Track

Topics of interest include, but are not limited to the following:-

Track 1 :- Big Data and Cloud Computing
  • Models and algorithms of Big Data
  • Architecture of Big Data
  • Big Data Management
  • Big Data Analysis and Processing
  • Big Data in Smart Cities
  • Security and Privacy of Big Data
  • Technologies of Cloud Computing
Track 2 :- Technologies & Application of AI
  • Basic Theory and Application of Artificial Intelligence
  • Knowledge Science and Knowledge Engineering
  • Machine Learning and Data Mining
  • Machine Perception and Virtual Reality
  • Natural Language Processing and Understanding
  • Neural Network and Deep Learning
Track 3 :- Robotics Science and Engineering
  • Design of Robotic Mechanisms
  • Human-Robot Interaction & Interfaces
  • Machine Learning and AI for Robotics
  • Robotics in healthcare / medical industry /agriculture/ defense
  • Tele-robotics
Track 4 :- AI and Decision Systems
  • Decision Guidance and Support Systems
  • Optimization-based Recommender Systems
  • Group, Distributed, and Collaborative Decisions
  • Strategic, Tactical and Operational-level Decisions
Track 5 :- Machine Learning and Data Mining
  • Pre-processing, Dimension Reduction and Feature Selection computing, Bayesian and Neural Networks
  • Learning Graphical Models and Complex Networks
  • Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Mulit-Task Learning
Track 6 :- Uncertainty in AI
  • Uncertainty and Fuzziness Representation and Reasoning
  • Approximate/Exact Probabilistic Inference
  • Knowledge Discovery and Data Mining for Uncertain
Track 7 :- Representation, Reasoning and Cognitive Modelling
  • Knowledge Representation, Reasoning
  • Knowledge Extraction, Management and Sharing
  • Case-based Reasoning and Knowledge-based Systems
  • Cognitive Modelling and Semantic Web
Track 8 :- Multidisciplinary Application of AI & Data Analytics
  • Smart healthcare
  • Renewable energy
  • IoT
  • Cyber security
  • Education
  • Smart agriculture
  • Digital business
  • Open API for data analytics;
  • In-database analytics;
  • Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.);
  • Analytics visualization;
  • Multi-modal support for data analytics;
  • Google/FaceBook/Twitter/etc. analytics;
  • High-performance data analytics