个人简历

Bernd R. Noack is full professor at Harbin Institute of Technology, Shenzhen, China since 2020. He is also honorary professor and Chair of “Turbulence Control” at the Technical University of Berlin. Before entering HIT, he was Director of Research at the French National Research Center (CNRS), LIMSI (Paris-Saclay), Professor and Chair of “Flow Modeling and Control” at the Technical University of Braunschweig and Professor and Chair of “Reduced-Order Modeling for Flow Control” at the Technical University of Berlin. Earlier affiliations include the United Technologies Research Center (USA), the Max-Planck Society (Germany), the German Aerospace Center and the University of Goettingen (Germany).
He develops closed-loop turbulence control solutions for greener transport and energy in an interdisciplinary effort with leading groups in China, Europe, and USA/Canada. His team is advancing the frontiers of nonlinear control-oriented reduced-order models and artificial intelligence / machine learning control, an automated learning of control laws in the experiment. He has co-authored over 200 refereed publications, including 2 patents, 2 textbooks and over 100 journal articles. His work has been honored by numerous awards, e.g., a Fellowship of the American Physical Society for “pioneering contributions to turbulence control”, a CNRS Scientific Excellence award, a Senior ANR Chair of Excellence in France, and an annual von Mises Award of International Association of Applied Mathematics and Mechanics. His publications are highly cited: 17 have become citation classics and 2 articles received the ISI Thomson highly cited distinction.
Books
Duriez, T., Brunton, S. L. & Noack, B. R. 2016 Machine Learning Control — Taming Nonlinear Dynamics and Turbulence. Series ’Fluid Mechanics and Its Applications’ 116, Springer-Verlag.
Noack, B. R., Morzyński, M., & Tadmor, G. (eds.) 2011 Reduced-Order Modelling for Flow Control. Series ’CISM Courses and Lectures’ 528, Springer-Verlag Vienna.
R. Semaan, D. Fernex, A. Weiner, & B. R. Noack. xROM--A Toolkit for Reduced-Order Modeling of Fluid Flows, volume 1 of Machine Learning Tools for Fluid Mechanics. Technische Universitat Braunschweig, Braunschweig.
Review articles
Brunton, S. L. & Noack, B. R. & Koumoutsakos, P. 2020 Machine learning for fluid mechanics. Ann. Rev. Fluid Mech. 52, 477–508.
Brunton, S. L., Noack, B. R. 2015 Closed-loop turbulence control: Progress and challenges. Appl. Mech. Rev. 67 (5), article 050801, 1–48.
Book chapters
J.-C. Loiseau, S. L. Brunton & B. R. Noack. From the POD-Galerkin method to sparse manifold models. In P. Benner, S. Grivet-Talocaia, A. Quarteroni, Rozza G., W. Schilders, and L. M. Silveria, editors, Handbook of Model-Order Reduction. Volume 3: Applications, volume 3 of Handbook of Model Order Reduction, pages 279–320. De Gruyter, 2020.
J.-C. Loiseau, S. L. Brunton & B. R. Noack. From the POD-Galerkin method to sparse manifold models. In P. Benner, S. Grivet-Talocaia, A. Quarteroni, Rozza G., W. Schilders, and L. M. Silveria, editors, Handbook of Model-Order Reduction. Volume 3: Applications, pages 279–320. De Gruyter, 2021.
R. Semaan, Y. El Sayed, S. Loges, B. R. Noack & R. Radespiel. Active flow control experiments on a high-lift configuration. In R. Radespiel and R. Semaan, editors, Fundamentals of High Lift for Future Civil Aircraft. Contributions to the Final Symposium of the Collaborative Research Center 880, volume 145 of Notes on Numerical Fluid Mechanics and Multidisci- plinary Design, pages 77–90. Springer-Verlag, 2020.
Loiseau, J.-C., Brunton, S. L. & Noack, B. R. 2020 From the POD-Galerkin method to sparse manifold models. Chapter in Benner, P. (ed.), Handbook of Model Order Reduction, Volume II: Applications, De Gruyter GmbH, pages 1–47.
Noack, B. R. 2019 Closed-loop turbulence control—From human to machine learning (and retour). Chapter in Zhou, Y., Kimura, M., Peng, G. Lucey, A.D., & Huang, L. Proceedings of the 4th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC), Springer, pages 23–32.
Morynski, M., Szeliga, W. & Noack, B. R. 2019 Unstable Periodically Forced Navier-Stokes Solutions—Towards Nonlinear First-Principle Reduced-Order Modeling of Actuator Performance. Chapter in Gelfat, A., Computational Modelling of Bifurcations and Instabilities in Fluid Dynamics, Springer, pages 117–146.
Bai, Z., Brunton, S. L., Brunton, B. W., Kutz, J. N., Kaiser, E., Spohn, A. & Noack, B. R. 2016 Data-driven methods in fluid dynamics: Sparse classification from experimental data. Chapter of Pollard, A., Castillo, L., Danaila, L. & Glauser, M. (eds.) ’Wither Turbulence and Big Data in the 21st Century’, Springer, pages 323–343.
Barros, D., Borée, Noack, B. R., Spohn, A. & Ruiz, T. 2016 Effects of unsteady shear layer forcing and Coanda blowing on the drag of a bluff body. Chapter of Pollard, A., Castillo, L., Danaila, L. & Glauser, M. (eds.) ’Wither Turbulence and Big Data in the 21st Century’, Springer, pages 365–373.
Kaiser, E., Noack, B. R., Cordier, L., Spohn, A., Segond, M., Abel, M., Daviller, G., Morzyński, M., Osth, J., Krajnovic, S. & Niven, R. K. 2014 Cluster-based reduced-order modelling of shear flows. AIP Conf. Proc. 1636. Chapter in the book Niven, R. K, Brewer, B., Paull, D., Shafi, K. & Stokes, B. (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering. 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2013). AIP Publishing, Melville, New York, 151–158.
