What are the main research areas on this website?

The website focuses on IoT, mobile wireless networks, AI applications, environmental sensing, and spatio-temporal data analysis.

Where can I find the publications list?

You can find the consolidated publications page at https://cclljj.github.io/publications/ with categories such as journal articles and conference papers.

Are machine-readable endpoints available for AI agents?

Yes. The site provides machine-readable JSON endpoints, including https://cclljj.github.io/index.json and https://cclljj.github.io/publications/index.json, plus llms.txt guidance.

Ling-Jyh Chen

Q: Who is Ling-Jyh Chen?

Ling-Jyh Chen is the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica.

128, Sec. 2, Academia Road, Taipei 11529, Taiwan · cclljj@iis.sinica.edu.tw

Current Roles

Research Fellow

Institute of Information Science, Academia Sinica

Director

Department of Information Technology Services, Academia Sinica

Chief Executive Officer

Taiwan AI Academy,

Biography

Dr. Ling-Jyh Chen is currently the Chief Executive Officer of Taiwan AI Academy and a Research Fellow at the Institute of Information Science, Academia Sinica. He also serves as the Director of the Department of Information Technology Services at Academia Sinica. Dr. Chen holds a PhD in Computer Science from UCLA, specializing in Internet of Things (IoT), Mobile Wireless Networks, and Spatio-temporal Big Data Analysis using AI technologies. His most notable achievement is the Micro PM2.5 Sensor System, which has successfully deployed over 20,000 sensors in 59 countries worldwide. This system promotes research and development in the field of micro air quality sensing, encompassing hardware and software, as well as real-time data analysis and smart city technologies.

Beyond his academic research, Dr. Chen leads the information technology team at Academia Sinica to advance areas such as information security, administrative computerization systems, computational services, and digital learning. Recently, he led his team in introducing generative AI technology into administrative services, aiming to enhance the efficiency and quality of all academic administrative services. Since joining Taiwan AI Academy, Dr. Chen has been responsible for promoting AI capability certification and government AI adoption. He aspires to contribute positively by elevating AI literacy, fostering technological development, and driving industrial transformation through AI applications across various sectors.