| Abstract Scope |
Recent advances in bioelectronic devices have enabled continuous monitoring of physiological signals through implantable and wearable platforms. However, the growing connectivity of healthcare systems raises concerns regarding data authenticity, privacy, and security. In this presentation, I will introduce our recent efforts toward secure bioelectronic systems that integrate multimodal sensing, neuromorphic signal processing, and physical entropy generation within emerging semiconductor devices. First, I will present optoelectronic and multimodal sensors capable of detecting diverse environmental and physiological stimuli while simultaneously performing in-sensor information processing. I will discuss entropy-generating electronic and photonic devices that exploit stochastic physical phenomena, including optical fluctuations, material disorder, and dynamic charge transport, to realize true random number generators and physically unclonable functions. These hardware security primitives provide real-time encryption and authentication capabilities directly at the device level. I will provide opportunities for integrating secure sensing, neuromorphic computing, and adaptive biointerfaces toward next-generation implantable and wearable healthcare systems. |