Niven, R. K. & Noack, B. R. 2013 Control volume analysis, entropy balance and entropy production. In Dewar, R. C., Lineweaver C., Niven R. K. & Regenauer-Lieb K. (eds) 2013 Beyond the Second Law. Entropy Production and Non-equilibrium Systems. Springer-Verlag, pp. 129–162.
Morzyński, M., Noack, B. R. & Tadmor, G. 2011 Global stability analysis for linear dynamics. Chapter in Noack, B. R., Morzyński, M., & Tadmor, G. (eds.) 2011 Reduced-Order Modelling for Flow Control. CISM Courses and Lectures n. 528, Springer-Verlag, Vienna, pp. 77–110.
Noack, B. R., Schlegel, M., Morzyński, M. & Tadmor, G. 2011 Galerkin method for nonlinear dynamics. Chapter in Noack, B. R., Morzyński, M., & Tadmor, G. (eds.) 2011 Reduced-Order Modelling for Flow Control. CISM Courses and Lectures n. 528, Springer-Verlag, Vienna, pp. 111–149.
Tadmor, G., Lehmann, O., Noack, B. R. & Morzyński, M. 2011 Galerkin model enhancements for flow control. Chapter in Noack, B. R., Morzyński, M., & Tadmor, G. (eds.) 2011 Reduced-Order Modelling for Flow Control. CISM Courses and Lectures n. 528, Springer-Verlag, Vienna, pp. 151–252.
Kasten, J., Hotz, I., Noack, B. R. & Hege, H.-C. 2011 On the extraction of long-living features in unsteady fluid flows. In Pascucci, V., Trichoche X., Hagen, H. & Julien T. (eds): Topological Methods in Data Analysis and Visualization. Theory, Algorithms, and Applications. Series Mathematics and Visualization, Springer-Verlag, pp. 115–125.
Morzyński, M., Stankiewicz, W., Thiele, F., Noack, B. R. & Tadmor, G. 2010 Turbulent Flow Modeling via Galerkin Method and Finite Time Thermodynamics. In S.-H. Peng, P. Doerffer & W. Haase, Progress in Hybrid RANS-LES Modelling, Notes on Numerical Fluid Mechanics and Multidisciplinary Design 111, Springer-Verlag, Berlin, pp. 357–358.
John, C., Noack, B. R., Schlegel, M., Troltzsch, F. & Wachsmuth, D. 2010 Optimal boundary control problems related to high lift configurations. In King, R. (ed.), Active Flow Control II: Papers contributed to the Conference” Active Flow Control 2010”, Berlin, Germany, May 26–28, 2010. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Vol. 108, Springer-Verlag Berlin, pp. 405–419.
Kasten, J., Weinkauf, T., Petz, C., Hotz, I., Noack, B. R. & Hege, H.-C. 2010 Extraction of coherent structures from natural and actuated flows. In King, R. (ed.), Active Flow Control II: Papers contributed to the Conference” Active Flow Control 2010”, Berlin, Germany, May 26–28, 2010. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Vol. 108, Springer-Verlag Berlin, pp. 373–387.
Lacarelle, A., Moeck, J. P., Paschereit, C. O., Gelbert, G., King, R., Luchtenburg, D. M., Noack, B. R., Kasten, J. & Hege, H.-C. 2010 Modeling the fuel/air mixing to control the pressure pulsations and NOx emissions in a lean premixed combustor. In King, R. (ed.), Active Flow Control II: Papers contributed to the Conference \

研究领域

""

近期论文

Refereed journal publications
M. Albers, P. S Meysonnat, D. Fernex, R. Semann, B. R. Noack & W. Schroder. Drag reduction and energy savings by spanwise travelling transversal surface waves for flat plate flow. Flow, Turbu.,Combust., 105:125–157, 2020. ISSN 15731987,13866184.33 pages.
S. L. Brunton, B. R. Noack & P. Koumoutsakos. Machine learning for fluid mechanics. Ann. Rev. Fluid Mech., 52:477–508, 2020. ISSN 15454479,00664189. 32 pages.
G. Y. Cornejo Maceda, F. Lusseyran & B. R. Noack. Taming non-linear dynamics and turbulence with machine learning control. ERCIM News, 122:32–33, 2020. ISSN 0926-4981.
N. Deng, B. R. Noack, M. Morzynski & L. R. Pastur. Low-order model for successive bifurcations of the fluidic pinball. J. Fluid Mech., 884: A37:1–39, 2020. ISSN 0022-1120. 39 pages.
N. Deng, L. R. Pastur & B. R. Noack. Low-dimensional flow models from high-dimensional flow data with machine learning and first principles. ERCIM News, 122:30–31, 2020. ISSN 0926-4981.
D. Fan, Y. Zhou & B. R. Noack. Fast triple-parameter extremum seeking exemplified for jet control. Exp. Fluids, 61:152:1–13, 2020. ISSN 14321114, 07234864. 13 pages.
Zhang B. Zhou Y. Fan, D. & B. R. Noack. Optimization and sensitivity analysis of active drag reduction of a square-back ahmed body using machine learning control. Phys. Fluids., 32:125117:1–18, 2020. ISSN 1070- 6631.
D. Fernex, R. Semann, M. Albers, P. S Meysonnat, W. Schr¨oder, and B. R. Noack. Actuation response model from sparse data for wall turbulence drag reduction. Phys. Rev. Fluids, 5(7):073901:1–18, 2020. ISSN 2469- 990X.18 pages.
M. Lennie, J. Steenbuck, B. R. Noack & C. O. Paschereit. Cartographing dynamic stall with machine learning. Wind Energy Science, 5:819–838, 2020. ISSN 1095-4244.
