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研
人 Research Fellow
員 陳伶志 Ling-Jyh Chen
Faculty Ph.D., Computer Science, University of California at Los Angeles, United States
T +886-2-2788-3799 ext. 1702 E cclljj@iis.sinica.edu.tw
F +886-2-2782-4814 W www.iis.sinica.edu.tw/pages/cclljj
・ Director (2018-present), Department of Information Technology Services, Academia
Sinica
・ Assistant Research Fellow (2005), Associate Research Fellow (2011), Research Fellow
(2017-present), Institute of Information Science, Academia Sinica
Research Description
My research interests lie in the area of networked sensing systems and applications. The primary objectives of my research are 1) to
investigate theoretical models of real-world systems; 2) to conduct real world deployment to verify theoretical models; and 3) to combine
theoretical models and system deployment to solve real world problems.
Speci cally, we investigate Internet of Things systems and develop a large-scale system, called AirBox, for participatory PM2.5 monitoring. The
project engages citizens to participate in environmental sensing and enables them to make low-cost PM2.5 sensing devices on their own. It
also facilitates PM2.5 monitoring at a ner spatio-temporal granularity and enriches environmental data analysis by making all measurement
data freely available to everyone. Till 2020, we have deployed more than 15,000 devices in 58 countries, and we have developed a set of
algorithms for device ranking, emission source detection, anomaly detection, PM2.5 forecast, and clean air routing applications. Based on our
research results, we have been collaborating with the government agencies on smart governance, smart inspection, and the related issues.
My ongoing research focuses on spatio-temporal data analysis of IoT systems and its applications. We intend to apply our research results
to other real-world networked sensing systems, such as participatory sensing for urban pro ling, environmental monitoring, and wearable
sensing and computing. Moreover, we wish to employ advanced arti cial intelligence techniques to increase the intelligence of networked
sensing systems, and we will incorporate our research results with emerging social computing systems as a whole to facilitate cyber-physical
socially networked systems in the future.
Publications
1. Jiayu Li, Huang Zhang, Chun-Ying Chao, Chih-Hsiang Chien, 6. Guowen Huang, Ling-Jyh Chen, Wen-Han Hwang, ShengLi
Chang-Yu Wu, Cyuan Heng Luo, Ling-Jyh Chen, and Pratim Tzeng, and Hsin-Cheng Huang. Real-Time PM2.5 Mapping and
Biswas. Integrating Low-cost Air Quality Sensor Networks Anomaly Detection from AirBoxes in Taiwan. Environmetrics,
with Fixed and Satellite Monitoring Systems to Study Ground- volume 29, issue 8, e2537, December, 2018.
level PM2.5 Atmospheric Environment. Elsevier Atmospheric
Environment, volume 223, pages 117293, February, 2020. 7. Yi-Bing Lin, Ying-Ju Shih, Hung-Chun Tseng, and Ling-Jyh
Chen. LWA Rate Adaption by Enhanced Event - Triggered
2. Nai-Cih Liou, Cyuan-Heng Luo, Sachit Mahajan, and Ling-Jyh Reporting. IEEE Transactions on Vehicular Technology, volume
Chen. Why Is Short-Time PM2.5 Forecast Difficult? The Effects 67, issue 11, pp. 10950-10959, November, 2018.
of Sudden Events. IEEE Access Journal, volume 8, pp. 12662 -
12674, December, 2019. 8. Sachit Mahajan, Hao-Min Liu, Tzu-Chieh Tsai, and Ling-Jyh
Chen. Improving the Accuracy and Efficiency of PM2.5 Forecast
3. Sachit Mahajan, Yu-Siou Tang, Dong-Yi Wu, Tzu-Chieh Tsai, and Service Using Cluster-based Hybrid Neural Network Model.
Ling-Jyh Chen. CAR: The Clean Air Routing Algorithm for Path IEEE Access Journal, volume 6, pp. 19193-19204, March, 2018.
Navigation with Minimal PM2.5 Exposure on the Move. IEEE
Access Journal, volume 7, pp. 147373 - 147382, October, 2019. 9. Ling-Jyh Chen, Yao-Hua Ho, Hsin-Hung Hsieh, Shih-Ting
Huang, Hu-Cheng Lee, and Sachit Mahajan. ADF: an Anomaly
4. Yi-Bing Lin, Hung-Chun Tseng, Li-Chang Wang, and Ling-Jyh Detection Framework for Large-scale PM2.5 Sensing Systems.
Chen. Performance of Splitting LTE-WLAN Aggregation. ACM/ IEEE Internet of Things Journal, volume 5, issue 2, pp. 559-570,
Springer Mobile Networks and Applications, volume 24, issue 5, April, 2018.
pp. 1587-1595, October, 2019.
10. Ling-Jyh Chen, Yao-Hua Ho, Hu-Cheng Lee, Hsuan-Cho Wu,
5. Yi-Bing Lin, Hung-Chun Tseng, Yun-Wei Lin, and Ling-Jyh Hao-Min Liu, Hsin-Hung Hsieh, Yu-Te Huang, and Shih-Chun
Chen. NB-IoTtalk: A Service Platform for Fast Development of Candice Lung. An Open Framework for Participatory PM2.5
NB-IoT Applications. IEEE Internet of Things Journal, volume 6, Monitoring in Smart Cities. IEEE Access Journal, volume 5, pp.
issue 1, pp. 928-939, February, 2019. 14441-14454, July, 2017.
