The Spectrum of Computer Science: Emerging Technologies and Trends

Lieferzeit: Lieferbar innerhalb 14 Tagen

181,89 

Studies in Smart Technologies

ISBN: 3032196310
ISBN 13: 9783032196316
Autor: Sardar, Tanvir Habib
Verlag: Springer Verlag GmbH
Umfang: xxiii, 258 S., 3 s/w Illustr., 60 farbige Illustr., 258 p. 63 illus., 60 illus. in color.
Erscheinungsdatum: 14.04.2026
Auflage: 1/2026
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 9431568 Kategorie:

Beschreibung

This book explores the foundational principles and emerging advancements shaping modern computing, bridging theory and practice across technologies, transforming todays world. It begins with an introduction to modern computer science before covering key topics such as generative AI, creative content generation, quantum computing, data analytics, and machine learning. Ethical aspects of AI are highlighted to encourage responsible innovation. Chapters on big data and data science show how large datasets drive insights. The book also examines blockchain, edge computing, and IoT, with applications in finance, health care, and logistics. Additional sections include robotics, cybersecurity, human-computer interaction, and cloud computing, emphasizing their roles in building secure, connected systems. Blending core and emerging concepts of computer science with case studies, the book equips students, researchers, professionals, and enthusiasts to navigate an evolving technological landscape.

Autorenporträt

Dr. Tanvir Habib Sardar is Associate Professor in the Department of Computer Science and Engineering, School of Engineering, at Dayananda Sagar University, Bengaluru, India. With over 17 years of academic and research experience, he specializes in big data, machine learning, distributed computing, artificial intelligence, and emerging computing paradigms. He has published 62 Scopus-indexed research articles, authored and edited over ten books, and holds more than a dozen patents. Dr. Sardars current research focuses on scalable machine learning models, including quantum computing, quantum-optimized intelligent systems, neuro-fuzzy computing, and deep learning, alongside distributed frameworks such as Hadoop. His work bridges theoretical foundations with real-world application, fostering innovation, problem-solving, and critical thinking among students and researchers. Beyond his scholarly contributions, he actively engages in curriculum development, accreditation processes, and mentoring initiatives that support future-ready engineering education.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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