Call for Papers

Track - 1
Machine Learning and Deep Learning
  • Reinforcement learning and adaptive control
  • Transfer learning and domain adaptation
  • AutoML (Automated Machine Learning) techniques
  • Explainable AI and interpretable machine learning models
  • Anomaly detection and outlier detection
  • Time-series forecasting and predictive modeling
  • Ensemble learning methods and model aggregation
  • Ensemble learning methods and model aggregation
  • Quantum machine learning algorithms and applications
  • Machine learning for healthcare and medical diagnostics
Track - 2
Natural Language Processing and Understanding
  • Sentiment analysis and opinion mining
  • Information retrieval and question answering systems
  • Dialog systems and conversational agents
  • Aspect-based sentiment analysis and fine-grained opinion mining
  • Argumentation mining and discourse parsing
  • Language generation and text summarization
  • Cross-lingual and low-resource language processing
  • Cross-lingual and low-resource language processing
  • Aspect-based sentiment analysis and fine-grained opinion mining
  • Neural machine translation and language generation
  • Reinforcement learning and adaptive control
Track - 3
Computer Vision and Image Processing
  • Semantic segmentation and instance segmentation
  • Object detection and recognition in complex scenes
  • Visual question answering and image captioning
  • Face recognition and facial expression analysis
  • Image registration and geometric transformations
  • Image synthesis and generative models (GANs, VAEs)
  • Video understanding and action recognition
  • Multi-view geometry and 3D reconstruction
  • Image-based localization and visual SLAM
  • Image forgery detection and tamper detection
Track - 4
Robotics and Autonomous Systems
  • Reinforcement learning for robotics tasks
  • Human-robot interaction and social robotics
  • Autonomous navigation and path planning
  • Collaborative robotics and swarm intelligence
  • Robotic manipulation and grasping
  • Perception and sensing for robotic systems
  • Learning-based control for robotic systems
  • Safe and reliable autonomous systems
  • Mobile robotics and field robotics
  • Bio-inspired robotics and soft robotics
Track - 5
Knowledge Representation and Reasoning
  • Ontology engineering and semantic web technologies
  • Knowledge graph construction and completion
  • Probabilistic reasoning and uncertainty management
  • Rule-based systems and logic programming
  • Commonsense reasoning and knowledge inference
  • Argumentation frameworks and logical reasoning
  • Temporal and spatial reasoning in knowledge representation
  • Knowledge extraction from unstructured data
  • Semantic annotation and metadata management
  • Knowledge representation for explainable AI systems
Track - 6
AI Applications and Systems
  • AI-driven decision support systems
  • Smart city applications and urban analytics
  • AI in finance and algorithmic trading
  • AI for smart healthcare and telemedicine
  • AI-powered recommendation systems and personalization
  • Intelligent transportation systems and traffic management
  • AI for environmental monitoring and sustainability
  • AI in education and adaptive learning platforms
  • AI for cultural heritage preservation and restoration
  • AI-enabled agriculture and precision farming