C. Ates, T. Höfchen, M. Witt, R. Koch, H.-J. Bauer, Vibration-based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders, Sensors, Vol. 23(22), 9212, 2023 (Q1).
J. Arweiler, C. Ates, J. Cerquides, R. Koch, H.-J. Bauer, Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling, MAKE, Vol. 5, 1474, 2023 (Q1).
M. Wicker, C. Ates, M. Okraschevski, S. Holz, R. Koch, H.-J. Bauer, Modeling Multivariate Spray Characteristics with Gaussian Mixture Models, Energies, Vol. 16, 6818, 2023 (Q1).
C. Ates, D. Bicat, R. Yankov, J. Arweiler, R. Koch, H.-J. Bauer, Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins, Algorithms, Vol. 16, 387, 2023 (Q2).
C. Ates, C. Gundogdu, M. Okraschevski, N. Bürkle, R. Koch, H.-J. Bauer. Characterization of Flow-Blurring Atomization with Smoothed Particle Hydrodynamics (SPH), International Journal of Multiphase Flow, Vol. 164, 104442, 2023 (Q1).
C. Ates, F. Karwan, M.
Okraschevski, R. Koch, H.-J. Bauer,
Conditional Generative Adversarial Networks for Modelling Fuel Sprays, Energy
and AI, Vol. 12, 100216, 2023. (Q1).
O. Schumacher, C. Ates, M.
Börnhorst, R. Koch, P. Stephan, Deposit
formation from evaporating urea-water droplets on substrates of different
wettability, Journal of Colloid and Interface Science , Vol. 634, 1-13, 2023
(Q1).
C. Aetes, M. Börnhorst, R.
Koch, M. Eck, O. Deutschmann, H.-J. Bauer, Morphological characterization of
urea derived deposits in SCR systems, Chemical Engineering Journal, Vol. 409,
128230, 2021 (Q1).
G.
Chaussonnet, T. Dauch, M. Keller, M. Okraschevski, C. Ates, C.
Schwitzke, R. Koch, H.-J. Bauer, Progress in the Smoothed Particle
Hydrodynamics Method to Simulate and Post-process Numerical Simulations of
Annular Airblast Atomizers, Flow, Turbulence and Combustion, Vol. 105, pp. 1119–1147, 2020 (Q1).
T.F. Dauch, C. Ates, T.
Rapp, M.C. Keller, G. Chaussonnet, J. Kaden, M. Okraschevski, R. Koch, C.
Dachsbacher, H.-J. Bauer, Analyzing the Interaction of Vortex and Gas–Liquid
Interface Dynamics in Fuel Spray Nozzles by Means of Lagrangian-Coherent
Structures (2D), Energies, Vol. 12, 2552, 2019 (Q1).
Selected Oral Presentations and Invited Talks
J. Arweiler, C. Ates, J. Cerquides, R. Koch, H.-J. Bauer,Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling, HelmholtzAI Conference, 11-14 June, Hamburg, Germany, 2023.
C. Ates, Modeling fuel droplet statistics with Generative Machine Learning, Annual Combustion & Turbines German UTC & DLR, Karlsruhe, 2023.
C. Ates, How the brain learns and why adaptive models matter, KCDS Talks, KIT, Karlsruhe, 2023.
C. Ates, F. Karwan, M. Okraschevski, R. Koch and H.-J. Bauer, Generative Adversarial Networks for Modelling Fuel Sprays, Mediterranean Combustion Symposium, January 23-26, Luxor, Egypt, 2023.
C. Ates, Machine
Intelligence in Turbomachinery, Oral
Presentation, Annual Combustion &
Turbines German UTC & DLR, Göttingen, 2022.
Supervised Work
Sarikaya, Wetting Behaviour of Aqueous Media on Rough and Microstructured Surfaces, 2023.
Cros-Le Lagadec, Experimental Studies on the Geometric Optimization of a Falling Film Absorber, 2023.
Fernandez, Machine Learning for Spatial Disaggregation of Regional Transport Data in the EU, 2023.
Yankov, Model Predictive Temperature Control via Neural Network Based Digital Twins, 2023.
Alshanawani, Data Driven Design of Flow Blurring Atomizer, 2023. Höfchen, Vibration-based condition estimation of journal bearings using machine learning, 2023.
Mifsud, Modelling Fluid Dynamics with Graph Neural Networks, 2023.
Lehmann, Development of an Optical Measurement Method for the Investigation of the Hydrodynamics of Falling Films, 2022.
Karwan, Conditional Time Series Generative Adversarial Networks for Modelling Fuel Sprays, 2022.
Hadad, Secondary Motion of Non-spherical Particles in Gas-Solid Flows, 2022.
Arweiler, Uncertainty Estimation of PIV measurements using CNNs, 2022.
Gundogdu, Identification of the flow patterns in a novel flow-blurring atomizer with smoothed particle hydrodynamics (SPH), 2020.
Ramos, Design optimization and experimental investigation of breakup phenomena in a “flow blurring” injector, 2020.
Sen, Modeling of radiative heat transfer in strongly forward scattering media of bubbling fluidized bed combustor with and without recycle,Master Thesis, METU ,2017.
Collobrative / External Thesis
Generative Adversarial Networks for Monte Carlo simulations of renewable production, with IIP-KIT, EnBW, 2023.
Improving Product Valuation in the Energy Market via Generative Adversarial Networks. with IIP-KIT, EnBW, 2023.
Modelling of the development of the European passenger car market, with IIP, DLR, 2022.
Predicting Unprecedented Power Prices by Using Tailored Machine Learning Methods, with IIP-KIT, EnBW, 2022.
Data Driven Model Discovery for Therapeutic Drug Monitoring, with University Freiburg , Jena University Hospital,2022-2023.
Translating sensory data with machine learning: Gearbox cooling in aero engines, with ITS-KIT, 2022.
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