Andreas Prokscha

Papers

Total Citations

H-Index

About

Andreas Prokscha is a leading researcher at the intersection of wireless communications and human-centric sensing, with a primary focus on terahertz (THz) ray-tracing and digital twin modeling. His most cited work, "Multidisciplinary Data Fusion for THz Ray-Tracing" (2022, 11 citations), pioneers a novel approach to integrating human appearance—whether as a disturbance, convenience, or necessity—into technical systems like human-robot interaction and gesture detection. By developing realistic human digital twins that capture positions, gestures, and individual characteristics, Prokscha addresses a critical gap in THz propagation modeling, where the human body significantly impacts signal behavior. This contribution is foundational for next-generation 6G communication systems, enabling more accurate channel simulations in dynamic, human-populated environments. His research bridges electromagnetics, computer graphics, and machine learning, offering practical tools for smart environments and autonomous systems. While his citation count reflects the emerging nature of this field, the interdisciplinary impact of his work is already shaping how engineers design robust, human-aware wireless networks. Prokscha’s achievements underscore his role as a key innovator in fusing physical modeling with data-driven techniques for future communication technologies.