Suggested tracks for the conference are as follows (but not limited to):

Track-1 Distributed and Parallel Computing

  • Distributed Algorithms
  • Parallel/Distributed Architectures
  • Novel Big Data Architectures
  • Real-Time Parallel and Distributed Systems
  • Parallel and Distributed Operating Systems and Middleware
  • Resource Management and Task Scheduling
  • Parallel and Distributed Applications and Web Services
  • Parallel I/O Systems and Storage Systems
  • Tools and Environments for Parallel & Distributed Software Development
  • Analysis and Design of Parallel and Distributed Algorithms
  • Distributed Data and Knowledge Based Systems
  • Distributed Graphics and VR/AR/MR Systems
  • Distributed AI and Soft/Natural Computing
  • Security in Parallel and Distributed Systems
Track-2 Machine Intelligence and Applications
  • AI and evolutionary algorithms
  • Architectures of intelligent systems
  • Aspects of text technology
  • Data Mining
  • Decision support systems
  • Distributed AI algorithms and techniques
  • Evolutionary Computation
  • Expert systems
  • Fuzzy logic, modeling, control and soft computing
  • Graph learning based on graph grammars
  • Hybrid Intelligent Systems
  • Integration of AI with other technologies
  • Intelligent agents
  • Intelligent databases
  • Intelligent information fusion
  • Knowledge acquisition and discovery techniques
  • Machine learning
  • Natural language processing
  • Neural networks and applications
  • Reinforcement learning
  • Supervised and unsupervised classification of web data
  • Unsupervised and Supervised Learning
 
Track-3 Image and Signal Processing
  • Biomedical Engineering
  • Data Communications and Compression
  • Digital Signal and Image Processing
  • Computer Graphics and Vision
  • Feature Extraction and Analysis
  • Image Coding and Compression
  • Image Formation and Image Enhancement
  • Image Recognition and Image Filtering
  • Image Retrieval and Image Segmentation
  • Medical Image Processing
  • Morphological Processing
  • Detection and Estimation
  • Robotics and Automation
  • Speech Processing
  • Statistical Signal Processing
  • Surface Reconstruction
  • Video Processing
  • Visualization Techniques
  • Applications of Computer Vision
  • Classification and Clustering
  • Computational Photography and Video
  • Face and Gesture Analysis
  • Image Enhancement
  • Image-Based Modeling
  • Motion and Tracking
  • Remote Sensing
  • Satellite Image Processing
  • Segmentation and Grouping
  • Statistical Methods and Learning
  • Stereo and Structure from Motion
  • Video Analysis and Event Recognition
  • Video Processing and Retrieval
  • Vision for Robotics
 
Track-4 Sensor Networks and IOT
  • Applications of sensor networks
  • Data processing, storage and management
  • Detection, classification, estimation, tracking
  • Distributed algorithms and reasoning
  • Fault tolerance
  • Design exploration and optimization tools
  • Location and time services
  • Operating systems
  • Network health monitoring
  • Network protocols for sensor networks
  • Programming models and languages
  • Real-time scheduling
  • Security
  • Sensor tasking, control, and actuation
  • Industrial IoT applications
  • Agriculture IoT applications
  • Environment Monitoring
  • Business system for IoT
  • Experimental platforms
  • Education for IoT
  • Open topic for future IoT
 
Track-5 Data Science and Analytics
  • Databases and Data Mining Applications
  • Feature Selection and Feature Extraction
  • High Performance Data Mining Algorithms
  • Knowledge Discovery
  • Sequential Data Mining
  • Stream Data Mining
  • Social Network Mining
  • Temporal and Spatial Data Mining
  • Text, Graph, Video, Multimedia Data Mining
  • Web Mining

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