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副研究員
                         陳伶志 Ling-Jyh Chen



               Associate Research Fellow
               Ph.D., Computer Science, University of California at Los Angeles
               Tel: +886-2-2788-3799 ext. 1702      Fax: +886-2-2782-4814
               Email: cclljj@iis.sinica.edu.tw
               http://www.iis.sinica.edu.tw/cclljj/



                  Research Description                                                      ● Associate Research Fellow, IIS,
                                                                                           Academia Sinica (2011 - present)
               My research interests lie in the area of computer network systems and applications. The pri-    ● Assistant Research Fellow, IIS,
               mary objectives of my research are 1) to understand the fundamental properties of mobile   Academia Sinica (2005 - 2011)
               and wireless networks; and 2) to investigate feasible solutions that facilitate more enjoyable     ● Ph.D., Computer Science, Univer-
               network experience for end users.                                           sity of California at Los Angeles
                                                                                           (2005)

               Speci cally, we research networked sensing systems in hostile environments. We perform
               analytical study to model network mobility and design fault-tolerant mechanisms to facili-    ● M.S., Computer Science, Univer-
               tate reliable sensing data harvesting in challenged environments. Moreover, we prototype   sity of California at Los Angeles
                                                                                           (2002)
               our research results and conduct real-world deployment. One of the most remarkable sys-
               tem is the YushanNet system, which we have deployed for hiker tracking, search, and rescu-    ● B.Ed., Information and Computer
               ing in Yushan National Park in Taiwan.                                      Education, National Taiwan Nor-
                                                                                           mal University (1998)
               In addition, we investigate participatory sensing systems that combine networked sensing
               and crowdsourcing techniques to collect streams of data of the surroundings at personal,
               society, and urban levels. We have carried out a comfort measuring system, called TPE-CMS, for public transportation systems in the
               greater Taipei area. Moreover, we have conducted data-driven research to discover knowledge and information from the collected data,


               and the results show that such system is feasible and scalable in yielding detailed information of tra c condition and transportation
               systems at the city level.
               My ongoing research focuses on human-centric mobile sensing system and its applications. We intend to apply our research results to

               real-world networked sensing systems, such as participatory sensing for urban pro ling, wearable sensing and computing, and mobile
               search and rescue in disaster areas. Moreover, we wish to incorporate our research results with emerging social computing systems as a
               whole to facilitate cyber-physical social network systems in the future.


                  Publications


               1.  Rohit Kapoor, Ling-Jyh Chen, Li Lao, Mario Gerla, and M. Y.   6.  Jyh-How Huang, Ying-Yu Chen, Yu-Te Huang, Po-Yen Lin,
                   Sanadidi. CapProbe: A Simple and Accurate Capacity Estima-  Yi-Chao Chen, Yi-Fu Lin, Shih-Ching Yen, Polly Huang, and
                   tion Technique. ACM SIGCOMM 2004, Portland, USA, 2004.  Ling-Jyh Chen. Rapid Prototyping for Wildlife and Ecological
                                                                       Monitoring. IEEE Systems Journal, volume 4, number 2, pp.
               2.  Ling-Jyh Chen, Yung-Chih Chen, Tony Sun, Paruveli Sreede-  198-209, June, 2010.
                   vi, Kuan-Ta Chen, Chen-Hung Yu, and Hao-hua Chu. Find-
                   ing Self-Similarities in Opportunistic People Networks. IEEE   7.  Ling-Jyh Chen, Bo-Chun Wang, and Wen-Yuan Zhu. The De-
                   Conference on Computer Communications (Infocom’07), An-  sign of Puzzle Selection Strategies for ESP-like GWAP Sys-
                   chorage, Alaska, USA, 2007.                         tems. IEEE Transactions on Computational Intelligence and
                                                                       AI in Games, volume 2, number 2, pp. 120-130, June, 2010.
               3.  Ling-Jyh Chen, Chen-Hung Yu, Cheng-Long Tseng, Hao-hua
                   Chu, and Cheng-Fu Chou. A Content-Centric Framework for   8.  Ling-Jyh Chen, Yu-Song Syu, Hung-Chia Chen, and Wang-
                   Effective  Data  Dissemination  in  Opportunistic  Networks.   Chien Lee. The Design and Evaluation of Task Assignment
                   IEEE Journal of Selected Areas in Communications, volume   Algorithms  for GWAP-based Geospatial  Tagging  Systems.
                   26, number 5, pp. 761-772, June, 2008.              Mobile Networks and Applications,  ACM/Springer, volume
                                                                       17, number 3, pp.395-414, June, 2012.
               4.  Ling-Jyh Chen, Tony Sun, Bo-Chun Wang, M. Y. Sanadidi,
                   and Mario Gerla. PBProbe: A Capacity Estimation Tool for   9.  Bo-Chun  Wang, Chien-Wei Lin, Kuan-Ta Chen, and Ling-
                   High Speed Networks.  Computer Communications  Journal,   Jyh Chen. An Analytical Model for Generalized ESP Games.
                   Elsevier, volume 31, number 17, pp. 3883-3893, November,   Knowledge-Based  Systems,  Elsevier, volume  34, pp.  114-
                   2008.                                               127, 2012.
               5.  Ling-Jyh Chen, Tony Sun, Guang Yang, M. Y. Sanadidi, and   10.  Wen-Yuan Zhu, Wen-Chih Peng, Po-Ruey Lei, and Ling-Jyh
                   Mario Gerla. AdHoc Probe: End to end Capacity Probing in   Chen. Exploring Sequential Probability Tree for Movement-
                   Ad Hoc Networks. Wireless Networks, ACM/Springer, volume   based Community Discovery. Accepted to IEEE Transactions
                   15, number 1, pp. 111-126, January, 2009.           on Knowledge and Data Engineering.






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