SCS Journals

Time to First Decision
0 days
Review Process
0 days
Submission to Acceptance
0 days
Acceptance to Publication
0 days

About the Journal

Coming Soon

Artificial Intelligence Advances in Engineering is a forthcoming SCS Journals title exploring the rapidly evolving intersection of artificial intelligence and engineering.

Editorial appointments and submission information will be announced ahead of launch.

About the Journal

Aims and Scope

Artificial Intelligence Advances in Engineering is dedicated to advancing research and practice at the intersection of artificial intelligence (AI) and engineering. The journal provides a global platform for researchers, engineers, practitioners, industry leaders, policymakers, and technology innovators to share high-quality research and scholarship exploring the application, development, validation, assurance, and governance of AI-enabled engineering systems.

The journal welcomes research addressing both how AI can advance engineering and how engineering principles can inform the design, deployment, evaluation, assurance, and governance of intelligent systems.

We particularly welcome interdisciplinary research that brings together engineering, artificial intelligence, computer science, data science, physical sciences, manufacturing, infrastructure, energy, and related disciplines.

See planned article types for Artificial Intelligence Advances in Engineering below.

Dual Publication Scheme
Authors are encouraged to submit two companion articles: one presenting successful experimental results, and a second documenting negative or null findings.

Both articles will be assigned DOIs and will be fully citable, reflecting our commitment to valuing the entire spectrum of scientific discovery. Both articles are subject to thorough peer reviews.

Focus Areas

We welcome empirical studies, theoretical analyses, systematic and scoping reviews, methodological contributions, and position and perspective papers addressing, but not limited to, the following topics: AI-Enabled Engineering Design and Optimisation
  • Generative AI for engineering design
  • Design automation and intelligent design systems
  • Computer-aided engineering and AI-assisted modelling
  • Multi-objective optimisation and decision support
  • Data-driven engineering design
  • Engineering simulation enhanced by AI
Digital Twins and Intelligent Engineering Systems
  • AI-powered digital twins
  • Cyber-physical systems
  • Engineering informatics
  • Real-time monitoring and control systems
  • Intelligent asset management
  • Predictive modelling and forecasting
Manufacturing and Industry 4.0
  • Intelligent manufacturing systems
  • Smart factories and industrial AI
  • Automated quality control
  • Production optimisation
  • Industrial robotics
  • Human-machine collaboration in manufacturing
Robotics and Autonomous Systems
  • Autonomous vehicles and intelligent mobility
  • Engineering applications of robotics
  • Swarm intelligence and multi-agent systems
  • Autonomous inspection and maintenance
  • Robotics for hazardous and remote environments
  • Human-robot interaction
Infrastructure and Built Environment
  • AI for civil and structural engineering
  • Smart infrastructure and cities
  • Infrastructure resilience and risk management
  • Structural health monitoring
  • Transport and mobility systems
  • Construction automation and digital engineering
Energy and Sustainable Engineering
  • AI for energy systems and grids
  • Renewable energy optimisation
  • Smart energy management
  • Sustainable engineering systems
  • Climate adaptation and resilience
  • Resource efficiency and environmental monitoring
Reliability, Safety, and Trustworthy AI
  • Verification and validation of AI systems
  • Explainable and interpretable AI
  • AI robustness and uncertainty quantification
  • Engineering assurance and certification
  • Safety-critical AI applications
  • Cybersecurity for intelligent systems
Emerging Engineering AI Technologies
  • Foundation models for engineering
  • Scientific machine learning
  • Physics-informed machine learning
  • Edge AI and embedded intelligence
  • AI for advanced materials and chemical engineering
  • Emerging and future applications of AI in engineering
Ethics, Policy, and Governance
  • Responsible AI deployment
  • Regulatory frameworks and technical standards
  • Ethical engineering practice
  • AI governance and accountability
  • Human oversight and decision-making
  • Societal and environmental implications of engineering AI
Planned Article Types The journal will welcome a broad range of scholarly contributions, including:
  • Original Research
  • Scoping Reviews
  • Systematic Reviews
  • Methods and Protocols
  • Troubleshooting Articles
  • Short Format / Single Results Articles
  • Data Reports
  • Perspectives and Opinions
  • Conceptual Analyses
Full author and submission guidelines will be published ahead of launch. Submissions will be expected to contribute meaningfully to engineering knowledge and practice, demonstrate methodological rigour, and provide insights that support the responsible development and deployment of AI-enabled engineering systems. The journal particularly encourages interdisciplinary contributions that bridge engineering disciplines and AI research and that address the technical, practical, societal, and governance challenges associated with intelligent engineering systems.

Article Publishing Option

Open Access

Article processing charge (APC):
2000 USD (Excluding taxes)

Discounted APC:
$200 for all articles
submitted on or before
December 2026.

Subsequent Discounted APC:
$200 for submissions received through 31 December 2026.