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. Nowadays, the advancement of intelligent technologies, coupled with software-based services, has made the possibility of human-environment engagement and interaction more seamlessly. Since human have different conditions and different ways to engage and interact with their immediate surroundings, various aspects from sensing technology to computer processing techniques are required for a smart environment. Based on such issue, the theme for SIET 2020 will be "Sustainable Information Engineering and Technology: Intelligent Computing for a Smart Environment".
This year, SIET 2020 and its satellite events will be held in Faculty of Computer Science, Brawijaya University, Malang, Indonesia on November 16 – 17, 2020.
Paper Format - Papers submitted for SIET 2020 should be up to 6 pages of text including figures and possible references. Any paper with more than 6 pages will be charge $50/page. The authors are responsible to ensure that the submitted papers are in the correct styles, fonts, etc.
Template - All papers must be formatted according to ACM standard. The correct Ms Word template for ACM conference paper is available here, while the template for LaTex is available here. For more detail, please refer to this page.
Topics
Topics of interest include, but are not restricted to:
Smart systems
- Smart city
- Smart Home and Building
- Smart cloud technology
- Smart appliances & wearable computing devices
- Robotic systems
- Smart sensor networks
- Information infrastructure for smart living spaces
- Intelligent transportation systems
Domain specific frameworks and applications
- Energy independent
- Sustainable Technology
- IT management and governance
- e-Government and public sector
- e-Healthcare, e-Learning, e-Manufacturing, e-Commerce
- ERP and supply chain management
- Business process management
- Big Data Analytics & Data Mining for Smart Manufacturing
- AI & Computational Intelligence for Smart Manufacturing
- Human-machine Collaboration
- Educational Data Mining
- Massive Open Online Courses (MOOCs) Analytics
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
- Natural language processing