H. Li, J. Tan, Z. Gao & B. R. Noack. Machine learning open-loop control of a mixing layer. Phys. Fluids, 32:111701:1–7, 2020. ISSN 1070-6631. 7 pages.
H. Li, D. Fernex, J. Tan, M. Morzyn′ski, and B. R. Noack. Cluster-based network model. J. Fluid Mech., 906:A21:1–41, 2021. ISSN 0022-1120. 41 pages.
G. Minelli, T. Dong, B. R. Noack, and S. Krajnovi′c. Upstream actuation for bluff-body wake control driven by a genetically inspired optimization. J. Fluid Mech., 893:A1:1–29, 2020. ISSN 0022-1120.29 pages.
C. Raibaudo, P. Zhong, B. R. Noack & R. J. Martinuzzi. Machine learning strategies applied to the control of a fluidic pinball. Phys. Fluids, 32:015108:1–13, 2020. ISSN 1070-6631. 13 pages.
J. Tan, H. Li & B. R. Noack. On the cavity-actuated supersonic mixing layer downstream a thick splitter plate. Phys. Fluids, 32(9):096102: 1–24, 2020. ISSN 1070-6631. 24 pages.
Q. Zheng, J. Wang, B. R. Noack, H. Li, M. Wan & S. Chen. Vibrational relaxation in compressible isotropic turbulence with thermal non-equilibrium. Phys. Rev. Fluids, 5:044602:1–31, 2020. ISSN 2469- 990X. 31 pages.
Y. Zhou, Fan D., B. Zhang, R. Li & B. R. Noack. Artificial intelligence control of a turbulent jet. J. Fluid Mech., 897:A27:1–46, 2020. ISSN 0022- 1120. 46 pages.
Albers, M., Meysonnat, P.S., Fernex, D., Semaan, R., Noack, B. R. & Schroeder, W. 2020 Drag reduction and energy savings by spanwise travelling transversal surface waves for flat plate flow. Flow, Turbul., Combust. (online http://link.springer.com/article/10.1007/s10494-020-00110-8)
Deng, N., Morzyński, M., Noack, B. R. & Pastur, L. R. 2020 Low-order model for successive bifurcations of the fluidic pinball. J. Fluid Mech. 884, A37.
Fan, D., Zhou, Y. & Noack, B. R. 2020 Fast triple-parameter extremum seeking exemplified for jet control. Exp. Fluids.61(152):1--13,2020-06-12
Minelli, G., Dong, T. Noack, B. R. & Krajnovic, S. 2020 Upstream actuation for bluff body wake control driven by a genetically inspired optimization. J. Fluid Mech. 893.
Raibaudo, C., Zhong, P., Noack, B. R. & Martinuzzi, R. J. 2020 Machine learning strategies applied to the control of a fluidic pinball. Phys. Fluids 32, article 015108.
Zheng, Q., Wang, J., Noack, B. R., Li, H., Wan, M. & Chen, S. 2020 Vibrational relaxation in compressible isotropic turbulence with thermal non-equilibrium. Phys. Rev. Fluids.5(044602):1--31
Albers, M., Meysonnat, P. S., Fernex, D., Semaan, R., Noack, B. R. & Schroeder, W. 2019 Parameter study of turbulent drag reduction by spanwise traveling transversal surface waves. Proc. Appl. Math. Mech., 19(1), article e201900178, 1–2.
Cornejo Maceda, G. Y., Noack B. R., Lusseyran, F., Deng, N., Pastur, L. & Morzyński, M. 2019 Artificial intelligence control applied to drag reduction of the fluidic pinball, Proc. Appl. Math. Mech. 19(1), article e201900268, 1–2.
Fernex, D., Semaan, R., Albers, M., Meysonnat, P. S., Schroeder, W., Ishar, R., Kaiser, E. and & Noack B. R. 2019 Cluster-based network model for drag reduction mechanisms of an actuated turbulent boundary layer. Proc. Appl. Math. Mech. 19(1), article e201900219, 1–2.
Ishar, R., Kaiser, E., Morzyński, M., Fernex, D., Semaan, R., Albers, M., Meysonnet, P., Schroeder, W. & Noack, B. R. 2019 Metric for attractor overlap. J. Fluid Mech. 874, 720–755.
Lennie, M., Steenbuck, J., Noack, B. R. & Paschereit, C. O. 2019 Cartographing dynamic stall with machine learning. Wind Energy Science Journal ,online,5:819--838.
Li, R., Borée, J., Noack, B. R., Cordier, L. & Harambat, F. 2019 Drag reduction mechanisms of a car model at moderate yaw by bi-frequency forcing. Phys. Rev. Fluids. 4 (3), article 034604.
Nair, A., Yeh, C.-A., Kaiser, E., Noack, B. R., Brunton, S. L. and Tiara, K. 2019 Cluster-based feedback control of turbulent post-stall separated flows. J. Fluid Mech. 875, 345–375.
Shaqarin, T., Al-Rawajfeh, A., Alshabatat, N. & Noack, B. R. 2019 control of a granulation process using Smith predictor. Journal of Process Control 77, 38–47.X
Li, R., Noack, B. R., Cordier, L., Borée, J., Kaiser, E. & Harambat, F. 2018 Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk. Archives of Mechanics 70 (6), 505-534.
Loiseau, J.-Ch., Noack, B. R. & Brunton, S. L. 2018 Sparse reduced-order modeling: Sensor-based dynamics to full-state estimation. J. Fluid Mech. 844, 459-490.
Shaqarin, T., Noack, B. R. & Morzyński, M. 2018 The need for prediction in feedback control of a mixing layer. Fluid Dyn. Res. 50 (6), article 065514, 1–22.
Wu, Z., Fan, D., Zhou, Y., Li, R. & Noack, B. R. 2018 Jet mixing enhancement using machine learning control. Exp. Fluids 59 (8), article 131, 1–17.
