Intelligent Systems Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023)

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 the area of 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, Wi-Fi sensing, 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 also Associate Editor and Editorial Board Member of IOS Press KES Journal 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.

Prof. Srinivas Sethi is Professor and has been actively involved in teaching and research in Computer Science since 1997. He did his Ph.D., in the area of routing algorithms in mobile ad hoc network and is also continuing his work in the wireless sensor network, cognitive radio network, and cloud computing. He is Member of Editorial Board for different journal and Program Committee Member for different international conferences/workshop. Now he is working as Faculty in the Department of Computer Science Engineering and Application at Indira Gandhi Institute of Technology Sarang, India, and has published more than 50 research papers in international journals and conference proceedings. He completed 3 research projects funded by different funding agencies such as DST, AICTE, and DRDO. Now he is continuing with other 3 projects funded by agency such as AICTE and NPIU.

Prof. Xiao-Zhi Gao is Full Professor at School of Computing, University of Eastern Finland, Finland. He heads the nature-inspired machine learning research group at UEF. His main research interests are bio-inspired computing, nature-inspired computing, machine learning, soft computing, data mining, and communication networks. He has published more than 400 papers in different international journals and conferences of repute. He has been associated with many international conference as Technical Program Co-chair, Member, and Editorial Board Member also. His recent publications dealing with modeling of infectious diseases and cure rate are very well acclaimed.