From neural-interface engineering to artificial intelligence across the healthcare continuum.
A second research pillar extends my original contribution to neural-interface engineering — The Neurochip (Biophysical Journal, 2014) — into a structured six-part series spanning device biocompatibility, control theory, signal processing and applied healthcare AI. This pillar is formally underpinned by my ongoing Master's leading to PhD in Bioinformatics at Deakin University.
Extending the author's original Neurochip contribution (Biophysical Journal, 2014) across biocompatibility, control theory, signal processing and applied healthcare AI.
Traces neurochip evolution from early multielectrode arrays to modern neuroprosthetic needs, identifying five key limitations — biocompatibility, closed-loop adaptivity, resolution, embedded intelligence and sensorimotor integration — and introduces a redesigned infrastructure framework developed across the companion series.
Develops mathematical models of the three processes limiting implant longevity — impedance evolution, glial scar formation and micromotion-induced tissue strain — enabling prediction of device lifespan from material and geometric design choices.
Builds a control-theoretic framework for adaptive deep-brain stimulation, combining a Hodgkin–Huxley-based state-space model, Lyapunov stability analysis and Pontryagin's Minimum Principle to derive optimal stimulation strategies.
Formalises a framework pairing compressed sensing for spike-train reconstruction with spiking neural networks for on-chip decoding, addressing the bandwidth and power limits of implanted devices, with recovery guarantees and energy-efficiency gains.
Proposes a closed-loop sensorimotor architecture that restores tactile feedback alongside motor decoding, using a biomimetic sensory-encoding model and information-theoretic and control-theoretic analysis.
Synthesises over 400 studies across twelve healthcare domains, finding AI can cut diagnostic errors by 30–50% and accelerate drug discovery by 40–60%. Proposes a five-pillar framework — Precision, Prevention, Process, People, Policy — with twenty strategic recommendations for responsible adoption.
Once you choose hope, anything's possible.
“Alone we can do so little; together we can do so much.”
— Helen Keller
Meaningful collaboration begins with a shared problem, a clear contribution from each partner and an honest method for measuring results.