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)

Building 14.14 /
Room 3001

+49 2461/61-3858

E-Mail

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)

Building 16.3 /
Room 401

+49 2461/61-1497

E-Mail

Dr. Ehsan Zandi

Postdoc

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-1234

E-Mail

Amer Delilbasic

Doctoral Researcher

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-1234

E-Mail

Joseph Xavier Arnold

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-3858

E-Mail

Kennedy Adriko

Doctoral Researcher

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-85984

E-Mail

Stefano Maurogiovanni

Doctoral Researcher

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-96054

E-Mail

Surbhi Sharma

Member of the Division "Federated Systems and Data"

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-1502

E-Mail

Samy Hashim

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-1234

E-Mail

Sayan Mandal

Doctoral Researcher

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-1234

E-Mail

Erik Scheurer

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-85533

E-Mail

Eli Gislason

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3001

+49 2461/61-1234

E-Mail

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)