This image shows Oliver Röhrle

Prof.

Oliver Röhrle

Director
Institute for Modelling and Simulation of Biomechanical Systems
Professor for Continuum Biomechanics and Mechanobiology

Contact

+49 711 685-66284

Pfaffenwaldring 5a
70569 Stuttgart
Deutschland
Room: 02.013

Publications:
  1. 2021

    1. Gizzi, L., Yavuz, U. S., Hillerkuss, D., Geri, T., Gneiting, E., Domeier, F., Schmitt, S., & Röhrle, O. (2021). Variations in Muscle Activity and Exerted Torque During  Temporary Blood Flow Restriction in Healthy Individuals. Frontiers in Bioengineering and Biotechnology, 9, 100. https://doi.org/10.3389/fbioe.2021.557761
    2. Klotz, T., Bleiler, C., & Röhrle, O. (2021). A Physiology-Guided Classification of Active-Stress and Active-Strain Approaches for Continuum-Mechanical Modeling of Skeletal Muscle Tissue. Frontiers in Physiology, 12, 1–13. https://doi.org/10.3389/fphys.2021.685531
    3. Bleiler, C., Ponte Castañeda, P., & Röhrle, O. (2021). Tangent second-order homogenisation estimates for incompressible hyperelastic composites with fibrous microstructures and anisotropic phases. Journal of the Mechanics and Physics of Solids, 147, 104251. https://doi.org/10.1016/j.jmps.2020.104251
  2. 2020

    1. Klotz, T., Gizzi, L., Yavuz, U., & Röhrle, O. (2020). Modelling the electrical activity of skeletal muscle tissue using a multi-domain approach. Biomechanics and Modelling in Mechanobiology, 19, 335–349. https://doi.org/10.1007/s10237-019-01214-5
    2. Altan, E., Seide, S., Bayram, I., Gizzi, L., Ertan, H., & Röhrle, O. (2020). A systematic review and meta-analysis on the longitudinal effects of unilateral knee extension exercise on muscle strength. Frontiers in Sports and Active Living, 2. https://dx.doi.org/10.3389%2Ffspor.2020.518148
    3. Hessenthaler, A., Balmus, M., Röhrle, O., & Nordsletten, D. (2020). A class of analytic solutions for verification and convergence analysis of linear and nonlinear fluid-structure interaction algorithms. Computer Methods in Applied Mechanics and Engineering, 362, 112841. https://doi.org/10.1016/j.cma.2020.112841
    4. Asgharzadeh, P., Birkhold, A. I., Trivedi, Z., Özdemir, B., Reski, R., & Röhrle, O. (2020). A NanoFE Simulation-based Surrogate Machine Learning Model to Predict Mechanical Functionality of Protein Networks from Live Confocal Imaging. Computational and Structural Biotechnology Journal, 18, 2774–2788. https://doi.org/10.1016/j.csbj.2020.09.024
    5. Hessenthaler, A., Southworth, B. S., Nordsletten, D., Röhrle, O., Falgout, R. D., & Schroder, J. B. (2020). Multilevel convergence analysis of multigrid-reduction-in-time. SIAM Journal on Scientific Computing, 42(2), A771--A796. https://doi.org/10.1137/19M1238812
    6. Emamy, N., Litty, P., Klotz, T., Mehl, M., & Röhrle, O. (2020). POD-DEIM Model Order Reduction for the Monodomain Reaction-Diffusion Sub-Model of the Neuro-Muscular System. IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart, Germany, May 22--25, 2018, 177--190. https://doi.org/10.1007/978-3-030-21013-7_13
    7. Walter, J. R., Saini, H., Maier, B., Mostashiri, N., Aguayo, J. L., Zarshenas, H., Hinze, C., Shuva, S., Köhler, J., Sahrmann, A. S., Chang, C., Csiszar, A., Galliani, S., Cheng, L. K., & Röhrle, O. (2020). Comparative Study of a Biomechanical Model-based and Black-box Approach for Subject-Specific Movement Prediction. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 4775--4778. https://doi.org/10.1109/EMBC44109.2020.9176600
    8. Saini, H., Ackland, D. C., Gong, L., Cheng, L. K., & Röhrle, O. (2020). Occlusal load modelling significantly impacts the predicted tooth stress response during biting: a simulation study. Computer Methods in Biomechanics and Biomedical Engineering, 1--10. https://doi.org/10.1080/10255842.2020.1711886
    9. Asgharzadeh, P., Röhrle, O., Willie, B. M., & Birkhold, A. I. (2020). Decoding Rejuvenating Effects of Mechanical Loading on Skeletal Aging using in Vivo microCT Imaging and Deep Learning. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2020.02.007
  3. 2019

