WS Co-Chairs

Eugene Brezhniev DrS, Professor of the Computer Systems, Networks and Cybersecurity Department, National Aerospace University “KhAI”, Ukraine. National expert of TC 99 in the international standardization organization IEC TC SC-45A IEC TC SC-45A (working group №7, Functional and safety fundamentals of instrumentation, control and electrical power systems) Contact: e.brezhnev@csn.khai.edu

Fredrik Asplund Dr, Associate Professor at the KTH Royal Institute of Technology, and Docent in Cyberphysical Systems. Focusing on safe engineering practice and safety practices in engineering firms related to cyber-physical systems, but with an interest in system safety, system/software engineering, innovation ecosystems, empirical software engineering and engineering education. Contact: fasplund@kth.se

Motivation

Wildfire events are getting more extreme in terms of acres burned, duration and intensity, creating a growing threat to critical infrastructure such as transportation, communications, water supply, and power and gas services. Communities affected by wildfires face the trauma of fatalities, injury, loss of livelihoods, damage to homes, and psychological effects. The forestry industry are often using outdated techniques for fire management. Most of these techniques are focused on fire suppression, not on fire risk mitigation. However, wildfire risk is changing, and old assumptions and conclusions might (soon) no longer be correct.

How can we improve risk forecasting, public awareness and shift the efforts of emergency services from extinguishing fires to wildfire risk mitigation?

There are many different types of novel technology that could potentially be used in wildfire management, such as sensor networks, artificial intelligence, Internet of Drones, Industrial Internet of Things (IoT), etc. These technologies could provide a basis for a cost-efficient, risk-aware approach to prevention, detection and response.

Research organizations must urgently step up the development of planning and prevention efforts to address the risks of wildfires, while effective technology must be embraced by first responders, emergency services and civilians.

Objective – This workshop focuses on science and knowledge-sharing related to wildfire resilience management through the lens of protection, collaboration and technology.

Topics

• Methods, tools and technologies for wildfire risk forecasting
• Sensors Networks for systems of ecology monitoring
• Application of Unmanned Aerial Vehicles and Unmanned Ground Vehicles for wildfire risk mitigation and coping
• IoT for coping with wildfires
• Application of artificial intelligence for wildfire risk management
• The collaborative platform for professionals, policy-makers, practitioners and the public to advance and amplify international security innovations.
• Emergency response strategy, operations and policy, including wildfires as a natural or manmade threat.
• Development of training and exercise programmes on the use and application of drones and robots for disaster response, resilience and recovery.