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