    1. Röhrle, O., Yavuz, U. S., Klotz, T., Negro, F., & Heidlauf, T. (2019). Multiscale modeling of the neuromuscular system: Coupling neurophysiology and skeletal muscle mechanics. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, e1457.
    2. Tomalka, A., Röhrle, O., Han, J.-C., Pham, T., Taberner, A. J., & Siebert, T. (2019). Extensive eccentric contractions in intact cardiac trabeculae: revealing compelling differences in contractile behaviour compared to skeletal muscles. Proceedings of the Royal Society B, 286(1903), 20190719.
    3. Gizzi, L., Röhrle, O., Petzke, F., & Falla, D. (2019). People with low back pain show reduced movement complexity during their most active daily tasks. European Journal of Pain, 23(2), 410--418. https://doi.org/10.1002/ejp.1318
    4. Reski, R., Özdemir, B., Asgharzadeh, P., Birkhold, A., & Röhrle, O. (2019). The plastid skeleton: a source of ideas in the nano range. In Biomimetics for Architecture. Learning from Nature (pp. 163–166). Birkhäuser.
    5. Schmid, L., Klotz, T., Siebert, T., & Röhrle, O. (2019). Characterization of electromechanical delay based on a biophysical multi-scale skeletal muscle model. Frontiers in Physiology, 10, 1270. https://doi.org/10.3389/fphys.2019.01270
    6. Bleiler, C., Ponte Castañeda, P., & Röhrle, O. (2019). A microstructurally-based, multi-scale, continuum-mechanical model for the passive behaviour of skeletal muscle tissue. Journal of the Mechanical Behavior of Biomedical Materials, 97, 171--186. https://doi.org/10.1016/j.jmbbm.2019.05.012
  4. 2018

    1. Bradley, C. P., Emamy, N., Ertl, T., Göddeke, D., Hessenthaler, A., Klotz, T., Krämer, A., Krone, M., Maier, B., Mehl, M., Rau, T., & Röhrle, O. (2018). Enabling Detailed, Biophysics-Based Skeletal Muscle Models on HPC Systems. Frontiers in Physiology, 9. https://doi.org/10.3389/fphys.2018.00816
    2. Hoekstra, A. G., van de Vosse, F., & Röhrle, O. (2018). The virtual physiological human conference 2016. Journal of Computational Science, 24, 65--67.
    3. Eggs, B., Birkhold, A. I., Röhrle, O., & Betz, O. (2018). Structure and function of the musculoskeletal ovipositor system of an ichneumonid wasp. BMC Zoology, 3(1), 12.
    4. Hessenthaler, A., Nordsletten, D., Röhrle, O., Schroder, J. B., & Falgout, R. D. (2018). Convergence of the multigrid reduction in time algorithm for the linear elasticity equations. Numerical Linear Algebra with Applications, 25(3), e2155.
    5. Schneider, M., Buschbaum, J., Joeris, A., Röhrle, O., Dwyer, J., Hunter, J. B., Reynolds, R. A., Slongo, T. F., Gueorguiev, B., & Varga, P. (2018). Biomechanical investigation of two long bone growth modulation techniques by finite element simulations. Journal of Orthopaedic Research®, 36(5), 1398--1405.
    6. Özdemir, B., Asgharzadeh, P., Birkhold, A. I., Mueller, S. J., Röhrle, O., & Reski, R. (2018). Cytological analysis and structural quantification of FtsZ1-2 and FtsZ2-1 network characteristics in Physcomitrella patens. Scientific Reports, 8(1), 11165.
    7. Röhrle, O. (2018). Skeletal Muscle Modelling. Encyclopaedia for Continuum Mechanics Section Biomechanics.
    8. Röhrle, O., Saini, H., Lee, P. V., & Ackland, D. C. (2018). A novel computational method to determine subject-specific bite force and occlusal loading during mastication. Computer Methods in Biomechanics and Biomedical Engineering, 21(6), 453--460.
    9. Asgharzadeh, P., Özdemir, B., Reski, R., Röhrle, O., & Birkhold, A. I. (2018). Computational 3D imaging to quantify structural components and assembly of protein networks. Acta Biomaterialia, 69, 206--217.
    10. Ramasamy, E., Avci, O., Dorow, B., Chong, S.-Y., Gizzi, L., Steidle, G., Schick, F., & Röhrle, O. (2018). An efficient modelling-simulation-analysis workflow to investigate stump-socket interaction using patient-specific, three-dimensional, continuum-mechanical, finite element residual limb models. Frontiers in Bioengineering and Biotechnology, 6.
    11. Roehrle, O., Saini, H., & Ackland, D. C. (2018). Occlusal loading during biting from an experimental and simulation point of view. Dental Materials, 34(1), 58--68.
    12. Valentin, J., Sprenger, M., Pflüger, D., & Röhrle, O. (2018). Gradient-based optimization with B-splines on sparse grids for solving forward-dynamics simulations of three-dimensional, continuum-mechanical musculoskeletal system models. International Journal for Numerical Methods in Biomedical Engineering, 34(5), e2965.
  5. 2017

