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