Track - 1:Technologies of Blockchain

• Innovative theories, methodologies, schemes technologies of blockchain
• Architectures and platforms for blockchain
• Blockchain for Big Data
• Blockchain Multi-Agent systems
• Blockchain for Internet of Things
• Blockchain in 5G
• Sensors and devices for blockchain
• Encryption algorithms
• Fault tolerance mechanisms
• Distributed ledger technologies
• Cloud, fog, and edge computing for blockchain
• Platforms for smart contracts
• Anonymity and privacy in blockchain
• Malicious transactions detection

Track - 2: Blockchain Applications

• Blockchain for agriculture
• Blockchain for business models
• Blockchain e-commerce
• Blockchain in eHealth
• Blockchain for fintech
• Blockchain for knowledge and innovation management
• Blockchain logistics and transportation
• Blockchain for product life cycle
• Blockchain for supply chain management
• Blockchain for any other applications


Track - 3: Machine Learning

• Dimensionality Reduction
• Pattern Classification
• Feature Selection
• Regression
• Transfer Learning
• Artificial Neural Network (ANN)
• Support Vectors and Kernel Design
• Neural Networks and Learning Systems
• Machine Learning Architectures and Formulations
• Ensemble Models
• Deep Learning
• Optimization and Learning Methods
• Clustering and Association
• Artificial Intelligence and Recommender systems
• Reinforcement Learning
• Regularization
• Multi View, Multi modal and Multi-task Learning

Track - 4: Signal Processing

• Signal Feature Descriptors
• Compressed Sensing
• Signal Processing Systems and Algorithm
• Radar Signal Processing
• Distributed Signal Processing
• Nonlinear Signal Processing
• Wideband Signal Processing
• Adaptive Signal Processing
• Speech Signal Processing and Recognition
• Signal Processing for Smart System
• Biomedical Signal Processing and Bioinformatics
• Multi modal signal processing
• Sparse Signal Processing
• Signal Processing for IoT
• Coding and Compression
• Signal Processing for Smart Systems
• Spread Spectrum Systems


Track - 5: Data Science & Computational Intelligence

• Data Management Systems
• Data Analytics and Data Science
• Intelligent Information Retrieval
• Data Visualization
• Big Data Analytics and Social Networking
• Big Data Applications
• Artificial or Computational Intelligence
• Statistical Methods for Data Science
• Evolutionary Algorithms
• Meta Heuristics Algorithms
• Nature Inspired Algorithms
• Fuzzy Logic and its Application
• Adaptive Neuro Fuzzy Systems
• Rough Sets, Granular Computing
• Pattern Discovery, Possibility Theory, Bayesian Networks, Hidden Markov Models
• Natural Language Processing


Track - 6: Network and IoT Intelligence

• Wireless Sensor Network for IoT Security
• Wireless Ad Hoc Networks
• IoT-based Automated Systems
• Smart Agriculture, Retails and Water Management
• AI/ML for IOT
• Intelligent green communications
• e-Health, Assisted Living, and e-Wellness
• Smart Grid, Energy Management
• Collaborative Applications and Systems
• IoT Data Management
• Semantic Technologies, Collective Intelligence
• Cognitive and Reasoning about Things and Smart Objects
• Mobile Cloud Computing (MCC) and IoT
• IoT Privacy and Security Concerns