Description

About The Book

We are living through a fundamental shift in how digital infrastructure works. The networks powering cloud platforms, autonomous vehicles, financial systems, and billions of connected devices can no longer be managed by human hands alone — the scale, speed, and complexity have simply outgrown traditional approaches.

Artificial Intelligence is not just improving networks. It is reimagining what a network can be — one that predicts congestion before it forms, reconfigures itself around failures in real time, and continuously optimizes without waiting for an engineer to intervene.

Artificial Intelligence in Computer Networks: Design, Optimization, and Automation is a rigorous, accessible guide to this transformation. Covering machine learning for traffic analysis, AI-driven topology design, intelligent fault detection, autonomous operation, and the future of self-designing networks — this book connects theory to the systems being built right now.

About The Author

Praneeth Reddy is a researcher and technology professional specializing in Artificial Intelligence and Computer Networks. His work focuses on applying AI techniques such as machine learning, predictive analytics, and intelligent automation to modern networking systems.
He is particularly interested in intelligent network design, autonomous infrastructure management, and AI-driven optimization of large-scale digital networks. Through his research and writing, he aims to help students, researchers, and technology professionals understand how Artificial Intelligence is transforming the future of computer networks.

His book “Artificial Intelligence in Computer Networks” explores the role of AI in building intelligent, adaptive, and self-optimizing network infrastructures for the next generation of digital technologies.