Computational Intelligent Techniques welcomes a diverse audience to learn about technological innovation in the mechatronics system. This comprehensive resource is designed to empower readers with the knowledge and skills in the rapidly evolving world of mechatronics. Equipped with knowledge about mechatronic systems, and discussions on cutting-edge technologies in the latest innovations, this book is a learning gateway with tools to design, analyze, and implement mechatronic systems across various industries.
Dive into 15 chapters covering the basics of mechatronics, computational intelligence approaches, simulation, and modeling concepts. This book will help research and development departments understand various branches of the engineering design process. Learn about challenges and opportunities in employing these techniques and how mechatronics proposes future research direction to optimize the system. Explore the components, challenges, and benefits of integrating AI in self-driving transportation systems. Lastly, read up on the latest mechatronics in altering current agriculture practices including productivity and sustainability.
Kolla Bhanu Prakash, PhD, is a professor and associate dean and R & D head for A.I. & Data Science Research Group at K L University, Vijayawada, Andhra Pradesh, India. He is also an adjunct professor atTaylors University, Malaysia. He has published 150+ research papers in international and national journals and conferences. He has authored two and edited 12 books as well as published 15 patents. His research interests include deep learning, data science, and quantum computing.
Satish Kumar Peddapelli, PhD, is the Director at the Rajiv Gandhi University of Knowledge Technologies, IIIT-Basara, and Professor of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, India. His areas of interest are power electronics, drives, multi-level inverters, special machines and renewable energy systems.
Ivan C.K. Tam, PhD, is an associate professor in the Dept. of Marine Engineering Design & Technology, as well as the Director of Innovation & Engagement at the University of Newcastle in Singapore. He has a wealth of experience in multi-disciplinary research and a strong track record of leading innovative projects. His research interests are in the clean fuel combustion process, exhaust emission control, energy management and renewable energy technology.
Wai Lok Woo, PhD, received his doctorate in statistical machine learning from Newcastle University, UK. Prof Woo currently holds the Chair in Machine Learning with Northumbria University, UK. He is the Faculty Director of Research (Engineering and Environment), and Head of Research for Data Science and Artificial Intelligence. He was previously the Director of Research for Newcastle Research and Innovation Institute, and Director of Operations of Newcastle University. His major research is in mathematical theory and algorithms for data science and analytics.
Vishal Jain, PhD, is an associate professor in the Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India. He has more than 16 years of experience in academics and has authored more than 100 research papers in reputed journals and conferences as well as edited several books with the Wiley-Scrivener imprint.
