Since 2012, Ubertone has been committed to promoting innovative research by students and PhD candidates through the Ubertone Student Award delivered at each ISUD edition.

This 2026 ISUD edition was no exception, showcasing an incredible lineup of emerging scientific talent. We would like to extend our warmest thanks to all the students who participated—your hard work, effort, and dedication truly impressed us.

The ISUD Scientific Committee faced the challenging task of evaluating nine exceptional candidates. Each presentation was rigorously judged on content, degree of innovation, quality of presentation and quality of question answering.

We are absolutely thrilled to announce this year's winner of the Ubertone Student Award:

Mr. Yuya KOJIMA - Kobe University

For his outstanding paper

Machine Learning-Based Ultrasonic Tomography for Void Distribution Reconstruction with Noise-Reduction Preprocessing

Huge congratulations to Mr. Yuya Kojima for this well-deserved recognition, and a big round of applause to all participants for shaping the future of ultrasonic technologies!