Richard Capraru Info

When businesses discuss "digital transformation," they often think of buying software. has been a vocal critic of this "tech-first" approach. His blueprint for digital transformation follows a "People -> Process -> Tools" hierarchy.

He explores the performance of LiDAR vision systems in self-driving cars during heavy rain. His work highlights how rain can be leveraged by attackers to create "ghost objects" or hide real obstacles with a reduced attack budget.

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 richard capraru

Following the completion of his MEng at UCL in 2021, Capraru moved to Singapore to further his studies. He is currently a at the School of Electrical and Electronic Engineering at Nanyang Technological University (NTU) , where he is advised by Associate Professor Boon-Hee Soong. Simultaneously, he holds a position as a student at the Agency for Science, Technology and Research's (A*STAR) Institute for Infocomm Research (I²R) under the supervision of Principal Scientist Dr. Jian-Gang Wang. This dual affiliation as a SINGA (Singapore International Graduate Award) scholar has placed him at the heart of one of the world's leading hubs for technology and innovation.

Richard Capraru’s research is crucial for the automotive and AI industries, which are under pressure to ensure that self-driving cars can operate safely in all environments, including those with adverse weather and potential cybersecurity threats. By identifying how attackers can leverage weather to mask their efforts, this research helps shape the development of more robust, secure sensory technology. He explores the performance of LiDAR vision systems

Economically, the Capraru Continuum suggests that heritage value translates directly to premium branding. "Industrial chic" developments command higher rental yields, proving that the friction between old and new creates desirable spatial experiences that standard office parks cannot replicate.

The city is not a static artifact but a living organism. The Capraru Continuum offers a blueprint for how we might treat the scars of deindustrialization not as wounds to be hidden, but as foundations for future growth. By prioritizing "Adaptive Integrity," planners can create spaces that honor the labor of the past while serving the needs of the present. Future research will apply this model to non-industrial typologies, such as defunct retail malls and suburban office parks. But add a torrential downpour, and the data

Dr. Capraru's most critical breakthrough lies in studying the intersection of these two problems. In a landmark paper published in the IEEE Vehicular Technology Magazine titled “Leveraging Adverse Weather for Enhanced LiDAR Spoofing in Autonomous Driving: Challenges and Opportunities,” he proved that environmental noise (like rain) makes it significantly easier for bad actors to hide adversarial spoofing signals. By leveraging natural signal attenuation, attacks require less power and fewer points to remain entirely undetected by conventional defensive filters.