CALL FOR PAPERS

Call

We welcome original contributions that advance both theoretical foundations and practical applications in computer science, information technology, intelligent systems, and artificial intelligence. Submissions are encouraged across a diverse range of topics, including but not limited to the following tracks:


1. Artificial Intelligence and Big Data

This track emphasizes advanced AI methodologies including machine learning, deep learning algorithms, generative AI and data-driven insights across industries. In addition, it explores frameworks, algorithms, and systems designed to address challenges in big data analytics and intelligent systems. Topics of interest include, but are not limited to: 

  • Advanced algorithms and techniques
  • Deep learning
  • Neural networks
  • Natural language processing
  • Computer vision
  • Reinforcement learning 
  • Data analytics and visualization
  • Big data processing frameworks
  • Data mining and knowledge discovery
  • Predictive analytics
  • Data-driven decision making
  • AI and applications

2. Computer security and Networking

This track emphasizes the advancement of IoT, cloud computing, 5G/6G, edge networks, and advanced computer systems, alongside robust strategies to secure these evolving technologies. It underscores the transformative potential of these domains in creating scalable, low-latency, and intelligent infrastructures through cutting-edge cryptographic protocols, zero-trust models, and innovative security frameworks. Submissions are invited to share groundbreaking developments that promote the creation of efficient, scalable, and secure computer and network systems, ensuring that technological progress is aligned with enhanced reliability and resilience in our increasingly interconnected future. Topics of interest include, but are not limited to: 

  • IoT architectures and protocols
  • IoT applications and services
  • Edge computing for IoT
  • IoT security and privacy
  • IoT data management and analytics
  • Threat detection and prevention
  • Secure communication protocols
  • Cryptography and encryption
  • Security in cloud computing and IoT
  • Cyber-physical system security
  • Cloud architectures and models
  • Cloud services (IaaS, PaaS, SaaS)
  • Cloud security and privacy
  • Serverless computing
  • Cloud-native development
  • Cyber security and applications

3. Distributed Systems and Blockchain

This track explores advancements in distributed computing and blockchain technologies. It emphasizes reliability, scalability, and innovative applications in healthcare, supply chain, and other domains. Innovative use cases and theoretical advances are highly encouraged. Topics of interest include, but are not limited to: 

  • Byzantine Fault Tolerance  
  • Reliability, self-organization, self-stabilization
  • Distributed resource management
  • Formal methods for distributed computing
  • Distributed operating systems, middleware, database systems
  • Distributed ledger technologies
  • Smart contracts
  • Cryptocurrency and digital payments
  • Blockchain for supply chain management
  • Decentralized applications (DApps)
  • Data-driven decision making

4. Human-Centric and Emerging Technologies

This track emphasizes sustainable IT solutions, user experience design, and emerging technologies that have a social impact. It also investigates ethical concerns that are crucial for advancing responsible technologies. Topics of interest include, but are not limited to: 

  • User experience design
  • Interaction techniques
  • Accessibility in technology
  • Interface design principles
  • Usability testing and evaluation
  • Augmented reality (AR) and virtual reality (VR)
  • Bioinformatics and computational biology
  • Nanotechnology applications
  • Sustainable and green computing
  • Healthcare informatics
  • Smart cities and urban informatics
  • Education technology (EdTech)
  • Financial technology (FinTech)
  • E-commerce and online marketplaces