- 孟凡勇
- 无
- 副研究员
- 北京市海淀区中关村北二条1号
山东烟台人，副研究员，中国颗粒学会会员，中国体视学学会会员，中国科学院青年创新促进会会员，RSNA通讯会士。
2009年于中国科学院过程工程研究所获工学博士学位，主要从事颗粒流体系统、无损检测技术、CT图像重建等领域的研究。主持完成国家重大科研装备研制项目支撑课题1项，正主持国家自然科学基金2项、中国科学院战略先导科技专项1项、国家重点实验室开放基金1项。在国内外期刊、会议上发表论文20余篇，以第一申请人申请发明专利11项（已授权6项），其中PCT国际发明专利3项，合作出版著作1部，取得软件著作权2项。
1.Dr. Fanyong Meng, born in Yantai city, PR China, is an associate professor at Institute of Process Engineering (IPE), Chinese Academy of Sciences(CAS). His research interestsfocus on multiphase flow study and measurement techniques. Dr. Meng has developed a series of non-destructive testing techniques to explore the complex mechanism of multiphase flow, including x-ray CT, solids flux scanner and portable CT etc and participated in the developing a GPU based HPC system with the peak performance of 1.2 petaFLOPS. He has secured and solely managed a number of research projects, such asthe National Nature Science Foundation of China (21106158, 21376245 and 91334204), Strategic Priority Research Program of Chinese Academy of Sciences (XDA07080104) and Youth Innovation Promotion Association CAS Program(2014039). To date, Dr. Meng has published over 30 papers and filed 16 patents for invention, among which 14 were authorized.
2.EDUCATION BACKGROUND 2004 – 2009: Ph.D. Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China2001 – 2004: M.S. China University of Mining and Technology, Xuzhou, Jiangsu Province, China 1997 – 2001: B.S. China University of Mining and Technology, Xuzhou, Jiangsu Province, China
3.PROFESSIONAL EXPERIENCES
4.2012-present Associate Professor, State Key Lab. of Multiphase Complex System, IPE, CAS Proposed a scale resolution method for gas solid two phase flow. Developed a Portable X-ray CT scanner for out door measurement. Developed the solids flux online measurement system based on double x-ray scanning.2009-2012 Assistant Professor, State Key Lab. Of Multiphase Complex System, IPE, CAS Developed reconstruction algorithm based on GPU Clusters to achieve a speedup of over 200X. Developed a GPU based HPC system with a peak performance of 1.2 petaFLOPS(key member). Developed a beam hardening reduction method based on simulation.
