Research output per year
Research output per year
Personal profile
Research profile
I have contributed to advancement of zero-defect manufacturing within industrial sectors, specifically in forming and additive manufacturing. With my research background in mechanical engineering, materials science, and computational simulations, I am able to tackle complex challenges and provide innovative solutions at the intersection of technology and industry.
My current research focus is sustainable manufacturing using computational design and mechanics. I am interested in uncertainty quantification, surrogate modeling, Bayesian optimization and process optimization to enhance the sustainability of design and manufacturing processes.
Robust optimization and tailored scatter are my main research lines and I have developed Robustimizer GUI for industrial and academic partners:
Robustimizer is a software tool developed for robust optimization and uncertainty quantification. This cross-disciplinary research software provides an easy-to-use and cutting-edge platform for optimization under the influence of uncertainties.
Research interests
Sustainable manufacturing, Computational mechanics and materials science, robust optimization, uncertainty quantification, Advanced manufactring
Keywords
- TS Manufactures
- Sustainable manufacturing
- TJ Mechanical engineering and machinery
- Robust optimization
Fingerprint
Dive into the research topics where O. Nejadseyfi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
-
Accounting for non-normal distribution of input variables and their correlations in robust optimization
Nejadseyfi, O., Geijselaers, H. J. M., Atzema, E. H., Abspoel, M. & van den Boogaard, A. H., 2022, In: Optimization and Engineering. 23, 4, p. 1803-1829Research output: Contribution to journal › Article › Scientific › peer-review
Open Access2 Citations (Scopus) -
From specified product tolerance to acceptable material and process scatter: an inverse robust optimization approach
Nejadseyfi, O., Geijselaers, H. J. M., Atzema, E. H., Abspoel, M. & van den Boogaard, A. H., 2020, In: International Journal of Material Forming. 13, 3, p. 467-478Research output: Contribution to journal › Article › Scientific › peer-review
Open Access2 Citations (Scopus) -
Evaluation and assessment of non-normal output during robust optimization
Nejadseyfi, O., Geijselaers, H. J. M. & van den Boogaard, A. H., 2019, In: Structural and Multidisciplinary Optimization. 59, 6, p. 2063-2076 14 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access4 Citations (Scopus) -
Robust optimization based on analytical evaluation of uncertainty propagation
Nejadseyfi, O., Geijselaers, H. & van den Boogaard, T., 2019, In: Engineering Optimization. 51, 9, p. 1581-1603 23 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access5 Citations (Scopus) -
Tailoring material scatter for metal forming processes based on inverse robust optimization
Nejadseyfi, O., Geijselaers, H. J. M. & Van Den Boogaard, A. H., 2019, In: AIP Conference Proceedings. 2113, 1, 120005.Research output: Contribution to journal › Conference article › Scientific › peer-review