DoctorJamie Gawith

My research is mainly related to magnetics engineering, including:

• Wireless Power Transfer: primarily near-field magnetic inductive power transfer, which is the technology behind wireless charging for smartphones and wearables. I have developed wireless chargers for consumer products, e-bikes and scooters, drones, implantable medical devices and electric vehicles. My research focuses on extending state-of-the-art efficiency and power density, mainly by operating the magnetic link at high frequency in the low-MHz range. 
• Applied Superconductivity: mainly flux pumps, which are wireless power supplies for superconducting magnets that thermally isolate the cold magnet from the room-temperature power supply, reducing the cryogenic burden and resulting in a smaller and lower-cost system. I am also interested in High Temperature Superconductor (HTS) magnet design, particularly non-insulated magnets, and in superconducting machines and cryogenics for hydrogen-electric aviation.
• Nuclear Fusion: mainly superconducting magnets and power systems, but also reactor integration for Tokamaks including plasma-magnet interaction, disruptions, neutronics and reactor economics. 

I also have a growing interest in machine learning for engineering, particularly reinforcement learning for robotics (using Nvidia Isaac Lab) and Physics-Informed Neural Networks (PINNs) for engineering modelling.