Call for Papers

Focusing on the theoretical foundations and novel applications of learning algorithms.

• Deep Learning Architectures
• Reinforcement Learning & Decision Making
• Generative AI & LLMs
• Explainable AI (XAI) & Fairness
• Transfer & Few-Shot Learning

Bridging the gap between biological cognition and artificial computational systems.

• Neuromorphic Computing
• Knowledge Graphs & Reasoning
• Natural Language Understanding
• Affective Computing
• Intelligent Fault Diagnosis

Techniques for handling volume, velocity, and variety in modern data ecosystems.

• Real-time Stream Processing
• Data Mining & Knowledge Discovery
• Predictive Analytics & Modeling
• Scalable Data Warehousing
• Graph Data Analytics

Distributed systems infrastructure supporting modern computational demands.

• Serverless Computing
• Fog & Edge Computing Integration
• Distributed Storage Systems
• Cloud Security & Compliance
• Green Cloud Computing

Integration of computation, networking, and physical processes.

• Internet of Things (IoT)
• Smart City Infrastructure
• Industrial Control Systems (ICS)
• Embedded System Design
• Digital Twins

Safeguarding digital assets and ensuring user privacy in connected environments.

• Post-Quantum Cryptography
• Blockchain & Decentralized Trust
• Network Intrusion Detection
• Privacy-Preserving Machine Learning
• Biometric Security

Designing intuitive and effective interfaces between humans and machines.

• AR / VR / Mixed Reality
• Brain-Computer Interfaces (BCI)
• User Experience (UX) Design
• Multimodal Interaction
• Accessibility & Inclusive Design

Autonomous systems and their application in industrial and service sectors.

• Autonomous Vehicles & Drones
• Swarm Robotics
• Human-Robot Collaboration
• Medical & Surgical Robotics
• Soft Robotics