Dr. V. Sindhu, Dr. Kannan M, Dr. N. Rajasekaran, Dr. A. Syed Haroon
Indexed In: Google scholar
Release Date: To be updated | Copyright:©2026 | Pages: 569
ISBN10: 0 | ISBN13: 0
"AI-Driven Drone Systems: Intelligent Applications in Smart Infrastructure, Healthcare, Security, and Sustainable Environments" explores the groundbreaking convergence of artificial intelligence (AI) and drone technology. This book focuses on how AI enhances drone systems, enabling them to perform complex tasks autonomously and intelligently. The integration of AI into drones opens up numerous applications across critical sectors, including smart infrastructure, healthcare, security, and sustainability. From enabling real-time data analysis for urban development to transforming emergency healthcare responses, improving public safety, and monitoring environmental changes, AI-powered drones are set to redefine industries. This book provides insights into the latest technological advancements, challenges, and future possibilities for AI-driven drone applications. With contributions from leading experts, it offers a comprehensive understanding of the capabilities and potential of these intelligent systems, which are poised to address some of the most pressing challenges of the modern world.
This book covers a wide range of applications of AI-driven drone systems, including:
Dr. V. Sindhu is an Assistant Professor in the Department of Computer Science at CHRIST (Deemed to be University), Bengaluru, with over 13 years of teaching and research experience. She holds a Ph.D. in Computer Science from Bharathiar University and specializes in Image Processing, Data Mining, and Machine Learning.Her research contributions include numerous publications in Scopus, Web of Science, IEEE, and reputed international journals and conferences. She has authored multiple books and book chapters with publishers such as Elsevier, Taylor & Francis, IGI Global, and Apple Academic Press. She serves in key academic roles, including Technical Program Committee Chair for IEEE ICCIST 2025. She has secured funded research projects as Principal Investigator and Co-Principal Investigator in interdisciplinary AI domains. She holds multiple patents in AI, IoT, and applied computing technologies. Through teaching, research, innovation, and mentorship, she actively contributes to advancing AI-driven computer science education and societal impact.
Dr. Kannan M is an academic and researcher in Machine Learning and Artificial Intelligence, currently serving as Assistant Professor in the Department of Computer Science at CHRIST University, India. He holds a Ph.D. in Computer Science, with research focused on AI-driven infectious disease prediction and healthcare analytics. His scholarly work spans Generative AI, Explainable AI (XAI), and synthetic data modelling, with publications in Q1 and Q2 international journals. Dr. Kannan actively supervises postgraduate research and contributes to curriculum development and academic training initiatives. His current research advances data-centric and responsible AI solutions for real-world healthcare applications.
Dr. N. Rajasekaran is an Assistant Professor in the Department of Computer Science at CHRIST (Deemed to be University), Bengaluru, with over 15 years of teaching and 2 years of industry experience. He completed his Ph.D. in Computer Science in 2024 and holds M.Phil., MCA, BCA, and B.Ed. degrees.His teaching emphasizes practical learning, student engagement, and technology-enabled instruction. His academic interests include Machine Learning, Software Engineering, Data Analytics, Web Technologies, and Educational Technology. He has served as a Guest Professor at Shangqiu Normal University, China. He has published research papers in Scopus, Web of Science, and IEEE-indexed journals and conferences. He holds a patent on spam comment classification using machine learning and has authored a book chapter on crop yield prediction. He actively contributes as a reviewer, organizer, and resource person, supporting student development and academic excellence.
Dr. A. Syed Haroon is a Senior Lecturer and Head of the Computer Science Department at Skyline University Nigeria. He earned his Ph.D. in Computer Science, specializing in Parkinson’s disease diagnosis using Machine Learning techniques. With over 22 years of academic and industry experience, he is an expert in Cloud Computing (Microsoft Azure and AWS), .NET Full Stack Development, DevOps, and Machine Learning. He is also a Microsoft Certified Trainer and holds six Microsoft Azure certifications. Dr.A.Syed Haroon has published 20 research articles in national and international journals, holds 3 patents, and has delivered more than 50 national and international seminars and conference presentations, focusing on bridging theoretical knowledge with practical technology skills.
