Okan Kamil Sen

Technical University of Munich, Infineon Technologies (Germany)

Papers

Total Citations

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About

Okan Kamil Sen is a leading researcher in industrial automation and intelligent sensing systems, with a focus on enhancing human-machine interaction in smart manufacturing environments. His work bridges the critical gap between traditional factory operations and fully automated Industry 4.0 ecosystems. Sen’s most impactful contribution is his pioneering development of a Time-of-Flight (ToF) and radar early feature-based fusion system for human detection and tracking. This work, which has garnered 18 citations, addresses a core challenge in modern production: safely integrating human workers with increasingly autonomous machinery. By fusing complementary sensor data, his system enables robust, real-time human presence detection, a vital component for collaborative robotics and adaptive workflows. Beyond this, Sen’s research on the long journey from standardization to full fab automation (8 citations) provides invaluable practical insights into the complex change management required for digital transformation in mature semiconductor fabs. His work documents the organizational and technical hurdles of implementing fully automated workflows, offering a roadmap for the industry. Through these contributions, Okan Kamil Sen is helping shape a future where factories are not only automated but also safe, adaptive, and truly human-centric.