Mariia Podguzova

Mariia Podguzova joined the team “KI-Rebschnitt” in February 2022. The main goal is to develop an AI-based application to facilitate vine grapes pruning. Currently she is working on the project AI-Pruning. Mariia received her B. Sc. degree in Applied Mathematics and Computer Science at South Ural State University (Chelyabinsk, Russia) and her M. Sc. degree in Computer Science at the University of Stuttgart. During the study, she completed an internship at Bosch GmbH in Stuttgart where she was working on the project related to uncertainty quantification and calibration for the deep-learning-based object detector in the field of autonomous driving. Mariia was also working as a student assistant at MPI for Intelligent Systems in Tübingen. She supported the Embodied Vision Group in developing a simulation environment for learning-based navigation. Her Master’s thesis was dedicated to the problem of “Image reconstruction from human brain activity by variational autoencoder and adversarial learning”.  Her research interests include machine and deep learning, computer vision, generative models, uncertainty in deep learning, 3D reconstruction.