Research output per year
Research output per year
Personal profile
Research
I have many years of experience in Product Development and have conducted research in Machine Learning and Generative AI. Additionally, I have extensive industry experience in foundry, construction, and building components, where I have developed practical solutions that effectively integrate technology with business objectives. I have a deep understanding of material properties and expertise in CAD and BIM engineering software.
Education/Academic qualification
Master's Degree, Cand. Polyt - Technology Based Business Development, Master of Science (MSc) in Engineering
2012 → 2014
Bachelor's Degree, Business Development Engineer, Engineer, Aarhus University
2009 → 2012
Areas of expertise
- Generative AI
- Machine Learning
- Engineering
- Business Development
- Product Development
Fingerprint
Dive into the research topics where Michael Lystbæk is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Text-to-Image Conditional GAN-Based Floor Plan Generator
Lystbæk, M. S., 2025, 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). p. 0302-0307 6 p. (International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Vol. 2025).Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review
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Circular Economy Manufacturing Strategies from Nordic/Baltic Regions: : Creating Value from Residue Glass Fiber & Circular Business Model
Nielsen, M. K., Jakobsen, A. M. S. Ø., Lystbæk, M. & Beliatis, M., 18 Jun 2024.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Machine Learning-Based Feature Mapping for Enhanced Understanding of the Housing Market
Lystbæk, M. S. & Srirajan, T. P., 2024, Engineering Applications of Neural Networks: 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings. Iliadis, L., Maglogiannis, I., Papaleonidas, A., Pimenidis, E. & Jayne, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 530-543 14 p. (Communications in Computer and Information Science, Vol. 2141 CCIS).Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review
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Removing Unwanted Text from Architectural Images with Multi-Scale Deformable Attention-Based Machine Learning
Lystbæk, M., Giannakidis, A., Beliatis, M. & Olsen, M., Oct 2023, 2023 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, (IEEE International Conference on Imaging Systems and Techniques Proceedings).Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review
3 Citations (Scopus) -
FRAME SEALING SYSTEM, CURTAIN WALLING SYSTEM AND METHOD OF MOUNTING A CURTAIN WALL
Nielsen, E. (Inventor), Lystbæk, M. (Inventor), Hessel, S. (Inventor) & Smedegaard, K. (Inventor), 13 Jun 2019, IPC No. E04B2/90, E04B2/96, E06B1/36, E06B1/38, E06B1/60, E06B7/14, Patent No. WO2019072935A3, Priority date 11 Oct 2017, Priority No. DKPA201770772AResearch output: Patent
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