Xin-she Yang obtained his D.Phil. in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a senior research scientist. Now, he is a reader at Middlesex University London and an elected fellow of Institute of Mathematics and its Applications (FIMA). He was the IEEE CIS chair for the Task Force on Business Intelligence and Knowledge Management (2015-2020). He was also an editor-in-chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO) (2009-2022). With more than 20 years of teaching and research experience, he has authored more than 10 books and edited more than 15 books. He has published more than 250 peer-reviewed research papers with nearly 86,000 citations. According to Clarivate Analytics/Web of Sciences, he has been on the prestigious list of highly cited researchers for eight consecutive years (2016-2023).

Engineering Applications of Swarm Intelligence.- Swarm Intelligence Algorithms and their Engineering Applications.- Engineering Design Optimization using Flower Pollination Algorithm.- Convergence Catalysts: Exploring Fusion of Embedded Systems, IoT and AI.- Metaheuristic Algorithms an Optimizers: Prospects and Challenges.-     Depth Perspective-Aware Multiple Object Tracking.- AI in Production Systems and Integration with Lean Manufacturing.- Flower Algorithm Parameter Tuning and Applications.- Data Imputation and AI in Healthcare.- Swarm Intelligence in 5G Communications.- Optimizing Camera Placement for Maximum Coverage of Simple Polygons with Holes: Deterministic Approaches and Swarm Intelligence Algorithms.- Comparison of the Bat Algorithm with Other Algorithms for Engineering Applications.- Applications and Modifications of Metaheuristics in Engineering Systems.- Electrical Design Problems by Using Swarm-Based Algorithms.- Applications of AI in Civil Engineering: Reviews and Recent Developments.- Enhancing SPECT 2D Reconstruction from 1D Projections Through the Integration of Various Generative Models for Improved Image Quality. Application of Wireless Communications and Drone.

The book is focused on latest developments and findings on engineering applications of AI and swarm intelligence. It provides comprehensive reviews and surveys on implementations and coding aspects of case studies and applications where appropriate. The book is useful for scholars, lecturers, and practitioners from academia and industrial applications. The readership of this book also includes Ph.D. students and researchers with a wide experience in the subject areas.