The Convergence of Self-sustaining Systems With Ai and Iot

Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT , which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.

Roopa Chandrika R, completed Bachelors in Computer Science and Engineering in the year 1997, Master's in Computer Science and Engineering in the year 2006 and completed PhD in the year 2017 under image processing domain. A good experience in teaching for the past 20 years. Currently working as Professor, in the department of Computer Science at KAHE,Coimbatore. The field of interests in continuing this career are image processing, data mining and analysis. Authored book chapters in book series under CRC Press, Taylor Francis. Have a good skills in programing in Python and also good knowledge in Matlab tool and Data visualisation tools. Also interested in web programming. The research experience has given the path in publishing articles in peer reviewed journals in the scope image processing, data mining and analysis.

N.S. Gowri Ganesh graduated with a B.E. and an M.E. in computer science and engineering from Bharathiar University in Coimbatore, India in 1993 and 2000, respectively,. In 2015, he also graduated with a Ph.D. in computer science and engineering from Chennai's Anna University. He is a member of the academic board of several colleges' boards of studies. He served as a C-DAC representative on the syllabus framing committee for "Free and Open source software" at Anna University. He had served as the chair of several technical panels on open-source projects and service-oriented architecture. He had given guest lectures at a number of different institutions. His areas of interest include blockchain technology, provenance, IOT, cloud computing, and semantic web services. He has research papers published in IEEE and SCI publications as well as national and international conferences. Additionally, he had contributed book chapters for academic journals including IGI-Global, Springer, and CRC Press.

Alfred Daniel J. received his B. Tech in Information Technology from Anna University, Chennai, India, and his MBA in Software Enterprise Management from Anna University Coimbatore, India. Later, he joined the School of Computer Science and Engineering, Kyungpook National University, Korea, where he completed his Master's in Computer Engineering at the Connected Computing and Media Processing (CCMP) Lab. Currently, he is working as an Assistant Professor at Karpagam Academy of Higher Education, India. In 2014, he visited National Taiwan University (NTU), Taiwan as an Intern at Intel lab. Since 2015, he has published over 40 International Journal and Conference papers in vehicular networks, Internet of Things and Big Data Analytics. In 2016, he registered a Korean Patent entitled "Cooperative Cognitive Intelligence for Internet of Vehicles". In 2016, he also authored one Elsevier Morgan Freeman book publication, Intelligent Vehicular Communications: Fundamentals, Architectures, and Solutions - Elsevier. He won the Best paper award at the ICSNS conference 2015 at SNS College of Technology, Coimbatore. Moreover, he is the recipient of ACM Travel Grants for the prestigious conference ACM SAC 2014. He is an active IEEE member and serves several reputed conferences/journals as a reviewer. His research interests include vehicular networks, Intelligent Transportation Systems (ITS), Cooperative Cognitive Intelligence, the Internet of Things (IoT), and Big Data Analytics.

Awais Ahmad received the Ph.D. degree in computer science from Kyungpook National University, Daegu, Korea. He is currently working as an Assistant Professor with the Department of Computer Science, Air University, Islamabad, Pakistan. Previously, he was a Postdoctorate Researcher with University degli Studi di Milano, Milan, Italy. In 2014, he was a visiting Researcher with INTEL-NTU, National Taiwan University, Taipei, Taiwan, where he was working on Wukong Project (Smart Home). Since 2013, he has published more than 150 international journals (Cumulative Impact Factor: 260+)/conferences/book chapters in various reputed IEEE transactions, IEEE magazines, ACM transactions, Elsevier and Springer journals, and articles in leading conferences. He was also serving as a Lab Admin of CCMP Labs from 2013 to 2017. His research interests include deep learning, machine learning, artificial intelligence, denoising and demosacking, Big Data analytics, sensor and ad hoc network, and Internet of Things. Dr. Ahmad was the recipient of four prestigious awards, including IEEE Best Research Paper Award in UWSS 2015, Research Award from President of Bahria University Islamabad, Pakistan in 2011, best Paper Nomination Award in WCECS 2011 at UCLA, Los Angeles, CA, USA, and best Paper Award in 1st Symposium on CS&E, in 2013. He was also awarded as the Best Outgoing Researcher of CCMP labs. R. Santhosh received his B.Tech degree in Information Technology from K.S.R College of Technology in 2006, M.E degree in Software Engineering from Sri Ramakrishna Engineering College in 2009, M.B.A in Education Management from Alagappa University in 2011 and Ph.D. in Computer Science and Engineering from Karpagam Academy of Higher Education in 2016. He is currently working as a Professor and Head of the Department of Computer Science and Engineering, Faculty of Engineering at Karpagam Academy of Higher Education. He has published over 90 research articles in international journals indexed in Scopus and Web of Science. His research interests include Cloud Computing, Distributed & Parallel Computing, Artificial Intelligence and Data Science.