Alexandru Todoran is the youngest member of our research group and he is currently a high school student at “Aurel Vlaicu” High School Orăștie. He is passionate about Computer Science and Mathematics. Being a member of the National Computer Science Olympiad Team for 7 years, he qualified to represent Romania in international competitions where he obtained a total of 22 medals (14 gold, 6 silver, and 2 bronze), including 2 silver medals in the International Olympiad in Informatics and gold and silver medals in the Central European Olympiad in Informatics. In 2023, Alexandru became interested in seeing his passion come to life by doing research in Machine Learning and Computer Vision, with the guidance of Prof. Univ. Dr. Marius Leordeanu with whom is currently work on a research project that aims to harness the power of Machine Learning to make predictions in the multi-layer Earth System and study climatic correlations as well as Climate Change.
Publications with the lab (1)
Alexandru-Raul Todoran, Marius Leordeanu
arXiv preprint, 2024
Abstract
There is an increasing number of real-world problems in computer vision and machine learning requiring to take into consideration multiple interpretation layers (modalities or views) of the world and learn how they relate to each other. For example, in the case of Earth Observations from satellite data, it is important to be able to predict one observation layer (e.g. vegetation index) from other layers (e.g. water vapor, snow cover, temperature etc), in order to best understand how the Earth System functions and also be able to reliably predict information for one layer when the data is missing (e.g. due to measurement failure or error).