Barros, D., Borée, Cadot, O., Spohn, A. & Noack, B. R. 2017 Forcing symmetry exchanges and flow reversals in turbulent wakes. J. Fluid Mech.–Rapids 829, R1–10.
Kaiser, E., Noack, B. R., Spohn, A., Cattafesta, L. N. & Morzyński, M. 2017 Cluster-based control of nonlinear dynamics. Theor. Comput. Fluid Dyn. 31 (5-6), 579–593.
Li, R., Noack, B. R., Cordier, L., Borée, J. & Harambat, F. 2017 Drag reduction of a car model by linear genetic programming control. Exp. Fluids 58, article 103:1–20.
Stankiewicz, W., Morzynski, Kotecki, K. & Noack, B. R. 2017 On the need of mode interpolation for data-driven Galerkin models of a transient flow around a sphere. Theor. Comput. Fluid Dyn. 31 (2), 111–126.
Barros, D., Borée, J., Noack, B. R. & Spohn, A. 2016 Resonances in the forced turbulent wake past a 3D blunt body. Physics of Fluids 28 (6), article 065104, 1–12.
Barros, D., Borée, J., Noack, B. R., Spohn, A. & Ruiz, T. 2016 Bluff body drag manipulation using pulsed jets and Coanda effect. J. Fluid Mech. 805, 422–459.
Debien, A., von Krbek, K. A. F. F., Mazellier, N., Duriez, T., Cordier, L., Noack, B. R., Abel, M. W. & Kourta, A. 2016 Closed-loop separation control over a sharp-edge ramp using genetic programming. Exp. Fluids 57 (3), article 40, 1–19.
Hosseini, Z., Noack, B. R. & Martinuzzi, R. J. 2016 Modal energy flow analysis of a highly modulated wake behind a wall-mounted pyramid. J. Fluid Mech. 798, 717-750.
Kasten, J., Reininghaus, J., Hotz, I., Hege, H.-C., Noack, B. R., Daviller, G., Comte, P. & Morzyński, M. 2016 Acceleration feature points of unsteady shear flows. Arch. Mech. 68 (1), 55–80.
Li, R., Barros, D., Borée, J., Cadot, O., Noack, B. R. & Cordier, L. 2016 Feedback control of bi-modal wake dynamics. Exp. Fluids 57 (10), article 158, 1–6.
Minelli, G., Krajnovic, S., Noack, B. R. & Basara, B. 2016. Active flow control of a frontstep with a rounded leading edge. Flow, Turbulence and Combustion 97 (4), 1235–1254.
Niven, R. K., Noack, B. R., Kaiser, E., Cattafesta, L., Cordier, L. & Abel, M. W. 2016 Bayesian cyclic networks, mutual information and reduced-order Bayesian inference (Invited). AIP Conference Proceedings 1757, article 020008, 1-9.
Noack, B. R., Stankiewicz, W., Morzyński & Schmid, P. J. 2016 Recursive dynamic mode decomposition of a transient cylinder wake. J. Fluid Mech. 809, 843–872.
Noack, B. R. 2016 From snapshots to modal expansions – bridging low residuals and pure frequencies. J. Fluid Mech. – Focus on Fluids 802, 1–4.
Parezanovic, V., Cordier, L., Duriez, T., Spohn A., Noack, B. R., Bonnet, J.-P., Segond, M., Abel, M. W., & Brunton, S. L. 2016 Frequency selection by feedback control of a turbulent shear-flow. J. Fluid Mech. 797, 247–283.
Quade, M., Abel, M., Shafi, K., Niven. R. K. & Noack, B. R. 2016 Prediction of dynamical systems by symbolic regression. Phys. Rev. E. 94, article 012214, 1–15.
Semaan, R., Kumar, P., Burnazzi, M., Tissot, G., Cordier, L. & Noack, B. R. 2016 Reduced-order modeling of the flow around a high-lift configuration with unsteady Coanda blowing. J. Fluid Mech. 800, 72–110.
Stefanescu, R., Noack, B. R. & Sandu, A. 2016 ’Model Reduction and Inverse Problems and Data Assimilation with Geophysical Applications’. Preface for the special issue of the in honor of I. Michael Navon’s 75th birtdhay. Int. J. Numer. Meth. Fluids 82 (1), 625–630.
Berger, Z. P., Shear, P. R., Matthew, G. B., Noack, B. R., Gogineni, S. & Glauser M. N. 2015 Active Flow Control for High Speed Jets with Large Window PIV. Journal Flow, Turbulence and Combustion 94 (1), 97–123. Invited contribution for the Special issue with the proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP8) edited by Bonnet, J.-P.
Gautier, N., Aider, J.-L., Duriez, T., Noack, B. R., Segond, M. & Abel, M. W. 2015 Closed-loop separation control using machine learning. J. Fluid Mech. 770, 424–441.
Hosseini, Z., Martinuzzi, R. J. & Noack, B. R. 2015 Sensor-based estimation of the velocity in the wake of a low-aspect-ratio pyramid. Exp. Fluids 56, article 13, 1–16.
Oesth, J., Kaiser, E., Krajnovic, S. & Noack, B. R. 2015. Cluster-based reduced-order modelling of the flow in the wake of a high speed train. J. Wind Engrng. & Ind. Aerodyn. 145, 327–338.
Parezanovic, V., Laurentie, J.-C., Duriez, T., Fourment, C., Delville, J., Bonnet, J.-P., Cordier, L., Noack, B. R., Segond, M., Abel, M., Shaqarin, T. & Brunton, S. L. 2015 Mixing layer manipulation experiment – from periodic forcing to machine learning closed-loop control. Flow, Turbul., Combust. 94 (1), 155–173. Invited contribution in the special issue with the proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP8) edited by Bonnet, J.-P.
Protas, B., Noack, B. R. & Oesth, J. 2015 Optimal nonlinear eddy viscosity in Galerkin models of turbulent flows. J. Fluid Mech. 766, 336–367.
