Topics of Interest
Topics of interest include but not limited to the following:
Track - 1: Generative Models and Applications
- Style Transfer and Artistic Content Generation
- Transformers for Image and Text Generation
- Generative Models for Audio and Music Synthesis
- 3D Object Generation and Reconstruction
- Neural Text-to-Image Synthesis
- Generative Models for Drug Discovery and Molecular Design
- DeepFake Technology and Synthetic Media Creation
- Generative Models for Anomaly Detection and Surveillance
- Avatar and Virtual Character Generation
- Generative Adversarial Networks for Data Augmentation
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Transformers for Generative Tasks
- Energy-Based Models (EBMs)
- Conditional Generative Adversarial Networks (cGANs)
Track - 2: Artificial Intelligence
- Deep Learning, Machine Learning, and AI Algorithms
- Machine Learning and Data Mining
- Natural Language Processing
- Deep/ Reinforcement Learning
- Decision Support Systems
- Genetic Algorithms and Swarm Optimization
- Health Care Analytics
- Application of AI in Big Data
- Explainable Artificial Intelligence and Intelligent Systems
- Edge & Fog Computing
- AI in Robotics
- Image processing and Computer Vision
- Hybrid Optimization Methods
- Circuits and Systems for AI
- Medical Image Analysis
- Supervised and Unsupervised Techniques
- AI for Remote Sensing and related Applications
- Deep Learning for Pattern Recognition
- Multi-Objective Optimization
Track – 3: Business Analytics and Operations Research
- Analytics in Banking, Insurance, Marketing
- Predictive analytics for consumer behavior
- AI-driven personalization and recommendation systems
- Sentiment analysis and social media monitoring
- Web and Social Media Analytics
- Risk assessment and fraud detection using AI
- AI in credit scoring and loan underwriting
- Employee engagement and retention analytics
- AI for personalized learning and development plans
- Scenario planning using machine learning models
- AI-driven competitive analysis
Track – 4: Social Sciences in Digital Era
- Predictive models for economic forecasting
- Market structure analysis using AI
- Technology in policy making and governance
- Simulation of political scenarios and conflict resolution
- Analysis of educational data
- Machine learning for personalized medicine
- AI for public health data analysis and surveillance
- Social network analysis using AI
- AI in studying migration patterns and social integration
- Predictive models for social welfare and intervention
- AI for mental health diagnostics and treatment recommendations
- Cognitive modeling and AI simulations
