Digital Twins: Basics and Applications

Zhihan Lv · Elena Fersman

2022年11月 · Springer Nature

電子書

頁

評分和評論未經驗證瞭解詳情

關於本電子書

This book comprehensively introduces readers to Digital Twins, from the basic concepts, core technologies and technical architecture, to application scenarios and other aspects. Readers will gain a profound understanding of the emerging discipline of Digital Twins. Covering the latest and cutting-edge application technologies of Digital Twins in various fields, the book offers practitioners concrete problem-solving strategies. At the same time, it helps those working in Digital Twins-related fields to deepen their understanding of the industry and enhance their professional knowledge and skills. Given its scope, the book can also be used as teaching material or a reference book for teachers and students of product design, industrial design, design management, design marketing and related disciplines at colleges and universities. Covering a variety of groundbreaking Digital Twins technologies, it can also provide new directions for researchers.

關於作者

Zhihan Lv is IEEE Senior Member, British Computer Society Fellow, ACM Distinguished Speaker, Full Member of Sigma Xi, Career-long Scientific Influence Rankings of Stanford's Top 2% Scientists, Marie Skłodowska-Curie Fellow, Elsevier Highly Cited Chinese Researcher. He has contributed 300 papers including more than 70 papers on IEEE/ACM Transactions. He is Editor-in-Chief of Internet of Things and Cyber-Physical Systems(KeAi), an Associate Editor of 22 journals including ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Transactions on Intelligent Transportation System, IEEE Transactions on Network and Service Management, IEEE Technology Policy and Ethics Newsletter, Early Career Advisory Board member of IEEE/CAA Journal of Automatica Sinica. He is General Chair, Co-Chair or TPC of 50 conferences including ACM MM 2021-2022, ACM IUI 2015-2022. He has reviewed 400 papers. He has received more than 20 awards from China, Europe, IEEE. He has supervised the students to get more than 20 awards. He has given 80 invited talks for universities and companies in Europe and China. He has given 20 keynote talks for International conferences.

Elena Fersman is a Docent and an Adjunct Professor in Cyber-Physical Systems specialized in Automation at the Royal Institute of Technology in Stockholm. She holds a Ph.D. in Computer Science from Uppsala University, a Master of Science in Economics and Management from St. Petersburg Polytechnic University and did a postdoc at the University Paris-Saclay. She has a 16+ years of experience applying AI and other software technologies in sectors such as telecom, production systems and intelligent transport systems. Elena is a Global Head of AI Research at Ericsson. She is a Member of the Board of Directors of RISE Research Institutes of Sweden and a Member of nomination committee of the Polhem Prize. Elena has Co-authored over 50 patent families.