Applications of Artificial Intelligence in Industrial Engineering, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 197
Special Issue Editors
Interests: big data privacy protection; intelligent buildings; information-based building management systems; energy consumption prediction
Special Issues, Collections and Topics in MDPI journals
Interests: AI; data-driven design; parametric structural optimization
Special Issues, Collections and Topics in MDPI journals
Interests: clean coal technologies; hydrogen production; geological CO2 and H2 storage; geothermal energy; sustainable unconventional recoveries
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI), machine learning (ML), and data analytics are progressively transforming traditional approaches to industrial engineering. These technologies are integral to a growing number of applications, such as autonomous robots, smart city design, the Internet of Things (IoT), and intelligent facility management, where they play critical roles across different stages of the engineering lifecycle.
Despite their significant potential, the adoption of modern AI and ML techniques for emerging engineering problems is often hindered by performance uncertainties and challenges in interpreting the underlying physical and mathematical principles of algorithms. While a well-implemented AI-enabled sensing system is recognized as a key factor in efficient engineering projects, these obstacles remain. Existing research has addressed numerous issues, yet concerns continue to emerge with rapid technological advancements and shifting client demands.
This Special Issue establishes an international forum for exchanging the latest research findings on AI, ML, and data analytics applied in industrial engineering challenges. It distinguishes itself by focusing specifically on the intersection of novel methodologies and their practical applications in response to current gaps. Highlighting emergent methods and systems, with this Special Issue we aim to cover topics including, but not limited to:
- The integration of AI in industrial engineering problems;
- Information modeling for smart cities;
- Automatic and robotic devices;
- Human–computer interactions in industrial engineering;
- AI in engineering management technologies;
- Recent developments in IoT technology;
- Big data analysis for industrial engineering applications.
Prof. Dr. Ke Yan
Dr. Vincent Gan
Dr. Liangliang Jiang
Guest Editors
Manuscript Submission Information
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Keywords
- AI algorithms
- machine learning
- data analytics
- industrial engineering
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