CITI – Center for IoT Innovation
Center for IoT Innovation (CITI) is one of the leading research centers in National Taiwan University of Science and Technology (NTUST). We delve into the realms of IoT and AI, unlocking new dimensions of connectivity and intelligence.
A research center
We has a strong emphasis on the technology-enabled services and approaches to resolve current world problems. Our research has a focused on engagement with industry and is particularly focused on the areas of tech-enabled services. We apply new knowledge and insights from the lab to the real world challenges to improve businesses, policies, practices, and outcomes.
15 + Years of Research Experience
40 + Institutions & Organizations in Cooperation
10 + Industry Leading Projects
20 Professors & Researchers
Want to be Part of Our Team?
- We’d love to hear from you. We are now open for a full time, a part time and internship positions.
Main Topics
We apply new knowledge and insights from the lab to real world challenges, improving business, policy, practice and outcomes. We build and develop the future environment for living.
Intelligent Transport System
ITS revolutionizes mobility with technology, data, and efficient transport solutions.
Energy Management System
EMS optimizes energy usage for sustainable and efficient household consumption.
Supply Chain
Supply chain system streamlines logistics for seamless and efficient operations.
Smart Building
Smart buildings integrate technology for efficient, automated, and sustainable environments.
Advance Scheduling
Advanced scheduling optimizes time, resources, and tasks for efficient operations.
Data Analytics
Data analytics extracts insights, driving informed decisions and strategic innovations.
Find Out More About Our Research
Learn about our groundbreaking research projects on our research page.
Professors & Instructors
Our comprehensive suite of professionals caters to a diverse team, ranging from seasoned architects to renowned engineers.
Director
Professor
Professor
Distinguished Professor