Schlegel, M. & Noack, B. R. 2015 On long-term boundedness of Galerkin models. J. Fluid Mech. 765, 325–352.
Tissot, G., Cordier, L. & Noack B.R. 2015 Feedback stabilization of an oscillating vertical cylinder by POD Reduced-Order Model. J. Phys.: Conf. Ser. 574, article 012137, 1–4.
Barros, D., Ruiz, T., Borée, J., & Noack, B. R. 2014 Control of a three-dimensional blunt body wake using low and high frequency pulsed jets. International Journal of Flow Control 6 (1), 61–76.
Cao, Y., Kaiser, E., Boree, J., Noack, B. R., Thomas, L. & Guilan, S. 2014 Cluster-based analysis of Cycle-to-Cycle Variations. Application to internal combustion engines. Exp. Fluids 55 (12), article 1837, 1–8.
Kaiser, E., Noack, B. R., Cordier, L., Spohn, A., Segond, M., Abel, M. W., Daviller, G., Oesth, J., Krajnovic, S. & Niven, R. K. 2014 Cluster-based reduced-order modelling of a mixing layer. J. Fluid Mech. 754, 365–414.
Shaqarin, T., Alshabatat, N., & Noack, B. R. 2014 Stabilization of strange attractors by feedback linearization. Research Journal of Applied Sciences, Engineering and Technology 8 (1), 43–47.
Oesth, J., Noack, B. R., Krajnovic, S., Barros, D. & Borée, J. 2014. On the need for a nonlinear subscale turbulence term in POD models as exemplified for a high Reynolds number flow over an Ahmed body. J. Fluid Mech. 747, 518–544.
Protas, B., Noack, B. R. & Morzyński, M. 2014 An optimal model identification for oscillatory dynamics with a stable limit cycle. J. Nonlinear Science 24 (2), 245–275.
Tissot, G., Lozano-Durán, A., Cordier, L., Jiménez, J. & Noack B.R. 2014 Granger causality in wall-bounded turbulence. J. Phys.: Conf. Ser. 506, article 012006, 1-14. Invited contribution to the special issue by J. Jimenez, 1st Multiflow Summer Workshop 10 June to 12 July 2013, Madrid, Spain.
Tissot, G., Cordier, L., Benard, M. & Noack B.R. 2014 Model reduction using Dynamic Mode Decomposition. C. R. Mecanique 342, 410–416.
Balajewicz, M., Dowell, E. H. & Noack, B. R. 2013 Low-dimensional modelling of high-Reynolds-number shear flows incorporating constraints from the Navier-Stokes equation. J. Fluid Mech. 729, 285–308.
Bourgeois, J. A., Noack, B. R. & Martinuzzi, R. J. 2013 Generalised phase average with applications to sensor-based flow estimation of the wall-mounted square cylinder wake. J. Fluid Mech. 736, 316–350.
Refereed conference proceedings
Y. El-Sayed, N. Gomes de Paula, B. Genest, R. Semaan, J. Radespiel, R., Petersen, C. Behr, P. Wierach and B. R. Noack. Active flow control with unsteady coanda actuation on a high-lift configuration. In 2020 AIAA SciTech Forum, Orlando, America, 2020. Paper 3684.
D. Fernex, R. Semaan, and B. R. Noack. Generalized cluster-based network model for an actuated turbulent boundary layer. In 2021 AIAA SciTech Forum, Nashville, TN, America, 2021. Paper.
D. Fernex, A. Weiner, B. R. Noack, and R. Semaan. Sparse spatial sampling: A mesh sampling algorithm for efficient processing of big simulation data. In 2021 AIAA SciTech Forum, Nashville, TN, America, 2021. SCI, EI, Paper 3684.
R. Niven, L. Cordier, E. Kaiser, M. Schlegel, and B. R. Noack. New conservation laws based on generalised reynolds transport theorems. In Australasian Fluid Mechanics Conference (AFMC 2020), Brisbande, Australia, 2020. ISBN 9781742723419. URL https://doi.org/10.14264/380a993. SCI, EI.
Z. Wu, D. Fan, A. K. Perumal, B. R. Noack, and Y. Zhou. Reynolds number effect on jet manipulation and its scaling. In Proceedings of the 22nd Australasian Fluid Mechanics Conference (AFMC), Chicago, America, 2020. SCI, EI, 1-4 page.
Cornejo MAceda, G. Y., Noack, B. R., Lusseyran, F., Deng, N., Pastur, L. & Morzyński, M. 2019 Apprentissage automatique de lois de control de écoulement par programmation génétique. Paper at 24éme Congrés Francais de Mécanique, Brest 26–30 August 2019 (accepted).
Deng, N., Pastur, L. R., Noack, B. R., Cornejo-Maceda, G., Lusseyran, F., Loiseau, J.-C. & Morzyński, M. 2019 Dynamiques transitoires du sillage en << pinball fluidique >>. Paper, 22m Recontre du Non Linéare, Paris, France, Pages 1–6.
Oswald, P., Semaan, R. & Noack, B. R. 2019 Open- and closed loop control on a D-shaped bluff body equipped with Coanda actuation. Paper, Proceedings of the 2019 AIAA Aviation and Aeronautics Forum and Exposition, Dallas, USA.
Fan, D., Zhou, Y. & Noack, B. R. 2019 Artificial intelligence control of turbulence (Plenary). Paper, 5th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC). Minoa Palace - Resort, Chania, Crete island, Greece.
Fan, D., Zhou, Y. & Noack, B. R. 2019 Triple-input/single-output extremum-seeking control system for jet mixing optimization. Paper 117, 5th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC). Minoa Palace - Resort, Chania, Crete island, Greece.
