Keno Moenck, M.Sc.
Contact
Room L2053
Telephone 040 42878-3341
Fax 040 42731-4551
E-Mail Keno Moenck, M.Sc.
Career
| Since 04.2024 | Team Lead Digitalization & AI in Industry X.0 at the Institute of Aircraft Production Technology |
| Since 05.2021 | Research Associate at the Institute of Aircraft Production Technology |
| 01.2021 - 03.2021 | Research Assistant at the Institute of Aircraft Production Technology |
| 10.2019 - 04.2020 | Project Engineer, Tool & Equipment Engineering (PD Engines), Lufthansa Technik AG |
| 12.2016 - 01.2021 | Student Assistant at the Institute of Aircraft Production Technology |
| 10.2014 - 04.2021 | Studying Mechatronics at Hamburg University of Technology |
Research
Open positions for research assistants
Teaching
- Selected Topics in Production Engineering in the Master's degree program Mechatronics.
- Applied Automation in Selected Topics of Product Development, Materials Science and Production and Selected Topics of Mechatronics of the Master's degree programs Product Development, Materials and Production, Theoretical Mechanical Engineering or Mechatronics.
- Development and support of parallel kinematic robots to demonstrate basic handling, manufacturing and measurement tasks in the Laboratory practical course in measurement and control technology. Remote access to the robots can be found at delta.ifpt.tuhh.de and can be reached from the TU campus network.
Open topics for theses and projects
Students who are interested in the following topics are welcome to contact me attaching a current transcript of records:
- Vision Foundation Models (VFM) (in industrial applications)
- Large Language Models (LLM) (in industrial applications)
- Multi-modal machine vision in industrial applications
- End-to-end robotic learning and perception
- Point cloud processing
- Machine learning on 3D point clouds
You can find all topics for theses and projects here. Not all ideas always make it onto this page, so unsolicited applications are welcome.
2024
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Industrial Language-Image Dataset (ILID) : adapting vision foundation models for industrial settings
arXiv: 2406.09637v1 (2024-06-14)
Open Access | Publisher DOI -
Digital twins in aircraft production and MRO : challenges and opportunities
CEAS Aeronautical Journal 15 (4): 1051-1067 (2024)
Open Access | Publisher DOI
2023
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Industrial segment anything - A case study in aircraft manufacturing, intralogistics, maintenance, repair, and overhaul
arXiv: 2307.12674 (2023)
Open Access | Publisher DOI -
Industry 5.0 in aircraft production and MRO: technologies, challenges, and opportunities
Preprint (2023)
Open Access | Publisher DOI -
A human-centered IIoT platform approach for manual inspections : towards digital documentation and assistance applications
Procedia CIRP 120: 762–767 (2023)
Open Access | Publisher DOI -
Geometric digital twins of long-living assets: uncertainty-aware 3D images from measurement and CAD data
Publisher DOI -
GraphSTEP: concurrent, cloud-based, lifecycle-oriented editing and updating of product data
Procedia CIRP 120: 678-683 (2023)
Open Access | Publisher DOI
2022
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Towards an Intelligent Digital Cabin Twin to Support an Aircraft's Retrofit and Base Maintenance (SAE Paper 2022-01-0046)
SAE International AeroTech (AEROTECH 2022)
Publisher DOI -
Digital twins of existing long-living assets : reverse instantiation of the mid-life twin
33rd Symposium Design for X (DFX 2022)
Publisher DOI
2021
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Augmented Reality Based Data Improvement for the Planning of Aircraft Cabin Conversions
ACM International Conference Proceeding Series: 37-45 (2021-01)
Publisher DOI
2020
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Augmented Reality Based Data Improvement for the Planning of Aircraft Cabin Conversions
IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA 2020)
Publisher DOI