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IEEE
Transactions on Emerging Topics in Computational Intelligence
Special Issue on
Computational
Intelligence for Human-in-the-Loop Cyber Physical Systems
Scheduled
Publication Time: 2020/2021
Aim and Scope
Recent advances in computational
intelligence, real-time computing and control, have given momentum to
Human-in-the-Loop Cyber Physical Systems (HitLCPS)
to enable game-changing communication and collaboration paradigms that
operate in connection with humans’ natural behaviour patterns.
Despite the ongoing advancement of computational intelligence techniques
for analysing the interactions between the cognitive and cyber domains,
there are growing concerns regarding the security, privacy, and safety of
human when they interact with smart cyber physical environments. The
large-scale integration of heterogeneous IoT devices to manage and control
a wide variety of sensors and settings will hugely increase the attack
surface, the scope for misconfigurations, and hence unsafe or conflicting behaviour
of various devices and subsystems, which in turn can place the human in
unsafe and hazardous situations, both mentally and physically. It is still
unclear how to design optimized relationships between people and ma-chines
in a scalable manner, how to design triggers for pro-active engagement and
disengagement, and how to handle the consequences of implied actions. For
example, when the system misbehaves as a result of erroneous data, it is
important to have real-time rules that can guarantee a fail-safe state for
the HitLCPS. The verification of operations in a
large HitLCPS can be very complex due to the
evolving nature of human-in-the-loop networks both in terms of physical
aspects and operational environment. Therefore, understanding the semantics
of HitLCPS and the context of control behaviour
is critical to dispose incorrect configurations and build a proactive
resilience and a reactive defence against evolving threats.
To address the above-mentioned
challenges, there is a need for new algorithmic developments beyond
traditional topics in neural networks, evolutionary computation, and fuzzy
systems. The aim of this special issue is to provide a multi-aspect
up-to-date reference for theoretical development of computational
intelligence techniques for improving “security, privacy, and
safety” in emerging HitLCPS applications.
Topics
The topics of interest for this special issue include,
but are not limited to
·
Computational
intelligence for security hardening of HitLCPS
·
Computational intelligence
for integration of communications and sensing in HitLCPS
·
Computational
models for trusted HitLCPS
·
Artificial
intelligence safety for HitLCPS
·
Explainable
human-in-the-loop artificial intelligence
·
Explainable
decision making for HitLCPS operating in
uncertain and evolving environments
·
Optimizing safety
and security of HitLCPS using evolutionary
techniques
·
Trusted
machine/deep learning for HitLCPS
·
Computational
intelligence for depicting human vulnerabilities in HitLCPS
·
Computational intelligence
for resilient HitLCPS
·
Innovative
computational intelligence techniques for cyber and cyber-physical attacks
detection, prevention, and mitigation in HitLCPS
applications
·
Theoretical
development of HitLCPS
·
Nature-inspired
computational intelligence algorithms for HitLCPS
·
Applications of
computational intelligence for safe and secure HitLCPS
Submission
Manuscripts should be prepared
according to the “Information for Authors” section of the
journal, and submissions should be done through the journal submission
website: https://mc.manuscriptcentral.com/tetci-ieee, by selecting the
Manuscript Type of “Computational Intelligence for Human-in-the-Loop
Cyber Physical Systems” and clearly marking “Computational
Intelligence for Human-in-the-Loop Cyber Physical Systems” as
comments to the Editor-in-Chief. Submitted papers will be reviewed by at
least three different reviewers. Submission of a manuscript implies that it
is the authors’ original unpublished work and is not being submitted
for possible publication elsewhere.
Timeline
Paper submission deadline: April 15, 2020
Notice of the first round review results: June 15, 2020
Revision due: August
15, 2020
Final notice of acceptance/reject: October 15, 2020
Guest Editors
Alireza Jolfaei, Macquarie University, Australia
(alireza.jolfaei@mq.edu.au)
Muhammad Usman, University of Surrey, United Kingdom
(m.usman@surrey.ac.uk)
Manuel Roveri, Politecnico di
Milano, Milano, Italy (manuel.roveri@polimi.it)
Michael Sheng, Macquarie University, NSW, Australia
(michael.sheng@mq.edu.au)
Marimuthu Palaniswami, University of Melbourne, VIC,
Australia (palani@unimelb.edu.au)
Krishna Kant, Temple University, PA, USA
(kkant@temple.edu)
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