Organized by the new CSG Data Engineering & AI
Register for the NHR4CES Community Workshop 2026
From Raw Data to Real Insights: Synergizing Data Engineering and AI for HPC
Date: May 11-12, 2026 - 01.00 pm - 05.00 pm
Online Workshop
Hosted by CSG Data Engineering & AI
With the continuous expansion of High-Performance Computing (HPC) capabilities, researchers are facing an unprecedented abundance of research data. To effectively harness this potential, isolated approaches are no longer sufficient; instead, a synergy of robust data management and advanced analytics is required. This workshop, organized by the CSG Data Engineering & AI, addresses the complete data lifecycle on HPC systems. We will explore how to bridge the gap between raw infrastructure and scientific
discovery by integrating Research Data Management (RDM), Automated Data Engineering, and Artificial Intelligence. The session will cover strategies ranging from workflows for ensuring data quality and storage, to applying Machine Learning and Process Mining for deeper analysis. By focusing on these intersecting disciplines, we aim to demonstrate how researchers can achieve scalable, reproducible results that adhere to FAIR principles, ultimately transforming raw data into real, actionable insights.
Your hosts for this workshop!
Prof. Dr. Carsten Binnig
TU Darmstadt
Jan-Micha Bodensohn
TU Darmstadt
Prof. Dr. Kristian Kersting
TU Darmstadt
Prof. Dr. Bastian Leibe
RWTH Aachen University
Aaron Küsters
RWTH Aachen University
Prof. Dr. Matthias Müller
RWTH Aachen University
Marcel Nellesen
RWTH Aachen University
Marco Pegoraro
RWTH Aachen University
Jonas Seng
TU Darmstadt
Liane Vogel
TU Darmstadt
Prof. Dr. Wil van der Aalst
RWTH Aachen University