Following are the topics of interest but not limited to:

Track I: MACHINE LEARNING

1. Algorithms and Models
2. Feature Engineering
3. Supervised Learning - Classification, Regression
4. Unsupervised Learning
5. Semi-supervised Learning
6. Association rule Mining
7. Recommendation System

Track II: AI & DEEP LEARNING

1. Heuristic Search, nature inspired search
2. Fuzzy and Rough Set
3. Reinforcement Learning
4. ANN and Deep Neural Networks
5. RNN, CNN, RBM, Transformer
6. Auto Encoder, GAN, Transfer Learning
7. Application in Computer Vision, Natural Language Processing, Time Series Data
8. Other research Issues and Interdisciplinary applications in Science, Social Science and Humanities

Track III: DATA STORAGE, MANAGEMENT AND INNOVATION

1. Data Storage
2. Data warehouse and Data Lakes
3. Retrieval
4. Advance Database Management (Graph database ,Column based databases ,NO SQL)
5. Other contemporary issues and Techniques
6. Security and Privacy

Track IV: ENABLING TECHNOLOGIES

1. Big Data
2. Cloud Computing
3. IoT
4. Robotics
5. Block Chain
6. 5G
7. Quantum Computing

Track V: DATA SCIENCE TECHNIQUES FOR HANDLING EPIDEMIC, PANDEMIC

1. Forecasting models for Tracking Number of affected, Deaths
2. Image Processing Techniques for detection of disease
3. Applying Text Analysis to understand research articles to get a better understanding of the Research Literature
4. Drug Discovery and Genomic Sequencing
5. Assessing the business and Economic Impact of an Epidemic and Pandemic
6. Social Media Analytics to understand the Sentiments , Specific issues of Concern
7. Building Conversation Agents to communicate genuine information
8. SCM Analytics