170
人 Research Fellow
員 陳伶志 Ling-Jyh Chen
Faculty Ph.D., Computer Science, University of California at Los Angeles, United States
T +886-2-2788-3799 ext. 1702 E cclljj@iis.sinica.edu.tw
F +886-2-2782-4814 W www.iis.sinica.edu.tw/pages/cclljj
・ Director (2018-present), Department of Information Technology Services, Academia
Sinica
・ Assistant Research Fellow (2005), Associate Research Fellow (2011), Research Fellow
(2017-present), Institute of Information Science, Academia Sinica
Research Description
My research interests lie in the area of networked sensing systems and applications. The primary objectives of my research are 1) to
investigate theoretical models of real-world systems; 2) to conduct real world deployment to verify theoretical models; and 3) to combine
theoretical models and system deployment to solve real world problems.
Speci cally, we investigate Internet of Things systems and develop a large-scale system, called AirBox, for participatory PM2.5 monitoring. The
project engages citizens to participate in environmental sensing and enables them to make low-cost PM2.5 sensing devices on their own. It
also facilitates PM2.5 monitoring at a ner spatio-temporal granularity and enriches environmental data analysis by making all measurement
data freely available to everyone. Till 2020, we have deployed more than 15,000 devices in 58 countries, and we have developed a set of
algorithms for device ranking, emission source detection, anomaly detection, PM2.5 forecast, and clean air routing applications. Based on our
research results, we have been collaborating with the government agencies on smart governance, smart inspection, and the related issues.
My ongoing research focuses on spatio-temporal data analysis of IoT systems and its applications. We intend to apply our research results
to other real-world networked sensing systems, such as participatory sensing for urban pro ling, environmental monitoring, and wearable
sensing and computing. Moreover, we wish to employ advanced arti cial intelligence techniques to increase the intelligence of networked
sensing systems, and we will incorporate our research results with emerging social computing systems as a whole to facilitate cyber-physical
socially networked systems in the future.
Publications
1. Jiayu Li, Huang Zhang, Chun-Ying Chao, Chih-Hsiang Chien, 6. Guowen Huang, Ling-Jyh Chen, Wen-Han Hwang, ShengLi
Chang-Yu Wu, Cyuan Heng Luo, Ling-Jyh Chen, and Pratim Tzeng, and Hsin-Cheng Huang. Real-Time PM2.5 Mapping and
Biswas. Integrating Low-cost Air Quality Sensor Networks Anomaly Detection from AirBoxes in Taiwan. Environmetrics,
with Fixed and Satellite Monitoring Systems to Study Ground- volume 29, issue 8, e2537, December, 2018.
level PM2.5 Atmospheric Environment. Elsevier Atmospheric
Environment, volume 223, pages 117293, February, 2020. 7. Yi-Bing Lin, Ying-Ju Shih, Hung-Chun Tseng, and Ling-Jyh
Chen. LWA Rate Adaption by Enhanced Event - Triggered
2. Nai-Cih Liou, Cyuan-Heng Luo, Sachit Mahajan, and Ling-Jyh Reporting. IEEE Transactions on Vehicular Technology, volume
Chen. Why Is Short-Time PM2.5 Forecast Difficult? The Effects 67, issue 11, pp. 10950-10959, November, 2018.
of Sudden Events. IEEE Access Journal, volume 8, pp. 12662 -
12674, December, 2019. 8. Sachit Mahajan, Hao-Min Liu, Tzu-Chieh Tsai, and Ling-Jyh
Chen. Improving the Accuracy and Efficiency of PM2.5 Forecast
3. Sachit Mahajan, Yu-Siou Tang, Dong-Yi Wu, Tzu-Chieh Tsai, and Service Using Cluster-based Hybrid Neural Network Model.
Ling-Jyh Chen. CAR: The Clean Air Routing Algorithm for Path IEEE Access Journal, volume 6, pp. 19193-19204, March, 2018.
Navigation with Minimal PM2.5 Exposure on the Move. IEEE
Access Journal, volume 7, pp. 147373 - 147382, October, 2019. 9. Ling-Jyh Chen, Yao-Hua Ho, Hsin-Hung Hsieh, Shih-Ting
Huang, Hu-Cheng Lee, and Sachit Mahajan. ADF: an Anomaly
4. Yi-Bing Lin, Hung-Chun Tseng, Li-Chang Wang, and Ling-Jyh Detection Framework for Large-scale PM2.5 Sensing Systems.
Chen. Performance of Splitting LTE-WLAN Aggregation. ACM/ IEEE Internet of Things Journal, volume 5, issue 2, pp. 559-570,
Springer Mobile Networks and Applications, volume 24, issue 5, April, 2018.
pp. 1587-1595, October, 2019.
10. Ling-Jyh Chen, Yao-Hua Ho, Hu-Cheng Lee, Hsuan-Cho Wu,
5. Yi-Bing Lin, Hung-Chun Tseng, Yun-Wei Lin, and Ling-Jyh Hao-Min Liu, Hsin-Hung Hsieh, Yu-Te Huang, and Shih-Chun
Chen. NB-IoTtalk: A Service Platform for Fast Development of Candice Lung. An Open Framework for Participatory PM2.5
NB-IoT Applications. IEEE Internet of Things Journal, volume 6, Monitoring in Smart Cities. IEEE Access Journal, volume 5, pp.
issue 1, pp. 928-939, February, 2019. 14441-14454, July, 2017.
170
