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) leads to increase the visibility on interdisciplinary research between applications from RS and advanced computing technologies and parallel programming. This includes high-performance and distributed computing, quantum computing and specialized hardware computing. The SDL works together with the "Simulation and Data Lab RS" of the Icelandic HPC community (University of Iceland) and the High-performance and Disruptive Computing in Remote Sensing (HDCRS) working group of the Geoscience and Remote Sensing Society (GRSS). Furthermore it collaborates with other international universities in joint activities that include research projects, teaching courses, community support and supervision of students at different academic levels.

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

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

Amer Delilbasic

Doctoral Researcher

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

Building 14.14 /
Room 3001

+49 2461/61-1234

E-Mail

Edoardo Pasetto

PhD Candidate

• 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

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

Building 14.14 /
Room 3001

+49 2461/61-85984

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)