    1. Hessenthaler, A., Röhrle, O., & Nordsletten, D. (2017). Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI. International Journal for Numerical Methods in Biomedical Engineering, 33(8), e2845.
    2. Röhrle, O., Sprenger, M., & Schmitt, S. (2017). A two-muscle, continuum-mechanical forward simulation of the upper limb. Biomechanics and Modeling in Mechanobiology, 16(3), 743--762. https://doi.org/10.1007/s10237-016-0850-x
    3. Mordhorst, M., Strecker, T., Wirtz, D., Heidlauf, T., & Röhrle, O. (2017). POD-DEIM reduction of computational EMG models. Journal of Computational Science, 19, 86--96.
    4. Heidlauf, T., Klotz, T., Rode, C., Siebert, T., & Röhrle, O. (2017). A continuum-mechanical skeletal muscle model including actin-titin interaction predicts stable contractions on the descending limb of the force-length relation. PLoS Computational Biology, 13(10), e1005773.
    5. Zderic, I., Steinmetz, P., Benneker, L. M., Sprecher, C., Röhrle, O., Windolf, M., Boger, A., & Gueorguiev, B. (2017). Bone cement allocation analysis in artificial cancellous bone structures. Journal of Orthopaedic Translation, 8, 40--48.
    6. Krohn, B., Sathar, S., Röhrle, O., Vanderwinden, J.-M., O’Grady, G., & Cheng, L. K. (2017). A framework for simulating gastric electrical propagation in confocal microscopy derived geometries. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4215--4218.
    7. Hessenthaler, A., Gaddum, N., Holub, O., Sinkus, R., Röhrle, O., & Nordsletten, D. (2017). Experiment for validation of fluid-structure interaction models and algorithms. International Journal for Numerical Methods in Biomedical Engineering, 33(9), e2848.
  6. 2016

