MSc Deepak V Katkoria

Logiicdev’s FPGA, power electronics, digital twin, and robotic motherboard technologies can significantly advance Europe’s Rail Digitisation Focus 2030 by enabling intelligent, energy-efficient, and autonomous rail systems. FPGA-based edge computing allows real-time AI analytics and control for predictive maintenance, safety, and adaptive signaling. Advanced power electronics enhance energy efficiency and regenerative braking integration. The digital twin platform creates dynamic simulations of rail assets for optimization, fault prediction, and lifecycle management. Combined with the robotic motherboard for smart actuation and coordination, these technologies enable a resilient, interoperable, and sustainable digital rail infrastructure aligned with Europe’s 2030 mobility and green transition goals.