Fan, D., Zhou, Y. & Noack, B. R. 2017 Artificial ontelligence control of a turbulent jet. Paper in the Proceedings of the 11th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-10), Southampton, UK.
Feng, Y., Fan, D., Noack, B.R., Hu, H. & Zhou, Y. 2019 Large-eddy simulation on jet mixing enhancement using unsteady minijets. Paper 112, 5th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC). Minoa Palace - Resort, Chania, Crete island, Greece.
Shaqarin, T., Oswald, P., Semaan, R. & Noack, B. R. 2019 Closed-loop drag reduction over a D-shaped body via Coanda actuation. Paper 88, 5th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC). Minoa Palace - Resort, Chania, Crete island, Greece.
Tokarev, M., Minelli, G., Zhang, J., Noack, B. R., Chernoray, V. & Krajnovic, S. 2019 PIV measurements around a generic truck model in active flow control experiments. Paper, 13th International Symposium on Particle Image Velocimetry—ISPIV 2019, Munich, Germany.
Pastur, L. R., Deng, N., Morzyński, M. & Noack, B. R. 2019 Reduced-order modeling of the fluidic pinball. In Skiadas, C. H. & Lubashevsky, I. (eds 11th Chaos Conference Proceedings, Springer Proceedings in Complexity, Pages 205–214.
El-Sayed, Y., Oswald, P., Sattler, S., Pradeep, K., Radespiel, R., Behr, C., Sinapius, M., Petersen, J., Wierach, P., Quade, M., Abel, M., Noack, B. R. & Semaan, R. 2018 Open- and closed-loop control investigations of unsteady Coanda actuation on a high-lift configuration. Paper 3684, Proceedings of the AIAA Aviation, Atlanta, Georgia, USA. Pages 1–13.
Deng, N., Pastur, L. R., Morzyński, M. & Noack, B. R. 2018 Route to chaos in the fluidic pinball. Paper FEDSM2018–83359, Proceedings of the ASME 2018 5th Joint US-European Fluids Engineering Summer Conference, Montreal, Quebec, Canada. Pages 1–8.
Fan, D., Zhou, Y. & Noack, B. R. 2018 Artificial intelligence control of a turbulence jet. Paper, Proceedings of the 21st Australasian Fluid Mechanics Conference (AFMC), Adelaide, Australia. Pages 1–4.
Li, R., Borée, J. Noack, B. R., Cordier, L., & Harambat, F. 2018 Drag reduction of a yawed car model by combining fluidic flaps and turbulence control. Paper, 19th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics, Lisbon, Portugal. Pages 1–29.
Barros, D., Borée, J., Spohn, A. & Noack, B. R. 2017 Perturbing shear layers in a turbulent wake. Paper in the Proceedings of the 10th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-10), Chicago, IL, USA
Chovet, C., Keirsbulck, L., Noack, B. R., Lippert, M. & Foucaut, J.-M. 2017 Machine learning control for experimental turbulent flow targeting the reduction of a recirculation bubble. Paper ASME FEDSM2017-69272 at the ASME Fluids Engineering Division Summer Meeting (FEDSM), Waikoloa, Hawaii, USA.
Chovet, C., Keirsbulck, L., Noack, B. R., Lippert, M. & Foucaut, J.-M. 2017 Machine learning control for experimental shear flows targeting the reduction of a recirculation bubble. Paper, Proceedings of the The 20th World Congress of the International Federation of Automatic Control (IFAC), Toulouse, France. IFAC-PapersOnLine 50 (1), pages 12307-12311.
Ferrari, S., Hu, Y., Martinuzzi, R. J., Kaiser, E., Noack, B. R., Oesth, J. & Krajnovic, S. 2017 Visualizing vortex clusters in the wake of a high-speed train. Paper, IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2017), pages 683–688, Banff, AB, Canada
Kaiser, E., Li, R. & Noack, B. R. 2017 On the control landscape topology. Paper, Proceedings of the The 20th World Congress of the International Federation of Automatic Control, Toulouse, France.
Li, R., Noack, B. R., Cordier, L., Borée, J. & Harambat, F. 2017 Machine learning control of the turbulent wake past 3D bluff body. Paper, 52nd International Symposium of Applied Aerodynamics, Lyon, France.
Li, R., Noack, B. R., Cordier, L., Borée & Harambat, F. 2017 Machine learning control for drag reduction of a car model in experiment. Paper, The 20th World Congress of the International Federation of Automatic Control, Toulouse, France.
Loiseau, J.-C., Deng, N., Pastur, L., Morzyński, M., Noack, B. R. & Brunton, S. L. 2017 Sparse reduced-order modeling of the fluidic pinball. Conference Proceedings, 4th GDR Symposium ”Contr？le Des Décollements”, Orléans, France.
Pivot, C., Mathelin, L., Cordier, L. & Noack, B. R. 2017 Reinforcement Learning strategies for closed-loop control in fluid dynamics. Paper, 52nd International Symposium of Applied Aerodynamics, Lyon, France.
Pivot, C., Mathelin, L., Cordier, L., Guéniat, F. & Noack, B. R. 2017 A continuous reinforcement learning strategy for closed-loop control in fluid dynamics. Paper 2017-3566, Proceedings of the 35th AIAA Applied Aerodynamiccs Conference, Denver, CO, USA.
Raibaudo, C., Zhong, P., Martinuzzi, R. J. & Noack, B. R. 2017 Closed-loop control of a triangular bluff body using rotating cylinders. Paper, Proceedings of the The 20th World Congress of the International Federation of Automatic Control (IFAC), Toulouse, France. IFAC-PapersOnLine 50 (1), Pages 12291–12295.
Herouard, N., Niven, R. K. & Noack, B. R. 2016 Maximum entropy closure of Galerkin POD models. Paper, 20th Australiasian Fluid Mechanics Conference (AFMC), The University of Western Australia, Perth.
