Development of novel computing platforms that operate beyond traditional silicon-based systems, including printed and flexible microprocessors that enable computing in previously impossible form factors and environments. This work focuses on creating viable alternatives to conventional computing through new materials, fabrication processes, and architectural innovations.
Exploration of computing architectures optimized for non-traditional sensing modalities, particularly olfactory and aural processing. This research addresses the unique computational requirements of smell and sound processing, developing specialized hardware architectures that can efficiently handle these data-intensive, real-time sensing applications.
Design and optimization of computing systems for space-based applications, focusing on energy-efficient server architectures for orbital environments. This work addresses the unique challenges of space computing including power constraints, thermal management, and total cost of ownership optimization for space-based data processing.
Creation of modern tools and languages that democratize hardware design and lower barriers to entry for open-source hardware development. This includes developing new hardware description languages with improved safety features, better tooling ecosystems, and enhanced developer ergonomics.
Research into low-power computing architectures that maximize performance per watt, particularly for constrained environments where energy efficiency is paramount. This work spans from algorithm-architecture co-design to novel circuit techniques that enable high-performance computing in power-limited scenarios.