Richard Capraru

While thoroughly modern in his sensibilities, Capraru possesses a reverence for the past that saves his work from the sterility often found in contemporary minimalism. He is unafraid to mix eras, placing a mid-century modern artifact against a backdrop of sleek, modern lines, or exposing the raw bones of a historic structure while inserting ultra-modern interventions.

Capraru's work addresses the critical intersection of environmental factors (like rain, snow, or fog) and the security of LiDAR systems, which are essential for autonomous vehicles to "see" their surroundings.

A mid-sized e-commerce company had flatlining revenues for 18 months. They were spending $200k monthly on ads with a negative ROAS.

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

: He has co-authored papers on using deep learning, specifically convolutional neural networks (CNNs), to count and localize people using 60 GHz FMCW radar. This includes addressing the resilience of these models in dynamic environments. Radar Data Challenges : Capraru was a contributor to the

Capraru has explored how weather conditions like rain affect LiDAR vision systems in self-driving cars and their vulnerability to cyber-physical attacks.

Urban landscapes are perpetually in flux, yet the methods we use to address architectural obsolescence remain rigid. When a factory closes, the city faces a crisis of identity. The prevailing dichotomy in urban planning views these structures as either obstacles to progress (necessitating removal) or monuments to history (necessitating preservation). This paper challenges that binary. A mid-sized e-commerce company had flatlining revenues for

: Locking specific feature-extraction layers within the neural network to preserve baseline geometric understanding.

Participated in summer terms and leadership programs at the Hong Kong University of Science and Technology (HKUST) and the University of Southern California (USC). Key Research Areas

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. : He has co-authored papers on using deep

Dr. Capraru’s research footprint spans top institutions globally. He established his foundational technical expertise by earning a B.Eng. in Electrical and Electronic Engineering from University College London (UCL) in 2021, where his excellence was recognized via the prestigious Laidlaw Scholarship.

: Training deep learning perception networks to understand the baseline signature of rain or fog, making anomalous laser injections stand out.

Richard Capraru, Emil Lupu, Jian-Gang Wang, Boon Hee Soong. "Leveraging Adverse Weather for Enhanced LiDAR Spoofing in Autonomous Driving: Challenges and Opportunities." IEEE Vehicular Technology Magazine, 2026. If you'd like to dive deeper into this, I can: