jingpei dan
associate professor
email: danjingpei@cqu.edu.cn
jingpei dan received the ph.d degree from tokyo institute of technology, japan, in 2011. she is currently an associate professor at the college of computer science, chongqing university, china. her research interests include computational intelligence, big data mining, nlp, and structural health monitoring.she has cooperated with ieee fellow ling liu at georgia institute of technology, us as a visiting scholar since 2017. she has published several papers in international journals and conferences, leaded and participated in a number of research projects.
selected publication(*corresponding author)
jingpei dan*，wending feng, xia huang, yuming wang, global bridge damage detection using multi-sensor data based on optimized functional echo state networks, structural health monitoring, in press, 2020 (sci q1，top)
jingpei dan*，ling liu，yuming wang, junji chen, xia huang, real-time bridge structural condition evaluation based on data compression, cwsn2019,ccis 1101,143-153, 2019
jingpei dan*，wenbo guo，weiren shi，bin fang，tingping zhang，pso based deterministic esn models for stock price forecasting，journal of advanced computational intelligence and intelligent informatics，2015, 19(2): 312-318
jingpei dan*，wenbo guo，weiren shi，bin fang，tingping zhang，deterministic echo state networks based stock price forecasting，abstract and applied analysis，2014，2014(1):1-6(sci)
jingpei dan*，weiren shi，fangyan dong，kaoru hirota，piecewise trend approximation: a ratio-based time series representation，abstract and applied analysis，2013，2013(1):1-7(sci)
jingpei dan*，fangyan dong，kaoru hirota，fuzzy local trend transform based fuzzy time series forecasting model，international journal of computers, communications & control，2011，6(4)：603-614 (sci)
7. jingpei dan*，fuding xie，fangyan dong，kaoru hirota，mean local trend error and fuzzy-inference-based multicriteria evaluation for supply chain demand forecasting，journal of advanced computational intelligence and intelligent informatics，2011,15(2)：134-144
projects
national natural science youth foundation of china: bridge structural health condition analysis and assessment based on big data mining.(pi)
chongqing application foundation and research in cutting edge technologies：the research on big data mining based structural health condition analysis. (pi)
frontier interdisciplinary research fund for the central universities: research on mass time series data mining methods based on inherent characteristics. (pi)
