Proceedings of the International Conference on Applications of Artificial Intelligence
Description
This book presents the proceedings of the International Conference on Applications of Artificial Intelligence in Computational Intelligence and Communication Technologies (ICAAI-2025), held on November 13-14, 2025, at Netaji Subhas University of Technology (NSUT), East Campus, Delhi, India. It brings together high-quality research papers that explore the transformative potential of artificial intelligence in computation, information processing, and communication technologies.
This book covers a wide range of topics, including foundations and advancements in AI, AI in information processing and knowledge representation, machine learning and deep learning for communication networks, AI for security, privacy, and healthcare, optimization and emerging AI applications, AI-powered smart antennas and absorbers, and challenges and future directions in AI applications. It showcases cutting-edge research, innovative methodologies, and practical applications, highlighting interdisciplinary approaches and emerging trends in AI-driven computation and communication systems.
Designed for researchers, academicians, industry professionals, and students, this book provides a valuable resource for understanding how artificial intelligence is shaping the future of computing and communication technologies. It promotes knowledge exchange, inspires novel solutions to current challenges, and emphasizes the societal and industrial impact of AI applications.
Organized and hosted by Netaji Subhas University of Technology (NSUT), East Campus, Delhi, one of India's premier technical institutions, the conference and this publication reflect a commitment to academic excellence, technological innovation, and the global advancement of AI research.
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Persons
Suresh Kumar is an Associate Professor in the Department of Computer Science and Engineering at Netaji Subhas University of Technology, East Campus. With over 22 years of experience spanning teaching, administration, and research, he has made significant contributions to the academic community. He is the author of three textbooks and has published more than 60 research papers in reputed international journals and conferences. Dr. Kumar has successfully supervised two Ph.D. scholars from Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, and is currently guiding six additional doctoral candidates. He has also delivered over 50 expert lectures at international conferences and faculty development programs in India and abroad.
Nihar Ranjan Roy is associated with the Department of Computer Science and Engineering at Ajay Kumar Garg Engineering College, Ghaziabad. He holds a Ph.D. and an M.Tech. in Information Technology from Guru Gobind Singh Indraprastha University, Delhi, and a B.E. from Biju Patnaik University of Technology, Rourkela, Odisha. Dr. Roy has authored and co-authored several research papers published in well-regarded journals and international conferences and serves as a reviewer for multiple SCI-indexed journals. His research interests include computer networks, cybersecurity and digital forensics, and machine learning. He also holds five published patents.
D. K. Lobiyal is a Professor at the School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi, with over 26 years of academic and research experience. He earned his Ph.D. in Computer Science from JNU in 1996, following his M.Tech. and B.Tech. in Computer Science and Technology. Dr. Lobiyal is a recognized authority in Wireless Sensor Networks, Natural Language Processing, and Computational Neuroscience. He has supervised over 50 M.Tech. dissertations and 44 Ph.D. theses. His scholarly output includes over 120 publications in reputed journals and international conferences, focusing on network efficiency, artificial intelligence applications, and machine learning methodologies.
Content
Efficient Adaptation of Lightweight LLMs with T-Free Tokenization and STELLA Embeddings.- AetherWall - A Next-Generation Cybersecurity Framework for Proactive DDoS Mitigation Using Adaptive Machine Learning and Real-Time Visualization.- Improving Information Retrieval through SBERT-Based Query Expansion.- A Computational Experiment for Classification of Mesocortical Dopaminergic Pathways Based on Human Addiction Patterns.- A Review Paper on Journey from Human Learning-Machine Learning-Deep Learning in Plants Disease Detection for Improving Agricultural Productivity and Enhancing Economic Growth.- Query2Book: A Hybrid RAG-based Conversational Book Recommendation Agent for Interactive Book Discovery.- Responsible AI: Ethical Issues in Text-to-Image Diffusion Models.- A Data-Driven Approach to Malware Classification and Detection Using Supervised Learning Models.- A Study on Cryptographic Performance: Traditional Versus ML-Based Techniques.- Text-based Yoga Asana Prediction using a Novel Mixed Feature Extraction Technique.