    1. Steinmetz, P., Benneker, L. M., Röhrle, O., Windolf, M., Boger, A., & Gueorguiev, B. (2016). Bone cement allocation analysis in artificial cancellous bone structures. Journal of Orthopaedic Translation, 20, 1e9.
    2. Betz, O., Birkhold, A., Caliaro, M., Eggs, B., Mader, A., Knippers, J., Röhrle, O., & Speck, O. (2016). Adaptive stiffness and joint-free kinematics: actively actuated rod-shaped structures in plants and animals and their biomimetic potential in architecture and engineering. In Biomimetic Research for Architecture and Building Construction (pp. 135--167). Springer, Cham.
    3. Asgharzadeh, P., Özdemir, B., Müller, S. J., Röhrle, O., & Reski, R. (2016). Analysis of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nano-scale. In Biomimetic Research for Architecture and Building Construction (pp. 261--275). Springer, Cham.
    4. Röhrle, O., Neumann, V., & Heidlauf, T. (2016). The role of parvalbumin, sarcoplasmatic reticulum calcium pump rate, rates of cross-bridge dynamics, and ryanodine receptor calcium current on peripheral muscle fatigue: a simulation study. Computational and Mathematical Methods in Medicine, 2016.
    5. Chong, S.-Y., & Röhrle, O. (2016). Exploring the Use of Non-Image-Based Ultrasound to Detect the Position of the Residual Femur within a Stump. PloS One, 11(10), e0164583.
    6. Heidlauf, T., Klotz, T., Rode, C., Altan, E., Bleiler, C., Siebert, T., & Röhrle, O. (2016). A multi-scale continuum model of skeletal muscle mechanics predicting force enhancement based on actin--titin interaction. Biomechanics and Modeling in Mechanobiology, 15(6), 1423--1437.
    7. Asgharzadeh, P., Özdemir, B., Müller, S. J., Reski, R., & Röhrle, O. (2016). Analysis of confocal microscopy image data of Physcomitrella chloroplasts to reveal adaptation principles leading to structural stability at the nanoscale. PAMM, 16(1), 69--70.
  7. 2015

    1. Mordhorst, M., Heidlauf, T., & Röhrle, O. (2015). Predicting electromyographic signals under realistic conditions using a multiscale chemo--electro--mechanical finite element model. Interface Focus, 5(2), 20140076.
    2. Kupczik, K., Stark, H., Mundry, R., Neininger, F. T., Heidlauf, T., & Röhrle, O. (2015). Reconstruction of muscle fascicle architecture from iodine-enhanced microCT images: a combined texture mapping and streamline approach. Journal of Theoretical Biology, 382, 34--43.
    3. Bleiler, C., Wagner, A., Stadelmann, V. A., Windolf, M., Köstler, H., Boger, A., Gueorguiev-Rüegg, B., Ehlers, W., & Röhrle, O. (2015). Multiphasic modelling of bone-cement injection into vertebral cancellous bone. International Journal for Numerical Methods in Biomedical Engineering, 31(1), Article 1.
    4. Chong, S.-Y., Dorow, B., Ramasamy, E., Dennerlein, F., & Röhrle, O. (2015). The use of collision detection to infer multi-camera calibration quality. Frontiers in Bioengineering and Biotechnology, 3, 65.
    5. Schmitt, S., Lechler, A., & Röhrle, O. (2015). Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen: Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen (pp. 178–184). Springer Vieweg.
    6. Kleiner, B., Röhrle, O., Hülsmann, A., & Röhrle, A. (2015). Mobile radar-basierte Umgebungsvermessung unter Anwendung von Sensorfusion mittels Intrarotkamera und Inertialsensorik.
  8. 2014

    1. Kieser, J., Farland, M., Jack, H., Farella, M., Wang, Y., & Rohrle, O. (2014). The role of oral soft tissues in swallowing function: what can tongue pressure tell us? Australian Dental Journal, 59, 155--161.
    2. Röhrle, O. (2014). Verfahren zur Bestimmung einer Beißkraft.
    3. Heidlauf, T., & Röhrle, O. (2014). A multiscale chemo-electro-mechanical skeletal muscle model to analyze muscle contraction and force generation for different muscle fiber arrangements. Frontiers in Physiology, 5, 498.
    4. Ramasamy, E., Dorow, B., Schneider, U., & Roehrle, O. (2014). Simulation-assisted prosthetic design. BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 59, S1021--S1021.
  9. 2013

