Leonard Hackel
Leonard Hackel
Doctoral Researcher
Affiliation: BIFOLD
- Rolf Niedermeier Preis for an outstanding final thesis
- Certificat of Honor as one of the best graduates in the master’s program Computer Engineering at TU Berlin
- Remote sensing
- Big data Analytics
- Multimodal Data Processing
- Deep Learning
- High Performance Computing
Leonard Hackel, Tom Burgert, Begüm Demir
How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
Tom Burgert, Leonard Hackel, Paolo Rota, Begüm Demir
Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery
Leonard Hackel, Tom Burgert, Begüm Demir
CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Mathis Jürgen Adler, Leonard Hackel, Gencer Sumbul, Begüm Demir
Redundancy-Aware Pretraining of Vision-Language Foundation Models in Remote Sensing
Chiara Fusar Bassini, Leonard Hackel, Thorren Kirschbaum
IDLEWiSE
DA4DTE: Pioneering Satellite Data Archives with a Revolutionary Digital Assistant
Demonstrator Precursor Digital Assistant Interface for Digital Twin Earth (DA4DTE) is a project by the European Space Agency (ESA) that aims to simplify the usage of satellite data archives. A BIFOLD research group led by Prof. Dr. Begüm Demir has been pivotal in developing three of the four search engines featured in the digital assistant.