Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as knowledge discovery, spatial indexing, and data mining, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.
Dr. Qiang Xu has been Senior Lecturer in Mechanical/Automotive Engineering at the School of Computing and Engineering, since June 2013 to present. He is a specialist in computational creep damage mechanics. Previously, Dr Xu was Senior Lecturer in Mechanical/Manufacturing Engineering in the School of Science and Engineering at Teesside University from 2006 to 2013. In this role, Dr Xu supervised a number of PhD research projects and completed over 15 consultancy and grant applications. In addition he has held academic appointments at the Swansea Institute of Higher Education and as a Research Fellow and Senior Research Fellow at the University of Huddersfield and Research Associate at UMIST, Manchester, UK. Dr Xu’s research work mainly on the computational modelling and analysis for engineering and his work has been cited worldwide by researchers in eight nations including China, the USA, Germany, India, Iran, Russia et al. Further information can be found at University website: https://www.hud.ac.uk/