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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A Comparative Study on Multi-fidelity Machine Learning Modeling for Aerospace Problems
Kilic, D. & Nikbay, M., 2025, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Aeroacoustic optimization of unsteady transonic cavity flow using a Bayesian approach
Kaba, R., Yildiz, S., Zafer, B. & Nikbay, M., 2025, (Accepted/In press) In: CEAS Aeronautical Journal.Research output: Contribution to journal › Article › peer-review
Open Access -
Analytical benchmark problems and methodological framework for the assessment and comparison of multifidelity optimization methods
Mainini, L., Serani, A., Pehlivan-Solak, H., Di Fiore, F., Rumpfkeil, M. P., Minisci, E., Quagliarella, D., Yildiz, S., Ficini, S., Pellegrini, R., Thelen, A., Bryson, D., Nikbay, M., Diez, M. & Beran, P. S., 2025, (Accepted/In press) In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Review article › peer-review
Open Access -
CFD-Based Techniques for Flutter Prediction Through the Generation of Generalized Aerodynamic Forces
Cakmak, E., Kurnaz, M., Kilic, D. & Nikbay, M., 2025, AIAA AVIATION FORUM AND ASCEND, 2025. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Aviation Forum and ASCEND, 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Implementation and Assessment of Machine Learning Methods for Multidisciplinary Aerospace Problems
Kilic, D. & Nikbay, M., 2025, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Low-Speed Wind Tunnel Tests on a Multi-Configurable Planform UCAV Model
Kontis, K., Aleisa, H. & Nikbay, M., 2025, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Machine Learning Based Turbulence Model Calibration for Aeroacoustic Prediction of Transonic Cavity Flows
Pirlepeli, B., Bedir, B. B. & Nikbay, M., 2025, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Hesaplamalı Araştırma ve Uygulama Altyapısının Geliştirilmesi
Nikbay, M. (PI)
23/05/25 → 23/03/26
Project: Research › SRP
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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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Makine Öğrenmesi Yöntemlerinin Çok Disiplinli Hava Uzay Problemlerine Uygulanması ve Değerlendirilmesi
Nikbay, M. (PI)
24/01/25 → 24/07/25
Project: Research › SRP
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Further extension and verifications of the Machine Learning Algorithms in APOW".
Nikbay, M. (PI)
25/09/24 → 25/09/25
Project: Research › 1773TTO
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Çırpınma Tahmini için CFD Tabanlı Yöntemlerle Genelleştirilmiş Aerodinamik Kuvvetlerin Hesaplanması
Nikbay, M. (PI)
1/08/24 → 1/05/25
Project: Research › 1773TTO
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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