International Centre for Neuromorphic Systems
Runchun Mark Wang is a research lecturer at ICNS working on is Hardware Acceleration for Neural Systems. As part of this project, Dr Wang will help build an electronic system, which includes both FPGA implementation and mixed/signal analogue VLSI, which is capable of simulating neural networks of a size similar to that of the human brain. Mark will provide open source software, so that other researchers can also use the system.
Mark is also the hardware design lead for the design of a Neuromorphic Imager for Space Situational Awareness.
His PhD topic was "Neuromorphic Implementations of Polychronous Spiking Neural Networks". The work includes the design of a polychronous spiking neural network using a novel delay-adaptation algorithm, an FPGA implementation of the proposed neural network, an analogue implementation of the proposed neural network, and their integration into a mixed-signal platform.
Before Mark started his PhD study, he worked as a SoC/ASIC design engineer in industry.
- Neuromorphic Engineering
- Mixed-signal/analog VLSI design
- ASIC/SoC/FPGA design
- Computational neuroscience
- Signal processing
- Deep network
- Machine learning
- Cognition systems
Qualifications and Honours
- Australian Research Council Postdoctoral Research Fellowship 2014–2017
- PhD, Western Sydney University, 2013
- Australian Postgraduate Research Award 2009–2013
- MSEE, Shanghai Jiaotong University, 2008
- BSEE, East China University of Science and Technology, 2003
For a full listing of my publications, please see my Google Scholar page.