New Approaches to Data Analytics and Internet of Things Through Digital Twin (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today's modern world.

New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Karthikeyan Periyaswami obtained his Bachelor of Engineering (B.E.) in Computer Science and Engineering from Anna University, Chennai, and Tamil Nadu, India in 2005 and received his Master of Engineering (M.E) in Computer Science and Engineering from Anna University Coimbatore, India in 2009. He completed his Ph.D. degree at Anna University, Chennai in 2018. He has worked as post doctorate research fellow at the Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan. He has contributed to the national projects on using Technology to promote Human Rights and sustainable development, supported by the National Science and Technology Council, Taiwan. He possesses a high level of proficiency in project development and research, specializing in the domains of Cloud computing and the practical application of deep learning. He is well-versed in programming languages, including Java, Python, R, and C. His research endeavours have led to the publication of more than 30 papers in esteemed international journals, many of which have garnered commendable impact factors. Furthermore, he has shared his research insights through presentations at over 20 international conferences, solidifying his reputation within the academic community.

Polinpapilinho F. Katina is an Associate Professor in the Department of Informatics and Engineering Systems at the University of South Carolina Upstate (Spartanburg, South Carolina, USA). He has served in various capacities at the National Centers for System of Systems Engineering (Norfolk, Virginia, USA), Old Dominion University (Norfolk, Virginia, USA), Politecnico di Milano (Milan, Italy), Embry-Riddle Aeronautical University (Daytona Beach, Florida, USA), The University of Alabama in Huntsville (Huntsville, Alabama, USA), and Syracuse University (Syracuse, New York, USA). He holds a B.S. in Engineering Technology (Old Dominion University, Norfolk, Virginia, USA), M.Eng. in Systems Engineering (Old Dominion University, Norfolk, Virginia, USA), and Ph.D. in Engineering Management and Systems Engineering (Old Dominion University, Norfolk, Virginia, USA). He received additional training at the Politecnico di Milano (Milan, Italy) in the Energy Department in the Nuclear Division - Laboratory of Signal Analysis and Risk Analysis. His research is focused in the areas of Complex System Governance, Critical Infrastructure Systems, Decision Making and Analysis, Emerging Technologies (e.g., IoT), Energy Systems (Smart Grids), Engineering Management, Infranomics, Manufacturing Systems, System of Systems, Systems Engineering, Systems Pathology, Systems Theory, and Systems Thinking. His profile includes nearly 200 peer-reviewed journal articles, conference proceedings, and book chapters. He has also co-authored eleven (11) books [5 monographs & 6 edited]. He is a Senior Member of IEEE and Epsilon Mu Eta (Engineering Management Honor Society), ABET Program Evaluator, and journal editor for several journals: Advanced Manufacturing (ELSP), Control and Engineering of Complex Systems Frontiers in Complex Systems (Frontiers Media SA), Cureus Journal of Engineering (Springer/Nature), Discrete Dynamics in Nature and Society (John Wiley), International Journal of Critical Infrastructures (Inderscience), and International Journal of System of Systems Engineering (Inderscience).

Dr. S. P. Anandaraj received B.E (CSE) degree from Madras University, Chennai in the year 2004, M.Tech (CSE) with Gold Medal from Dr. MGR Educational and Research Institute, University in the year 2007 (Distinction with Honor) and Ph.d in August 2014.He is presently working as Associate Professor CSE in Presidency University,Bangalore. He has 15+ Years of Teaching Experience. His areas of interest include Information security, Data Science, Machine Learning and Networks. He wrote two book chapters in IGI Global Publications USA. He filled the 4 patents for the growth of research. He has published 50+ papers in various national and International Journals, national and International Conferences. He serving as an Editorial members for reputed journals. He also attended many National Workshops/FDP/Seminars etc. He is a member of ISTE, CSI, Member of IACSIT and Member of IAENG.