Artificial Intelligence & Machine Learning

• Foundations of Artificial Intelligence
• Deep Learning Architectures and Optimization
• Machine Learning for NLP and IR
• Reinforcement Learning and Sequential Decision Making
• Explainable, Responsible, and Trustworthy AI
• Federated, Distributed, and Privacy Preserving Learning
• Large Language Models (LLMs) and Foundation Models
• Retrieval Augmented Generation (RAG) and Memory Augmented Models

Natural Language Processing

• Syntax, Semantics, Pragmatics, and Discourse
• Text Classification, Summarization, and Generation
• Sentiment, Emotion, and Opinion Analysis
• Dialogue Systems, Conversational AI, and Chatbots
• Low Resource, Zero Shot, and Few Shot NLP
• NLP for Social Media and Short Form Content
• Evaluation Metrics, Benchmarking, and Reproducibility in NLP

Machine Translation & Multilingual Technologies

• Neural, Statistical, and Hybrid Machine Translation
• Cross lingual and Multilingual Representation Learning
• Code Switching and Multilingual Speech/Text Processing
• Language Preservation and NLP for Endangered Languages

Information Retrieval & Search Technologies

• Web Search, Ranking Models, and Relevance Estimation
• Neural IR and Deep Retrieval Models
• Query Understanding, Intent Modeling, and Personalization
• Recommender Systems and User Modeling
• Evaluation Frameworks and Reproducibility in IR

Big Data, Data Mining & Knowledge Technologies

• Big Data Analytics and Scalable AI Systems
• Knowledge Graphs, Ontologies, and Semantic Web
• Pattern Mining, Clustering, and Predictive Analytics
• Data Quality, Bias, Fairness, and Ethical Data Practices

Multimodal AI & Integrated Systems

• Vision Language Models (VLMs)
• Speech Text Vision Integration
• Image/Video Captioning and Multimodal Reasoning
• Embodied AI and Robotics Language Interfaces

Social Media, Networks & Computational Social Science

• Social Network Analysis and Graph based Learning
• Misinformation, Toxicity, and Online Safety
• Behavioral Modeling and Social Dynamics
• Computational Social Science and Digital Humanities

Speech & Spoken Language Processing

• Automatic Speech Recognition (ASR)
• Speech Synthesis and Voice Generation
• Spoken Dialogue Systems
• Prosody, Speaker Identification, and Emotion in Speech

Mobile, Edge & Ubiquitous AI

• AI for Mobile and Wireless Applications
• Edge Computing and On Device Intelligence
• IoT Driven Intelligent Systems
• Resource Efficient and Low Power AI Models

Cognitive Modeling& Human AI Interaction

• Human Centered NLP and IR
• Cognitive and Psycholinguistic Modeling
• Explainability, Interpretability, and User Trust
• Interactive and Adaptive AI Systems

AI Ethics, Safety & Societal Impact

• Fairness, Accountability, and Transparency
• Bias Detection and Mitigation
• AI Governance, Regulation, and Policy
• Societal, Cultural, and Economic Implications of AI

Applied AI & Interdisciplinary Applications

• AI for Healthcare, Education, Finance, and Law
• Biomedical NLP and Clinical Text Mining
• AI for Climate, Sustainability, and Environmental Modeling
• Industrial Applications and Production Scale AI Systems

Emerging Trends & Future Directions

• Hybrid NeuralSymbolic Systems
• Continual, Lifelong, and Meta Learning
• Autonomous Agents and Multi Agent Systems
• Novel Benchmarks, Datasets, and Evaluation Paradigms

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.