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Institute of Bioengineering

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Dr Jens Mueller

Reader in Computational Fluid Dynamics and Optimisation

Department School of Engineering and Materials Science

IoB Highlights

Simulation with fluids: Fluid-structure interaction, shape optimisation

Key strengths, technologies, know-how

  • Computational Fluid dynamics
  • Simulation of vascular flows
  • Fluid-structure interaction
  • Numerical shape optimisation
  • Optimal design


  • Simulation of vascular flows
  • Aneurysmal flow and rupture
  • Heart valves, distensive vessel walls
  • Interaction flow-device
  • Optimal design of devices
  • Sensitivity analysis for parameter
  • Determination, data assimilation

Selective research achievements

  • Number of papers = >30
  • Main Grants = FlowHead (FP6), About Flow (FP 7), IODA (H2020)
  • Industrial links = Rolls Royce, ESI, VW, FE-Design/Simulia

Research Interests

1996: MSc, PhD in Aerospace Engineering, University of Michgan, Ann Arbor, MI, USA
1990: Diploma, Aerospace Engineering, Von Karman Institute, Sint-Genesisius Rode, Belgium
1989: Dipl-Ing Mechanical Engineering (Specialisation in Theory and Research), Technical University of Munich, Germany

Professional Experience:
1996-97: Marie Curie Fellow, CERFACS, Toulouse, France
1997-01: Research Associate, Computing Laboratory, Oxford University, Oxford, UK
2001-2005: Lecturer, Dept. of Aerospace Engineering, Queen's University, Belfast, UK
2006-: Lecturer, Senior Lecturer, Reader, School of Engineering and Mat. Sci, Queen Mary University, London, UK


Xu S, Mueller J-D, Pavanakumar M and Wang D (2019). A Newton?Krylov Solver for Robust Turbomachinery Aerodynamic Analysis. American Institute of Aeronautics and Astronautics  Aiaa Journal: Devoted to Aerospace Research and Development  10.2514/1.J058523

Mueller J, ZHANG X, Akbarzadeh S and WANG Y (2019). Geometric continuity constraints of automatically derived parametrisations in CAD-based shape optimisation. Taylor & Francis  International Journal of Computational Fluid Dynamics  10.1080/10618562.2019.1683166

Roi DP, Mueller J-D, Lobotesis K, McCague C, Memarian S, Khan F and Mankad K (2019). Intracranial aneurysms: looking beyond size in neuroimaging: the role of anatomical factors and haemodynamics. Quantitative Imaging in Medicine and Surgery  vol. 9, (4) 537-545. 10.21037/qims.2019.03.19

Hückelheim JC and Müller JD (2019). Checkpointing with Time Gaps for Unsteady Adjoint CFD. Computational Methods in Applied Sciences  10.1007/978-3-319-89988-6_7

Zhang X, Jesudasan R and Müller JD (2019). Adjoint-based aerodynamic optimisation of wing shape using non-uniform rational B-splines. Computational Methods in Applied Sciences  10.1007/978-3-319-89890-2_10

Schwalbach M, Verstraete T, Müller JD and Gauger N (2019). A comparative study of two different CAD-based mesh deformation methods for structural shape optimization. Computational Methods in Applied Sciences  10.1007/978-3-319-89890-2_4

Mohanamuraly P, Hascoët L and Müller JD (2019). Seeding and adjoining zero-halo partitioned parallel scientific codes. Optimization Methods and Software  10.1080/10556788.2019.1591404


Banovi¿ M, Mykhaskiv O, Auriemma S, Walther A, Legrand H and Müller JD (2018). Algorithmic differentiation of the Open CASCADE Technology CAD kernel and its coupling with an adjoint CFD solver. Optimization Methods and Software  vol. 33, (4-6) 813-828. 10.1080/10556788.2018.1431235

Hückelheim JC, Hovland PD, Strout MM and Müller JD (2018). Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation. Optimization Methods and Software  vol. 33, (4-6) 672-693. 10.1080/10556788.2018.1435654

MUELLER J, Wang Y and HE W (2018). Sensitivity Analysis and Gradient-based Optimisation of Feed Spacer Shape in Reverse Osmosis Membrane Processes Using Discrete Adjoint Approach. Elsevier  Desalination  10.1016/j.desal.2018.09.016


mykhaskiv O, MUELLER J, Banovic M, Auriemma S, Mohanamuraly P, Walther A and Legrand H (2017). NURBS-based and Parametric-based Shape Optimisation with differentiated CAD Kernel. Taylor & Francis  Computer-Aided Design and Applications  10.1080/16864360.2018.1462881

Xu S, Timme S, Mykhaskiv O and Müller JD (2017). Wing-body junction optimisation with CAD-based parametrisation including a moving intersection. Aerospace Science and Technology  vol. 68, 543-551. 10.1016/j.ast.2017.06.014

Daviller G, Brebion M, Xavier P, Staffelbach G, Müller JD and Poinsot T (2017). A Mesh Adaptation Strategy to Predict Pressure Losses in LES of Swirled Flows. Flow, Turbulence and Combustion  vol. 99, (1) 93-118. 10.1007/s10494-017-9808-z

MUELLER J, hueckelheim J, hovland P and Strout M (2017). Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver. Sage Publications  International Journal of High Performance Computing Applications  10.1177/1094342017712060

