: He specializes in radar and LiDAR —technologies that allow machines to "see" when human eyes fail. His research often focuses on challenging scenarios like object detection in heavy rain and the vulnerabilities of autonomous vehicles to "spoofing" attacks.
Much of his work is driven by a fascinating duality: . This approach, known as adversarial thinking, is crucial for building robust technology.
Richard Capraru's research in this field has been conducted alongside academic peers such as Emil Lupu, Jian-Gang Wang, and Boon Hee Soong. richard capraru
As he continues his Ph.D., Capraru’s future contributions are likely to be impactful. His unique blend of expertise in radar technology, machine learning, and cybersecurity positions him perfectly to develop holistic solutions for the next generation of autonomous systems. He is addressing the fundamental question of how machines can perceive and interact with the world safely, even when that world is trying to deceive them.
Capraru has explored how weather conditions like rain affect LiDAR vision systems in self-driving cars and their vulnerability to cyber-physical attacks. : He specializes in radar and LiDAR —technologies
Currently pursuing his doctoral studies at Nanyang Technological University.
. His work primarily focuses on enhancing the reliability and safety of perception systems in complex environments. Research Focus and Contributions This approach, known as adversarial thinking, is crucial
to guide the recommendation of safety-critical scenarios for self-evolving autonomous driving systems. Semantic Segmentation
Conducted targeted sensory research at the Institute for Infocomm Research ( I2Rcap I squared cap R