ICICIST 2027: International Conference on Intelligent Computing, Information Systems and Technology

ICICIST 2027: International Conference on Intelligent Computing, Information Systems and Technology focuses on the advancements and applications in intelligent computing, information systems, and technology, including machine learning, bioinformatics, and high-performance computing.

Key Topics

• Data security
• Web intelligence and service engineering
• Machine learning
• Mobile data management
• Robotics
• Data mining and knowledge discovery
• Cloud computing
• AI and machine learning applications in bioinformatics
• Network management and traffic engineering
• Performance analysis
• Data, text and web mining for business intelligence
• Wireless, enterprise, datacenter, and storage networks
• Semantic web
• Information retrieval
• Computer architecture
• Image processing and data visualization of bioinformatics
• Design, implementation, and analysis of network architectures and algorithms
• Real-time systems
• Business process modeling and management
• Bioinformatics
• Embedded systems
• Image processing
• Graphics and visualization
• Database management
• High performance computing
• Biomedical applications
• Pattern recognition
• Information systems development and integrating research issues
• Machine vision
• Service oriented computing
• Operating systems
• Internet technologies
• E-commerce

Who should Attend

• Researchers in bioinformatics and biomedical applications
• Data scientists and analysts
• Engineers in robotics and embedded systems
• Professionals in computer architecture and operating systems
• Bioinformatics practitioners
• Experts in machine learning and AI applications
• Developers of web and internet technologies
• Cloud computing and service-oriented computing professionals
• Academics and students in computing and information systems
• Network engineers and IT professionals
• Specialists in data mining and business intelligence
• Professionals in high performance computing
• Developers and researchers in computer vision and image processing
• Business and e-commerce engineers