Hosseini, Z., Noack, B. R. & Martinuzzi, R. J. 2015 Sensor-based estimation of the highly modulated wake behind a wall-mounted pyramid. Paper in the Proceedings of the 9th International Symposium On Turbulent and Shear Flow Phenomena (TSFP9), The University of Melbourne, Australia.
Barros, D., Borée, J, Noack, B. R., Spohn, A. & Ruiz, T. 2015 Drag reduction of a blunt body by unsteady shear layer forcig and Coanda blowing. Paper, 22ème Congrès Francais de Mécanique, Lyon, France.
Tissot, G., Cordier, L. & Noack, B. R. 2015 4D-Var identification of DMD reduced-order models. Paper, 22ème Congrès Francais de Mécanique, Lyon, France.
Kaiser, E., Noack, B. R., Cordier, L., Spohn, A., Segond, M., Abel, M., Daviller, G., Morzymski, M., Oesth, J., Krajnovic, S., & Niven, R. K. 2015 Cluster-based reduced-order modelling of shear flows. Proceedings of the 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015). AIP Publishing 1636, 151–158.
Niven, R. K., Abel, M. W., Waldrip, S. H., Schlegel, M. & Noack, B. R. 2015 Maximum entropy analysis of flow networks with graphical constraints. Proceedings of the 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015), Clarkson University, USA.
Niven, R. K., Noack, B. R., Kaiser, E., Cattafesta, L., Cordier, L. & Abel, M. W. 2015 Bayesian cyclic networks, mutual information and reduced-order Bayesian inference. Proceedings of the 35th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2015), Clarkson University, USA.
Tissot, G., Cordier, L. & Noack, B. R. 2015 Feedback stabilization of an oscillating vertical cylinder by POD reduced-order model. Paper, 22ème Congrès Francais de Mécanique, Lyon, France.
Berger, Z. P., Berry, M. G., Shea, P., Glauser, M., Jiang, N., Goginemi, S., Kiel, B., Kaiser, E., Noack, B.R., Spohn, A. 2014 Analysis of High Speed Jet Flow Physics with Time-Resolved PIV (Invited). Technical Paper, AIAA Science and Technology Forum and Exposition 2014. National Harbor, MD, USA, 13-17 Jan. 2014.
Duriez, T., Parezanovic, V., Laurentie, J.-C., Fourment, C., Delville, J., Bonnet, J.-P., Cordier, L., Noack, B. R., Segond, M., Abel, M. W., Gautier, N., Aider, J.-L., Raibaudo, C., Cuvier, C., Stanislas, M. & Brunton, S. 2014 Closed-loop control of experimental shear layers using machine learning (Invited). Paper in the proceedings of the 7th AIAA Flow Control Conference, Atlanta, Georgia, USA.
Tissot, G., Cordier, L., & Noack B.R. 2014 Feedback stabilization of an oscillating vertical cylinder by POD reduced-order model. Proc. Appl. Math. Mech. 14 (1), 729–730. Special Issue: 85th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Erlangen 2014; Editors: P. Steinmann and G. Leugering.
Berger, Z. P., Berry, M., Shea, P., Noack, B. R., Goginemi, S. & Glauser, M. 2013 Active flow control for high speed jets using advanced modelling coupled with PIV. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.), Poitiers, France.
Bourgeois, J. A., Noack, B. R. & Martinuzzi, R. J. 2013 Generalised phase averaging for experimental surface-mounted body wake measurements: 3D coherent structures and dynamical models. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.). Poitiers, France.
Kaiser, E., Spohn, A., Cordier, L. & Noack, B. R. 2013 Local forcing of laminar separation bubbles. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.). Poitiers, France.
Niven, R. K. & Noack, B. R. 2013 Minimum flow potential (Massieu function) in flow systems and connection to entropy production extrema. Paper in Proceedings of the 12th Joint European Thermodynamics Conference (JETC 2013), Bescia, Italy.
Oesth, J., Krajnovic, S., Barros, D., Cordier, L., Noack, B. R., Borèe, J. & Ruiz, T. 2013 Active flow control for drag reduction of vehicles using large eddy simulation, experimental investigations and reduced-order modeling. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.), Poitiers, France.
Parezanovic, V., Laurentie, J.-C., Fourment, C., Cordier, L., Noack, B. R. & Shaqarin, T. 2013 Modification of global properties of a mixing layer by open/closed loop actuation. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.). Poitiers, France.
Tissot, G., Cordier, L., Benard, N. & Noack, B. R. 2013 Model reduction using dynamic mode decomposition. In Kourta, A, Separated flow control and aerodynamic performance improvements (3rd GDR ”Separation Flow Control” Symposium). pages 153–161.
Tissot, G., Cordier, L., Benard, N. & Noack, B. R. 2013 Dynamic mode decomposition of PIV measurements for cylinder wake flow in turbulent regime. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.), Poitiers, France.
Tissot, G., Cordier, L., Benard, N. & Noack, B. R. 2013 4D-variational data assimilation for POD reduced-order models. Paper in the Proceedings of the 8th International Symposium On Turbulent and Shear Flow Phenomena (TSFP-8) (editors: Bonnet, J.-P., Sung, H.J., Vervisch, L. & Hanjalic, K.), Poitiers, France.
Benard, N., Sujar-Garrido, P., Parezanovic, V., Laurentie, J.-C., Noack, B. R., Bonnet, J.-P. & Moreau, E. 2012 Modifications of Reynols stresses by localized unsteady forcing. Proceedings of the EASN Workshop on Flight Physics and Propulsion, pp. 1–12.
Berger, Z.P., Low, K.L., Glauser, M. N., Kostka, S., Gogineni, S., Noack, B. R. & Cordier, L. 2012 Reduced order models for a high speed jet with time-resolved PIV. Paper at the AIAA ASM13 Internoise.
