Page 76 - 2017 Brochure
P. 76
研究員
陳伶志 Ling-Jyh Chen
Associate Research Fellow
Ph.D., Computer Science, University of California, Los Angeles
Tel: +886-2-2788-3799 ext. 1702 Fax: +886-2-2782-4814
Email: cclljj@iis.sinica.edu.tw
https://sites.google.com/site/cclljj/
• Associate Research Fellow, Institute of Information Science, Academia Sinica (2011-present)
• Assistant Research Fellow, Institute of Information Science, Academia Sinica (2005-2011)
• Ph.D., Computer Science, University of California at Los Angeles (2005)
• M.S., Computer Science, University of California at Los Angeles (2002)
• B.Ed., Information and Computer Education, National Taiwan Normal University (1998)
Research Description sensing and enables them to make low-cost PM2.5 sensing devices
on their own. It also facilitates PM2.5 monitoring at a finer spatio-
My research interests lie in the area of networked sensing systems temporal granularity and enriches environmental data analysis by
and applications. The primary objectives of my research are 1) to making all measurement data freely available to everyone. As of
investigate theoretical models of real world systems 2) to conduct 2017, we have deployed more than 2,000 devices in more than 30
real world deployment to verify theoretical models and 3) to countries, and we have developed a set of algorithms for device
combine theoretical models and system deployment to solve real ranking, emission source detection and anomaly detection. Based
world problems. on our research results, we have begun collaborating with the
government agencies on smart governance, smart inspection and
Specifically, we investigate participatory sensing systems that other related issues.
combine networked sensing and crowdsourcing techniques to
collect streams of data about the surroundings at personal, society Ongoing research focuses on spatio-temporal data analysis of
and urban levels. We have deployed a comfort measurement IoT systems and its applications. We intend to apply our research
system, called TPE-CMS, for public transportation systems in to other real world, networked sensing systems, including
the greater Taipei area. Moreover, we have utilized this system to participatory sensing for urban profiling, environmental monitoring,
conduct data-driven research, wherein information is extracted from and wearable sensing and computing. Moreover, we wish to
collected data, demonstrating that such systems are feasible and employ advanced artificial intelligence techniques to increase the
scalable for producing detailed information regarding transportation smartness of networked sensing systems, and we will incorporate
service and traffic conditions at the city level. our research into emerging social computing systems to facilitate
the development of cyber-physical socially networked systems.
In addition, we study systems in the Internet of Things (IoT) and
have developed a large-scale system, called AirBox, for monitoring Lee. The Design and Evaluation of Task Assignment Algorithms for
PM2.5. This project engages citizens to participate in environmental GWAP-based Geospatial Tagging Systems. Mobile Networks and
Applications, ACM/Springer, volume 17, number 3, pp.395-414, June,
Publications 2012.
7. Chien-Yu Kuo, Ming-Feng Lee, Chia-Lin Fu, Yao-Hua Ho, and Ling-
1. Ling-Jyh Chen, Yung-Chih Chen, Tony Sun, Paruveli Sreedevi, Kuan- Jyh Chen. An In-depth Study of Forecasting Household Electricity
Ta Chen, Chen-Hung Yu, and Hao-hua Chu. Finding Self-Similarities Demand using Realistic Datasets. ACM International Conference on
in Opportunistic People Networks. IEEE Conference on Computer Future Energy Systems (e-Energy'14), Cambridge, UK, 2014.
Communications (Infocom'07), Anchorage, Alaska, USA, 2007. 8. Wen-Yuan Zhu, Wen-Chih Peng, Chih-Chieh Hung, Po-Ruey Lei, and
Ling-Jyh Chen. Exploring Sequential Probability Tree for Movement-
2. Ling-Jyh Chen, Chen-Hung Yu, Cheng-Long Tseng, Hao-hua Chu, based Community Discovery. IEEE Transactions on Knowledge and
and Cheng-Fu Chou. A Content-Centric Framework for Effective Data Data Engineering, volume 26, number 11, pp. 2717-2730, November,
Dissemination in Opportunistic Networks. IEEE Journal of Selected 2014.
Areas in Communications, volume 26, number 5, pp. 761-772, June, 9. Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, and
2008. Xiaofang Zhou. Modeling User Mobility for Location Promotion
in Location-based Social Networks. ACM SIGKDD Conference on
3. Ling-Jyh Chen, Tony Sun, Guang Yang, M. Y. Sanadidi, and Mario Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia,
Gerla. AdHoc Probe: End to end Capacity Probing in Ad Hoc 2015.
Networks. Wireless Networks, ACM/Springer, volume 15, number 1, 10. Wen-Yuan, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, and Xiaofang
pp. 111-126, January, 2009. Zhou. Exploiting Viral Marketing for Location Promotion in Location-
based Social Networks. ACM Transactions on Knowledge Discovery
4. Jyh-How Huang, Ying-Yu Chen, Yu-Te Huang, Po-Yen Lin, Yi-Chao from Data, volume 11, number 2, article no. 25, November, 2016.
Chen, Yi-Fu Lin, Shih-Ching Yen, Polly Huang, and Ling-Jyh Chen.
Rapid Prototyping for Wildlife and Ecological Monitoring. IEEE
Systems Journal, volume 4, number 2, pp. 198-209, June, 2010.
5. Ling-Jyh Chen, Bo-Chun Wang, and Wen-Yuan Zhu. The Design
of Puzzle Selection Strategies for ESP-like GWAP Systems. IEEE
Transactions on Computational Intelligence and AI in Games, volume
2, number 2, pp. 120-130, June, 2010.
