Edwin Blum, M.Sc.

  • 76131 Karlsruhe
    Kaiserstraße 12

Edwin Blum, M.Sc.

Area of Research:

  • Sustainable Production

General Tasks:

  • Coordination of the lecture "Artificial Intelligence in Production"
  • Coordination of the learning factory module “Digital Twins”
  • Coordination of the „computed tomography“ unit of the “Production Integrated Metrology” internship (PIM)
  • Coordination of the lecture „Circular Factory“

Projects:

  • CRC 1574 - Circular Factory for the Perpetual Product
  • rEUman - Digitally-enhanced multi-level solution for smart human-centric remanufacturing

Curriculum Vitae:

since 11/2022

Research Associate at the Institute of Production Science (wbk) at Karlsruhe Institute of Technology (KIT)

10/2015-03/2022 

Study of Industrial Engineering at Technical University Kaiserslautern (TUK)

Veröffentlichungen


Leveraging Digital Twins for Integrated Capacity Planning in Remanufacturing Systems
Engels, M.; Bail, F.; Blum, E.; Benfer, M.; Lanza, G.
2026. Procedia CIRP, 146, 499–504. doi:10.1016/j.procir.2026.03.200
6D Pose Estimation of Stator Windings from CT-Measurements
Bär, E.; Blum, E.; Stamer, F.; Lanza, G.
2026. Procedia CIRP, 139, 268–273. doi:10.1016/j.procir.2025.08.190
Evaluating YOLOv11-OBB on Critical Defects for the Optical Quality Inspection of PEM Electrolyzer Bipolar Plates
Buchholz, J.; Blum, E.; Börgardts, R.; Stamer, F.; Lanza, G.
2025. 2025 2nd International Conference on Production Technologies and Systems for E-Mobility (EPTS), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EPTS67931.2025.11547369
Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations
Blum, E.; Burmeister, M.; Stamer, F.; Lanza, G.
2025. implicit neural representations Hrsg.: Sijbers, Jan, 30 (2). doi:10.58286/30752
Mastering the Future of Production: A Training Concept for Digital Twins
Martin, M.; Blum, E.; Wöllstein, D.; Lanza, G.
2024. Learning Factories of the Future – Proceedings of the 14th Conference on Learning Factories 2024, Volume 1. Ed.: S. Thiede, 121 – 128, Springer Nature Switzerland. doi:10.1007/978-3-031-65411-4_15