Efficient, secure, and trustworthy AI for edge and agentic systems, including device-aware neural architecture search, model compression, intelligent memory, multi-agent evaluation, and hardware-aware AI optimization.
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2 months ago
Industry partners to co-develop and validate efficient on-device agentic AI, including model compression, quantization, resource-aware architecture search, memory optimization, and deployment on mobile, embedded, and edge platforms.
About
Research spans trustworthy and explainable AI, neural architecture search, efficient edge computing, hardware and semiconductor security, IoT cybersecurity, distributed energy systems, adaptive memory, and machine-learning-based sensing for resource-constrained devices.
Research Lab Website -- https://www.siegelab.org/
LinkedIn -- https://www.linkedin.com/in/sunny0/
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