Advances in Artificial Intelligence for Engineering Systems and Applications
Enfoque UTE invites researchers, academics, and industry professionals to submit original research articles for this Special Issue dedicated to recent advances in Artificial Intelligence applied to engineering systems and applications.
About this Special Issue
This Special Issue focuses on theoretical developments, methodological advances, and real-world implementations of Artificial Intelligence across multiple engineering domains within the category ENGINEERING, MULTIDISCIPLINARY.
Contributions are welcome in areas related to AI techniques, intelligent control, robotics, automation, sensing, embedded systems, signal processing, infrastructure, sustainability, agriculture, biomedical engineering, and data-driven engineering, in accordance with the thematic categories defined for this issue.
Publication Model
Articles will be published online with DOI immediately after acceptance (early online publication). Accepted papers will later be assigned to the complete Special Issue to be formally published on December 1, 2026.
Important Dates
| Milestone | Date |
|---|---|
| Opening of submissions | March 16, 2026 |
| Submission deadline | October 1, 2026 |
| Final publication of the complete Special Issue | December 1, 2026 |
Submission Instructions
Manuscripts must be submitted through the journal submission system. During the submission process, authors should select the Special Issue identified as:
Before submitting, authors should carefully review the journal’s author guidelines, formatting requirements, and editorial policies available on the submission page.
Submit Your ManuscriptThe submission page contains the complete Instructions for Authors and detailed information about the submission process.
Topics of Interest
The Special Issue welcomes contributions in the following areas, including but not limited to:
Core AI Techniques
- Machine Learning and Deep Learning Applications
- Computer Vision in Engineering Systems
- Natural Language Processing for Engineering and Technical Domains
- Reinforcement Learning in Control and Decision-Making Systems
- Explainable and Trustworthy AI in Engineering
- Other related AI techniques and methodologies
AI in Control, Robotics and Automation
- AI-Based Control Systems and Intelligent Control
- Robotics and Autonomous Systems Powered by AI
- AI in Industrial Automation and Smart Manufacturing
- Learning-Based Control and Adaptive Systems
- Other related intelligent control strategies, autonomous systems applications, and advanced robotic technologies
AI for Signal Processing and Sensing
- AI for Sensor Fusion and Multisensor Systems
- Intelligent Signal Processing and Feature Extraction
- AI in IoT, Embedded Systems and Edge Computing
- Smart Sensors and AI-Enabled Measurement Systems
- Other related AI-driven signal analysis methods, sensing technologies, and data interpretation techniques
AI in Electrical, Electronic and Computer Engineering
- AI for Power Systems, Smart Grids and Energy Management
- AI in Embedded Systems and Cyber-Physical Systems
- AI-Based Fault Detection and Diagnosis
- Hardware Acceleration for AI in Engineering Applications
- Other related AI applications in electronic systems, embedded platforms, communication networks, and cyber-physical infrastructures
AI in Mechanical, Industrial and Civil Engineering
- AI for Structural Health Monitoring and Predictive Maintenance
- AI in Mechanical Design, Optimization and Simulation
- AI for Construction Engineering and Smart Infrastructure
- Digital Twins and AI for Engineering Systems
- Other related AI methodologies for engineering design, optimization, infrastructure monitoring, and industrial processes
AI in Data-Driven Engineering
- Data-Driven Modeling and System Identification
- AI-Based Optimization and Decision Support Systems
- Big Data Analytics for Engineering Applications
- AI for Reliability, Safety and Risk Assessment
- Other related data-centric modeling approaches, intelligent analytics frameworks, and decision-support methodologies
AI in Biomedical and Human-Centered Engineering
- AI in Biomedical Engineering and Healthcare Systems
- AI for Biomechanics, Gait Analysis and Rehabilitation Engineering
- Human-Centered and Assistive Engineering Systems Using AI
- Other related AI applications in healthcare technologies, assistive systems, and human-centered intelligent solutions
AI in Agricultural Engineering
- Computer Vision for Precision Agriculture
- AI-Based Crop Monitoring and Yield Estimation
- Vision-Based Plant Disease Detection and Phenotyping
- AI for Agricultural Robotics and Autonomous Farming Systems
- Remote Sensing, UAVs and AI for Agricultural Engineering
- Other related AI applications in smart agriculture, precision farming, agri-food systems, and agricultural automation
AI for Sustainability and Emerging Applications
- AI for Sustainable Engineering and Green Technologies
- AI in Transportation, Mobility and Smart Cities
- AI Applications in Environmental and Geospatial Engineering
- Emerging AI Applications in Engineering Domains
- Other related sustainable AI solutions, green technologies, and emerging interdisciplinary applications
Editorial Team
This Special Issue is supported by the editorial leadership of Enfoque UTE and an expanding group of Associate Editors from different engineering areas.
Editors-in-Chief
Managing Editor
Associate Editors
Additional invited editors may join the Special Issue editorial team as the call progresses.
Review Commitment
Submitting authors are expected to contribute as peer reviewers for other manuscripts within this Special Issue.
Upon request, Enfoque UTE may issue an official certificate recognizing the contribution as Reviewer or Guest Editor.
Journal Information
Indexing: Web of Science (JCR), SciELO, Redalyc
ISSN: 1390-9363
EISSN: 1390-6542
JCR 2024: Q4 in ENGINEERING, MULTIDISCIPLINARY
Journal Citation Indicator (JCI): 0.11
Ranking JCI: 151/179
Ranking Journal Impact Factor: 159/179
