Computer Networks and Inventive Communication Technologies

Dr. S Smys received his M.E and Ph.D. degrees in Wireless Communication and Networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as Associate Editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier, and Guest Editor of MONET Journal, Springer. He served as a Reviewer for IET, Springer, Inderscience, and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been General chair, Session Chair, TPC Chair, and Panelist in several conferences. He is Member of IEEE and Senior Member of IACSIT wireless research group. He has been serving as Organizing Chair and Program Chair of several international conferences and in the program committees of several international conferences. Currently, he is working as Professor in the Department of Computer Science and Technology at RVS technical Campus, Coimbatore, India.Dr. Pavel Lafata obtained his M.Sc. from the Faculty of Electrical Engineering of the CTU in Prague in 2007 and his Ph.D. from the Faculty of Electrical Engineering of the CTU in Prague in 2011. Since 2011, he is Assistant Professor at the Department of Telecommunication Engineering, CTU in Prague. Od roku 2011 působí jako odborný asistent na Katedře telekomunikační techniky, Fakulty elektrotechnické, ČVUT v Praze. His specialization includes fixed access networks and technologies, VDSL2/G.fast, transmission systems modeling, topology modeling, transmission media and topologies modeling, passive optical networks (PON), PON topology optimization, FTTx, VHDL, and FPGA. Since 2011, he has been Supervisor of more than 20 bachelor and diploma thesis and student projects, since 2014 he has been Supervisor of 3 Ph.D. students. Since 2011, he has been Teacher and Lecturer of various courses, especially in the field of telecommunication networks and systems, optical systems, digital systems, fixed access networks, etc. He is Author or Co-author of numerous scientific papers published in reviewed international journals or conferences, he is also Member of several scientific committees of international conferences and editorial boards of international journals, and he also acts as Fellow Reviewer for numerous impact journals.Dr. Ram Palanisamy is Professor of Enterprise Systems at the Gerald Schwartz School of Business, St. Francis Xavier University, Canada. He obtained his Ph.D. in information systems management from Indian Institute of Technology (IIT), New Delhi, India. He had academic positions at Wayne State University, Detroit, USA; University Telekom Malaysia; and National Institute of Technology, Tiruchirappalli, India. Palanisamy’s research has appeared in several peer-reviewed articles in several journals, edited books, and conference proceedings.Dr. Khaled A. Kamel is currently Chairman and Professor at Texas Southern university, College of Science and Technology, Department of Computer Science, Houston, TX. He has published many research articles in refereed journals and IEEE conferences. He has more than 30 years of teaching and research experience. He has been General chair, Session Chair, TPC Chair, and Panelist in several conferences and acted as Reviewer and Guest Editor in referred journals. His research interest includes networks, computing, and communication systems.

• Cluster Head Selection based on Mapping-based Cuttlefish Optimization Algorithm for Multipath Routing in MANET.- Opinion Mining of Movie Reviews Using Hybrid Deep Learning Technique.- Hybrid Approach to Predict The Death Rate Of Covid-19 Patients.- A Study on Reinforcement Learning based Traffic Engineering in Software Defined Networks.- Enhancing the Performance of Heterogeneous Networks Using Optimized Cluster-based Algorithm.- An Efficient Machine Learning Classifier for Sarcasm Detection.- A Delicate Authentication Mechanism for IoT Devices with Lower Overhead Issues.- A Comprehensive Study on Crop Disease Prediction Using Learning Approaches.- Design of Various SRAM attainment for FINFET.- A Novel Channel Estimation Technique for Intelligent Reflecting Surface (IRS)-aided mmWave systems based on Sparse-Kalman Filter (S-KF).