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(IIMT University, Meerut,India)
Mr. Vishal Agarwal is an Assistant Professor in the School of Commerce & Management at IIMT University, Meerut(U.P.). He has done B.Com., M.Com., M.A.(Economics) from Chaudhary Charan Singh University, Meerut(U.P.) & M.B.A.(Finance & H.R.) from Dr. A.P.J. Abdul Kalam Technical University, Lucknow (U.P.) and P.G.D.C.A. (Post Graduate Diploma in Computer Application) from Sunrise University, Alwar (Rajasthan) and qualified UGC NET in Commerce and also Pursuing PH.D. (Commerce) from Devi Ahilya Vishwavidyalaya, Indore(M.P.) He has total 6 years of teaching experience in many reputed Inter Colleges and U.G. & P.G. Colleges. His area of academic interest is Accounting and Finance, Statistical Analysis, Human Resource Management, Agriculture and Rural Development. More than 15 policy and research paper are Published in National, International Conferences and Seminars. He published 01 Text Book, 01 Edited Book and 11 International and National Research papers in various UGC Care Listed and Peer- Reviewed and ABDC Journals and participated in 13 Workshops related to FDP.
This book explores the integration of Artificial Intelligence (AI), Internet of Things (IoT), Cloud Computing, Machine Learning (ML), and Deep Learning (DL) in developing intelligent and data-driven educational ecosystems. It presents innovative approaches for smart campus management, learning analytics, student performance prediction, automated assessment, intelligent tutoring systems, virtual laboratories, and educational decision-making. The book also addresses key challenges related to security, privacy, scalability, and ethical AI adoption while highlighting emerging technologies that support personalized, adaptive, and future-ready learning environments. It serves as a valuable resource for researchers, educators, policymakers, and practitioners interested in advancing smart education systems.
Agentic Artificial Intelligence: Intelligent Autonomous Systems and Real-World Applications presents a comprehensive overview of Agentic AI, focusing on intelligent systems capable of reasoning, planning, decision-making, adaptation, and autonomous action. The book explores the foundations, architectures, methodologies, and emerging technologies that enable AI agents to operate effectively in dynamic and complex environments. The volume examines real-world applications of Agentic AI across healthcare, smart agriculture, environmental monitoring, disaster management, electric vehicles, 6G communication, e-commerce, education, smart manufacturing, cybersecurity, and financial fraud detection. It also addresses explainability, ethics, privacy, safety, accountability, and human oversight, providing researchers, students, academicians, and industry professionals with a valuable reference for understanding the opportunities and challenges of developing trustworthy and intelligent autonomous systems.