Scope

This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by hurricanes, tsunamis, or volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.

JOURNAL NEED: The journal is intended to stimulate awareness, appreciation and utilization of systems thinking and the supporting systems engineering disciplines, especially for complex systems, systems-of-systems, complex cyber-physical systems, and complex smart systems, across many domains and application areas.

Attention will be directed to theory, technology, design methodology, management, applications, successful lessons, impact in the real life, and social implications. In particular, but not only, themes that will be addressed include architectures, complexity, dynamics, integration, interoperability, adaptability, completeness, effectiveness, modeling, analysis, simulation, development tools and environments, engineering, science, mission assurance, regulatory compliance, robustness, reliability, availability, safety, maintainability, quality, risk management, interaction, usability, human factors, privacy, deployment, management, operations, communications, security, standards, applications, ethics, and education.

Examples of in-scope papers: Papers considering systems in which several independent entities are interacting and cooperating. For example, networked systems such as power grids, sensor networks, multi-agent systems, and communication networks are considered in-scope, when the main focus is not just one component of the network. In other words, the analysis and design should take the interaction between these components into account.

Examples of out-of-scope papers: Papers considering one single system or one specific component of a network. For example, papers dealing with one specific power grid component, such as inverters, transformers, etc. are considered out-of-scope. Note that a feedback control system, although it consists of different components such as a plant, a controller, an actuator, and a sensor, is considered just one system, so this type of control system is out-of-scope, no matter how complex the controller is. A system consisting of a transmitter and a receiver is also not within this journal’s scope because these two devices are considered one system combined. Papers merely dealing with graph theory are not in-scope. Papers dealing with neural networks and fuzzy systems are not in scope, unless they are used to address a problem related to, for example, interconnected systems. Also, papers based only on data analysis are out-of-scope because they do not tackle a complex system from the systems engineering viewpoint. Papers on pure cryptography with no impact analysis on the communication network are also out-of-scope. BioMed applications related to brain interface or related to robotic vision or image processing are considered out-of-scope even though these are complex problems. There are other IEEE journals for this type of application. Papers related to signal and image processing techniques are out-of-scope.

Special Issue on AIoMT-enabled Systems-of-Systems for Complex Healthcare Environments
Submission Date: 2024-09-30

The special issue delves into utilizing Artificial Intelligence of Medical Things (AIoMT)-enabled systems-of-systems
(ASoS) as a technique tailored for complex healthcare environments (CHE). This ASoS_CHE model encompasses
interconnected components, including medical facilities, healthcare providers, medical devices, patient records,
electronic health records, other health-related technologies, and various stakeholders. By leveraging AIoMT, the aim is
to optimize healthcare processes, bolster patient care, and enhance overall healthcare system operations. This
technique involves carefully mapping and analyzing the interconnected systems, utilizing AI for predictive analytics,
decision support, and improving patient outcomes. ASoS model-based approach in the context of health involves
leveraging systems engineering principles and practices to design, analyze, and manage complex health systems. By
applying ASoS to health systems, organizations can improve efficiency, streamline processes, and enhance patient care
through a holistic and systematic system design and management approach.

The special issue aims to provide valuable insights for researchers and engineers involved in developing robust
AIoMT-enabled systems-of-systems methods tailored for complex health systems. It encourages researchers and
practitioners to submit their original contributions to further advance the collective knowledge that will shape the
emergence of AIoMT-enabled complex health systems in diverse and dynamic environments. This collaborative effort
will be pivotal in driving advancements within the medical field.

• Intelligent medical data sensing and processing for systems-of-systems model
• Wearable sensors for healthcare systems-of-systems model
• Embedded sensor systems in medical devices
• AIoMT_CHE through body area sensor systems with the actual implementation of sensor systems
• Patient-centric distributed and heterogeneous biomedical data modelling
• Big data analytics for healthcare sensors in complex ASoS
• Distributed sensor networks for biomedical intelligence, remote surgery, and robot-assisted
• IoT-enabled Cloud/fog/edge computing and big medical data collected by real sensor systems
• Federated learning through next-generation complex health networks
• Applied sensor systems for remote human health and activities monitoring
• Decision-making systems for ASoS_CHE sensor data analytics
• Data mining and fusion algorithms for ASoS_CHE-enabled sensors
• Medical Cyber-Physical Systems for complex health systems
• VR/AR sensors, mixed reality, and data visualization for ASoS_CHE

Submission Guidelines: Submitted articles must not have been previously published or currently submitted for
publication elsewhere. All submissions are subject to the IEEE System Journal’s peer-review procedures. The journals
must be submitted online at https://mc.manuscriptcentral.com/ieee-sj. The author guidelines can be found at
https://ieeesystemsjournal.org/authorinstructions/. Select the paper type "SI: AIoMT-enabled Systems-of-Systems
for Complex Healthcare Environments" upon submission to ensure that the article is considered for this special
issue. Authors must also mention the same in their submission cover letter.

Important Dates:
Submission deadline: September 30, 2024
First round of review: November 15, 2024
Second round of review: December 30, 2024
Final decision: February 20, 2025

For further information, please contact any of the Guest Editors.

Guest Editors
Chinmay Chakraborty, Birla Institute of Technology, India; Email: cchakrabarty@bitmesra.ac.in
Guangjie Han, Hohai University, China; Email: hanguangjie@gmail.com
Martin Margala, University of Louisiana at Lafayette, USA; Email; martin.margala@louisiana.edu
Gabriella Casalino, University of Bari, Italy; Email: gabriella.casalino@uniba.it
Wanqing Tu, Durham University, UK wanqing.tu@durham.ac.uk