Call for Papers

The International Conference on Sustainable Information Engineering and Technology (SIET) is held to bring together academia, researchers, business entrepreneurs, practitioners, and policymakers who are responsible for applying information engineering and technology by leveraging intelligent computing to create and enabling a smart environment. The pandemic COVID-19 has transformed many aspects of our live. Mckinsey reports that COVID-19 has speeded the adoption of digital technologies by several years—and that many of these changes could be here for the long haul. During the pandemic, consumers have move dramatically to online channels. We now also are more familiar with working from home than before. It brings opportunities and also challenges.

Thus, based on such an issue, the theme for SIET 2022 will be "Embracing digital transformation in the post-pandemic era: challenges, applications, and opportunities".

Click here for template and instruction for authors.

Topics

Topics of interest include, but are not restricted to:

Challenges and opportunities in the post-pandemic era

• Sustainable Technology and Renewable Energy
• Information Technology for Sustainable Agriculture, Environmental and Water Management
• Information Technology in Bio- and Medical Informatics
• Smart city and sustainable urban development
• IT management and governance
• e-Government and e-Governance
• e-Healthcare, e-Manufacturing, e-Commerce
• Business Process Management (BPM), Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Business Intelligence (BI)
• Big Data Analytics & Data Mining for Sustainability
• Human-machine Collaboration and digital working spaces
• Educational, e-Learning, and Massive Open Online Courses (MOOCs) Analytics
• Information systems and social media usage for organisations

Models, methods, and techniques

• Conceptual modeling, languages, and design
• Software engineering
• Information-centric networking
• Human-computer interaction
• Media, game, and mobile technologies
• Data mining
• Information retrieval
• Information security
• Image processing and pattern recognition
• Remote sensing and Geographic Information System
• Natural language processing