Ale Journal of Sustainable Intelligent Computing

This journal also publishes Open Access Articles

Aims and Scope

Ale Journal of Sustainable Intelligent Computing (AJSIC) aims to serve as a premier platform for the dissemination of rigorously peer-reviewed, high-quality research in the fields of supercomputing, high-performance computing (HPC), and intelligent computing. The journal is dedicated to advancing knowledge by bringing together theoretical foundations, innovative methodologies, and practical implementations that drive the evolution of intelligent computing systems. AJSIC focuses on exploring emerging computing paradigms, advanced architectures, and scalable systems that enable efficient and sustainable computation. AJSIC welcomes contributions spanning the full spectrum of HPC, including system design, services, algorithms, and real-world applications, while also addressing interdisciplinary domains such as operating systems, networking, and software engineering. A key aim of the journal is to deepen the understanding of natural computation and control principles, and to examine how these concepts can be adapted to enhance modern computer science, communication technologies, and intelligent control systems. By integrating insights from artificial intelligence, data-driven methodologies, and computational sciences, AJSIC seeks to promote innovative solutions to complex real-world challenges. Furthermore, the journal emphasizes the societal and human-centered impact of intelligent computing technologies, encouraging research that contributes to sustainable development and improved quality of life. Through the publication of cutting-edge research articles and comprehensive reviews, AJSIC aspires to foster collaboration among researchers, industry professionals, and practitioners, ultimately advancing the frontiers of intelligent computing science and technology.

Topics covered include:

• Computing methodologies for machine intelligence
• Emerging computing paradigms (quantum, photonic, bio-inspired, and brain-like computing)
• Advanced computing systems (heterogeneous, supercomputing, and distributed architectures)
• AI-driven computational technologies and intelligent resource management
• Trusted computing, privacy-preserving, and secure intelligent systems
• Ubiquitous, transparent, and adaptive computing environments
• Machine intelligence for scientific discovery (materials, biology, astronomy, and pharmacy)
• Agent-based systems and distributed artificial intelligence
• Autonomous reasoning and decision support systems
• Big data analytics, data mining, and knowledge discovery
• Intelligent scheduling, optimization, and engineering design systems
• Intelligent manufacturing, Industry 4.0, and production systems
• Robotics, automation, and human–machine interaction systems
• Power, energy systems, and industrial process optimization
• Uncertainty modeling and AI impact on social and business systems

Editor in Chief : Dac-Nhuong Le
Haiphong University
vietnam