Themed Issue: Scalable AI, Edge–Cloud Intelligence, and Data-Driven Modeling for Complex Systems

In the context of rapid technological evolution and the proliferation of data-intensive applications, modern computational systems are increasingly required to operate across distributed, heterogeneous, and resource-constrained environments. The convergence of scalable artificial intelligence, edge–cloud computing paradigms, and data-driven modeling offers a powerful framework for addressing the challenges posed by complex, dynamic, and interdependent systems. These integrated approaches enable real-time data processing, adaptive learning, and intelligent decision-making, thereby supporting critical infrastructures and strategic operations in domains characterized by uncertainty and high complexity.

 

Edge–cloud intelligence facilitates the seamless interaction between decentralized data sources and centralized computational resources, allowing for efficient data fusion, low-latency analytics, and scalable deployment of machine learning models. At the same time, advances in AI-driven methodologies, including deep learning, federated learning, and autonomous optimization, contribute to the development of robust systems capable of learning from large-scale, distributed datasets while preserving data privacy and security. Furthermore, data-driven modeling techniques, such as digital twins and predictive analytics, play a crucial role in understanding, simulating, and optimizing complex systems across sectors such as energy, healthcare, smart cities, environmental monitoring, and industrial automation.

 

This Themed Issue aims to collect original and high-quality contributions that explore the theoretical foundations, computational methodologies, and intelligent applications of scalable AI, edge–cloud intelligence, and data-driven modeling, with a particular emphasis on extended security and strategic decision-making in critical and interdependent domains.

 

Topics include, but are not limited to:
⎯ Distributed and federated learning in cloud–edge environments
⎯ Scalable deep learning architectures for big data analytics
⎯ Real-time data processing and streaming analytics in cloud platforms
⎯ Digital twins and data-driven modeling of complex systems
⎯ AI-driven optimization and autonomous decision systems
⎯ Integration of IoT, edge computing, and cloud infrastructures
⎯ High-performance computing for large-scale data fusion and analytics
⎯ Intelligent systems for security, resilience, and risk assessment
⎯ Edge AI for low-latency and resource-aware applications
⎯ Privacy-preserving machine learning and secure data sharing
⎯ Predictive modeling and simulation of complex adaptive systems
⎯ Applications in smart cities, healthcare, energy systems, and environmental monitoring

 

This Themed Issue welcomes original research articles, high-quality review papers, and rigorous application studies that contribute to the advancement of modern intelligent systems. Submissions are expected to provide meaningful contributions in one or more of the following directions:

 

a. development of scalable AI models and distributed architectures for complex systems
b. novel computational methods and algorithms for edge–cloud intelligence and data fusion
c. data-driven approaches for security, resilience, and strategic decision-making in critical domains

The Themed Issue particularly encourages contributions that combine theoretical rigor with practical relevance, including architectural design, algorithmic innovation, performance evaluation, and well-validated real-world applications.

 

Guest Editor

Ştefan Ţălu

 

The Technical University of Cluj-Napoca, The Directorate of Research, Development and Innovation Management (DMCDI), Constantin Daicoviciu Street, no. 15, Cluj-Napoca, 400020, Cluj County, Romania

 

Submission Guidelines
https://ojs.wiserpub.com/index.php/CCDS/about/submissions

 

All manuscripts submitted to the Themed Issue will undergo the same rigorous peer-review process as regular submissions and will be published in regular issues of the journal.

 

Deadline for Submissions
30 December 2026

 

For submission
Authors are kindly requested to send the full paper to editorccds@universalwiser.com and indicate that the manuscript is submitted to the Themed Issue “Scalable AI, Edge–Cloud Intelligence, and Data-Driven Modeling for Complex Systems.”