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Shi, Luping

Date：2019-09-30
      Professor，Center for Brain-Inspired Computing Research, Tsinghua University
      Professor，Department of Precision Instrument, Tsinghua University
      PI，IDG/McGovern Institute for Brain Research at Tsinghua University
 
      E-Mail: lpshi@tsinghua.edu.cn
                             

[Research Interests]   

Research areas include Brain-Inspired computing, intelligent instruments, semiconductor nonvolatile memory, optical storage, integrated optoelectronics, spintronics, nanoscience and technology, etc. In March 2013, he joined Tsinghua University full-time and set up the Center for Brain-Inspired computing research at Tsinghua University which is a comprehensive research team of Brain-Inspired computing from basic theory, system chip and software system.

[Education & Experience]                             

2014:           Director, Center for Brain-Inspired computing research at Tsinghua University
2013:           Director, National Engineering Research Center, Tsinghua University
2009–2011: Visiting Professor of Huazhong University of science and technology
1996–2013: New research data storage Institute
1992:           Ph.D., Institute of crystallography, University of Cologne, Germany
1988:            M.S., Shandong University
1981:            B.S. , Shandong University
1994–1996:  Postdoctoral Fellow, optoelectronics centre, City University of Hong Kong
1993:            Postdoctoral Fellow, Frauhofer Institute of Applied Optics and precision instruments, Germany
1988–1989:   Lecturer, State Key Laboratory of crystal materials, Shandong University
1981–1985:   Assistant Engineer, experimental center, Shandong University

[Selected Publicaitions]                             

  • Lei Deng, Guoqi Li, Ning Deng, Dong Wang, Ziyang Zhang,Wei He, Huanglong Li, Jing Pei, Luping Shi*, “Complex Learning in Bio-plausible Memristive Networks” , Scientific Reports, 2015,5.
  • Ning Ning, Guoqi Li, Wei He, Kejie Huang, Li Pan, Kiruthika Ramanathan,  Rong Zhao, Luping Shi*, “Modeling Neuromorphic Persistent Firing Networks”, International Journal of Intelligence Science, 2015, 5, 89-101.
  • W. He, K. Huang, N. Ning, Ramanathan, G. Li, R. Zhao and L. P. Shi*, “Enabling an Integrated Rate “Enabling an Integrated Rate -temporal Learning Scheme on Memristor”, Scientific Reports, vol.4,pp.4755 ，2014.
  • Chun Chia Tan, Luping Shi, Rong Zhao, Qiang Guo, Yi Li, Yi Yang, Tow Chong Chong, Jonathan A. Malen, Wee-Liat Ong, Tuviah E. Schlesinger, and James A. Bain, “Compositionally matched nitrogen-doped Ge2Sb2Te5/Ge2Sb2Te5 superlattice-like structures for phase change random access memory ”, Appl Phys Lett, Volume:103 ,  Issue: 13 , 133507 (2014).
  • Chun Chia Tan,   Rong Zhao,  Luping Shi,    Chong, Tow Chong “Implementation of nitrogen-doped titanium-tungsten tunable heater in phase change random access memory and its effects on device performance” Applied Physics Letters, Volume: 105 , Issue: 15 ,  153501 (2014).