Expanded his academic scope as a visiting scholar across East Asia's top institutions, including Peking University, the Hong Kong University of Science and Technology, Korea University, and the University of Tokyo. Key Research Breakthroughs 1. Unmasking LiDAR Vulnerabilities in Bad Weather
Investigating how these sensors perceive environments, particularly in adverse weather conditions like rain.
Under Capraru’s guidance, forward-thinking firms are deploying AI in three specific areas: richard capraru
: Utilizing deep learning and neural networks for signal, image, and video processing.
Capraru has explored how weather conditions like rain affect LiDAR vision systems in self-driving cars and their vulnerability to cyber-physical attacks. Expanded his academic scope as a visiting scholar
) under the Agency for Science, Technology and Research (A*STAR) in Singapore. Through the NTU–TUM–Imperial Global Fellows Programme, he completed a pivotal research attachment at Imperial College London under the mentorship of global cybersecurity pioneers. Core Research Focus and Innovations
Explore his latest AI security projects at the . Share public link Through the NTU–TUM–Imperial Global Fellows Programme
The studies look at both the vulnerabilities (challenges) and potential detection methods (opportunities) to strengthen autonomous driving systems against malicious attacks.
: Standard machine learning models are trained to classify what they see, meaning they struggle to differentiate between a naturally bounced photon and a precisely timed adversarial laser pulse. Weaponizing the Elements: LiDAR Spoofing in Adverse Weather
