Prof. Dr. Iryna Mozgova

Datenmanagement im Maschinenbau

Section Owner
Office Address:
Pohlweg 47-49
33098 Paderborn
Room:
P1.3.19
Datenmanagement im Maschinenbau
Section Owner - Professor
Key research area Sustainable Materials, Processes and Products
Member - Professor
Office Address:
Pohlweg 47-49
33098 Paderborn
Room:
P1.3.19

About Iryna Mozgova

Curriculum Vitae

Since 2022: Professor of Data Management in Mechanical Engineering, Paderborn University

2017 - 2022: Team Leader "Methods of Product Development", Institute of Product Development, Leibniz University Hannover

2011 - 2017: Academic Councillor, Institute of Product Development, Leibniz University Hannover

2011 - 2011: Research Assistant, Institute of Product Development, Leibniz University Hannover

2009 - 2010: Research Assistant, Institute of Materials Science, Leibniz University Hannover

2002 - 2009: Docent, Department of Mathematical Support of Calculating Machines, Faculty of Applied Mathematics, Dnipropetrovsk National University, Ukraine

1997 - 2002: Research Assistant, Department of Mathematical Support of Calculating Machines, Faculty of Applied Mathematics, Dnepropetrovsk State University, Ukraine

2001: Doctorate under supervision of Prof. Dr.-Ing. habil. Oleksandr P. Prystavka, National Aviation University, Ukraine

1992 - 1997: Studies in Applied Mathematics, Dnipropetrovsk State University, Ukraine

1992: Software Developer, Dnepropetrovsk Aggregate Plant, Ukraine

Publications

Latest Publications

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.
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.
Show all publications

Teaching


Current Courses

  • Technische Darstellung (Übung)
  • Technische Darstellung (Zentralübung)
  • Technische Darstellung
  • Standardsoftware im Maschinenbau (Übung)
  • Standardsoftware im Maschinenbau
  • Seminar Design and Planning
  • Projektseminar Rechnergestütztes Konstruieren und Planen
  • Methoden des Qualitätsmanagements (Übung)
  • Methoden des Qualitätsmanagements
  • CAE-Anwendungsprogrammierung in einer höheren Programmiersprache

Scientific Engagement

Since 2021  |  Member of the Research Data Alliance RDA


2020 - 2022  |  Spokesperson, Quality assurance in Research Data Management processes and metrics for FAIR data, National Research Data Infrastructure for Engineering Sciences NDFI4Ing