MUELLER J, verstraete T and Mueller L (2017). ADJOINT BASED DESIGN OPTIMISATION OF AN INTERNAL COOLING CHANNEL U-BEND FOR MINIMIZED PRESSURE LOSSES., Editors: manna M. International Journal of Turbomachinery Propulsion and Power 

Verstraete T, Müller L and Müller JD (2017). Adjoint-based design optimisation of an internal cooling channel u-bend for minimised pressure losses. Mdpi  International Journal of Turbomachinery, Propulsion and Power  vol. 2, (2) 10.3390/ijtpp2020010


Hückelheim JC, Hascoët L and Müller JD (2016). Algorithmic differentiation of code with multiple context-specific activities. Acm Transactions On Intelligent Systems and Technology  vol. 43, (4) 10.1145/3015464

Ghani A, Poinsot T, Gicquel L and Müller JD (2016). LES Study of Transverse Acoustic Instabilities in a Swirled Kerosene/Air Combustion Chamber. Flow, Turbulence and Combustion  vol. 96, (1) 207-226. 10.1007/s10494-015-9654-9


Xu S, Radford D, Meyer M and Müller JD (2015). Stabilisation of discrete steady adjoint solvers. Journal of Computational Physics  vol. 299, 175-195. 10.1016/


Xu S, Jahn W and Müller J-D (2013). CAD-based shape optimisation with CFD using a discrete adjoint. International Journal For Numerical Methods in Fluids  10.1002/fld.3844


Jaworski AB, Müller JD and Rokicki J (2012). One-shot optimisation with grid adaptation using adjoint sensitivities (ECCOMAS 2012). Eccomas 2012 - European Congress On Computational Methods in Applied Sciences and Engineering, E-Book Full Papers  3685-3693.

Jones D, Müller JD and Bayyuk S (2012). CFD development with automatic differentiation. 50th Aiaa Aerospace Sciences Meeting Including The New Horizons Forum and Aerospace Exposition  10.2514/6.2012-573

Wolf P, Staffelbach G, Gicquel LYM, Müller JD and Poinsot T (2012). Acoustic and Large Eddy Simulation studies of azimuthal modes in annular combustion chambers. Combustion and Flame  vol. 159, (11) 3398-3413. 10.1016/j.combustflame.2012.06.016

Müller JD, Jitsumura M and Müller-Kronast NHF (2012). Sensitivity of flow simulations in a cerebral aneurysm. Journal of Biomechanics  vol. 45, (15) 2539-2548. 10.1016/j.jbiomech.2012.07.036

Wolf P, Staffelbach G, Gicquel LYM, Müller J-D and Poinsot T (2012). Acoustic and Large Eddy Simulation studies of azimuthal modes in annular combustion chambers. Combustion and Flame  10.1016/j.combustflame.2012.06.016

Mueller J-D, Jones D, Jahn W, Othmer C, Megahed M, Hollette N, Pierrot G, Bletzinger K-U and Stavropolou E (2012). Goal-based flow optimisation for automotive design. Transport Research Arena 2012  vol. 48, 3599-3612. 10.1016/j.sbspro.2012.06.1323


Christakopoulos F, Jones D and Mueller J-D (2011). Pseudo-timestepping and verification for automatic differentiation derived CFD codes. Computers & Fluids  vol. 46, (1) 174-179. 10.1016/j.compfluid.2011.01.039

Jones D, Müller JD and Christakopoulos F (2011). Preparation and assembly of discrete adjoint CFD codes. Computers and Fluids  vol. 46, (1) 282-286. 10.1016/j.compfluid.2011.01.042

Yu G, Müller JD, Jones D and Christakopoulos F (2011). CAD-based shape optimisation using adjoint sensitivities. Computers and Fluids  vol. 46, (1) 512-516. 10.1016/j.compfluid.2011.01.043


McConlogue T, Mueller J and Shelton J (2010). Challenges of developing engineering students' writing through peer assessment. Engineering Education 2010: Inspiring The Next Generation of Engineers, Ee 2010 

Puigt G, Auffray V and Müller JD (2010). Discretisation of diffusive fluxes on hybrid grids. Journal of Computational Physics  vol. 229, (5) 1425-1447. 10.1016/


Jaworski A and Müller JD (2008). Toward modular multigrid design optimisation. Lecture Notes in Computational Science and Engineering  vol. 64 LNCSE, 281-291. 10.1007/978-3-540-68942-3_25

Forsythe N and Mueller JD (2008). Validation of a fluid-structure interaction model for a bileaflet mechanical heart valve. Int J Comput Fluid D  vol. 22, (8) 541-553. 10.1080/10618560802336962


Giles MB, Duta MC, Müller JD and Pierce NA (2003). Algorithm developments for discrete adjoint methods. Aiaa Journal  vol. 41, (2) 198-205. 10.2514/2.1961


Moinier P, Müller JD and Giles MB (2002). Edge-based multigrid and preconditioning for hybrid grids. Aiaa Journal  vol. 40, (10) 1954-1960. 10.2514/2.1556


Müller JD, Schönfeld ET and Légier JP (2001). Adaptive local grid refinement for unsteady reacting flows. 15th Aiaa Computational Fluid Dynamics Conference 

Müller JD and Giles MB (2001). Solution adaptive mesh refinement using adjoint error analysis. 15th Aiaa Computational Fluid Dynamics Conference 

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