The Spectrum of Computer Science: Emerging Technologies and Trends (Studies in Smart Technologies) - Hardcover

Sardar, Tanvir Habib

Hardcover

ISBN 10: 3032196310 ISBN 13: 9783032196316

Publisher: Springer, 2026

Synopsis

This book explores the foundational principles and emerging advancements shaping modern computing, bridging theory and practice across technologies, transforming today’s 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.

About this title

About the Author

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. Sardar’s 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.

From the Back Cover

This book explores the foundational principles and emerging advancements shaping modern computing, bridging theory and practice across technologies, transforming today’s 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.

Edition details

• Publisher: Springer
• Publication date: 2026
• Language: English
• ISBN 10: 3032196310
• ISBN 13: 9783032196316
• Binding: Hardcover
• Number of pages: 281