Track 1 — Artificial Intelligence and Machine Learning
This track focuses on theoretical and applied advances in artificial intelligence, machine learning, and intelligent decision-making systems. Contributions addressing both foundational methodologies and real-world AI deployments are encouraged.
Topics include, but are not limited to:Supervised, unsupervised, and reinforcement learning
Explainable and trustworthy AI
Deep learning architectures and optimization
Federated and distributed learning
Hybrid AI systems
Transfer learning and domain adaptation
AI for decision support systems
Intelligent recommendation systems
Evolutionary and swarm-based optimization
AI-driven predictive analytics
Track 2 — Cognitive Computing and Computational Intelligence
This track covers biologically inspired intelligence models, cognitive architectures, and computational paradigms that simulate human reasoning, perception, and learning.
Topics include, but are not limited to:Cognitive modeling
Neuro-symbolic AI
Fuzzy systems and ANFIS
Evolutionary computation
Brain-inspired computing
Human cognition simulation
Knowledge representation and reasoning
Intelligent agents and autonomous reasoning
Adaptive learning systems
Soft computing techniques
Track 3 — Natural Language Processing and Speech Technologies
This track aims to bring together researchers working on language understanding, speech processing, multilingual AI systems, and conversational technologies.
Topics include, but are not limited to:Large Language Models (LLMs)
Speech recognition and synthesis
Sentiment and emotion analysis
Conversational AI and chatbots
Machine translation
Text mining and information extraction
Question answering systems
Speech emotion recognition
Low-resource language processing
Multimodal language understanding
Track 4 — Computer Vision and Image Processing
This track focuses on intelligent visual analysis systems and image/video understanding technologies for academic and industrial applications.
Topics include, but are not limited to:Image classification and segmentation
Object detection and tracking
Face recognition and biometrics
Medical image analysis
Remote sensing and satellite imaging
Vision transformers and deep vision models
Augmented and virtual reality
Intelligent surveillance systems
Image enhancement and restoration
Multimodal vision systems
Track 5 — Robotics, Autonomous Systems and Intelligent Control
This track addresses theoretical and practical developments in robotics, autonomous decision-making, and intelligent control mechanisms.
Topics include, but are not limited to:Autonomous robots and UAVs
Human-robot interaction
Intelligent navigation systems
Swarm robotics
Embedded AI systems
Reinforcement learning for robotics
Sensor fusion
Industrial automation
Adaptive and nonlinear control
Cyber-physical systems
Track 6 — Data Science, Big Data and Intelligent Analytics
This track welcomes studies focusing on data-driven methodologies, scalable analytics systems, and intelligent data interpretation techniques.
Topics include, but are not limited to:Big data architectures
Predictive analytics
Data mining and knowledge discovery
Statistical learning methods
Time-series forecasting
Data visualization
Decision intelligence
Business analytics
Stream data processing
AI-driven financial analytics
Track 7 — Internet of Things, Embedded Systems and Smart Technologies
This track explores smart interconnected systems integrating embedded intelligence, sensors, and real-time communication technologies.
Topics include, but are not limited to:IoT architectures and protocols
Smart cities and smart environments
Embedded AI and TinyML
Edge and fog computing
Wireless sensor networks
Real-time monitoring systems
Intelligent industrial systems
Smart healthcare technologies
Energy-aware embedded systems
AI-enabled IoT security
Track 8 — Cybersecurity, Privacy and Trustworthy Systems
This track focuses on secure intelligent systems, AI-assisted cybersecurity solutions, and privacy-preserving computational methods.
Topics include, but are not limited to:AI for cybersecurity
Intrusion and anomaly detection
Blockchain and decentralized systems
Adversarial machine learning
Secure federated learning
Privacy-preserving AI
Malware and phishing detection
Biometric security systems
Digital forensics
Trustworthy autonomous systems
Track 9 — AI Applications in Engineering, Healthcare and Education
This interdisciplinary track highlights innovative applications of AI and cognitive systems in real-world domains.
Topics include, but are not limited to:AI in healthcare and medical diagnosis
Intelligent education systems
Learning analytics and EDM
Smart manufacturing
AI for sustainability
Intelligent transportation systems
Smart agriculture
Biomedical signal processing
AI-assisted engineering systems
Decision support in industrial environments
Track 10 — Human-Centered AI, Ethics and Future Technologies
This track investigates the societal, ethical, and human-oriented dimensions of intelligent systems and emerging technologies.
Topics include, but are not limited to:Ethical AI and responsible innovation
Human-centered computing
Explainability and transparency
AI governance and regulation
Social implications of AI
Bias and fairness in algorithms
AI and sustainability
Digital transformation
Future AI paradigms
Human-AI collaboration