Transforming Industry using Digital Twin Technology - Hardcover

Hardcover

ISBN 10: 3031585224 ISBN 13: 9783031585227

Verlag: Springer, 2024

Inhaltsangabe

​ This book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world.

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Über die Autorin bzw. den Autor

Ashutosh Mishra has received his B.Tech. degree in Electronics and Communication Engineering from Uttar Pradesh Technical University Lucknow, India, in 2008. He has completed his Masters in Microelectronics & VLSI design from National Institute of Technology Allahabad, India, in 2011. He has earned his Ph.D. degree in 2018 from the Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi, India. He has worked as Assistant professor in Electronics and Communication Engineering at National Institute of Technology Raipur, India. He is recipient of the Korea Research Fellowship (KRF) 2019 provided by National Research Foundation of Korea through the Ministry of Science & ICT, South Korea. Currently, he is working as Research faculty & Postdoctoral researcher in Seamless Transportation Lab at School of Integrated Technology, Yonsei University, South Korea. His research interests include Smart sensors, Intelligent systems, Autonomous vehicles, and Artificial Intelligence, etc.

Prof. May El Barachi is the Head of School of Computer Science at University of Wollongong in Dubai. An Egyptian Canadian Computer Scientist, and Smart Technology Expert with degrees in Telecom. Engineering, Computer Engineering, and Computer Science, Prof. El Barachi possesses width and breadth of knowledge in the areas of Computer Science, IT, and Engineering. Prof. El Barachi is also a public speaker who participates in large-scale public events and speaks about technology-related topics, such as: Digital transformation, smart cities, emerging technologies & their related opportunities, demystifying complex technologies, and professional training in alignment with the industry needs.

Using her knowledge and experience, she conducts large scale multi-disciplinary projects in the areas of BioTech, Smart Transportation, Smart cities, Inclusion & Innovation. With collaborators spanning the globe, and a large group of researchers under her supervision, she tackles challenging real-life problems using a combination of legacy and emerging technologies. She is involved in industry collaborations with the telecom and health industries and was able to raise more than 4 Million Dirhams in the last 5 years to support her research work.

In addition to being a professor and active researcher, Prof. El Barachi holds leadership roles in teaching/learning and research. In her current role, she defines the research strategy for the faculty and ensures that the right eco-system is established for conducting high-impact research. She is also a champion and certified trainer in emerging technologies and have spearheaded a successful executive learning program in collaboration with IBM, currently offering 10 professional training modules ranging from AI, data science, and big data, to cloud, IOT, security and Blockchain, and design thinking. The idea of the program is to equip students and working professionals with important skills that are needed in the industry and complement conventional academic programs with professional hands on training.

Manoj Kumar completed his Ph.D. from The Northcap University and M.Sc. (Information Security and Digital Forensics) from Technological University Dublin, Ireland in 2013. He received fully-funded scholarship for the M.Tech and M.Sc. program from the MHRD, India abd Irish Government, respectively. Dr. Kumar is having more than 13.5+ years of research, teaching, and corporate experience. Currently, Dr. Kumar holds the position of Associate Professor at the University of Wollongong (UOWD) in Dubai. In addition, he serves as the UOWD Research Cluster Head for Network and Cyber Security. Dr. Kumar is listed among the top 2% of computer scientists worldwide. More than 175 of his publications have been published in international refereed journals and conferences. He published over 10 patents, delivered three international research funded projects, released three authored and eight edited books. In addition, he is also acting as an associate editor, Guest editor and member of editorial board for various scientific journals. His specializations are Digital Forensics, Machine Learning, Information Security, Image Processing, IOT and Computer Networking. Dr. Kumar is member of numerous renowned professional bodies some of them are like IEEE, ACM, IAENG, ISTS and UACEE. Dr. Kumar received the Best Researcher Award in 2020, an outstanding Scientist Award in 2021, and a Young Researcher Award in 2021 from recognized international professional bodies.

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​ This book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world.

• Discusses innovative features of Digital Twin and how it can improve economic efficiency
• Includes case studies of successful implementation across numerous domains
• Provides state-of-the art information on digital twin technologies, as well as applications in various domains

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 3031585224
• ISBN 13: 9783031585227
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 333
• Herausgeber: Mishra Ashutosh, El Barachi May, Kumar Manoj
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland