Ning Qiao

Position:	Associate -- ended Sep 2021
Email:	qiaoning@ini.uzh.ch
Work phone:	+41 44 6353061
Location:	55g74-d6

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.

Supervisor

Giacomo Indiveri

Sub-Projects

Neuromorphic multi-neuron VLSI devices

Spin-Off Companies

SynSense (aiCTX)

Publications

2024

Ole Richter, Chenxi Wu, Adrian M Whatley, German Köstinger, Carsten Nielsen, Ning Qiao, Giacomo Indiveri DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor, Neuromorphic Computing and Engineering, 4:(1) 014003, 2024 ad1cd7.pdf

2020

Arianna Rubino; Can Livanelioglu; Ning Qiao; Melika Payvand; Giacomo Indiveri Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence, IEEE Transactions on Circuits and Systems I: Regular Papers, Volume: 68:(Issue: 1) 45 - 56, 2020

2019

Liang, Dongchen and Kreiser, Raphaela and Nielsen, Carsten and Qiao, Ning and Sandamirskaya, Yulia and Indiveri, Giacomo Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents, 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019

2018

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 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
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

2017

Ning Qiao, Chiara Bartolozzi, Giacomo Indiver An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks, IEEE Transactions on Biomedical Circuits and Systems, 11:(6) 1271-1277, 2017
Ning Qiao, Giacomo Indiveri Scaling Mixed-Signal Neuromorphic Processors to 28 nm FD-SOI Technologies, Biomedical Circuits and Systems (BIOCAS) 2016, 2017
Ning Qiao, Giacomo Indiveri An Auto-Scaling Wide Dynamic Range Current to Frequency Converter for Real-Time Monitoring of Signals in Neuromorphic Systems, Biomedical Circuits and Systems (BIOCAS) 2016, 2017
Ning Qiao, Giacomo Indiveri, Chiara Bartolozzi Automatic Gain Control of Ultra-Low Leakage Synaptic Scaling Homeostatic Plasticity Circuits , Biomedical Circuits and Systems (BIOCAS) 2016, 2017
Saber Moradi, Ning Qiao, Fabio Stefanini, Giacomo Indiveri A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs), IEEE Transactions on Biomedical Circuits and Systems, PP:(99) 1-17, 2017

2016

Sumislawska D, Qiao N, Pfeiffer M, and Indiveri G Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits, International Symposium on Circuits and Systems (ISCAS) 2491-2494, 2016

2015

Indiveri, G. and Corradi, F. and Qiao, N. Neuromorphic Architectures for Spiking Deep Neural Networks, IEEE International Electron Devices Meeting (IEDM), 2015
Qiao, N. and Mostafa, H. and Corradi, F. and Osswald, M. and Stefanini, F. and Sumislawska, D. and Indiveri, G. A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses, Frontiers in neuroscience, 9:, 2015

2014

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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