State of Knowledge Managementamong German firefighters
A.M. Schultz, F. Dotzki, I. Mozgova, in: B. Penkert, B. Hellingrath, M. Rode, A. Widera, M. Middelhoff, K. Boersma, M. Kalthöner (Eds.), Proceedings of the 21st ISCRAM Conference, 2024.

Aspects of a Sustainability Focused Comparison of the Wire Arc Additive Manufacturing (WAAM) and the Laser Powder Bed Fusion (LPBF) Process
J. Wurst, T. Steinhoff, I. Mozgova, T. Hassel, R. Lachmayer, in: 2023.

Concept and Implementation of a Student Design Project for the Development of Sustainable Products
J. Wurst, D. Rosemann, I. Mozgova, R. Lachmayer, in: 2023.

Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique
I. Gräßler, I. Mozgova, J. Pottebaum, M. Ott, P. Jung, P. Hesse, in: R. Teti (Ed.), Procedia CIRP ICME, Elsevier, 2023.

Methodical Approach to Reducing Design Time by using Neural Networks in Early Stages of Concept Development
M. Ott, N. Meihöfener, I. Mozgova, in: M. Ott (Ed.), Proceedings of the 34rd Annual International Solid Freeform Fabrication Symposium 2023, Austin, Texas, United States, 2023.

Prozesskettenorientierte Herstellbarkeitsanalyse von Produkten durch die Nutzung eines Constraint-Satisfaction-Problems
K. Herrmann, F. Pusch, S. Plappert, B. Bode, I. Mozgova, P.C. Gembarski, R. Lachmayer, in: Stuttgarter Symposium Für Produktentwicklung SSP 2023: Tagungsband Zur Konferenz, Stuttgart: Fraunhofer IAO, 2023, pp. 79–90.

Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen
L. Müller, M.L. Wawer, N. Heimes, J. Uhe, O. Koepler, S. Auer, R. Lachmayer, I. Mozgova, in: DS 125: Proceedings of the 34th Symposium Design for X (D), Erlangenf: Ehemaligennetzwerk des Lehrstuhls für Konstruktionstechnik (KTmfk) Erlangen e.V., 2023, pp. 143–152.

Approach for a Safety Element out of Context for an Actuator Circuit Control Module
H. Noun, I. Mozgova, M. Abdelfattah, G. Zeller, G. Rajesh, R. Lachmayer, International Journal of Industrial and Manufacturing Engineering 17 (2023) 237–243.

Creation of a Knowledge Space by Semantically Linking Data Repository and Knowledge Management System - a Use Case from Production Engineering
T. Scheveleva, M.L. Wawer, P. Oladazimi, O. Koepler, F. Nürnberger, R. Lachmayer, S. Auer, I. Mozgova, in: 2022.

Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies
I. Mozgova, O. Altun, T. Scheveleva, A. Castro, P. Oladazimi, O. Koepler, R. Lachmayer, S. Auer, in: 2022.

Comparative Evaluation of Product and Service Solutions in the Context of Product-Service Systems and Technical Inheritance
J. Schneider, W. Scheidel, J. Wurst, I. Mozgova, R. Lachmayer, in: 2022.

Quantification of the material-related environmental impact of topology-optimized multi-material components
K. Herrmann, B. Bode, J. Wurst, P. Gembarski, I. Mozgova, R. Lachmayer, in: 2022.

Sustainability Assessment of Products manufactured by the Laser Powder Bed Fusion (LPBF) Process
J. Wurst, I. Mozgova, R. Lachmayer, in: 2022.

Life cycle cost impact of maintenance networks for product-service system fleets
J. Schneider, I. Mozgova, R. Lachmayer, in: 2022.

Procedure to Create an Automated Design Environment for Functional Assemblies
O. Altun, Y. Kutay, I. Mozgova, R. Lachmayer, in: 2022.

Ontology-Based Documentation of Quality Assurance Measures Using the Example of a Visual Inspection
T. Sheveleva, K. Herrmann, M.L. Wawer, C. Kahra, F. Nürnberger, O. Koepler, I. Mozgova, R. Lachmayer, S. Auer, in: 2022.

Technical Inheritance as an Approach to Data-Driven Product Development
R. Lachmayer, I. Mozgova, in: Design Methodology for Future Products, 2022.

Corporate Strategy Based Quantitative Assessment of Sustainability Indicators at the Example of a Laser Powder Bed Fusion Process
J. Wurst, J. Schneider, T. Ehlers, I. Mozgova, R. Lachmayer, in: 2022.

Parametrization of a Hybrid Component Production Process Chain Based on Semantically Annotated Data. 
M.L. Wawer, T. Sheveleva, O. Koepler, F. Nürnberger, I. Mozgova, in: 2022.

Normalization Matrix for Sustainability Assessments Considering the Laser Powder Bed Fusion Process
J. Wurst, I. Mozgova, R. Lachmayer, in: 2022.