IEEE 6th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA 2027)

The IEEE 6th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA 2027) presents global developments in information technology, big data and artificial intelligence through multidisciplinary exchanges and technical insights.

Key Topics

• Big Data
  • Big Data analytics and metrics
  • Cloud computing techniques for big data
  • Big Data encryption
  • Representation formats for multimedia big data
  • Algorithms and programming techniques for big data processing
  • Social network big data management issues
  • Big Data open platforms
  • Big Data as a service
  • Big Data persistence and preservation
  • Big Data search and mining
  • Big Data models and protection languages
  • Big Data in mobile and pervasive computing
  • Foundational models for big data
  • Big Data quality and provenance control
• Information Technology and Computer Science
  • Operating system
  • Information security
  • Web technology
  • Computer networks and communication
  • Software engineering
  • Information storage
  • Management information systems
  • Trusted and fault-tolerant computing
  • Distributed computer system
• Machine Learning
  • Deep learning
  • Active learning
  • Evolutionary computation
  • Reinforcement learning
  • Neural networks
  • Structured learning
  • Data mining
  • Online learning
  • Classification
  • Relational learning
  • Learning theory
  • Feature selection and construction
  • Semi-supervised and unsupervised learning
  • Learning graphical models
  • Preference or ranking learning
• Artificial Intelligence, Automation and Control
  • Artificial intelligence and machine learning
  • Intelligent robot
  • Intelligent system design
  • Automation control system
  • Intelligent decision support
• Communication and Networking
  • Network security
  • Internet of Thinking and Creation
  • Social computing and IoT networks
  • Biometric sensors and identification
  • Wearable technology and body sensor networks
  • Brain informatics sensing and processing
  • Affective computing
  • Brain-machine interface
  • Computer networks
  • Network communications
  • Mobile and smart healthcare
  • e-Learning and MOOCs
  • Deep learning and urban computing
• Electronic and Embedded Systems
  • Embedded systems
  • Antenna technology
  • RF components
  • Sensor research
  • Modern circuit theory and applications
  • Computational electromagnetics and simulation
• Computational Methods, Algorithms, Data and Signal Processing
  • Image processing
  • Signal processing for communications
  • Computer vision
  • Algorithm design and optimization
  • Audio and speech processing
  • Fuzzy optimization
  • Linear and nonlinear programming
  • Complex network systems theory

Who should Attend

• Engineers working in communication networks, automation, embedded systems or signal processing
• Researchers exploring AI, machine learning, big data or computational modelling
• Academicians involved in information technology, computer science or digital systems
• Industry professionals seeking global collaboration in advanced computing technologies
• Technical experts focusing on data analytics, cloud computing or intelligent systems