Edge Artificial Intelligence

Manju Khari serves as Professor in the School of Computer and Systems Sciences at Jawaharlal Nehru University in New Delhi, India. She contributed to information security, Software Security Testing, Computer Networks, the Internet of Things, Cyber Forensics, and Deep Learning. Before joining JNU, she worked with Netaji Subhas University of Technology, East Campus, under the auspices of the Government of NCT Delhi. Dr. Khari is a PhD holder in Computer Science and Engineering from the prestigious National Institute of Technology Patna. She also holds a master’s in information security from Guru Gobind Singh Indraprastha University in Delhi, India. Her prolific research portfolio includes over 100+ published papers in premier refereed National and International Journals and Conferences, including highly regarded publishers such as IEEE, ACM, Springer, Inderscience, and Elsevier. Dr. Khari has also co-authored two books published by NCERT and co-edited 10 edited books, further solidifying her status as a leading scholar in her field. Dr. Khari is serving as a reviewer/technical program committee member for various international conferences. Dr. Khari's reputation as a rigorous and meticulous scholar has earned her positions as Associate Editor/Guest Editor for Springer, Wiley, and Elsevier books and a reviewer for several leading international journals. Dr. Khari's expertise is not limited to academia, as she is also a highly valued member and research consultant of several noteworthy projects in collaboration with prominent institutions such as AIMS, the Department of Biotechnology (DBT), DST, and the CSIR-NPL under the Ministry of Consumer and Legal Affairs in India. These projects are invaluable to advancing research and development in her field, further underscoring her reputation as a trailblazer in Computer Science and Engineering.Priya Gupta is presently working as an Associate Professor at the Atal Bihari Vajpayee School of Management and Entrepreneurship at Jawaharlal Nehru University (JNU), New Delhi, India. Specializing in business analytics, data visualization, and various programming languages, she has made 20 plus years significant contributions through her teaching and research. Dr. Gupta holds a Ph.D. from BIT Mesra, India, focusing on customer relationship management systems in banking, and has a strong educational background, including an M.Phil. in Computer Science, an MCA, a PGDITM (Gold Medalist). Her career includes roles in both academia and industry, starting as an Assistant Software Engineer at the Center for Railway Information System (CRIS), and later teaching at institutions like Maharaja Agrasen College, Vivekanand College, and Shaheed Sukhdev College of Business Studies before joining JNU. Dr. Gupta’s research covers a wide range of topics, including business analytics, compiler design, and AI applications in finance and healthcare. She has published extensively in reputable journals and authored several books. Her projects include empirical research on the National Education Policy 2020 and the Skill India Mission, and she has been involved in innovation projects funded by the University of Delhi. Her patents include a smart grid network for electricity supply in smart cities and an IoT-based electric vehicle charging system. Dr. Gupta has also chaired sessions and organized committees for numerous international conferences, reflecting her leadership in the academic community.Chandan Pal Singh is distinguished educator, accomplished book editor, and internationally certified Global Citizenship Education (GCED) and Digital Citizenship trainer with over 18 years of international teaching experience in Computer Science and Information Technology across Kazakhstan, India, Indonesia, China, and Singapore. Renowned for his expertise in integrating educational technology, AI, and machine learning into teaching practices, Chandan has co-authored and edited numerous influential books and published over 50 research papers in leading international journals. As an active member of various educational societies and a certified trainer under APCEIU, UNESCO, Chandan is committed to advancing innovative instructional methods, fostering global citizenship, and promoting academic excellence.

• Part 1: FoundationsTheme 1: Introduction – The Rise of Edge AIChapter 1: Edge AI: Transforming Computing from Cloud to EdgeTheme 2: Fundamentals of Edge ComputingChapter 2: Edge Computing FundamentalsPart 2: ApplicationsTheme 3: Smart Cities and Edge AI: Applications and Case StudiesChapter 3: Smart Cities and Edge AI: Applications and Case StudiesChapter 4: The Rise of Smart Cities: AI‑Driven Urban EvolutionChapter 5: Edge AI in Smart Cities: A Conceptual Framework for Intelligent Urban InfrastructureTheme 4: Industrial Applications of Edge AI: Transforming ManufacturingChapter 6: Innovating Industry 4.0: A Deep Dive into Technological Trends, Cyber‑Security Solutions, and Their Industrial EffectsTheme 5: Beyond Industry and Cities – Exploring Edge AI Applications in Diverse FieldsChapter 7: Healthcare on the Edge: Innovations with Cloud and Edge ComputingChapter 8: COVID‑19 Pandemic Prediction Model in India: Data Analysis and ForecastingChapter 9: Leveraging Machine Learning for Proactive Credit Card Fraud DetectionChapter 10: Systematic Study of Machine Learning Algorithms for Botnet DetectionChapter 11: Integrating DEA with Edge Computing for Evaluating Healthcare System EfficiencyChapter 12: Big Data Sentiment Analysis of Twitter Data Using Hadoop & PythonPart 3: The Future and Its Applications with Case StudiesTheme 6: Emerging Trends in Cloud‑to‑Edge Computing for AIChapter 13: Deep Transfer Learning in Edge Computing: Enhancing Intelligence at the Network EdgeChapter 14: A Unified Framework for Trustworthy and Explainable Edge AI (TE2AI): Enhancing Transparency, Security, and Reliability in Decentralized IntelligenceTheme 9: Security and Privacy Considerations in Edge AIChapter 15: Security and Privacy Considerations in Edge AITheme 10: The Road Ahead – The Impact of Edge AI on the Future of ComputingChapter 16: Safeguarding the Edge: Critical Security and Privacy Considerations in Edge AI Deployments