    1. Heidlauf, T., Negro, F., Farina, D., & Röhrle, O. (2013). An integrated model of the neuromuscular system. 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 227--230.
    2. Wang, Y., Gamage, T. P. B., Nielsen, P. M., Röhrle, O., & Nash, M. P. (2013). Identification of tongue muscle fibre group contraction from MR images. In Computational Biomechanics for Medicine (pp. 185--196). Springer, New York, NY.
    3. Wang, Y. K., Nash, M. P., Pullan, A. J., Kieser, J. A., & Röhrle, O. (2013). Model-based identification of motion sensor placement for tracking retraction and elongation of the tongue. Biomechanics and Modeling in Mechanobiology, 12(2), 383--399.
    4. Karajan, N., Röhrle, O., Ehlers, W., & Schmitt, S. (2013). Linking continuous and discrete intervertebral disc models through homogenisation. Biomechanics and Modeling in Mechanobiology, 12(3), 453--466.
    5. Heidlauf, T., & Röhrle, O. (2013). Modeling the chemoelectromechanical behavior of skeletal muscle using the parallel open-source software library OpenCMISS. Computational and Mathematical Methods in Medicine, 2013.
    6. Röhrle, O., Sprenger, M., Ramasamy, E., & Heidlauf, T. (2013). Multiscale skeletal muscle modeling: from cellular level to a multi-segment skeletal muscle model of the upper limb. In Computer models in biomechanics (pp. 103--116). Springer, Dordrecht.
  10. 2012

    1. Röhrle, O., Davidson, J. B., & Pullan, A. J. (2012). A physiologically based, multi-scale model of skeletal muscle structure and function. Frontiers in Physiology, 3, 358.
    2. Günther, M., Röhrle, O., Haeufle, D. F., & Schmitt, S. (2012). Spreading out muscle mass within a Hill-type model: a computer simulation study. Computational and Mathematical Methods in Medicine, 2012.
  11. 2011

    1. Röhrle, O., Köstler, H., & Loch, M. (2011). Segmentation of skeletal muscle fibres for applications in computational skeletal muscle mechanics. In Computational Biomechanics for Medicine (pp. 107--117). Springer, New York, NY.
  12. 2010

    1. Smith, N. P., Budgett, D. M., Hunter, P. J., Malcolm, D. T. K., Cheng, L. K.-W., Nash, M. P., Nielsen, P. M. F., Pullan, A. J., Young, A. A., Roehrle, O., & others. (2010). Biophysical virtual model database and applications.
    2. Schmid, H., Watton, P., Maurer, M., Wimmer, J., Winkler, P., Wang, Y., Röhrle, O., & Itskov, M. (2010). Impact of transmural heterogeneities on arterial adaptation. Biomechanics and Modeling in Mechanobiology, 9(3), 295--315.
    3. Röhrle, O. (2010). Simulating the electro-mechanical behavior of skeletal muscles. Computing in Science & Engineering, 12(6), 48--58.
  13. 2009

    1. Saini, H., Wadell, J., Pullan, A., & Röhrle, O. (2009). Automatically generating subject-specific functional tooth surfaces using virtual mastication. Annals of Biomedical Engineering, 37(8), 1646--1653.
    2. Ehlers, W., Markert, B., & Röhrle, O. (Eds.). (2009). Biomechanics. GAMM-Mitteilungen.
    3. Röhrle, O., Waddell, J. N., Foster, K. D., Saini, H., & Pullan, A. J. (2009). Using a motion-capture system to record dynamic articulation for application in CAD/CAM software. Journal of Prosthodontics: Implant, Esthetic and Reconstructive Dentistry, 18(8), 703--710.
  14. 2008

    1. Xu, W., Bronlund, J., Potgieter, J., Foster, K., Röhrle, O., Pullan, A., & Kieser, J. (2008). Review of the human masticatory system and masticatory robotics. Mechanism and Machine Theory, 43(11), 1353--1375.
    2. Röhrle, O., Davidson, J. B., & Pullan, A. J. (2008). Bridging scales: a three-dimensional electromechanical finite element model of skeletal muscle. SIAM Journal on Scientific Computing, 30(6), 2882--2904.
  15. 2007

