4th International Conference on Sustainable Information Engineering and Technology

SIET 2019

Event Date

2019-09-28 ~ 2019-09-30



Submission Date



The International Conference on Sustainable Information Engineering and Technology (SIET) and its satellite events are held to bring together academia, researchers, business entrepreneurs, practitioners, and policymakers who are responsible for applying information engineering and technology by leveraging data analytics to support sustainable development in education as well as industry. As the data involved in industry and education rapidly grows, the more advanced technology and technique are required to derive meaningful information from raw data. Based on such issue, the theme for SIET 2019 will be "Sustainable information engineering and technology for applied data analytics in industry and education sectors."
This year, SIET 2019 and its satellite events will be held in Aruna Senggigi Resort & Convention, Senggigi, Kabupaten Lombok Barat, West Nusa Tenggara, Indonesia on September 28 – 30, 2019. The accepted and presented papers will be forwarded for consideration to be published in IEEE Xplore. Non-presented papers will be pulled from submission to IEEE Xplore. The previous events, i.e. SIET 2017 and SIET 2018, has been published in IEEE Xplore and indexed by major database (i.e., SCOPUS).
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