Call for Paper

This symposium has 5 tracks, and topics of interest for each track include (but are not limited to):

Track 1: Machine and Deep Learning

  • Big data visualization
  • Cellular computing
  • Cloud computing
  • Cognitive intelligence
  • Complex Systems
  • Deep learning
  • Expert systems
  • Feature elicitation
  • Game AI
  • Image classification
  • Intelligent systems
  • Learning theory
  • Multitasking and transfer learning
  • Natural language processing
  • Neural networks and applications
  • Real-time decisions
  • Recommender systems
  • Reinforcement learning
  • Structure discovery
  • Supervised and unsuprvised learning
  • System interpretability

Track 2: Computational Intelligence

  • Combinatorial and numerical optimization
  • Differential evolution
  • Evolutionary computing
  • Fuzzy quadratic programming
  • Fuzzy systems
  • Gene expression
  • Genetic algorithm
  • Genetic programming
  • Multi criteria decision making
  • Natural heuristic methods
  • Nature inspired computing
  • Nature-inspired metaheuristic algorithms
  • Rough sets
  • Soft computing
  • Swarm intelligence

Track 3: Robotics and Automation

  • Agricultural Robotics
  • Applications of Autonomous Intelligent Robots
  • Autonomous Robotic Systems
  • Computer Vision and Image Processing
  • Control Architectures and Programming
  • Cooperative Perception
  • Cooperative Planning and Task Allocation
  • Dexterous Manipulation and Grasping
  • Educational Robotics
  • Entertainment Robots
  • Evolutionary Robotics
  • Humanoid Robotics
  • Human-Robot Interaction
  • Intelligent Control systems
  • Localization, Mapping, and Navigation
  • Locomotion and Actuation Systems
  • Multi-Robot Coordination
  • Multi-Robot Systems
  • Planning, Reasoning and Modelling
  • Recognition and Tracking
  • Robot Learning
  • Robotic Competitions

Track 4: Mining and Data Analysis

  • Classification and Clustering
  • Consistent Data Model
  • Data Access
  • Data and Knowledge Representation
  • Data Mining Applications
  • Data Streams Mining, Graph Mining
  • Databases
  • Integrating Constraints and Knowledge in the KDD Process
  • Interactive Data Exploration/Visualization and Discovery
  • Knowledge Discovery Framework and Process
  • Knowledge Processing
  • Languages and Interfaces for Data Mining
  • Mining Trends
  • Multimedia Data Mining
  • Parallel and Distributed Data mining Algorithms
  • Pre-processing Techniques
  • Security and Information Hiding in Data Mining
  • Social Networks
  • Spatial Data mining, Text Video
  • Statistical Techniques for Generating a Robust
  • Visualization
  • Web Mining

Track 5: Image Processing and Computer Vision

  • Activity Detection/ Recognition
  • Biometrics, Forensics, Content Protection
  • Computational Imaging
  • Compressed Image/ Video Analytics
  • Document Image Analysis
  • Document and Synthetic Visual Processing
  • Human Computer Interaction
  • Image/ Video Scene Understanding
  • Image/ Video Retrieval
  • Image Enhancement /Super Resolution / Restoration
  • Image/ Video Processing for Autonomous Vehicles
  • Image/ Video Security
  • Medical Image Analysis
  • Motion and Tracking
  • Remote Sensing, Hyperspectral Image Processing
  • Segmentation and Shape Representation
  • Visual Sensor Hardware
  • Vision based Human GAIT Analysis