Dirk Hartmann

Siemens - Simcenter Technology Innovation | TU Darmstadt - Chair of Digital Twins

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I am a technology leader, industrial mathematician, and intrapreneur in the field of Simulation and Digital Twin. Currently, I hold the position of a Technical Fellow at Siemens Digital Industries Software, where I lead the Simcenter Technology Innovation Team. Additionally, I am a professor at TU Darmstadt, heading the chair of digital twins. Throughout my career at Siemens, I have taken on several leadership roles in research, innovation, and management, including leading a multi-million innovation program and technically leading the Simulation & Digital Twin field, managing a team of over 100 scientists at Siemens’ central Research and Pre-Development Department.

Enable anyone to predict all physical behaviors with a digital twin, to any required level of accuracy and within any required time.

My research focuses on efficient numerical methods for computational engineering and digital twins, with a strong focus on interactive and real-time applications. Recently, my interest has expanded to the field of scientific machine learning, combining machine learning techniques with classical numerical algorithms. Driven by the core belief that computational algorithms are the innovation backbone of the 21st century, I concentrate on developing innovative methods that allow us to boldly employ simulation where no one has used it before. Many of my innovations have resulted in novel products and have been recognized through various awards, such as the Werner-von-Siemens Top Innovator Award in 2019 and the Siemens Inventor of the Year Award in 2021.

If you are interested in working with me at Siemens Digital Industries Software or at TU Darmstadt, please check the Siemens Job Portal or my webpage at TU Darmstadt.

news

Jul 01, 2025 Dirk joined the TU Darmstadt as a cooperation professor building up the chair of Digital Twins. :mortar_board:
May 23, 2023 Launched The Art of the Possible Siemens blog which journeys through the future of predictive engineering technologies. :memo:

selected publications

  1. Digital Twin
    Digital Twins - a golden age for industrial mathematics
    Dirk Hartmann and Herman Van der Auweraer
    J.Math.Industry, 2025
  2. Solver
    Fast 3D solvers for interactive computational mechanics
    Stefan Gavranovic, Zain Hassan, Lukas Failer, and 1 more author
    J.Math.Industry, 2024
  3. SciML
    Active-learning-based nonintrusive model order reduction
    Qinyu Zhuang, Dirk Hartmann, Hans-Joachim Bungartz, and 1 more author
    DCE, 2023
  4. SciML
    A neural network multigrid solver for the Navier-Stokes equations
    Nils Margenberg, Dirk Hartmann, Christian Lessig, and 1 more author
    Journal of Computational Physics, 2022
  5. SciML
    Model order reduction based on Runge–Kutta neural networks
    Qinyu Zhuang, Juan Manuel Lorenzi, Hans-Joachim Bungartz, and 1 more author
    DCE, 2021
  6. Manufacturing
    Combined offline simulation and online adaptation approach for the accuracy improvement of milling robots
    Michael F. Zaeh, Florian Schnoes, Birgit Obst, and 1 more author
    CIRP Annals, 2020
  7. Digital Twin
    Model Order Reduction a Key Technology for Digital Twins
    Dirk Hartmann, Matthias Herz, and Utz Wever
    In Reduced-Order Modeling (ROM) for Simulation and Optimization, 2018
  8. MechBio
    A Mechanochemical Model for Embryonic Pattern Formation: Coupling Tissue Mechanics and Morphogen Expression
    Moritz Mercker, Dirk Hartmann, and Anna Marciniak-Czochra
    PLoS ONE, 2013
  9. PedDyn
    Adaptive pedestrian dynamics based on geodesics
    Dirk Hartmann
    New J. Phys., 2010
  10. MechBio
    A multiscale model for red blood cell mechanics
    Dirk Hartmann
    Biomech Model Mechanobiol, 2010