Call for Papers ( CFP) IEMAICLOUD 21

IEMAICLOUD 21 is a four day International Conference specially designed with cluster of scientific and technological sessions, providing a common platform for researchers, academicians, industry delegates, scientists, professionals, industry and government policy-makers, engineers and students across the globe to share and exchange their knowledge and contribution. This conference attends to emerging areas of research and development related to the new challenges presented by the COVID 19 pandemic, focusing specifically upon aspects and applications of Cloud Computing, Artificial Intelligence, Big Data, and the Internet of Things.

The conference is equipped with well organized scientific sessions, keynote and plenary lectures, research paper, poster presentations and world-class exhibitions.

This conference also has some special sessions related to innovative applications with Artificial Intelligence, Internet of Things and Cloud Computing and a demo-session for innovations achieved through prototyping and simulation.

[ Details can also be found in the Call for Papers PDF file: HERE ]

We invite you to submit research papers related to following conference tracks :

 

Track 1 : Artificial Intelligence
  • AI and Creativity
  • Digital Health
  • Data warehousing
  • Data mining
  • Internet of things
  • Deep Learning
  • Intelligent User Interfaces
  • Hybrid Intelligent Systems
  • Intelligence and Cyber security
  • Ambient Intelligence
  • Natural language processing
  • Neural Networks
  • Social Network Analysis
  • Uncertainty analysis
  • Vision and Perception
  • Cognitive Systems
  • Web Intelligence
  • Autonomous Systems
  • Data Analytics
  • Artificial life
  • Bioinformatics and computational biology
  • Brain-machine interfaces
  • Neural Network Theory and Architectures
  • Particle swarm optimization
  • Robotics and related fields
  • Rough sets and rough data analysis
  • Speech understanding
Track 2 : Cloud Computing
  • Cloud Security
  • Cloud Computing for IoT Applications
  • Programming models for clouds
  • Cloud computing for the mobile world
  • Enterprise Applications on the Cloud
  • computation, scheduling, monitoring, auditing in cloud computing
  • Optimization and performance issues on clouds
  • Big data management and analytics
  • Cloud Storage and Big data analytics
  • Cloud computing programming and application development
  • Geographical constraints for deploying clouds
  • Superfluid Clouds
  • Vehicle cloud network
  • Cloud computing and 5G;
  • Cloud computing and LTE Pro
  • Power-efficiency and Cloud computing
  • Cloud services models and frameworks
  • Cloud services reference models and standardization
  • Cloud-powered services design
Track 3 : High Performance Computing
  • Modeling, Simulation and Evaluation Techniques of HPC Systems
  • Partitioning, Mapping and Scheduling algorithms
  • Network Flow and Congestion
  • Resource Allocation, Sharing and Management
  • Modeling and Simulation using HPC Systems
  • Load Balancing and Sharing for HPC
  • Mutual Exclusion, Deadlock Detection
  • Routing, Synchronization, Consistency
  • Reliable Parallel, and Distributed Algorithms
  • Network and Systems Protocols