Conference Tracks
Explore the research tracks for INDIA-AI 2026
AI in NLP
The AI in Natural Language Processing (NLP) track focuses on advances in computational techniques for analyzing, understanding, and generating human language. This track welcomes papers on a wide range of NLP topics and applications.
Topics of Interest
- Language Models and Transformers
- Text Classification and Sentiment Analysis
- Named Entity Recognition and Information Extraction
- Machine Translation
- Question Answering Systems
- Text Summarization
- Dialogue Systems and Chatbots
- Speech Recognition and Processing
- Multilingual NLP
- Low-resource Language Processing
- Ethics and Bias in NLP Systems
AI in Healthcare and Smart Systems
This track explores the application of AI in healthcare, medical diagnostics, and smart systems. It aims to highlight innovations that enhance patient care, improve diagnostic accuracy, and advance smart healthcare infrastructures.
Topics of Interest
- Medical Image Analysis and Processing
- Clinical Decision Support Systems
- Predictive Analytics in Healthcare
- Electronic Health Records Analysis
- Wearable Health Technologies
- Smart Hospitals and Healthcare Infrastructure
- Remote Patient Monitoring
- Drug Discovery and Development
- Personalized Medicine
- Healthcare Robotics
- IoT in Healthcare
- Smart Home and Ambient Assisted Living
AI in Industrial Applications and Optimization
This track focuses on the integration of AI technologies in industrial processes, manufacturing systems, and optimization techniques. It aims to highlight innovations that improve industrial efficiency, productivity, and sustainability.
Topics of Interest
- Intelligent Manufacturing Systems
- Industrial Internet of Things (IIoT)
- Predictive Maintenance
- Supply Chain Optimization
- Quality Control and Assurance
- Energy Management and Optimization
- Process Optimization
- Robotics in Manufacturing
- Digital Twins and Simulation
- Smart Factories
- Industrial Cybersecurity
- Evolutionary Algorithms and Optimization Techniques
AI in Computer Vision
The AI in Computer Vision track focuses on advances in techniques for analyzing, understanding, and generating visual data. This track welcomes papers on a wide range of computer vision topics and applications.
Topics of Interest
- Object Detection and Recognition
- Image and Video Segmentation
- Visual Tracking and Motion Analysis
- 3D Computer Vision
- Scene Understanding
- Image and Video Generation
- Visual Question Answering
- Action and Activity Recognition
- Facial Recognition and Analysis
- Autonomous Vehicles and Vision
- Surveillance and Security
- Augmented and Virtual Reality
- Medical Image Analysis
Submission Guidelines
All submissions must adhere to the conference formatting guidelines and be submitted through the conference submission system. For more details on the submission process and requirements, please visit the Call for Papers page.