Edge Artificial Intelligence

Manju Khari serves as a professor in the School of Computer and Systems Sciences at Jawaharlal Nehru University in New Delhi (JNU), India. Her research contributions span 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 National Capital Territory (NCT) Delhi. Dr. Khari is a Ph.D. 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 the National Council of Educational Research and Training (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 All India Institute of Medical Sciences (AIIMS), the Department of Biotechnology (DBT), the Department of Science and Technology (DST), and the Council of Scientific and Industrial Research–National Physical Laboratory (CSIR–NPL) through the Ministry of Consumer and Legal Affairs, 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 over 20 years of significant contributions through her teaching and research. Dr. Gupta holds a Ph.D. from Birla Institute of Technology (BIT) Mesra, India, focusing on customer relationship management systems in banking and has a strong educational background, including an M.Phil. in computer science, a Master of Computer Applications (MCA), and a Post Graduate Diploma in Information Technology Management (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 a 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 the Asia-Pacific Centre of Education for International Understanding (APCEIU), UNESCO, Chandan is committed to advancing innovative instructional methods, fostering global citizenship, and promoting academic excellence.

• 1. Edge AI Transforming Computing from Cloud to Edge 2. Edge Computing Fundamentals 3. Smart Cities and Edge AI: Applications and Case Studies 4. The Rise of Smart Cities: AI-Driven Urban Evolution 5. Edge AI in Smart Cities: A Conceptual Framework for Intelligent Urban Infrastructure 6. Innovating Industry 4.0: A Deep Dive into Technological Trends, Cybersecurity Solutions, and Their Industrial Effects 7. Healthcare on the Edge: Innovations with Cloud and Edge Computing 8. COVID-19 Pandemic Prediction Model in India: Data Analysis and Forecasting 9. Leveraging Machine Learning for Proactive Credit Card Fraud Detection 10. Systematic Study of Machine Learning Algorithms for Botnet Detection 11. Edge Computing for Evaluating Healthcare System Efficiency 12. Big Data Sentiment Analysis of Twitter Data Using Hadoop and Python 13. Deep Transfer Learning in Edge Computing: Enhancing Intelligence at the Network Edge 14. A Unified Framework for Trustworthy and Explainable Edge AI (TE2AI): Enhancing Transparency, Security, and Reliability in Decentralized Intelligence 15. Security and Privacy Considerations in Edge AI 16. Safeguarding the Edge: Critical Security and Privacy Considerations in Edge AI Deployments