| A framework for managing innovation cycles in manufacturing systems A Hofer, F Brandl, H Bauer, S Haghi, G Reinhart Procedia CIRP 93, 771-776, 2020 | 17 | 2020 |
| Marking of electrode sheets in the production of lithium-ion cells as an enabler for tracking and tracing A Sommer, M Leeb, S Haghi, FJ Günter, G Reinhart Procedia CIRP 104, 1011-1016, 2021 | 11 | 2021 |
| Machine learning in lithium‐ion battery cell production: a comprehensive mapping study S Haghi, MFV Hidalgo, MF Niri, R Daub, J Marco Batteries & Supercaps 6 (7), e202300046, 2023 | 10 | 2023 |
| Existing challenges and the corresponding approach towards a smart complaint and failure management process S Haghi, V Heinrichs, J Kukulies, R Schmitt Procedia CIRP 72, 989-994, 2018 | 9 | 2018 |
| A Review of the Applications of Explainable Machine Learning for Lithium–Ion Batteries: From Production to State and Performance Estimation M Faraji Niri, K Aslansefat, S Haghi, M Hashemian, R Daub, J Marco Energies 16 (17), 6360, 2023 | 5 | 2023 |
| Tailored Digitalization in Electrode Manufacturing: The Backbone of Smart Lithium‐Ion Battery Cell Production S Haghi, A Summer, P Bauerschmidt, R Daub Energy Technology 10 (10), 2200657, 2022 | 5 | 2022 |
| A methodology for flexible configuration of change management processes S Haghi, F Sippl, L Zink, G Reinhart Procedia CIRP 104, 1149-1154, 2021 | 5 | 2021 |
| A Conceptual Framework towards Data-Driven Models in Electrode Production of Lithium-Ion Battery Cells S Haghi, HC Töpper, FJ Günter, G Reinhart Procedia CIRP 104, 1155-1160, 2021 | 5 | 2021 |
| Measuring Instruments for Characterization of Intermediate Products in Electrode Manufacturing of Lithium‐Ion Batteries S Haghi, M Leeb, A Molzberger, R Daub Energy Technology 11 (9), 2300364, 2023 | 3 | 2023 |
| Flexibilisierung des Änderungsmanagements F Sippl, S Haghi, S Wagner, G Reinhart Zeitschrift für wirtschaftlichen Fabrikbetrieb 115 (6), 394-398, 2020 | 2 | 2020 |
| Smartes Fehlermanagement auf dem Shop Floor. Ein Lösungsansatz für KMU M Rüßmann, S Haghi, D Bergstein, RH Schmitt Arbeit 4.0 im Mittelstand: Chancen und Herausforderungen des digitalen …, 2019 | 2 | 2019 |
| Efficient Analysis of Interdependencies in Electrode Manufacturing Through Joint Application of Design of Experiments and Explainable Machine Learning S Haghi, J Keilhofer, N Schwarz, P He, R Daub Batteries & Supercaps 7 (2), e202300457, 2024 | | 2024 |
| Data-Driven Approach to Analyze Interdependencies between Electrode Manufacturing Parameters and Electrochemical Performance of the Lithium-Ion Battery Cell S Haghi, R Daub Electrochemical Society Meeting Abstracts 243, 670-670, 2023 | | 2023 |
| Interdependencies in Electrode Manufacturing: A Comprehensive Study Based on Design Augmentation and Explainable Machine Learning S Haghi, Y Chen, A Molzberger, R Daub Batteries & Supercaps, e202300556, 0 | | |
