Research and development in advanced hardware systems
Machine-learning-driven control systems for dynamic stabilization of photonic resonators enabling high-performance signal filtering and adaptive interference rejection.
View Case Study →Hybrid electronic-photonic architectures achieving wideband tunability and high blocker rejection for next-generation 5G/6G communication systems.
View Case Study →CMOS laser drivers, MEMS drivers, and automatic control loops improving efficiency and stability in photonic display systems for Meta Reality Labs.
View Case Study →Adaptive ML algorithms for real-time tuning of electronic and photonic circuits, optimizing pole locations, biasing, and performance under varying conditions.
View Case Study →Ultra-low-power and high-bandwidth CMOS optical receivers for next-generation data center and telecom links.
View Case Study →Energy-efficient RF architectures supplied by switched-capacitor DC-DC converters for IoT and short-range wireless systems.
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