AI Partner
Publication Partner
International Managing Partner
The conference papers will cover disciplines of Computing, Engineering and Technology. The topics of interest include, but are not limited to the following:
Machine Learning, Deep Learning, and Reinforcement Learning
Soft Computing, Fuzzy Systems, and Evolutionary Algorithms
Knowledge Representation, Reasoning, and Expert Systems
Explainable AI, Trustworthy AI, and Ethical AI
Intelligent Agents and Multi-Agent Systems
Next-Generation Communication Systems (5G/6G)
Internet of Things (IoT), Industrial IoT, and Smart Sensors
Edge, Fog, and Cloud Computing Architectures
Cyber-Physical Systems and Digital Twins
Network Security, Blockchain, and Secure Communications
Smart Cities and Intelligent Infrastructure
Intelligent Control Systems and Robotics
Embedded Systems and Real-Time Computing
Signal Processing and Image/Video Analytics
Intelligent Instrumentation and Measurement Systems
Business Intelligence and Decision Support Systems
Predictive Analytics for Finance, Marketing, and Operations
Supply Chain and Logistics Intelligence
Human Resource Analytics and Workforce Intelligence
FinTech, InsurTech, and Intelligent Financial Systems
Digital Transformation and Smart Governance
Green Computing and Energy-Efficient Algorithms
Intelligent Energy Systems and Smart Grids
Sustainable Manufacturing and Industry 4.0
AI for Environmental Monitoring and Climate Analytics
Circular Economy Models and Resource Optimization
ESG Analytics and Sustainability Performance Measurement
Big Data Analytics and Data Mining
Optimization Techniques and Metaheuristic Algorithms
Natural Language Processing and Information Retrieval
Intelligent Healthcare and Bio-Informatics Systems
Social Network Analysis and Computational Social Science
ICICC-2026 encourages original, unpublished, and high-quality research that demonstrates interdisciplinary innovation, practical relevance, and societal impact, particularly studies that integrate intelligent computing with sustainable development goals and data-driven practices.
Submitted papers must be original, unpublished, and not under consideration elsewhere. All manuscripts will undergo a rigorous peer review process, and accepted papers must be registered to be included in the final proceedings. All accepted and registered papers shall be published in SPRINGER SCOPUS indexed book series.
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