Topics

Topics of interest include, but are not limited to, a wide range of themes that reflect the evolving landscape of innovation, research, and application in the field. The conference welcomes contributions that explore both theoretical advancements and practical implementations, across disciplines and industries. Interdisciplinary approaches, emerging challenges, and novel use cases are particularly encouraged, as the event aims to foster dialogue, knowledge exchange, and collaboration among academics, professionals, and stakeholders from diverse backgrounds.

Distributed Computing :

  • Byzantine Fault Tolerance  
  • Reliability, self-organization, self-stabilization
  • Distributed resource management
  • Formal methods for distributed computing
  • Distributed operating systems, middleware, database systems

 Blockchain and Cryptocurrency:

  • Distributed ledger technologies
  • Smart contracts
  • Cryptocurrency and digital payments
  • Blockchain for supply chain management
  • Decentralized applications (DApps)

Artificial Intelligence (AI) and Machine Learning (ML):

  • Advanced algorithms and techniques
  • Deep learning
  • Neural networks
  • Natural language processing
  • Computer vision
  • Reinforcement learning
  • LLM

Data Science and Big Data:

  • Data analytics and visualization
  • Big data processing frameworks
  • Data mining and knowledge discovery
  • Predictive analytics
  • Data-driven decision making

Internet of Things (IoT):

  • IoT architectures and protocols
  • IoT applications and services
  • Edge computing for IoT
  • IoT security and privacy
  • IoT data management and analytics

Wireless Communication

  • 5G / 6G
  • Antennas and Propogation
  • Mobile Communication
  • RF and Microwave Circuits

Cybersecurity:

  • Threat detection and prevention
  • Secure communication protocols
  • Cryptography and encryption
  • Security in cloud computing and IoT
  • Cyber-physical system security

Cloud Computing:

  • Cloud architectures and models
  • Cloud services (IaaS, PaaS, SaaS)
  • Cloud security and privacy
  • Serverless computing
  • Cloud-native development

Human-Computer Interaction (HCI):

  • User experience design
  • Interaction techniques
  • Accessibility in technology
  • Interface design principles
  • Usability testing and evaluation

Emerging Technologies:

  • Quantum computing
  • Augmented reality (AR) and virtual reality (VR)
  • Bioinformatics and computational biology
  • Nanotechnology applications
  • Sustainable and green computing

Innovative Applications of IT:

  • Healthcare informatics
  • Smart cities and urban informatics
  • Education technology (EdTech)
  • Financial technology (FinTech)
  • E-commerce and online marketplaces
  • Electric Vehicles

Ethical and Social Implications:

  • Ethical considerations in AI and data science
  • Privacy concerns and data protection
  • Bias and fairness in algorithmic decision-making
  • Socio-economic impacts of technology
  • Digital divide and accessibility issues

Optimization

Robotics