About
Topics
Explore the ten research tracks in artificial intelligence and cognitive models.
The conference welcomes original research across ten connected tracks, from core AI methods to responsible applications.
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
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
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
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
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
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
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
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
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
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
Working Across Tracks?
Choose the topic that best fits your paper when submitting. Papers are reviewed for relevance to the conference.