Richard Capraru ✓
Capraru's research addresses the vulnerabilities of self-driving cars, particularly how sensors like LiDAR can be compromised by environmental factors like rain or by intentional cyber-physical attacks.
An IEEE member, his academic footprint spans top global institutions like University College London and Nanyang Technological University. Below is an in-depth exploration of Dr. Richard Capraru's career, core research focus areas, and significant contributions to modern engineering. Academic Background and International Trajectory
If you are looking for information about a different person named Richard Capraru, or if you can provide more context (e.g., in which industry or field they work), I can help you find more specific details. Dr. Jian-Gang Wang | Author - SciProfiles richard capraru
To further expand his cross-cultural and academic perspectives, he studied as a visiting scholar at: The University of Tokyo Peking University Hong Kong University of Science and Technology (HKUST) Korea University
: Training deep learning perception networks to understand the baseline signature of rain or fog, making anomalous laser injections stand out. Richard Capraru's career, core research focus areas, and
His research on this topic was featured in the IEEE Vehicular Technology Magazine in 2026. Context in Autonomous Vehicle Security
Capraru’s research spans several cutting-edge domains in computer science and electrical engineering: Autonomous Vehicle Security Jian-Gang Wang | Author - SciProfiles To further
When autonomous vehicles undergo sequential training to adapt to poor weather conditions, they often suffer from "catastrophic forgetting"—a phenomenon where the underlying neural network loses its initial ability to recognize objects in clear weather.
While pursuing his doctorate, he cultivated an extensive international network:
: Research on data minimization for real-time LiDAR attacks. Recent Activities
Capraru's research addresses the vulnerabilities of self-driving cars, particularly how sensors like LiDAR can be compromised by environmental factors like rain or by intentional cyber-physical attacks.
An IEEE member, his academic footprint spans top global institutions like University College London and Nanyang Technological University. Below is an in-depth exploration of Dr. Richard Capraru's career, core research focus areas, and significant contributions to modern engineering. Academic Background and International Trajectory
If you are looking for information about a different person named Richard Capraru, or if you can provide more context (e.g., in which industry or field they work), I can help you find more specific details. Dr. Jian-Gang Wang | Author - SciProfiles
To further expand his cross-cultural and academic perspectives, he studied as a visiting scholar at: The University of Tokyo Peking University Hong Kong University of Science and Technology (HKUST) Korea University
: Training deep learning perception networks to understand the baseline signature of rain or fog, making anomalous laser injections stand out.
His research on this topic was featured in the IEEE Vehicular Technology Magazine in 2026. Context in Autonomous Vehicle Security
Capraru’s research spans several cutting-edge domains in computer science and electrical engineering: Autonomous Vehicle Security
When autonomous vehicles undergo sequential training to adapt to poor weather conditions, they often suffer from "catastrophic forgetting"—a phenomenon where the underlying neural network loses its initial ability to recognize objects in clear weather.
While pursuing his doctorate, he cultivated an extensive international network:
: Research on data minimization for real-time LiDAR attacks. Recent Activities