Projects

High-performance MEMS/NEMS sensors

Source: C. Zhao et al. "Toward High-Resolution Inertial Sensors Employing Parametric Modulation in Coupled Micromechanical Resonators", Physical Review Applied, 2019

Supported by the Royal Society, the ISPF funds with Japan (the Royal Society), and EPSRC IAA, we are currently developing high-performance MEMS resonator-based sensors (e.g. acoustic sensors and magnetic field sensors) for environement monitoring and healthcare applications.

In particular, we are interested in utilising unconventional dynamics within MEMS resonators to enhance the sensitivity and improve the noise floor of these sensors.

MEMS-/NEMS-based Neuromorphic computing/sensing devices

We are currently expanding into developing MEMS-/NEMS-based neuromorphic computing/sensing devices for efficient edge computation and AI. We aim to integrate the computing devices with high-performance sensors to achieve what is termed as "in-sensor" computing.

We have recently developed a new technology based on MEMS resonators to mimic the hallmark characteristics of memristors, i.e. pinched hysteresis. We are actively exploring this novel area to understand this further, and apply this in true in-sensor computation (sense-memory-compute).

I am looking for self-funded PhD student to work in this exciting new area! Please check out this advertisement for PhD positions in this area.

Efficient miniaturised energy harvesters

Source: S. Du et al., "A nail-size piezoelectric energy harvesting system integrating a MEMS transducer and a CMOS SSHI circuit", IEEE Sensors Journal, 2019

When an energy harvester is shrunk in size, the efficiency is also comprimised.

We have been developing miniaturised yet efficient energy harvesters to power our high-performance MEMS sensors.

In particular, we are interested in utilising unconventional dynamics (e.g. nonlinearity and modal coupling) within MEMS devices to enhance the efficiency and also bandwidth.

MEMS-/NEMS-devices for robotics

We are currently expanding into developing MEMS-/NEMS sensors and devices for robotic applications. This can be sensor fusion or sensor hardware development (e.g. based on soft materials).

I am looking for self-funded PhD student to work in this exciting new area! Please check out this advertisement for PhD positions in this area.

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