Ning Qiao

Associate -- ended Sep 2021
Work phone:
+41 44 6353061
I have studied and done research in the field of ultra-low power high speed mixed-signal circuit design during my undergraduate, Master and PhD studies, and got my PhD degree in microelectronics and solid-state electronics from Institute of Semiconductors, Chinese Academy of Sciences in 2012.
I am very interested in developing ultra low-power sub-threshold neuromorphic VLSI devices and asynchronous digital communication circuits and systems. I am now focusing my research on designing low power event-driven multi-core neuromorphic processors by exploiting and combining both ultra-low power sub-threshold analog circuits and low-latency event-driven asynchronous circuits.


Giacomo Indiveri

Spin-Off Companies






  • Carsten Nielsen, Ning Qiao, Giacomo Indiveri A Compact Ultra Low-Power Pulse Delay and Circuit for Neuromorphic Processors, Biomedical Circuits and Systems (BIOCAS) 2017 689-692, 2018
  • Dmitrii Zendrikov, Sergio Solinas, Ning Qiao and Giacomo Indiveri Robust implementation of cognitive computing computational primitives in mixed-signal neuromorphic processors, Cognitive Computing, 2018 pdf
  • Kreiser, R.; Aathmani, D.; Qiao, N.; Indiveri, G. & Sandamirskaya, Y. Organising Sequential Memory in a Neuromorphic Device Using Dynamic Neural Fields, Frontiers in Neuromorphic Engineering, 2018
  • Ning Qiao, Giacomo Indiveri A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems, 24th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2018), 2018 pdf
  • Ning Qiao, Giacomo Indiveri A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems, International Symposium on Circuits and Systems (ISCAS) 2018, 2018
  • Ning Qiao, Giacomo Indiveri Analog Circuits for Mixed-Signal Neuromorphic Computing Architectures in 28 nm FD-SOI Technology, IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S) 2017, 2018





  • Rovere, G and Ning, Q and Bartolozzi, C and Indiveri, G Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures, IEEE International Symposium on Circuits and Systems 2073-2076, 2014
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