About Me

My research looks at low-power, low-maintenance sensing and communication systems aimed at a range of applications, such as environmental monitoring, wearable/portable health tech, and smart buildings, where frequent battery replacement is a pain and wireless links are often unreliable or power expensive.

A major direction of my work is sustainable communication using the visible light spectrum. As RF bands become increasingly crowded and contested (e.g., Wi-Fi and cellular), we explore light as a complementary channel that doesn’t compete with RF spectrum and can often reuse existing lighting infrastructure. We work across both Active VLC (turning indoor LEDs into data transmitters) and Passive VLC (directly using sunlight to transmit information wirelessly) to create power-efficient data links.

In addition to using light for communication, I am also interested in how we can push the boundaries of hardware-constrained systems. This involves designing efficient algorithms that allow small, portable devices, such as drones or IoT sensors, to make smart decisions at the edge without relying on heavy infrastructure.

A big part of our work is hands-on systems research: you’ll build and test prototypes (hardware + embedded software + algorithms) and evaluate them in realistic experimental conditions. Recent directions include batteryless sensing with drones, tracking/localization using solar cells, alongside broader projects in pervasive sensing, algorithms on constrained hardware (IoT/wearables), and portable biomedical sensing (photoacoustic sensing and imaging).

I am looking for Honours, Master’s or PhD students interested in:

• Visible light communication and sensing
• Sustainable sensing and wireless communication (e.g., batteryless / energy-harvesting systems)
• Health and mental wellbeing sensing (wearables, portable sensing)
• Photoacoustic sensing and imaging (embedded/portable systems)
• Low-power autonomous drones and ground–air sensing/communication (RF and/or light links; on-device/edge processing)
• Intelligent reflecting surfaces (for RF and optical/visible-light systems)