BIPS junior scientist wins prize for the best presentation at the 70th Biometric Colloquium
Remarkably, Golchian was initially reluctant to take part in the competition. "I didn't even want to take part at first. But then I spontaneously decided to take part and didn't expect to win. I was very surprised," explains Golchian. "Above all, I would like to thank my working group for enabling us to develop such an exciting method and for their support."
The winning paper presents an innovative approach to imputing missing values using machine learning. The idea is based on the Adversarial Random Forests (ARF) approach, a generative machine learning method that was developed in collaboration with several scientists at BIPS. The method developed by Golchian and her team, known as Miss-ARF, thus offers an efficient solution to the problem of missing data.
The Biometric Colloquium is one of the most important events for biometricians in the German-speaking world and provides a platform for the exchange of the latest research results in the field of biometrics. Winning this award not only underlines the importance of Golchian and her team's work in the field of machine learning, but also the advanced research being conducted in Prof. Dr. Marvin Wright's Emmy Noether Junior Research Group at BIPS.