Advances in Computational Intelligence and Informatics
Description
The book is a collection of best selected research papers presented at 3rd International Conference on Advances in Computational Intelligence and Informatics (ICACII 2025) organized by Anurag University, Hyderabad, India, during 19-20 December 2025. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics which is useful for researchers, scientists, technocrats, academicians, and engineers. The areas included are high performance system, data science and analytics, computational intelligence and expert systems, cloud computing, computer network, and emerging technologies.
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Persons
Dr. C. Raghavendra Rao is retired Senior Professor, SCIS, UoH Honorary Director, R&D, VBIT Visiting Professor, IIITDM K. He obtained his Bachelor of Science from Andhra University, his Masters and doctorate degree from Osmania University, Hyderabad. He has received Fellow of IETE, APAS and elected as senior member of IRSS. His research areas include Operations Research, Stochastic Processes, Computer Graphic, Artificial Intelligence and Rough Computing. Dr. C R Rao authored and co-authored more than 180 scientific papers and contributions to international journals, conferences and wrote four books. He has supervised 15 PhD scholars and many master's Students. He has organized many workshops and conferences.
Dr. Salvatore Distefano is an Associate Professor at University of Messina, Italy, and Fellow Professor at Kazan Federal University, Russia, head of the Social and Urban Computing Group and of the Cisco Innovation Center in Kazan. In 2001 he got the master's degree in computer engineering from University of Catania, and then, in 2006, he received the PhD degree on Computer Science and Engineering from University of Messina. Dr. Salvatore authored and co-authored more than 200 scientific papers and contributions to international journals, conferences and books.
Prof. Sandeep Singh Rawat is an experienced researcher and consultant with proven leadership abilities in areas of Knowledge Extraction, Information System & Machine Learning, Database, Information Retrieval, Data Warehousing, Big Data and Groups Decision Support Systems. Presently, Dr. Sandeep Singh Rawat is a Professor and Director at School of Computer & Information Sciences, IGNOU, New Delhi. Dr. Sandeep obtained his Bachelor of Engineering in Computer Science from National Institute of Technology, Surat (formerly REC, Surat), his master's from Indian Institute of Technology, Roorkee and doctorate degree from University College of Engineering, Osmania University, Hyderabad. Dr. Sandeep was a Research Scholar and Visiting Professor at Iowa State University, USA (2016 to 2018).
Dr. G. Vishnu Murthy Gupta holds both graduate and postgraduate degrees in Computer Science and Engineering, having completed his Ph.D. at JNTU, Hyderabad. With over 20 years of extensive experience in teaching, research, and administration, he has made significant contributions to the academic community. He has published approximately 80 research papers in renowned international journals and at conferences, and he is currently mentoring scholars in the fields of Computer Vision, Big Data, and Cyber Security.
Content
A Scalable Deep Learning System for Non-Invasive Crop Disease Monitoring Via Mobile Platforms.- Metaheuristics and Deep Learning for Adaptive Cloud Optimization - A Comprehensive Review on Emerging Trends and Challenges.- Hybrid Self-Supervised Attention and Radiomic Feature Fusion for Automated Stroke Subtype Classification in Non-Contrast CT.- Plant Leaf Health Detection Using Machine Learning.- Fair N Care Supporting Pet Health Protection Through a Web Based Products and Guidance System.- Cross-Domain Fake Review and Shilling Detection: A Transferable Learning Framework for Trustworthy Recommendations.- Explainable Opinion-Enriched Semantic Similarity for Social Media Text Analytics.- A Neuro-Symbolic Opinion Mining Framework for Interpretable and Trustworthy Recommendation Systems.