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Call for Papers
The annual international conference ICCBI 2026 aims to improve the intersection of Computer networks, Big data and IoT. The Conference's primary goal is to explore and share cutting-edge research knowledge in preparation for future long-term collaboration. It is strongly encouraged to conduct research on the tools, methodologies, practises, and applications of Computing and Communication technologies.
Internet of Things
  • AI and Machine Learning for the IoT
  • Energy Efficiency and Sustainability in IoT
  • Smart Sensing, Signal Processing and Analytics
  • Human-Machine Interaction and IoT
  • M2M/IoT Services over Distributed Networks
  • Cloud/Fog/Edge-enabled Big Data Intelligence over IoT
  • 6G-Enabled Internet of Things
  • Security, Privacy, Intrusion Detection for the Internet of Things
Big Data
  • Multi-Modal Perceptual Big Data Analysis
  • Intelligent Data Mining
  • Machine Learning on Big Data
  • Data Science and Scalable Computing
  • Predictive Analytics and Simulation
  • Big Data as a Service (BDaaS) Platform and Technologies
  • Big Data System Reliability, Dependability, and Availability
  • Knowledge Extraction, Discovery, and Analysis
  • Security and Privacy-Aware Data Management
Cloud Computing
  • Cloud-centric Network Architectures
  • Social and Mobile Cloud Applications
  • Cloud Service Adaptation and Automation
  • Fault Tolerance, Availability, and Reliability
  • Distributed Ledger Technologies to Cloud
  • Sustainable Cloud Computing
  • Hybrid-clouds/Multi-clouds/Terminal-Edge-Cloud Integration
  • Cloud Computing Virtualization
Smart Industrial Systems & IoT-Driven Manufacturing
  • Industrial IoT (IIoT) Architectures for Smart Factories
  • Cyber-Physical Systems for Real-Time Production Monitoring
  • Digital Twins for Predictive Maintenance and Process Optimization
  • Edge–Fog–Cloud Computing Models for Industrial Automation
  • AI-Enabled IoT Sensors for Quality Control and Inspection
  • Industrial Robotics and Autonomous Systems Integration
  • Smart Logistics and Warehouse Automation Using IoT
Data-Driven Decision Making & Intelligent Industrial Networks
  • Big Data Analytics for Supply Chain Intelligence
  • Networked Industrial Systems for High-Reliability Communications
  • Machine Learning Models for Production Forecasting & Optimization
  • Blockchain for Secure Industrial Data Exchange and Traceability
  • Real-Time Analytics for Resource Allocation and Operational Efficiency
  • Cloud-Based Industrial Control Systems and Distributed Computing
  • Industrial Cybersecurity for Connected Manufacturing Environments
Intelligent Mechanical Systems & Smart Manufacturing
  • IoT-Enabled Condition Monitoring of Mechanical Equipment
  • Predictive Maintenance Using Machine Learning and Sensor Networks
  • Digital Twin Models for Mechanical Systems and Industrial Machines
  • Smart Materials, Mechatronics, and Embedded Sensor-Based Design
  • Robotics, Automation, and Autonomous Mechanical Systems
  • Thermal Management & Energy Efficiency Through Smart Data Analytics
  • Advanced Manufacturing Systems Using Cyber-Physical Integration
Smart Healthcare Systems & Intelligent Medical Technologies
  • IoT-Based Remote Patient Monitoring and Wearable Health Devices
  • Big Data Analytics for Disease Prediction and Precision Healthcare
  • Smart Hospital Systems Using Cloud and Real-Time Data Processing
  • AI-Driven Diagnostic Systems and Medical Imaging Intelligence
  • Secure Healthcare Data Management Using Blockchain and Cryptography
  • Health Information Systems and Interoperable Medical Networks
  • Digital Therapeutics, Telemedicine, and Virtual Care Platforms