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Workshop on New Frontiers in Networked Dynamical Systems: Assured Learning, Communication and Control
Workshop on New Frontiers in Networked Dynamical Systems: Assured Learning, Communication and Control
Update! -- Please join us for a welcome reception on Thursday Oct. 12, 7:00 pm -10:00 pm, at The Hotel, 7777 Baltimore Ave, College Park, MD 20740 (Henson Room)
Update! -- Please join us for a welcome reception on Thursday Oct. 12, 7:00 pm -10:00 pm, at The Hotel, 7777 Baltimore Ave, College Park, MD 20740 (Henson Room)
The workshop will explore new frontiers in modeling, learning and control of interconnected dynamical systems comprising humans, machines, and physical infrastructures. With the advent of ubiquitous connectivity, large-scale data collection, and the remarkable successes of data-driven artificial intelligence in recent years, we have come to a turning point. The time is ripe to consider how advanced data-driven AI technology will impact networked dynamical systems involving both human and machine agents together with physical infrastructure.
The workshop will explore new frontiers in modeling, learning and control of interconnected dynamical systems comprising humans, machines, and physical infrastructures. With the advent of ubiquitous connectivity, large-scale data collection, and the remarkable successes of data-driven artificial intelligence in recent years, we have come to a turning point. The time is ripe to consider how advanced data-driven AI technology will impact networked dynamical systems involving both human and machine agents together with physical infrastructure.
The workshop will involve experts and leaders from academia, government and industry, and will comprise invited talks, panel discussions, and brainstorming sessions. Key questions will revolve around assured learning, communication, and control of large-scale highly-interconnected dynamical systems, and safe and effective design and operation of hybrid human-cyber-physical systems. Striking the right balance between data-driven innovations and systematic design will also be an important part of the conversation. These topics are highly relevant for NSF and ARO programs and initiatives in the broad area of AI-enabled systems. The symposium aims to develop consensus on promising research directions in trustworthy learning methods and foundational science to guide the design of complex cyber-physical systems involving both humans and machines.
The workshop will involve experts and leaders from academia, government and industry, and will comprise invited talks, panel discussions, and brainstorming sessions. Key questions will revolve around assured learning, communication, and control of large-scale highly-interconnected dynamical systems, and safe and effective design and operation of hybrid human-cyber-physical systems. Striking the right balance between data-driven innovations and systematic design will also be an important part of the conversation. These topics are highly relevant for NSF and ARO programs and initiatives in the broad area of AI-enabled systems. The symposium aims to develop consensus on promising research directions in trustworthy learning methods and foundational science to guide the design of complex cyber-physical systems involving both humans and machines.
The outcomes of the symposium will help inform government and industry stewards / stakeholders about key future directions and grand challenges in this important area that will directly impact the nation's competitiveness and security in the coming decades.
The outcomes of the symposium will help inform government and industry stewards / stakeholders about key future directions and grand challenges in this important area that will directly impact the nation's competitiveness and security in the coming decades.
The organizers would like to use the opportunity of this symposium to congratulate Dr. John Baras on his 75th birthday and on 50 years of service on the faculty of the University of Maryland, College Park.
