Data-Centric Engineering

Data-Centric is playing such an increasingly important and pivotal role in all fields of science and technology that its profound impact in reshaping our global society is considered as the fourth industrial revolution. Data-Centric schemes, such as artificial intelligence algorithms, including various machine learning methodologies, are now widely used by scientists and practicing engineers to solve a wide range of hitherto intractable problems in multi-disciplinary fields. This new Book Series, founded by Walter de Gruyter GmbH, Germany, plans to provide an international forum for the rapid publication of work describing the practical application of Data-Centric in all branches of engineering and applied sciences. Data-Centric Engineering is a substantive development that impacts the future of engineering sciences, the associated professions, practice, and policy.

Publication of papers contributed to and published in these book series will be free, and there won’t be any publication or processing fees. Focal points of the series 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 systems
Global optimization, Meta-heuristics, and their applications
Architectures, algorithms, and techniques for distributed AI systems, including multi-agent-based control and holonic

control

Decision-support systems
Digital twins and their increasing applications in all fields of engineering and applied sciences
Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive, and approximate

reasoning

Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory
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
All aspects of data-centric in 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
Robotics
Application of AI methodologies and how they are changing engineering, medical and physical sciences fields
Any other relevant applications

We welcome the submission of a one-page Book proposal that explains how the proposal fits the scope, and the goal of the Book series described broadly above. Proposed books can be a collection of invited chapters, monograms, textbooks, case studies, or any other formats.

Please direct any inquiries to Prof. Mohammad Noori (mnoori@calpoly.edu), Prof. Fuh-Gwo Yuan (yuan@ncsu.edu), and Dr. Ehsan Noroozinejad (ehsan.noroozinejad@ubc.ca).