About the Journal

Aims & Scope

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

SyCom publishes original research, reviews, and opinion pieces aligned with its scope. It is an open-access journal with no publication fees, supporting the principles of open science. 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
  • Machine learning and AI techniques for big data analysis

Quantum Computing and Emerging Systems

  • Quantum algorithms and their impact on computing
  • Quantum system architecture and hardware
  • Integration of quantum computing with classical 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 technology and its application in distributed systems
  • Consensus protocols and decentralized computing
  • Smart contracts, distributed ledgers, and cybersecurity

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 system architectures
  • Energy-efficient computing and hardware-software co-design

Operating Systems and Virtualization

  • Operating system theory and kernel design
  • Virtualization technologies and cloud computing systems
  • Resource scheduling, memory management, and file systems

Systems Theory and Design

  • System modeling, analysis, and simulation
  • Control theory, dynamical systems, and system optimization
  • System architecture and resource management

Applied Mathematics in Systems

  • Mathematical modeling of complex systems and processes
  • Optimization and decision-making in system design
  • Mathematical approaches to system stability and control