Track 1: Core Artificial Intelligence & Machine Learning

This track focuses on foundational and advanced methods in AI and ML, including algorithms, models, and reasoning systems.



• Artificial Intelligence
• AI Algorithms
• Machine Learning & Deep Learning
• Natural Language Processing
• Computer Vision
• Knowledge Representation & Reasoning
• Pattern Recognition
• Reactive Distributed AI
• Symbolic Machine Learning
• Neuro‑Symbolic AI
• Explainable AI (XAI)
• Trustworthy, Ethical & Responsible AI
• AI Safety & Alignment

Track 2 : Soft Computing, Bio Inspired & Evolutionary Intelligence

This track highlights computational approaches inspired by natural systems and human reasoning.



• Soft Computing Theory & Applications
• Fuzzy Logic & Fuzzy Systems
• Rough Sets
• Evolutionary Computing
• Swarm Intelligence
• Morphic Computing
• Neuro Fuzzy Systems
• Bio Inspired Optimization
• Evolutionary Deep Learning

Track 3: Data Science, Analytics & Intelligent Information Processing

This track covers data‑driven intelligence, analytics, and computational methods for extracting insights from complex data.



• Data Mining & Machine Learning Tools
• Data Visualization
• Information Retrieval
• Image Processing
• AI based Signal Processing
• Time Series Forecasting
• Big Data Analytics
• Predictive Analytics

Track 4: Intelligent Systems, Agents & Robotics

This track explores intelligent autonomous systems, agent‑based models, and robotics.



• Robotics & Autonomous Systems
• Human Robot Interaction
• Software Agents & Multi‑Agent Systems
• Intelligent System Architectures
• Hybrid Intelligent Systems
• Vision Recognition
• Heuristic & AI Planning Strategies
• Autonomous Vehicles & Intelligent Transportation

Track 5: Distributed, Edge & High‑Performance AI

This track focuses on scalable AI systems, distributed learning, and computational infrastructures.



• Distributed AI Systems
• Federated Learning
• Edge AI & TinyML
• High‑Performance Computing for AI
• Cloud & Parallel AI Architectures
• Scalable Machine Learning

Track 6: Cognitive Computing, Ambient Intelligence & Human‑Centered AI

This track examines AI systems that interact with, augment, or model human cognition and environments.



• Cognitive Computing
• Multimedia & Cognitive Informatics
• Affective Computing
• Human AI Collaboration
• Pervasive Computing & Ambient Intelligence
• Multimodal AI

Track 7: Emerging & Next Generation AI Technologies

This track highlights cutting‑edge and forward‑looking AI paradigms.



• Generative AI & Foundation Models
• Multimodal Foundation Models
• Continual & Lifelong Learning
• Transfer Learning
• Quantum Machine Learning
• Neuromorphic Computing
• Unconventional Computing Paradigms

Track 8: AI Applications Across Domains

This track welcomes applied research demonstrating the impact of AI and soft computing in real‑world systems.



• AI in Healthcare & Bioinformatics
• AI for Smart Cities & IoT
• AI for Cybersecurity
• AI in Telecommunications & Networks
• AI for Scientific Discovery
• Web Intelligence & Semantic Technologies

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