Bio - Nico Lang

Short Bio

Nico is a Postdoc at the University of Copenhagen associated with the Pioneer Centre for AI, where he is co-advised by Serge Belongie and Christian Igel. He has received a PhD from ETH Zurich, under the supervision of Konrad Schindler and Jan Dirk Wegner. His research interests are at the intersection of computer vision, machine learning, and remote sensing, currently focusing on open-world recognition, fine-grained categorization, and representation learning with multi-modal data. More information can be found on his website: https://langnico.github.io/

Longer Bio

Nico is Postdoc at the University of Copenhagen associated with the Pioneer Centre for AI, where he is co-advised by Serge Belongie and Christian Igel. His research interests are at the intersection of computer vision, machine learning, and remote sensing, currently focusing on open-world recognition, fine-grained categorization, and representation learning with multi-modal data. Nico received a PhD from ETH Zurich, working in the EcoVision Lab and the Photogrammetry and Remote Sensing (PRS) group under the supervision of Prof. Konrad Schindler and Prof. Jan Dirk Wegner. During his master’s degree in Geomatics at ETHZ he discovered his fascination for machine learning and computer vision in the context of geodata sciences. After an early academic visit to Prof. Pietro Perona’s Computational Vision lab at Caltech, he worked on monitoring urban trees from street-level images. In his PhD, he developed a scalable approach to compute a high-resolution canopy height model of the Earth by fusing optical satellite images with spaceborne LIDAR. He sees great potential in the application of machine learning to monitor the environment at global scales. More information can be found on his website: https://langnico.github.io/

- updated: 2024-11-25