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Kamila Zdybał

Observed names: K. Zdybal, K. Zdybał, K. Zydbal, Zdybal, Kamila, Zdybał, Kamila, Zdybał, Kamila (author)
ORCID: 0000-0002-3952-3824
Observed ORCID: 0000-0002-3952-3824
OpenAlex ID: A5018932973
Reduced-order modeling of supersonic fuel–air mixing in a multi-strut injection scramjet engine using machine learning techniques
2022 · Ali C. Ispir, Kamila Zdybał, et al. · Acta Astronautica · 48
Manifold-informed state vector subset for reduced-order modeling
2022 · Kamila Zdybał, James C. Sutherland, et al. · Proceedings of the Combustion Institute · 33
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PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds
2020 · Kamila Zdybał, Elizabeth Armstrong, et al. · SoftwareX · 23
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Cost function for low-dimensional manifold topology assessment
2022 · Kamila Zdybał, Elizabeth Armstrong, et al. · Scientific Reports · 21
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Local manifold learning and its link to domain-based physics knowledge
2023 · Kamila Zdybał, Giuseppe D’Alessio, et al. · Applications in Energy and Combustion Science · 13
Improving reduced-order models through nonlinear decoding of projection-dependent outputs
2023 · Kamila Zdybał, Alessandro Parente, et al. · Patterns · 11
Advancing Reacting Flow Simulations with Data-Driven Models
2023 · K. Zdybal, G. D’Alessio, et al. · Cambridge University Press eBooks · 11
PCAfold 2.0—Novel tools and algorithms for low-dimensional manifold assessment and optimization
2023 · Kamila Zdybał, Elizabeth Armstrong, et al. · SoftwareX · 8
Optimizing progress variables for ammonia/hydrogen combustion using encoding–decoding networks
2025 · Kamila Zdybał, James C. Sutherland, et al. · Combustion and Flame · 6
Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches
2023 · K. Zdybał, M. R. Malik, et al. · Lecture notes in energy · 5
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Advancing Reacting Flow Simulations with Data-Driven Models
2022 · Zdybał, Kamila, D'Alessio, Giuseppe, et al. · arXiv (Cornell University) · 5
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pykitPIV: A framework for flexible and reproducible virtual training of machine learning models in optical velocimetry
2025 · Kamila Zdybał, Claudio Mucignat, et al. · SoftwareX · 2
Progress variable optimization: Effects on the manifold topology and reduced-order modeling
2026 · Grégoire Corlùy, Kamila Zdybał, et al. · Energy and AI · 1
Improving the performance of a lightweight convolutional neural network for particle image velocimetry through hyper-parameter and padding optimization
2025 · Claudio Mucignat, Kamila Zdybał, et al. · Physics of Fluids · 1
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A lean probabilistic CNN for PIV enabling joint flow and reconstruction uncertainty estimation
2026 · C. Mucignat, K. Zydbal, et al. · International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics (Lisbon Laser Symposium)
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Progress variable optimization: Effects on the manifold topology and reduced-order modeling
2026 · Corlùy, Grégoire, Zdybał, Kamila, et al.
Autonomous optical velocimetry via reinforcement learning: a proof-of-concept agentic autofocus
2026 · Zdybał, Kamila (author), Mucignat, Claudio (author), et al. · DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa))
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Feature extraction in combustion applications
2019 · Giuseppe D’Alessio, Gianmarco Aversano, et al. · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)
Works count: 26
Citation count: 191
H-index: 8
I10-index: 7
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