Integrated Biosensing for Neurodiagnostics

Our research focuses on developing portable diagnostic platforms using sensor technologies for healthcare and environmental applications. We design electrochemical sensor incorporating novel nanomaterials to detect biomarkers in minimally invasive human samples like blood or saliva, aiming for early detection of neurological conditions such as dementia, strokes, traumatic brain injury and brain cancers. Additionally, we are advancing neuromorphic Organic Processing Units (OPU), which integrate organic electronics with brain-inspired computing to enable efficient, real-time data processing. These projects aim to translate cutting edge science into practical tools for wearable monitoring and point of care (POCT) testing, enhancing diagnostic and sustainability across diverse settings.

Research projects

Electrochemical Sensor Development for Biosensing Applications

This research project focuses on developing an electrochemical sensor for the detection of target biomarkers in biological samples, using advanced nanomaterials synthesis and fabrication techniques. The sensor design will incorporate highly conductive nanomaterials, a photolithography process and leverage fabrication methods such as screen printing, thin-film deposition, and micro/nanofabrication. The sensors will be optimised for high sensitivity and functionalised with biological recognition elements to ensure selective detection. Find out more

Electrochemical Sensor-Based Point-of-Care Diagnostic Platform for Early Detection of Dementia and other neurological diseases

This study will develop a portable electrochemical biosensor to detect dementia, stroke, brain injury, and neuroinflammation biomarkers in minimally invasive human samples such as blood or saliva. The aim is to create a highly sensitive sensor system for real-time biomarker monitoring to support early diagnosis and clinical decision-making. This will be achieved by designing nanomaterial-coated electrodes functionalised with selective biological recognition elements like antibodies or aptamers, using advanced nanotechnology techniques. The sensor will be integrated with microcontroller-based electronics for data processing and wireless communication by developing a Point Of Care Test platform. Find out more

Sensor-Based Neuromorphic Organic Processing Unit (OPU)
The study focuses on developing a sensor-based neuromorphic Organic Processing Unit (OPU) that combines neuromorphic computing, organic materials and sensor technology to enable advanced data processing. The goal is to emulate biological neural networks using spiking neural networks (SNNs) for event-driven processing. This will be achieved through a sensor array that captures inputs such as biological signals from human-derived induced pluripotent stem cells (iPSCs). Find out more

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Get in touch: Research and Study Opportunities

To learn more about our research or opportunities to study with us, please contact Dr Mosarof Hossain at mosarof.hossain1@monash.edu