职称：高级工程师
研究方向：视觉检测技术、生物分离与分析理论和应用、电泳分离与富集及其在生物样本及食品安全分析中的应用等方面的研究
办公室：电院 2-325
办公电话：021-34204625
电子邮箱：weiwenliu@sjtu.edu.cn
招生情况：硕士生导师
个人介绍

博士，上海交通大学高级工程师，硕士生导师，IEEE Transactions on Instrumentation & Measurement副编辑。2003年3月毕业于上海交通大学，获工学硕士学位，2010年4月毕业于上海交通大学，获工学博士学位。毕业后主要从事视觉检测技术方面的研究工作，主持完成了上海航天研究院“电液伺服阀精密弹性元件刚度测量仪”,“力矩马达测试台”,“弯曲刚度测量仪”，“电液伺服阀刚度配对测试台”等多项基于视觉的检测设备研制项目和与企业合作的“三维视觉测量仪” 产学研项目。2016年加入曹成喜教授团队，主要从事生物分离与分析理论和应用、电泳分离与富集及其在生物样本及食品安全分析中的应用等方面的研究。近年来在电泳滴定和移动反应界面方面作了大量的研究，已初步实现了此类技术的芯片化和可视化。参与NSFC课题2项（No.6181101049和No.61375112）和国家重大科学仪器设备研制项目1项（No.31727801）。近5年总计发表论文10篇，其中高影响因子论文6篇。近几年获得或申请国家发明专利7项，软件著作权1项。

教育背景

1996.09 ~ 2000.07：南昌航空大学，电子工程系，学士
2000.09 ~ 2003.03：上海交通大学，仪器科学与工程系，硕士
2005.02 ~ 2010.04：上海交通大学，仪器科学与工程系，博士

工作经历

 2003.03-2006.07 上海交通大学，仪器科学与工程系，研究实习员

 2006.08-2014.12 上海交通大学，仪器科学与工程系，助理研究员

 2015.01-至今   上海交通大学，仪器科学与工程系，高级工程师

学术兼职

IEEE Transactions on Instrumentation & Measurement 副编辑

IEEE Transactions on Image Process审稿人

IEEE Sensors Journal审稿人

代表论文

1. Zhang Qiang, Liu Weiwen, Khan Muhammad Idrees, Wang Cunhuai, Li  Guo-Qing, Xiao Hua, Wang Yuxing, Cao Chengxi*, Facile counting of ligands capped on nanoparticles via titration chip of moving reaction boundary, (Co-First Author) , submitted.
2. Muhammad Idrees khan, Qiang Zhang, Yuxin Wang, Shah Saud, Weiwen Liu, Shaorong Liu, Hao Kong, Cunhuai Wang, Hua Xiao, Liu-Yin Fan and  Chengxi Cao, Portable electrophoresis titration chip model for sensing of uric acid in urine and blood by moving reaction boundary, Sensors & Actuators: B. Chemical, 2019, 286, 9-15, DOI: https://doi.org/10.1016/j.snb.2019.01.098.                                   IF=5.6
3. F. Z. Kong, S. Jahan, R. Zhong, X. Y. Cao, W. L. Li, Y. X. Wang, H. Xiao*, W. W. Liu*, C. X. Cao*, Electrophoresis titration model of a moving redox boundary chip for a point-of-care test of an enzyme-linked immunosorbent assay, ACS Sensors, 2019.1, 4(1), 126-133, DOI: 10.1021/acssensors.8b01017.                                             IF=5.7
4. Cunhuai Wang, Qiang Zhang, Xiaoping Liu, Guoqing Li, Hao Kong, Muhammad Idrees Khan, Hua Xiao, Yuxing Wang*, Weiwen Liu* and Chengxi Cao*, Double inner standard plot model of electrophoresis titration chip for portable and green protein content assay of milk, Lab on a Chip, 2019.1, 19(3), 484-492, DOI: 10.1039/C8LC01015C.               IF=6.1
5. X. Y. Cao, F. Z. Kong, Q. Zhang, W. W. Liu, X. P. Liu, G. Q. Li, R. Zhong, L. Y. Fan*, H Xiao*, C. X. Cao*, iPhone-imaged and cell-powered electrophoresis titration chip for the alkaline phosphatase assay in serum by the moving reaction boundary, Lab on a Chip, 2018, 18, 1758-1766 . DOI: 10.1039/C8LC00163D.                                                           IF=6.1
6. Li Wen-Lin, Kong Fan-Zhi, Zhang Qiang, Liu Wei-Wen, Kong Hao, Liu Xiao-Ping, Khan Muhammad-Idrees, Wahid Amir, Saud Shah, Xiao Hua, Cao Cheng-Xi, Fan Liu-Yin, Simple Chip Electrophoresis Titration of Neutralization Boundary with EDTA Photocatalysis for Distance-Based Sensing of Melamine in Dairy Products, Anal. Chem., 2018, 90, 6710-6717. DOI: 10.1021/acs.analchem.8b00543.                                      IF=6.3
7. Yang Zhan, Liu Weiwen*, Li Hongbing, Li Zheng, A Coaxial Vision Assembly Algorithm for Un-centripetal Holes on Large-scale Stereo Workpiece Using Multiple-DOF Robot, IEEE international conference on imaging systems & techniques, 2018.10.16~18, DOI: 10.1109/IST.2018.8577136.
8. Li Hongbing, Liu Weiwen, Wang Kundong, Kawashima Kenji, Magid Evgeni, A cable-pulley transmission mechanism for surgical robot with backdrivable capability, Robotics and Computer-Integrated Manufacturing, 2018.2, 49: 328~334. DOI: 10.1016/j.rcim.2017.08.011.                                                                 
9. Li Hongbing, Liu Weiwen, Kawashima Kenji, Development of a Human-arm Like Laparoscopic Instrument, IEEE International Conference on Robotics and Biomimetics, 2016. 12.3-7, 68~70. DOI: 10.1109/ROBIO.2016.7866299.
10. Liu Weiwen, Jiang kai, Zhao Hui, Wang Chenglong, Localization and recognition of different vertebra tissues based on eddy current detection method, Advanced Materials Research, 2013 v 740: 128-133 (EI 20134016819134).