基本介紹
- 中文名：孟淑娟
- 學位/學歷：博士
- 職業：教師
- 專業方向：環境工程
- 任職院校：北京航空航天大學
個人經歷,研究方向,學術成果,榮譽獎項,
個人經歷
教育背景
2006.09-2010.06，北京航空航天大學，環境工程專業，學士
2010.06-2010.08，美國史丹福大學，碩士聯合培養
2011.08-2015.09，新加坡南洋理工大學，環境工程專業，博士
工作經歷
2015.11-2016.10，新加坡南洋理工大學，博士後
研究方向
胞外透明聚合顆粒物，膜法水處理新技術的研究與套用，膜污染，污泥資源回收技術
學術成果
主持或參加科研項目
1. 北京航空航天卓越百人啟動項目，2018-2020，50萬，主持
2. 國家自然基金委青年基金，透明胞外聚合顆粒物形成機理及其導致有機-生物複合膜污染機制的研究，2019-2021，30萬，主持
3. 新加坡環境部（NEA），An Integrated Engineering System for Ethanol Production from Food Waste，2015-2018，430萬，參與（直接負責人）
4. 新加坡公用事業局（PUB），Development of Improved Strategies for Control Biofouling of Membranes in the Water Industry，參與（博士課題依託項目）
代表論文
1. Meng, S., W Fan, X Li, Y Liu, D Liang, X Liu (2018). Intermolecular interactions of polysaccharides in membrane fouling during microfiltration. Water Research, 143, 38-46. (IF 7.051)
2. Meng, S., Liu, Y. (2017). Transparent exopolymer particles (TEP)-associated membrane fouling at different Na+ concentrations. Water Research, 111, 52-58. (IF 7.051)
3. Meng, S., Winters, H. and Liu, Y. (2015). Ultrafiltration behaviors of alginate blocks at various calcium concentrations. Water Research 83, 248-257. (IF 7.051)
4. Meng, S. and Liu, Y. (2013). Alginate block fractions and their effects on membrane fouling. Water Research 47(17), 6618-6627. (IF 7.051)
5. Meng, S. and Liu, Y. (2016). New insights into transparent exopolymer particles (TEP) formation from precursor materials at various Na+/Ca2+ ratios. Scientific Reports 6, 19747. (IF 4.122)
6. Meng, S., Rzechowicz, M., Winters, H., Fane, A. and Liu, Y. (2013). Transparent exopolymer particles (TEP) and their potential effect on membrane biofouling. Applied Microbiology and Biotechnology 97(13), 5705-5710. (IF 3.340)
7. Yin, Y., Liu, Y., Meng, S., Kiran, E. and Liu, Y. (2016). Enzymatic pretreatment of activated sludge, food waste and their mixture for enhanced bioenergy recovery and waste volume reduction via anaerobic digestion. Applied Energy 179, 1131-1137. (IF 7.900)
8. Wei, Z., Meng, S., Xiong, B., Ji, D., and Tseng, K. J. (2016). Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer. Applied Energy, 181, 332-341. (IF 7.900)
9. Wei Z, Meng S., Tseng K J, et al. An adaptive model for vanadium redox flow battery and its application for online peak power estimation. Journal of Power Sources, 2017, 344: 195-207. (IF 6.945)
10. Meng, S., Yang, Q. and Liu, Y. (2015). Fouling propensities of alginate blocks derived from seaweeds in the membrane filtration. International congress on chemical, biological and environmental sciences (ICCBES), Osaka, Japan.
