Cyber-Secure Biological Systems
Hybrid bioelectronic systems are rapidly becoming a crucial technology to help address societal challenges in healthcare and environmental monitoring. We are creating cyber-secure biological systems (CSBS) that combine CMOS electronics’ reliability and communication abilities with engineered living sensors and their unique ability to sense and report on the environment.
All-in-one Data Decoders
Guessing Random Additive Noise Decoding (GRAND) is the first universal decoding method that is agnostic to the code structure as it aims to identify the noise effect that has impacted the data. Because of the universal nature of GRAND, it allows efficient decoding of a variety of different codes and rates in a single hardware instantiation. The exploration of the use of different codes, including heretofore un-decodable ones, e.g., Random Linear Codes (RLCs), is an interesting facet of GRAND. We are developing all-in-one data decoders using the GRAND algorithm and its variants while achieving ultra-low energy consumption and low latency.
Secure Wireless Communication
Security is paramount and given hard resource constraints on energy, computation, and size, securing low-power intelligent sensing and communication systems cannot solely rely on cryptographic mechanisms. Security needs to be systemically addressed for these systems, particularly at the physical-layer-design level, not just as an afterthought in software. We are designing energy-efficient wireless systems with embedded analog/RF physical-layer security that go beyond the traditional cryptography-based approaches.