Intelligent Systems : Proceedings of 5th International Conference on Machine Learning, IoT and Big Data (ICMIB 2025), Volume 1

This book features best selected research papers presented at the Fifth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2025) held at Department of Computer Science and Engineering, Parala Maharaja Engineering College, Berhampur, India, during April 4–6, 2025. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing and statistical analysis of search techniques.

Prof. Siba Kumar Udgata is Professor in computer and information sciences at University of Hyderabad, India. He has a Ph.D. in computer science in mobile computing and wireless communications and also worked as United Nations Fellow and worked in the UNU/IIST, Macau. His research focus is on wireless communication, mobile computing, intelligent sensors, sensor network algorithms, Internet of Things, and applications. He was Volume Editor for several Springer LNAI, AISC International Conference proceedings, and Associate Editor and Editorial Board Member of IOS Press KES Journal and Elsevier AKCE International Journal of Graphs and Combinatorics. Prof. Udgata has published more than 150 research papers in reputed international journals and conference proceedings. He has worked as Principal Investigator in many Government of India funded research projects mainly for the development of wireless sensor network applications, network security-related applications, and application of swarm intelligence techniques in the cognitive radio network domain.
Dr. Debasis Mohapatra is presently serving as Assistant Professor in the Department of Computer Science and Engineering at Parala Maharaja Engineering College, Berhampur, under the Government of Odisha. He holds a Ph.D. in graph anonymization and has received several prestigious awards, including the BPUT Faculty Research Award (2022), the UGC NET JRF Award (2012), and the Vice-Chancellor’s Silver Medal for academic excellence in M.Tech. (2009). Dr. Mohapatra has contributed extensively to the field through the publication of 45 research papers in renowned conferences and journals. He is currently leading a research project funded by OSHEC. His research interests include privacy-preserving data publishing, machine learning, complex networks, software engineering, and e-governance.
Prof. Srinivas Sethi is Professor in Computer Science Engineering & Application, Indira Gandhi Institute of Technology, Sarang (IGIT, Sarang), India, and has been actively involved in teaching and research since 1997. He did his Ph.D., in routing algorithms in mobile ad hoc network, and is continuing his research work in the wireless computing, cloud computing, BCI, cognitive science. He is Member of editorial board for different journals and Program Committee Member for different international conferences/workshop. He is Book Editor of 8 (eight) international conference proceedings published in Springer and Taylor & Francis. He has published more than 100 (hundred) research papers in international journals and conference proceedings. He completed 8 (eight) numbers of research and consultancy project funded by different funding agencies such as DRDO, DST, AICTE, NPIU, and local Govt. office. 
Muhammad Ehsan Rana is Highly Accomplished Academic Professional with an extensive background spanning over 20 years in academic management, lecturing, and quality assurance. He holds a Ph.D. in software engineering from Universiti Putra Malaysia and possesses additional qualifications including a PGD in quality management, an M.Sc. in mathematics, and a master’s degree in computer science. Currently serving as Associate Professor at the Asia Pacific University of Technology & Innovation (APU) Malaysia, Dr. Muhammad Ehsan Rana is responsible for teaching, conducting research, and engaging with industry and professional bodies. His areas of focus include software architecture, cloud computing, IoT, and blockchain. With his keen intellect and innovative thinking, he has authored and co-authored over 100 journal papers, conference publications, and book chapters, showcasing his dedication to advancing knowledge and driving progress in these cutting-edge areas.