Intelligent Computing for Real-World Digital Transformation ; Volume – II : Artificial Intelligence for Smart Systems, Vision, and Secure Digital Infrastructure

Intelligent Computing for Real-World Digital Transformation; Volume II: Artificial Intelligence for Smart Systems, Vision, and Secure Digital Infrastructure brings together contemporary research and applied innovations that enable scalable, resilient, and intelligent digital ecosystems. This volume focuses on three high-impact pillars: AI for smart systems, computer vision and visual analytics, and secure digital infrastructure. The chapters explore machine learning and deep learning methods for IoT and cyber-physical systems, intelligent automation, smart cities, precision agriculture, industrial monitoring, and energy-aware optimization.

A dedicated vision track presents advances in image/video understanding, detection and tracking, medical and remote-sensing vision, multimodal learning, and edge AI for real-time perception. The security track addresses trustworthy AI, anomaly detection, secure communication, privacy-preserving learning, intrusion detection, blockchain-enabled assurance, and AI-driven risk intelligence for critical infrastructures.

With a strong emphasis on deployment realities data pipelines, evaluation protocols, hardware constraints, and governance this volume serves as a practical reference for researchers, students, and practitioners building robust AI-powered smart applications and secure digital services for next-generation transformation.

Mr. P. Yogendra Prasad is a dedicated academician, researcher, and mentor in the field of Artificial Intelligence and Intelligent Systems. He holds a Master’s degree in Computer Science and Engineering from Jawaharlal Nehru Technological University Anantapur (JNTUA). He is currently pursuing his Ph.D. in Computer Science and Engineering at Mohan Babu University, Andhra Pradesh, with a research focus on machine learning, image processing, and computer vision.
With a strong commitment to applied research and outcome-based education, Mr. P. Yogendra Prasad has guided and supervised numerous student projects that address real-world problems across healthcare, agriculture, cybersecurity, finance, and smart systems using machine learning, deep learning, natural language processing, and computer vision techniques. His work emphasizes the translation of theoretical AI models into practical, deployable solutions.
He has published research articles in reputed international journals and conference proceedings and actively contributes to interdisciplinary research that bridges artificial intelligence, medical informatics, and intelligent automation. His academic interests include AI-driven healthcare analytics, visual intelligence, and language-based systems, with a special focus on developing socially impactful and ethically responsible AI technologies.