6. Ling-Jyh Chen, Yu-Song Syu, Hung-Chia Chen, and Wang-Chien
74 研究人員 Research Faculty
陳伶志 Ling-Jyh Chen
Associate Research Fellow
Ph.D., Computer Science, University of California, Los Angeles
Tel: +886-2-2788-3799 ext. 1702 Fax: +886-2-2782-4814
Email: cclljj@iis.sinica.edu.tw
https://sites.google.com/site/cclljj/
• Associate Research Fellow, Institute of Information Science, Academia Sinica (2011-present)
• Assistant Research Fellow, Institute of Information Science, Academia Sinica (2005-2011)
• Ph.D., Computer Science, University of California at Los Angeles (2005)
• M.S., Computer Science, University of California at Los Angeles (2002)
• B.Ed., Information and Computer Education, National Taiwan Normal University (1998)
Research Description sensing and enables them to make low-cost PM2.5 sensing devices
on their own. It also facilitates PM2.5 monitoring at a finer spatio-
My research interests lie in the area of networked sensing systems temporal granularity and enriches environmental data analysis by
and applications. The primary objectives of my research are 1) to making all measurement data freely available to everyone. As of
investigate theoretical models of real world systems 2) to conduct 2017, we have deployed more than 2,000 devices in more than 30
real world deployment to verify theoretical models and 3) to countries, and we have developed a set of algorithms for device
combine theoretical models and system deployment to solve real ranking, emission source detection and anomaly detection. Based
world problems. on our research results, we have begun collaborating with the
government agencies on smart governance, smart inspection and
Specifically, we investigate participatory sensing systems that other related issues.
combine networked sensing and crowdsourcing techniques to
collect streams of data about the surroundings at personal, society Ongoing research focuses on spatio-temporal data analysis of
and urban levels. We have deployed a comfort measurement IoT systems and its applications. We intend to apply our research
system, called TPE-CMS, for public transportation systems in to other real world, networked sensing systems, including
the greater Taipei area. Moreover, we have utilized this system to participatory sensing for urban profiling, environmental monitoring,
conduct data-driven research, wherein information is extracted from and wearable sensing and computing. Moreover, we wish to
collected data, demonstrating that such systems are feasible and employ advanced artificial intelligence techniques to increase the
scalable for producing detailed information regarding transportation smartness of networked sensing systems, and we will incorporate
service and traffic conditions at the city level. our research into emerging social computing systems to facilitate
the development of cyber-physical socially networked systems.
In addition, we study systems in the Internet of Things (IoT) and
have developed a large-scale system, called AirBox, for monitoring Lee. The Design and Evaluation of Task Assignment Algorithms for
PM2.5. This project engages citizens to participate in environmental GWAP-based Geospatial Tagging Systems. Mobile Networks and
Applications, ACM/Springer, volume 17, number 3, pp.395-414, June,
Publications 2012.
7. Chien-Yu Kuo, Ming-Feng Lee, Chia-Lin Fu, Yao-Hua Ho, and Ling-
1. Ling-Jyh Chen, Yung-Chih Chen, Tony Sun, Paruveli Sreedevi, Kuan- Jyh Chen. An In-depth Study of Forecasting Household Electricity
Ta Chen, Chen-Hung Yu, and Hao-hua Chu. Finding Self-Similarities Demand using Realistic Datasets. ACM International Conference on
in Opportunistic People Networks. IEEE Conference on Computer Future Energy Systems (e-Energy'14), Cambridge, UK, 2014.
Communications (Infocom'07), Anchorage, Alaska, USA, 2007. 8. Wen-Yuan Zhu, Wen-Chih Peng, Chih-Chieh Hung, Po-Ruey Lei, and
Ling-Jyh Chen. Exploring Sequential Probability Tree for Movement-
2. Ling-Jyh Chen, Chen-Hung Yu, Cheng-Long Tseng, Hao-hua Chu, based Community Discovery. IEEE Transactions on Knowledge and
and Cheng-Fu Chou. A Content-Centric Framework for Effective Data Data Engineering, volume 26, number 11, pp. 2717-2730, November,
Dissemination in Opportunistic Networks. IEEE Journal of Selected 2014.
Areas in Communications, volume 26, number 5, pp. 761-772, June, 9. Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, and
2008. Xiaofang Zhou. Modeling User Mobility for Location Promotion
in Location-based Social Networks. ACM SIGKDD Conference on
3. Ling-Jyh Chen, Tony Sun, Guang Yang, M. Y. Sanadidi, and Mario Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia,
Gerla. AdHoc Probe: End to end Capacity Probing in Ad Hoc 2015.
Networks. Wireless Networks, ACM/Springer, volume 15, number 1, 10. Wen-Yuan, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, and Xiaofang
pp. 111-126, January, 2009. Zhou. Exploiting Viral Marketing for Location Promotion in Location-
based Social Networks. ACM Transactions on Knowledge Discovery
4. Jyh-How Huang, Ying-Yu Chen, Yu-Te Huang, Po-Yen Lin, Yi-Chao from Data, volume 11, number 2, article no. 25, November, 2016.
Chen, Yi-Fu Lin, Shih-Ching Yen, Polly Huang, and Ling-Jyh Chen.
Rapid Prototyping for Wildlife and Ecological Monitoring. IEEE
Systems Journal, volume 4, number 2, pp. 198-209, June, 2010.
5. Ling-Jyh Chen, Bo-Chun Wang, and Wen-Yuan Zhu. The Design
of Puzzle Selection Strategies for ESP-like GWAP Systems. IEEE
Transactions on Computational Intelligence and AI in Games, volume
2, number 2, pp. 120-130, June, 2010.
6. Ling-Jyh Chen, Yu-Song Syu, Hung-Chia Chen, and Wang-Chien
74 研究人員 Research Faculty
