Special Issue on AI for Critical Infrastructure

We are glad to announce that we partnered with Springer to release a Special Issue on AI for Critical Infrastructure. Authors from the 1st Workshop on AI for Critical Infrastructure @ IJCAI are automatically invited to submit an extended version of the paper to the Special Issue. However, new contributions sent directly to the journal are also welcome as long as they fit the topic.

Critical Infrastructures (CIs) are systems related to the delivery of vital public services, such as transportation systems, energy generation and transmission, telecommunication networks, hospitals, IT infrastructure, and others. While the preservation, improvement, and reliability of those systems are of priority to both the government and industry sectors due to their impact on society, disruptions are common due to the complexity and multitude of factors that contribute to the operability of those services.

The recent increase in connectivity and fast-paced AI advances bring new opportunities and risks to CI. AI systems can be introduced to increase efficiency and reliability. They can also be used to help repel sophisticated cyberattacks and mitigate natural disturbances, for example, the ones caused by weather issues intensified by global warming. However, applying and evaluating AI techniques in CI is not a trivial matter due to the complexity and impact of these systems. How do we ensure the safety of the public and critical infrastructure when AI systems become increasingly more autonomous? How can we ensure the public that these systems will be safe?

Topics of interest include but are not limited to

• AI/ML Methods and approaches for:

  • Energy Generation and/or Transmission

  • Transportation

  • Hospitals / Emergency Services

  • Internet connectivity

  • Defense

  • Chemical Industry

  • Supply Chain

  • Nuclear energy generation/nonproliferation §Waste Management

  • Water Systems

• AI in Cybersecurity of Critical Systems 

• Reliability of Critical Systems

• Simulations/Datasets for applications in Critical Infrastructure

• AI for detection and/or repair of service interruption

• Fundamental Research on AI/ML methods that fit well with real-world challenges faced by CI

• Open Challenges on CI where AI is believed to be able to provide a feasible solution.

Submitted papers are expected to have substantial new content when compared to any previously-published version. If any version of the paper was published anywhere except this workshop (e.g., for all highlight papers), please make sure to cite the previous version and explain the new additions to the manuscript.

Submission due by

• 11/15/2024.    03/31/2025

Journal

• SN Computer Science 

Guest Editors

• Felipe Leno da Silva – Lawrence Livermore National Lab

• Yi Wang – The University of Hong Kong

• Van Hai Bui – University of Michigan Dearborn

• Ruben Glatt – Lawrence Livermore National Lab

Instructions

• Submission Link: https://www.editorialmanager.com/sncs 

• Templates/Further Instructions available in Instructions for Authors

• Make sure to select the Special Issue for your submission: