Danya Al-Hindawi
Flexible Funding Awardee
Danya Al-Hindawi is a PhD researcher in Energy at Teesside University, working at the intersection of energy systems and artificial intelligence within power electronics, machines, and drive systems (PEMDS). Her research focuses on condition monitoring and fault diagnosis of electric machines, particularly permanent magnet synchronous motors (PMSMs), using signal processing, deep learning, and transfer learning to support reliable and scalable energy systems.
Throughout her academic journey, from undergraduate studies to PhD research, Danya has received multiple awards, including Best Mechanical Engineering Project through the IMechE and Best Undergraduate Poster Presentation through ExpoTees. She has also worked as a Research Associate on projects funded by Innovate UK, gaining experience in applied research and industry-focused innovation. More recently, she was awarded the SYP Travel Grant for Best Video Presentation for IECON 2025.
The N-ZEEE funding supports the dissemination of her research through international conferences, enabling collaboration with leading researchers in PEMDS and strengthening the real-world impact of her work in developing reliable, cost-effective diagnostic solutions for modern energy systems.
Contact - d.al-hindawi@tees.ac.uk