🔬 Automatic Tuning of Silicon Photonic Filters

Impact: Up to 10× faster tuning, >40dB jammer rejection, real-time stabilization
Metrics are from prototype characterization / publication results; details in case study.

Machine-learning-driven control systems for dynamic stabilization of photonic resonators enabling high-performance signal filtering and adaptive interference rejection.

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📡 mm-Wave CMOS & Photonic Hybrid Receiver Systems

Impact: 20 GHz+ bandwidth, up to 60% efficiency improvement, >30dB blocker rejection
Metrics are from prototype characterization / publication results; details in case study.

Hybrid electronic-photonic architectures achieving wideband tunability and high blocker rejection for next-generation 5G/6G communication systems.

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👓 AR/VR Driver ICs & Stabilization Loops

Impact: Up to 35% power reduction, sub-microsecond stabilization, demonstrated 99.9% uptime
Metrics are from prototype characterization / publication results; details in case study.

CMOS laser drivers, MEMS drivers, and automatic control loops improving efficiency and stability in photonic display systems for Meta Reality Labs.

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⚙️ Machine-Learning Control for Hardware Systems

Impact: Up to 80% faster calibration, adaptive real-time tuning, zero manual intervention
Metrics are from prototype characterization / publication results; details in case study.

Adaptive ML algorithms for real-time tuning of electronic and photonic circuits, optimizing pole locations, biasing, and performance under varying conditions.

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🌐 High-Speed Optical Receiver Front-Ends

Impact: 100+ Gb/s throughput, up to 50% power savings, as low as <1pA input sensitivity
Metrics are from prototype characterization / publication results; details in case study.

Ultra-low-power and high-bandwidth CMOS optical receivers for next-generation data center and telecom links.

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🔋 Ultra-Low-Power RF Transmitters

Impact: Up to 70% power reduction, as low as 10mW operation, extended battery life
Metrics are from prototype characterization / publication results; details in case study.

Energy-efficient RF architectures supplied by switched-capacitor DC-DC converters for IoT and short-range wireless systems.

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