SDL AI and ML for Remote Sensing

Mission
The Simulation and Data Lab (SDL) Artificial Intelligence (AI) and Machine Learning (ML) for Remote Sensing (RS) conducts interdisciplinary research at the intersection of remote sensing applications and large-scale AI, integrating distributed and emerging computing technologies, including supercomputing and quantum computing. The SDL collaborates closely with the Simulation and Data Lab RS of the Icelandic HPC community (University of Iceland) and IEEE GRSS, particularly its Technical Committees on Earth Science Informatics (ESI) and Quantum Earth Science and Technology (QUEST). Additionally, it partners with international universities and research institutions on joint initiatives, including research projects, teaching programs, community support, and student supervision at various academic levels.
Within the Program-oriented Funding (PoF IV) of Helmholtz Information, this group contributes to Program 1 “Engineering Digital Futures”, Topic 1 “Enabling Computational- & Data-Intensive Science and Engineering” and is part of the European Joint Virtual Lab on Artificial Intelligence, Data Analytics and Scalable Simulation (AIDAS).
Team
Prof. Dr. -Ing. Gabriele Cavallaro
Head of Simulation and Data Lab (SDL) Artificial Intelligence and Machine Learning for Remote Sensing
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Dr. Rocco Sedona
Deputy Head of Simulation and Data Lab (SDL) Artificial Intelligence and Machine Learning for Remote Sensing
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 401
Dr. Ehsan Zandi
Postdoc
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Amer Delilbasic
Doctoral Researcher
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Kennedy Adriko
Doctoral Researcher
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Stefano Maurogiovanni
Doctoral Researcher
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Surbhi Sharma
Member of the Division "Federated Systems and Data"
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Sayan Mandal
Doctoral Researcher
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 3001
Projects
The SDL is involved in different projects where it conducts co-design work and activities with applications from remote sensing:
- Adaptive Multi-Tier Intelligent Data Manager for Exascale (ADMIRE)
- Centre of Excellence for Research on AI- and Simulation-Based Engineering at Exascale (CoE RAISE)
- European Pilot for Exascale (EUPEX)
- Quantum Computing for Earth Observation Study (QC4EO)
- Earth Observation & Weather Data Federation with AI Embeddings (Embed2Scale)
- Fostering Advancements in Foundation Models via Unsupervised and Self-supervised Learning for Downstream Tasks in Earth Observation (FAST-EO)