Researchers
(25%)
(75%)
Professor Gregory Cohen | Director of ICNS
Neuromorphic Engineering
Gregory Cohen is Director of the International Centre for Neuromorphic Systems. His research has transformed visual sensing and established the field of neuromorphic space imaging. A pioneer in using neuromorphic sensors for space applications, his work supports object tracking, Earth observation, and Space Situational Awareness, driving major international research efforts in the field.
Professor Paul Breen
Biomedical Engineering
Paul Breen is a neuroscientist with expertise in sensory processing and brain stimulation, with a focus on perception, balance and ageing. His research explores how the brain adapts to sensory input and stimulation to improve wellbeing. With a strong focus on translation and commercialisation, he has helped establish two Australian start-ups: Medical Monitoring Solutions and PAYO Scientific, which develops the Braincubator tissue incubation system, and been instrumental in the development of the MemoryAid prototype in partnership with A/Prof Celia Harris.
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Professor Paul Hurley
Data Science
Paul Hurley is a Professor of Data Science at the International Centre for Neuromorphic Systems (ICNS). His research interests are mathematical signal processing, data science, algorithms, information theory medical imaging and radio astronomy interferometry.
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Associate Professor Yossi Buskila
Neurophysiology
Yossi Buskila is a neurophysiologist from the School of Medicine, who investigates how brain cells communicate, with a focus on neuronal and astrocyte interactions in neurodegenerative diseases. His research examines the cellular mechanisms underlying conditions such as Alzheimer’s disease and motor neuron disease, using advanced electrophysiology and imaging techniques to better understand disease progression and identify potential therapeutic pathways.
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Associate Professor Chetan Singh Thakur
Chetan Singh Thakur has been trained by world leaders in the field of neuromorphic engineering, and his research expertise lies in neuromorphic computing, mixed-signal VLSI systems, computational neuroscience, probabilistic signal processing, and machine learning. His research interest is to understand the signal processing aspects of the brain and apply those to build novel intelligent systems.
Associate Professor Nicholas Tothill
Astrophysics
Nick Tothill is an astrophysicist in the School of Science whose research focuses on the study of galaxies, star formation and cosmic phenomena using observational and computational approaches. His work includes applications of event‑based camera technologies to astronomical and space science problems, spanning radio, optical and millimetre-wave astronomy and contributing to advances in space imaging and understanding the universe.
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Dr Saeed Afshar
Cognitive Neuroscience
Saeed Afshar is a researcher in neuromorphic systems whose work focuses on brain‑inspired sensing and computing technologies. He studies event‑based vision, neural hardware and intelligent signal processing to develop efficient systems for real‑time perception. His research supports applications in robotics, artificial intelligence and low‑power sensory devices.
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Dr Yeshwanth Ravi Theja Bethi
Neuromorphic Engineering
Yeshwanth Ravi Theja Bethi is a postdoctoral researcher in neuromorphic engineering developing novel computational architectures inspired by biological computation and signal processing. His current research focuses on low-power edge AI accelerators and machine learning architectures for reinforcement learning and vision. This work enables advanced autonomy and intelligence on extremely power-constrained platforms, including micro-UAVs and robotics.
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Dr Sergio Chevtchenko
Neuromorphic Engineering
Sergio Chevtchenko is a Postdoctoral Research Fellow at the International Centre for Neuromorphic Systems (ICNS). His research focuses on sound event localization and detection (SELD), low-resource speech recognition, and applied machine learning.
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Dr Nimrod Kruger
Computational Neuromorphic Imaging
Nimrod Kruger works at the interface of neuromorphic engineering and photonics, developing the field of Computational Neuromorphic Imaging (CNI). With CNI, we peruse co-design of optics, sensors, and processing for low-latency scene inference - with event-based computation as its native language. The work spans new mathematics, physics, and hands-on experiments in ICNS's expanding optics lab.
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Dr Nicholas Owen Ralph
Neuromorphic Engineering
Nic Ralph is a Postdoctoral Research Fellow at ICNS, developing neuromorphic event-based vision sensors and gimballed optical instruments for space imaging, space situational awareness and Earth observation from small spacecraft. His work spans algorithm design, mechatronics, field deployment and computational modelling, supported through externally funded projects across the defence, space and aerospace sectors.
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Dr Runchun Mark Wang
Neuromorphic Engineering
Runchun “Mark” Wang is a Research Lecturer specialising in neuromorphic engineering and hardware acceleration for neural systems. His work focuses on FPGA, ASIC and mixed-signal VLSI design for brain-inspired computing platforms. Mark also leads hardware development for a Neuromorphic Imager for Space Situational Awareness and contributes open-source tools to the research community.
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Dr Ying Xu
Auditory Neuromorphic Engineering
Ying Xu received her M.Sc. degree in Microelectronics from Waseda University, Japan, in 2008, and her Ph.D. in 2019. Her doctoral research focused on neuromorphic auditory systems and their applications. Prior to her Ph.D. study, she worked in industry as an ASIC design engineer.
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