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About

Daniel Roggen is a versatile researcher whose work spans the intersecting fields of wearable computing, flexible sensing technologies, and bio-inspired computing systems. His contributions to wearable computing have helped establish foundational methods for automatic human activity recognition from sensor data, addressing the critical balance between computational performance and user acceptance in real-world deployments. His work on flexible sensors, cited over 215 times, has advanced the development of conformable sensing materials applicable to smart textiles, artificial skins, and soft robotics, while his research on biocompatible strain sensors using natural coconut oil and carbon black composites demonstrates a commitment to accessible, sustainable solutions for health monitoring applications. Earlier in his career, Roggen made significant contributions to evolutionary and developmental computing, exploring how cellular hardware architectures and spiking neural networks could enable self-configuring and adaptive robotic systems. His investigations into morphogenetic systems and evolving multi-cellular circuits drew inspiration from biological processes to push the boundaries of machine intelligence and autonomous adaptation. Across these diverse research threads, Roggen has consistently worked at the frontier of embodied intelligence, bridging materials science, neuromorphic engineering, and human-centered computing into a cohesive and impactful research identity.