Next-Generation Smart Systems

Bridging Sustainability and Computational Intelligence
1. Auflage 2026
ISBN: 978-1-041-34234-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 615 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Computer Science and Engineering

This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025). It provides a comprehensive exploration of how next-generation computing drives ecological and social resilience and highlights the pivotal role of intelligent automation and data-driven strategies in solving complex global challenges.

It delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), and high-performance computing to create "green" technological ecosystems. This book covers a broad spectrum of research, including smart grid management, precision agriculture, carbon footprint optimization through machine learning, and the development of circular economy models via blockchain. By synthesizing theoretical frameworks with real-world case studies, the contributions illustrate how advanced algorithms can minimize resource waste while maximizing industrial efficiency. Together, these papers offer a roadmap for sustainable digital transformation across energy, healthcare, and urban planning sectors by emphasizing the shift toward "Cognitive Sustainability", where systems do not just automate tasks but actively learn to balance human needs with environmental constraints.

This book is an essential resource for academic researchers, post-graduate students, and industry practitioners specializing in computer science and environmental engineering. It also serves policymakers and urban planners seeking data-backed strategies to implement sustainable technologies within smart city infrastructures and corporate ESG frameworks.

Zielgruppe

Academic and Undergraduate Core

Autoren/Hrsg.

Raju, Dara

Sekhar, V

Logesh, K.

Reddy, P. Ajay Kumar

Reddy, T. Raghunadha

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

Session 1: Artificial Intelligence and Machine Learning  Session 2: IoT, Smart Cities and Infrastructure  Session 3: Electronics, Embedded Systems and Communication  Session 4: Emerging Technologies and Interdisciplinary Applications

Über Autor(innen)

V. Sekhar is currently serving as an Associate Professor & Head at the Department of EEE, Kuppam Engineering College (Autonomous). He is a distinguished academician with over a decade of experience in teaching and research. He holds a Doctorate in Electrical Engineering, complemented by an M.E. in Power Systems and a B.Tech in EEE. His expertise lies in renewable energy technologies, power systems, and electric traction systems. An active researcher, Dr. Sekhar serves on the editorial boards of international journals such as Solar Energy and Brazilian Archives of Biology and Technology. He has authored numerous Scopus-indexed papers, including significant work on Linear STATCOM models for wind energy. Recently, he co-authored the book Artificial Intelligence and Deep Learning Fundamentals of Electric Circuits (2024), bridging the gap between AI and traditional electrical engineering.

P. Ajay Kumar Reddy is currently serving as an Associate Professor at the Department of ECE, Kuppam Engineering College. He specializes in Image Processing, Embedded Systems, and IoT. He earned his Ph.D. for developing a hybrid algorithm for face verification using sparse representation. With a decade of experience, his research is featured in SCI and Scopus-indexed journals. Dr. Reddy is a recognized innovator, having won a Silver Medal at the World Invention and Technology Expo (WINTEX) 2021 for his "Live Wire Detector" project. He is a certified Innovation Ambassador for the Ministry of Education and serves as an editor for the Journal of Engineering Research and Sciences (JENRS). His work frequently explores the intersection of machine learning and biomedical devices.

K. Logesh is currently serving as an Associate Professor & Head at the Department of CSE, Kongu Engineering College (KEC). He is a prominent leader in the fields of Artificial Intelligence, Machine Learning, and Cybersecurity. At Kongu Engineering College, he has been instrumental in developing industry-aligned curricula and fostering a culture of experiential learning. His research focuses on solving complex problems in secure computing and data-driven decision-making. Beyond the classroom, Dr. Logesh is deeply involved in the global academic community, serving as a Technical Program Committee member and reviewer for numerous international conferences. He is dedicated to mentoring the next generation of researchers in navigating emerging technological landscapes.

T. Raghunadha Reddy is currently serving as an Associate Professor & Head at the Department of CSE, Matrusri Engineering College. With over 21 years of teaching experience, he is a seasoned expert in Natural Language Processing (NLP), Text Classification, and Cloud Computing. He holds a Ph.D. from JNTU Hyderabad and has published over 65 research papers and seven textbooks. Dr. Reddy has received prestigious accolades, including the Best Researcher Award (2020) and the Jyesta Acharya Award (2022). For this conference, he serves as a Technical Committee Member and Session Chair, leveraging his extensive experience in academic coordination and peer review to ensure the highest scholarly rigor.

Dara Raju is currently working as a Professor at Vignana Bharathi Institute of Technology (VBIT). He is a veteran academic with over 20 years of experience in engineering education and administration. He holds a Ph.D. from JNTU Kakinada, with a core research focus on Data Mining and emerging computational technologies. Dr. Raju has held various leadership roles, including NAAC/NBA Documentation Head and Academic Council Member, contributing significantly to institutional governance. For this conference, he has taken an energetic, hands-on role as a Technical Program Committee member and Session Chair, where he oversees submission screening, peer-review coordination, and the facilitation of technical knowledge exchange during sessions.