Utkarsh Jadli


After finishing his undergraduate degree in Electrical & Electronic Engineering in India, Utkarsh continued his studies and completed a Master by Research degree in Control Systems. His passion for innovation, combined with an interest in renewable energy, led Utkarsh to take up a PhD position at the Queensland Micro Nanotechnology Centre (QMNC), where he is currently researching the next generation of Gallium Nitride (GaN) transistors for power circuits.


Industry partner
BluGlass Limited (ASX:BLG)


Research organisation
Griffith University


Academic Mentor
Dr Ian Mann

Project description

BluGlass Limited has partnered with Griffith University to develop and define a cost-effective manufacturing process of High Performance Normally OFF GaN High Electron Mobility Transistors (HEMT) – alternative transistors for faster and more efficient power electronics.

My role within the project is to benchmark commercially manufactured HEMT devices – ON and OFF and characterise their performance to better understand the application of these devices in power circuits.


Tell me a bit about the project, and what is your role in it?

With increased electricity demands and a growing interest in renewable energy technologies, enabling technologies such as power electronics are becoming more and more important. The progress of power electronic systems is driven by advancements in power semiconductor devices. As the power electronics market continues to grow, it is becoming increasingly important to select the appropriate and most efficient power semiconductor for a given application. …


How do you think your part in the project benefit manufacturing?

Manufacturing of more efficient power-conversion systems requires better design. The project provides new insights into the advantage of AlGaN/GaN HEMTs over traditional transistors (Si and SiC MOSFETs) due to reduced power dissipation by the significantly reduced parasitic capacitances. Also, manufacturers of AlGaN/GaN wafers and HEMTs can use this knowledge to optimise their devices for specific applications (an example of concurrent engineering).