Aims and Scope

Systems and Computing (SyCom) is an international, peer-reviewed journal that publishes research bridging theoretical and practical aspects of systems engineering and computational sciences, with a particular focus on modern computing systems and intelligent architectures.

SyCom publishes original research articles, review articles, technical notes, case studies, and short communications that fall within its scope. The journal is fully open access and operates under a no-publication-fee policy, supporting the principles of open science and the broad dissemination of scientific knowledge.

Topics of interest include, but are not limited to:

• Artificial Intelligence and Machine Learning in Systems
  AI-driven system design and optimization
  Machine learning algorithms for system automation
  Cognitive systems, decision-making, and intelligent agents
• Big Data and Analytics
  Data processing and storage systems for big data
  Advanced analytics and real-time data processing
  AI and machine learning techniques for big data analysis
• Quantum Computing and Emerging Systems
  Quantum algorithms and their impact on computing
  Quantum system architectures and hardware
  Integration of quantum and classical computing systems
• Distributed and Cloud Computing
  Distributed systems design and management
  Cloud computing architectures and applications
  Edge computing, fog computing, and IoT integration
• Cybersecurity and Cryptography
  Network and system security protocols
  Cryptography and secure communication
  Privacy-preserving computing and secure cloud systems
• Blockchain and Decentralized Systems
  Blockchain technologies in distributed systems
  Consensus protocols and decentralized computing
  Smart contracts and distributed ledgers
• Embedded and Real-Time Systems
  Design and implementation of embedded systems
  Real-time operating systems (RTOS)
  Applications in IoT, robotics, and autonomous systems
• Computer Architecture and Hardware Systems
  Microprocessor design and hardware acceleration
  Parallel and distributed architectures
  Energy-efficient computing and hardware–software co-design
• Operating Systems and Virtualization
  Operating system theory and kernel design
  Virtualization and containerization technologies
  Resource management, scheduling, and file systems
• Systems Theory and Design
  System modeling, analysis, and simulation
  Control theory, dynamical systems, and optimization
  System architecture and resource management
• Applied Mathematics in Systems
  Mathematical modeling of complex systems
  Optimization and decision-making methods
  Mathematical approaches to system stability and control