Ning Ning, PhD


Research Scientist
Data Storage Institute


Ph.D. Faculty of Engineering, National University of Singapore (2010)
B.Eng. Electronics & Information Engineering, Huazhong University of Science and Technology, China (2003)


Ning Ning, Ph.D.

Dr. Ning Ning was trained in the field of electrical and computer engineering, and received his Bachelor degree from Huazhong University of Science and Technology, China in 2003 and his Ph.D. from National University of Singapore in 2010. He has always had interests in multiple disciplines such as computer science, neuroscience, and physics. He has worked in and coordinated various multidisciplinary research projects, ranging from RF/analog circuit design, magnetic materials and devices, to neuron and synapse modelling and cognitive architectures.

From 2008 to 2010, he was a Research Fellow in Neuroengineering Lab, Department of Mechanical Engineering, National University of Singapore. He is currently a Scientist at the Data Storage Institute, A*STAR, Singapore, in charge of neuromorphic system development in the program of Artificial Cognitive Memory. His current research interests include neuron and synapse modelling, spiking networks, neural computation, and neuromorphic systems and devices.

Click to expand the schematic illustration of Ning Ning's research.

Selected Publications

  • K. Ramanathan, N. Ning, D. Dhanasekar, G. Li, L.P. Shi, and P. Vadakkepat, "Presynaptic learning and memory with a persistent firing neuron and a habituating synapse: A model of short term persistent habituation," International Journal of Neural Systems, accepted, 2012 (Impact factor: 4.237)
  • N. Ning, K. J. Huang, and L. P. Shi, "Artificial Neuron with Somatic and Axonal Computation Units: Mathematical and Neuromorphic Models of Persistent Firing Neurons," IJCNN2012, accepted, 2012
  • K. Ramanathan, A. Schirmer, N. Ning, L. P. Shi, W. He, "A cognitive architecture for memory based future storage devices," IJCNN2012, accepted, 2012
  • L. P. Shi, K. Ramanathan, N. Ning, L. Pan, W. He, G. Li, H. Li, Z. Yang, "The Challenges and Solutions for the Development of Artificial Cognitive Memory," European Phase-Change and Ovonic Science Symposium, accepted, 2012
  • N. Ning, K. J. Yi, K. J. Huang, and L. P. Shi, "Axonal slow integration induced persistent firing neuron model," Lecture Notes in Computer Science, vol. 7062, pp. 469-476, 2011.
  • L. P. Shi, K. J. Yi, K. Ramanathan, R. Zhao, N. Ning, D. Ding and T. C. Chong, (invited paper) "Artificial cognitive memory - changing from density driven to functionality driven," Applied Physics A: Materials Science & Processing, vol. 102, no. 4, pp. 865--875, 2011
  • L. P. Shi, K. J. Yi, K. Ramanathan, N. Ning, R. Zhao, H. Z. Li, and Z. Yang, (invited talk) "Bio Inspired Artificial Cognitive Memory," NVMTS2011, Shanghai, 2011