    1. Röhrle, O., & Pullan, A. J. (2007). Three-dimensional finite element modelling of muscle forces during mastication. Journal of Biomechanics, 40(15), 3363--3372.
    2. Schmid, H., Nash, M., Young, A., Röhrle, O., & Hunter, P. (2007). A computationally efficient optimization kernel for material parameter estimation procedures. Journal of Biomechanical Engineering, 129(2), 279--283.
    3. Kim, J. H., Davidson, J. B., Röhrle, O., Soboleva, T. K., & Pullan, A. J. (2007). Anatomically based lower limb nerve model for electrical stimulation. Biomedical Engineering Online, 6(1), 48.
  16. 2006

    1. Manteuffel, T. A., McCormick, S. F., & Röhrle, O. (2006). Projection multilevel methods for quasilinear elliptic partial differential equations: Theoretical results. SIAM Journal on Numerical Analysis, 44(1), 139--152.
    2. Manteuffel, T. A., McCormick, S. F., Röhrle, O., & Ruge, J. (2006). Projection multilevel methods for quasilinear elliptic partial differential equations: numerical results. SIAM Journal on Numerical Analysis, 44(1), 120--138.
    3. Kim, S. D., Lee, C.-O., Manteuffel, T. A., McCormick, S. F., & Röhrle, O. (2006). First-order system least squares for the Oseen equations. Numerical Linear Algebra with Applications, 13(7), 523--542.
  17. 2004

    1. Rohrle, O. (2004). Multilevel first-order system least squares for quasilinear elliptic partial differential equations. University of Colorado at Boulder.

My full CV can be downloaded from the following link: Full CV (English)

Since 04/19 Founding Director (jointly with Prof. S. Schmitt) of the Institute for Modelling and Simulation of Biomechanical Systems, Faculty 2: Civil and Environmental Engineering, University of Stuttgart, Germany.
Since 04/17 Deputy Dean (Prodekan), Faculty 2: Civil and Environmental Engineering, University of Stuttgart, Germany.
Since 02/16 Fellow of the Stuttgart Centre of Simulation Sciences (SC SimTech), Stuttgart, Germany.
Since 07/13 W3-Professor for "Continuum Biomechanics and Mechanobiology" at the Cluster of Excellence for Simulation Technology (SimTech) and at the Institute
of Applied Mechanics (Civil Engineering), Chair Continuum Mechanics, University of Stuttgart, Germany.
Since 10/11 Attract-Group Leader for the "Virtual Orthopaedic Lab" at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA in Stuttgart.
11/08 - 07/13
Junior Professor for "Continuum Biomechanics and Mechanobiology" at the Cluster of Excellence for Simulation Technology (SimTech) and at the Institute of Applied Mechanics (Civil Engineering), Chair Continuum MechanicsUniversity of Stuttgart, Germany.
11/04 - 11/08
Research Scientist at the Auckland Bioengineering Institute, University of Auckland, New Zealand.
08/04 - 10/04
Postdoctoral Research Associate at the University of Colorado at Boulder, USA 
08/04
PhD in Applied Mathematics, University of Colorado at Boulder, USA
(Prof. S. McCormick and Prof. T. Manteuffel)
08/00 - 08/04
PhD student at the University of Colorado at Boulder, USA
05/00
Diplom Wirtschafts-Mathematiker (Dipl. Math.-oec.), Universität Ulm, Germany
09/99
Master of Science in Mathematics, University of Wisconsin at Milwaukee, USA
09/98 - 09/99
Master student in Mathematics, University of Wisconsin at Milwaukee, USA
10/94 - 05/00
Diplomstudent in Wirtschaftsmathematik, Universität Ulm, Germany

My academic geneology can be found by following this link: Geneology

  1. Ramasamy, E: A Modelling-Simulation-Analysis Workflow for Investigating Socket-Stump Interaction, 2019 (CBM-003)
  2. Sprenger, M.: A 3D Continuum-Mechanical Model for Forward-Dynamics Simulations of the Upper Limb, 2015 (CBM-002)
  3. Heidlauf, T.: Modelling the Neuromuscular System, 2015 (CBM-001)
  4. Wang, Y.: Modelling the movement of the tongue during the oral stage of the swallowing process, 2013 (University of Auckland)
  5. Davidson, J.: Biophysical Modelling of Skeletal Muscle, 2009 (University of Auckland)
To the top of the page