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Decentralized Autonomous Networks for Cooperative Estimation

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Beeb's Sports Bar & Grill

915 Clubhouse Drive

Livermore, CA 94551

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Luncheon and Speaker: Dr. Ryan Goldhahn, LLNL: Decentralized Autonomous Networks for Cooperative Estimation.

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Collaborative autonomous networks have recently been used in national security, critical infrastructure, and commercial applications such as the Internet of Things. Decentralized approaches in particular offer scalable, low cost solutions which are robust to failures in multiple individual agents. However, such networks face challenges related to latency, bandwidth, scalability, and adversarial attacks, and new decentralized approaches are needed for distributed data processing and optimization. Effective solutions are those which push as much of the data processing and intelligence as possible to the individual agents and efficiently communicate information, fuse data while allowing for the possibility of unreliable information from neighboring agents, and achieve scalable network behaviors from only local coordination of actions between agents. This talk will summarize recent work on signal processing and network intelligence algorithms for decentralized sensor networks, results of simulations in large (~10K agent) networks, and current efforts towards the implementation of these algorithms in low size, weight and power embedded systems.

Ryan Goldhahn has a B.E. in Engineering from Dartmouth College and a Ph.D. in Electrical and Computer Engineering from Duke University. Before joining LLNL, Ryan led a project at the NATO Centre for Maritime Research and Experimentation (CMRE) using multiple unmanned underwater vehicles (UUVs) to detect and track submarines. This work developed collaborative autonomous behaviors to collectively detect targets and optimally reposition UUVs to improve tracking performance without human intervention, and tested these autonomous sensor networks at sea with submarines from multiple NATO nations. At LLNL Ryan has continued to work in collaborative autonomy and model-based and statistical signal processing in various applications. He has specifically focused on decentralized detection/estimation/tracking and optimization algorithms for autonomous sensor networks.

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Beeb's Sports Bar & Grill

915 Clubhouse Drive

Livermore, CA 94551

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Eventbrite's fee is nonrefundable.

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