Welding and Cutting Case Studies with Supervised Machine Learning / Engineering Applications of Computational Methods Bd.1 (PDF)

University, Bangalore, India. He obtained his M.Sc. in Applied Computing from School of Computing from Edinburgh Napier University, Scotland, UK and also M.S. in Embedded Systems from Manipal Centre for Informational Science from Manipal University, Manipal, India. He has successfully completed several research projects and industrial consultancy projects. His research interests mainly focus on machine learning, deep learning and Advanced Driver Assistance Systems.

Prof. Liang Gao is a Professor of the Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China and Vice Director of State Key Laboratory of Digital Manufacturing Equipment, HUST. He received the B.Sc. degree in Mechatronic Engineering from Xidian University, Xi'an, China in 1996, and the Ph.D. degree in Mechatronic Engineering from HUST, Wuhan, China in 2002. He has published over 220 refereed papers. Prof. Gao's current research interests include optimization in design and manufacturing. He currently serves as Co-Editor-in-Chief of Collaborative Intelligent Manufacturing, and Associate Editor of Swarm and Evolutionary Computation, Journal of Industrial and Production Engineering and an editorial board member of European Journal of Industrial Engineering, Operations Research Perspectives. He also served as guest editor for Journal of Cleaner Production, International Journal of Computer Applications in Technology, and International Journal of Advanced Manufacturing Technology.

Dr. Xiaodong Niu is currently working as a Professor and the Head of the Department of Mechatronics Engineering at Shantou University. He received his Ph.D. degree from National University of Singapore (NUS), Singapore. He has worked in Toyota Central Research Institute, Japan from 2006 to 2008 and worked as an Associate Professor at Doshisha University, Japan from 2008 to 2012. His main research interests include computational modeling, analytical methods, computational fluid dynamics and optimization. He has published over 90 SCI Journals in the fields of computational modeling, analytical methods, fluid dynamics and optimization.

Dr. Akhil Garg is currently working as an Associate Professor in the Department of Mechatronics Engineering at Shantou University, China. He received his Ph.D. degree in Mechanical and Aerospace Engineering from Nanyang Technological University (NTU), Singapore in 2015. His main research interests include mathematical modelling, robust optimization, evolutionary algorithms, design for energy storage systems, applications of AI in sustainable manufacturing. He has published over 70 SCI journal articles, 2 books and over 1000 Web of Science citations. He has around 15 papers listed as "Highly Cited" in Web of Science and 2 ESI hot papers. He is currently serving as an editorial board member of SCI Mathematical Problems in Engineering and Deputy Editor-in-Chief of Collaborative Intelligent Manufacturing.