Topical Areas




Elements of Resilience

Control Systems

Engineering systems are increasingly subjected to disturbances which are not generally predictable at design time. These disturbances can be man-made or naturally occurring, and they can be physical or cyber in nature. In order to ensure resilient system performance, multidisciplinary control approaches that provide intrinsic state awareness and intelligence are required.

Topical areas include: anomaly detection, adaptive, fault-tolerant, and resilient control systems; distributed and robust sensing; monitoring/control security; data analytics and machine learning for control and optimization, diagnostic and prognostic tools, computational intelligence; cyber-physical power and energy systems; robotic systems; cyber-physical system security; cybersecurity for industrial control systems; autonomous cyber defense; internet of things; intelligent transportation systems; control of critical infrastructures.

Cyber Systems

Engineered systems in use today are highly dependent on computation and communication resources. This includes systems of all kinds, ranging from vehicles to large-scale industrial systems and national critical infrastructures. The resilience of the computational systems and infrastructures underlying these technologies is of great importance for mission continuity, security and safety. Resilience, in this context, is understood as the ability of a system to anticipate, withstand, recover, and evolve from cyberattacks and failures. In this symposium, we will focus on the topic of resilience of cyber-physical systems. Among others, the concepts of cyber awareness, anticipation, avoidance, protection, detection, and response to cyberattacks will be promoted and will help set the tone of the event. A better understanding of the science and engineering of these concepts and its supporting technologies will help provide some of the key underlying capabilities for the design and development of resilient cyber-physical systems.

Topical areas include: cyber architecture; human machine interaction and cyber social understanding; human systems design, human and systems behavior; education and workforce development; sensor architectures; data fusion; computational intelligence; resilient cyber frameworks and architectures, adaptive/ agile/ moving defenses; resilient cyber-physical power and energy systems.

Cognitive Systems

Many environments critical to cyber and physical infrastructure exhibit interplays between engineering systems design and human factors engineering. The Cognitive Systems track will explore how people, individually and in teams, engage in cognitive and cooperative problem-solving in complex, time-critical, and high-consequence settings. We will emphasize technology designs, operating concepts and procedures, and cognitive science research that improve overall human-system performance and increase the resilience and robustness of complex sociotechnical systems. Joint sessions with the Control Systems and Cyber Systems Symposia will explore the functional relations of systems integrating humans, automation, and system management resources.

Topical areas include: selection, training and performance in complex sociotechnical systems; human performance models of event response; cognitive readiness in high-consequence environments, macroergonomics, systems design, and safety, human factors of security, privacy, and trust, situated cognition in cyber, physical, and hybrid environments, procedures, checklists, and skilled performance, human supervisory control and complex systems performance; distributed cognition, expertise coordination, and teamwork; human-machine interaction with automation, computers, and robots, and autonomous and semi-autonomous systems/technology.

Communication Systems

Many commercial and government applications require reliable and secure communications for effective operations. These communications are often challenged in contested environments – whether from hostile states in a denial of service scenario, degraded infrastructure following a man-made or natural disaster, or ¬finite spectrum pressure that restrict agility. The symposium will highlight how incorporation of resiliency in communications systems can support a wide range of applications given uncertainty in the communication environment.

Topical areas include: architectures; threats and failures; remediation and recovery; characterization; networks and infrastructure; military applications, civil applications, security, privacy and trust in communications, communications for cyber-physical systems (including but not limited to: power transmission and distribution, transportation, autonomous vehicles, industrial automation, building management systems, health care, agriculture, logistics, etc.), cloud, edge and fog computing.

complex environments


Creating and sustaining resilient critical infrastructure is a diverse and complex mission. Critical infrastructure systems in the United States consist of a diversity of interdependent networks, varied operating and ownership models, systems in both the physical world and cyberspace, and stakeholders from multijurisdictional levels. Methods to improve critical infrastructure resilience are advancing, but much more can be done. Large-scale disasters have revealed that decision-makers often struggle to identify or determine key components and interdependency relationships in infrastructure systems, optimal resource allocation to increase resilience or reduce risk, and optimal response plans. The Resilient Critical Infrastructure Symposium seeks to bridge the gaps among local, city and state entities, infrastructure owner-operators, federal agencies, and researchers to advance a productive discussion of tools, technologies, and policies for improving critical infrastructure resilience.

Topical areas include: modeling, analytical techniques, or decision support tools to determine vulnerabilities in critical infrastructure, assess resilience, and/or inform planning and investment, adaptations to respond to catastrophic events; best practices for local, state, federal infrastructure protection entities or infrastructure owner-operators; techniques to improve critical infrastructure resilience to all-hazards; case studies of infrastructure planning and disaster response; emergency services and regional resilience; dependency or interdependency examinations of cascading impacts of infrastructure failures; cyber-physical interdependencies in critical infrastructure analysis; resilience assessment methodologies and incorporation of sociotechnical approaches; application of advanced visualization methodologies (e.g., geospatial and virtual reality) that enhance critical infrastructure analysis reports and information sharing processes.


Communities provide the fabric for effective provisioning of our societal well-being during major intentional or natural stressors. In addition to infrastructure, human factors such as connections between individuals and groups serve as critical resources for bouncing back from shocks. It is important that resilience planning and policies reflect how communities value resilience, how they respond to events, how the population is disproportionately impacted, what the impact is on the local economy, including business interruption and impact on social institutions, and how availability and distribution of key resources impacts long term recovery and if used effectively, can make communities and populations more resilient to large-scale disruptions.

Topical areas include: governance and resilience policy; temporary housing, impacts on affordable housing, and long term housing recovery; effects of human factors in recovery; intersection of social and physical vulnerability; business interruption and interruption of critical social services and institutions; models, metrics and systematic approaches to resilience planning; interdisciplinary approaches to resilience; capacity building and sustainability challenges; and role of distributed community-based assets (utility and customer owned, including social services and the local economy) in recovery.

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