Kasten, J., Hotz, I., Noack, B. R. & Hege, H.-C. 2012 Vortex merge graphs in two-dimensional unsteady flow fields. Best short paper in Meyer, M. & Weinkauf, T., Eurographics Conference on Visualization (EuroVis 2012), Vienna, Austria.
Morzyński, M., Stankiewicz, W., Thiele, F., Noack, B. R. & Tadmor, G. 2012 Global stability analysis — a key enabler in reduced-order models and flow control. In Reijasse, P., Knight, D., Ivanov, M., & Lipatov, I. (eds.), ’Progress in Flight Physics, Volume 3’, pp. 491–502, EUCASS book series ’Advances in Aerospace Sciences’, Torus Press, Moscow.
Tissot, G., Cordier, L. & Noack, B. R. 2012 4D-variational data assimilation using POD reduced-order model. Paper of Conference on Modelling Fluid Flow (CMFF12), The 15th International Conference on Fluid Flow Technologies, Budapest, Hungary,
Tissot, G., Cordier, L. & Noack, B. R. 2012 Dynamic Mode Decomposition of PIV measurements for the cylinder wake in turbulent regime. Paper of Conference on Modelling Fluid Flow (CMFFa€？12), The 15th International Conference on Fluid Flow Technologies, Budapest, Hungary.
Tissot, G., Cordier, L. & Noack, B. R. 2012 4D-variational data assimilation using POD Reduced-Order Models. Paper of 47th International Symposium of Applied Aerodynamics. Wind tunnel and computation: a joint strategy for flow prediction, Association Aérodynamique Astronautique de France (3AF), Paris, France.
Tissot, G., Cordier, L. & Noack, B. R. 2012 Dynamic Mode Decomposition of PIV measurements for the cylinder wake flow in turbulent regime. Paper of 47th International Symposium of Applied Aerodynamics. Wind tunnel and computation: a joint strategy for flow prediction, Association Aérodynamique Astronautique de France (3AF), Paris, France.
Cordier, L., Bénard, N. & Noack, B. R. 2011 Analyse de Koopman d’un écoulement de sillage control par plasma. Paper of 20ème Congrès Francais de Mécanique, Besancon, France.
Stankiewicz, W., Roszak, R., Morzyński, M., Noack, B. R. & Tadmor, G. 2011 Continuous mode interpolation between multiple operating conditions for reduced-order modelling of the flow. Paper, International Conference on Numerical Analysis and Applied Mathematics (ICNAAM 2011), Vols. A–C, pp. 1389. Melville, NY, USA: American Institute of Physics.
Tissot, G., Cordier, L. & Noack, B. R. 2011 Solving a Variational Data Assimilation Problem using a Trust-Region Adaptive Method (french: Résolution d’un problème d’assimilation variationnelle 4D-VAR par des modèles réduits POD adaptatifs). Paper of 20ème Congrès Francais de Mécanique, Besancon, France.
Aleksic, K., Luchtenburg, D. M., King, R., Noack, B. R. & Pfeiffer, J. 2010 Robust nonlinear control versus linear model predictive control of a bluff body wake. AIAA paper 2010-4833, 5th Flow Control Conference, Chicago, IL, USA, 18 pages.
Ahlborn, B., Curzon, F., Noack, B. R., Schlegel, M. & Tadmor, G. 2009 Thermodynamics of Turbulence (Invited talk). Joint European Thermodynamics Conference X, Copenhagen, Denmark.
Kasten, J., Petz, C., Hotz, I., Noack, B. R. & Hege, H.-C. 2009 Localized finite-time Lyapunov exponent for unsteady flow analysis. In Magnor, M., Rosenhahn, B., Theisel, H. (eds.), Proc. Vision Modeling and Visualization (VMV), Univ. Magdeburg, Institut für Simulation und Graphik, Germany (ISBN-13: 978-3980487481), pp. 265–274,
Siauw, W. L., Bonnet, J.-P., Tensi, J., Cordier, L. Noack, B. R., & Cattafesta, L. III 2009 Transient dynamics of the flow around a NACA0015 airfoil using fluid vortex generators. Paper in the Proceedings of the The Sixth International Symposium on Turbulence and Shear Flow Phenomena (TSFP-6). Seoul National University, Seoul, Korea.
Tadmor, G., Noack, B. R., Schlegel, M., Morzyński, M. & Kelley, S. 2009 Mean field models and finite-time thermodynamics: A unified framework for low order, multi-scale Galerkin models of fluid flows. Joint European Thermodynamics Conference X, Copenhagen, Denmark.
Wiederhold, O., King, R., Noack, B. R., Neuhaus, L., Neise, W., Enghard, L. & Swoboda, M. 2008 Extensions of extremum-seeking control to improve the aerodynamic performance of axial turbomachines. AIAA-Paper 092407, 39th AIAA Fluid Dynamics Conference, San Antonio, TX, USA.
Aleksic, K, King, R., Noack, B. R., Lehmann, O., Morzyński, M. & Tadmor, G. 2008 Nonlinear model predictive control based on a low dimensional model of fluid flow. Paper at the 2nd International Conference on Jets, Wakes and Separated Flows, Berlin, Germany.
King, R., Aleksic, K., Gelbert, G., Losse, N., Muminovic, R., Brunn, A., Nitsche, W., Bothien, M.R., Moeck, J.P., Paschereit, C.O., Noack, B.R. Rist, U. & Zengl, M. 2008 Model predictive flow control — invited paper. AIAA-Paper 2008-3975, 4th AIAA Flow Control Conference, Seattle, WA, USA.
Lacarelle, A., Faustmann, T., Greenblatt, D, Paschereit, C. O., Luchtenburg, M. & Noack, B. R. 2008 Spatio-temporal characterization of a conical swirler flow field under strong forcing. Paper GT2008-50970, Proceedings of ASME Turbo Expo 2008: Power for Land, Sea and Air, Berlin, Germany.