Research output per year
Research output per year
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Dive into the research topics where Melike Nikbay 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
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Low Observable Uncrewed Aerial Vehicle Wind Tunnel Model Design, Manufacturing, and Aerodynamic Characterization
Aleisa, H., Kontis, K. & Nikbay, M., Mar 2024, In: Aerospace. 11, 3, 216.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
AVT-297 Development of a Framework for Validation of Computational Tools
Morrison, J. H., Nikbay, M. & Walker, E. L., 2023, AIAA SciTech Forum and Exposition, 2023. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA SciTech Forum and Exposition, 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Conceptual Design of a Nonconstant Swept Flying Wing Unmanned Combat Aerial Vehicle
Aleisa, H., Kontis, K., Pirlepeli, B. & Nikbay, M., 2023, In: Journal of Aircraft. 60, 6, p. 1872-1888 17 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Development of A Sonic Boom Propagation Code For Low-Boom Supersonic Aircraft Design and Optimization
Demiroglu, Y. & Nikbay, M., 2023, AIAA SciTech Forum and Exposition, 2023. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA SciTech Forum and Exposition, 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Implementation of Multidisciplinary and Multifidelity Uncertainty Quantification Methods for Sonic Boom Prediction
Tekaslan, H. E., Yildiz, S., Demiroglu, Y. & Nikbay, M., 1 Mar 2023, In: Journal of Aircraft. 60, 2, p. 410-422 13 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Multi-Fidelity and Multi-Disciplinary Design Optimization of A Low-Boom Supersonic Transport Aircraft
Nikbay, M., Kilic, D., Cakmak, E., Tekaslan, H. E., Yildiz, S. & Demiroglu, Y., 2023, AIAA SciTech Forum and Exposition, 2023. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA SciTech Forum and Exposition, 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Tekaslan, H. E. & Nikbay, M., May 2023, In: Journal of Aerospace Information Systems. 20, 5, p. 264-275 12 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
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Modeling Unsteady Flow Characteristics of Supersonic Cavity Flow via Deep Learning
Nikbay, M. (PI)
20/12/23 → 31/12/25
Project: Other
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BAOMAC: Implementation of Bayesian Optimization and Machine Learning Algorithms to Automated Process and Optimization Workbench
Nikbay, M. (PI)
15/09/23 → 15/09/24
Project: Research › TTO
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Yüksek Açıklık Oranlı Kanatlara Sahip Çevre Dostu Uçakların Çok Doğruluklu Temsili Modelleme Tabanlı Aeroelastik Optimizasyon Ile Geliştirilmesi
Nikbay, M. (PI)
1/04/23 → 1/04/26
Project: Research › TUBITAK
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Development of Multifidelity Deep Neural Network for Aeroelastic Predictions of a High Aspect Ratio Wing
Nikbay, M. (PI)
21/12/22 → 23/12/24
Project: Research › SRP
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Yüksek Açıklık Oranlı Kanatlar için Belirsizlik Altında Aeroelastik Optimizasyon
Nikbay, M. (PI)
7/08/23 → 7/02/24
Project: Research › SRP
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MultiFidelity and Multi-Disciplinary Design Optimization of A Low Boom Supersonic Transport Aircraft
Nikbay, M. (PI)
10/01/23 → 10/04/23
Project: Research › SRP
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Implementation of Multi-Fidelity Models and Neural Architecture Search for Deep and Convolutional Neural Networks
Nikbay, M. (PI)
1/09/22 → 30/04/23
Project: Research › TTO