Call for Papers

The 8th International Conference on Industrial and Business Engineering (ICIBE 2022), September 27-29, 2022 in Macau, China, is the premier forum for the presentation of new advances and research results in education theory and practice.

This conference is a prestigious event, organized to provide an international platform for academicians, researchers, managers, industrial participants and students to share their research findings with global experts. All full paper submissions will be peer-reviewed and evaluated based on originality, technical and/or research depth, accuracy and relevance to conference theme and topics. (call for paper)

Engineering Economy and Cost Analysis
Engineering Education and Training
Global Manufacturing and Management
Project Management
Safety, Security and Risk Management
Supply Chain Management
Logistics Engineering and Management
Work Space Design and Equipment Management
Ergonomics and Its Applications
Industrial Internet of Things
Block chain for Manufacturing and Management
Product Lifecycle Management

Design methods, tools and science for e-business
Models, platforms and applications for e-business
Components, services and solutions for e-business
Aspects of green business and green commerce
Cloud and mobile software engineering
Service-oriented software engineering

Industry 4.0 and Smart Manufacturing
Enterprise usage with Machine Learning
Trusted and traceable network with Blockchain
Data and knowledge engineering for e-business
Workflow and business process tools and management for e-business
Semantic Web, Web 2.0, and business intelligence
Stream processing, complex event processing and continuous queries
E-business marketing, data mining, and relationship management
Machine learning, cybernetics, and agents for e-business services management
Knowledge management and e-learning
Big data and super computing
Big data analytics for e-business
Super computing and simulation of e-businesses
Applications of super computing

IoS (Internet of Services) plus IoT
Architectures and platforms of IoT applications
Machine learning and Evolutionary Computing for IoT applications
Edging/Cloud Computing for Smart IoT
Smart manufacturing and Industrial IoT
Smart cities and internet of vehicles
Control and decision making for smart IoT
Security and privacy for smart IoT