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