Call for Papers

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CALL FOR PAPERS

 

National Institute of Technology, Kurukshetra and Soft Computing Research Society (SCRS) are going to organize the International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS-2021)  in Virtual Format (due to the ongoing COVID19 pandemic) during May 07-09, 2021. The PCCDS21 aims to bring together leading academicians, scientists, researcher scholars, UG/PG graduates across the globe to exchange and share their research outcomes. It targets to provide a state of the art platform to discuss all aspects (current and future) of advanced computing, communications and data science techniques. This will enable the participating researchers to exchange their ideas about applying existing methods in these areas to solve real-world problems. The after-conference proceeding of the PCCDS21 will be published in Springer Book Series, ‘Algorithms for Intelligent Systems’. For more details, please visit the conference website: https://pccds21.scrs.in/.  

 

The topics covered (but are not limited to) in the conference are as follows:

 

Computing

• Distributed Computing, Cluster, Grid & Cloud Computing, Green Computing, Soft Computing, Quantum Computing, Mobile Computing, Future Smart Computing, Security & Privacy, Big Data Computing, Machine Learning, Speech Recognition, Cellular Computing, Membrane Computing, Crowd-sourcing, Internet of Things (IoT), Network Security, privacy and social impact

Communication

• Signal Processing, Wireless Network, Network Analytics, Cognitive Radios, Software Defined Radio, Optical Communication, Antenna, Satellite and Space Communications, Vehicular, Underground and Underwater Networks, RFID and Sensor Network, Mobile & Ubiquitous Communication Networks, Ad-hoc Network, Network Security, Cryptography, Physical Layer Security, Information-Centric Networking, Remote Sensing and GIS, Network Protocols, Modelling & Simulation of Communication Networks and Systems, Software-Defined Networking, Fault Tolerance, Reliability, and Survivability, Flow and Congestion Control, Network Architectures

Data Science

• Big Data Analytics, Big Data Models, Algorithms and Architectures, Algorithms and Programming Techniques for Big Data Processing, Big Data Analytics and Metrics, Cloud Computing Techniques for Big Data, Engineering data mining, Data Mining in Healthcare data, Data mining in security, High-performance data mining algorithms, Biometrics, face and gesture, Biomedical image analysis, Deep Learning, Mechatronics and Robotics, Applications of Computational Intelligence techniques in Science, Engineering, medicine, finance and education etc.