the "principles of forgetting"

After completing his degree, Capraru continued his research journey in Singapore. He is currently a at the School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU) . In parallel, he is also a student at Singapore's A*STAR Institute for Infocomm Research (I²R) . He holds a SINGA scholarship from A*STAR, a testament to his status as a rising scientific talent. This dual role allows him to bridge advanced academic theory with applied research in a national laboratory setting.

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An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition Academic Collaborations Capraru frequently collaborates with experts such as Emil C. Lupu (Imperial College London), Boon Hee Soong Matthew A. Ritchie He is particularly focused on the fragility of

Richard Capraru: Advancing Security in Autonomous Driving Technology

Autonomous perception frameworks rely heavily on LiDAR to map 3D environments using infrared light beams. However, atmospheric disruptions degrade these signals. In his foundational paper, “Upsampling Data Challenge: Object-Aware Approach for 3D Object Detection in Rain,” Dr. Capraru investigated how rain drops scatter light, attenuate intensity, and dramatically reduce the point cloud budget available to vehicle AI. He pioneered "object-aware" data approaches to reconstruct and "upsample" degraded sensory inputs, helping vehicles maintain high detection accuracy despite torrential downpours. 2. The Threat of Adversarial Sensor Attacks

Autonomous Vehicle Vision

: While at UCL, he co-developed the first and largest radar micro-Doppler database for data science challenges.