Soft Computing Techniques for Intelligent IoT, Edge Computing, and Cyber-Physical Healthcare Systems

Submission Deadline: 31 May 2027 View: 250 Submit to Special Issue

Guest Editor(s)

Dr. Kannadhasan Suriyan

Email: kannadhasan.ece@gmail.com

Affiliation: Department of Electronics and Communication Engineering, Study World College of Engineering, Coimbatore, India

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Research Interests: wireless networks, embedded systems, network security, optical communication, microwave antennas, electromagnetic compatibility and interference, wireless sensor networks, digital image processing, satellite communication, cognitive radio design, soft computing techniques

Prof. Ramalingam Nagarajan

Email: krrajan71@gmail.com

Affiliation: Department of Electrical and Electronics Engineering Gnanamani College of Technology Namakkal, Tamilnadu, India

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Research Interests: power electronics, power systems, network security, soft computing techniques

Prof. Narottam K Das

Email: n.das@cqu.edu.au

Affiliation: School of Engineering and Technology, Central Queensland University, Brisbane, Australia

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Research Interests: renewable energy, power electronics, power systems and grids, EV charging, sustainable energy systems

Summary

The rapid evolution of Artificial Intelligence (AI), the Internet of Things (IoT), edge computing, and cyber-physical systems (CPS) is transforming modern healthcare by enabling intelligent, connected, and data-driven medical services. The integration of soft computing techniques including fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence, and hybrid optimization methods has significantly enhanced the ability of healthcare systems to manage uncertainty, improve decision-making, and deliver personalized patient care. These technologies facilitate real-time monitoring, intelligent diagnosis, predictive analytics, secure data management, and autonomous healthcare operations while addressing the growing demands for efficiency, scalability, and reliability.

This Special Issue aims to provide an interdisciplinary forum for researchers, practitioners, clinicians, and industry experts to present cutting-edge research, innovative methodologies, and practical applications that leverage soft computing for intelligent healthcare systems. Contributions are encouraged that advance the development of IoT-enabled medical devices, edge intelligence, cyber-physical healthcare infrastructures, wearable technologies, smart hospitals, medical image analysis, clinical decision support systems, telemedicine, digital twins, and healthcare cybersecurity. The issue also welcomes studies on federated learning, explainable AI, privacy-preserving machine learning, blockchain-enabled healthcare, and sustainable computing solutions for next-generation medical informatics.

We invite original research articles, comprehensive review papers, case studies, and application-oriented contributions that address theoretical advancements, system design, implementation challenges, and real-world deployments. By bringing together diverse perspectives from computer science, engineering, healthcare, and biomedical informatics, this Special Issue seeks to foster collaboration and accelerate the adoption of intelligent, secure, and trustworthy healthcare technologies that improve patient outcomes and support the future of digital healthcare.

Topics of Interest (include, but are not limited to)
· Artificial Intelligence and Machine Learning for Medical Informatics
· Deep Learning for Medical Image and Signal Analysis
· Cyber-Physical Systems for Smart Healthcare
· Healthcare Cybersecurity and Blockchain Applications
· Digital Twins for Healthcare Systems
· Biomedical Data Analytics and Big Data
· Internet of Things (IoT) for Healthcare
· Edge/Fog Computing
· Cyber-Physical Systems
· Medical Informatics

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