Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.

Focal points of the journal include, but are not limited to innovative applications of:
Internet–of–things and cyber-physical systems
Intelligent transportation systems & smart vehicles
Big data analytics, understanding complex networks
Neural networks, fuzzy systems, neuro-fuzzy systems
Deep learning and real world applications
Self-organizing, emerging or bio-inspired system
Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.
Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control
Decision-support systems
Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning
Applications of chaos theory and fractals
Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics
Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems
Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis
Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability
Intelligent fault detection, fault analysis, diagnostics and monitoring
Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises
Engineering Applications of Artificial Intelligence publishes:
Survey papers/tutorials
Contributed papers — detailed expositions of new research or applications
Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications
IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature

Survey papers/tutorials
Contributed papers
Brief papers
Case studies or software reviews
IFAC EAAI Forum