Dr. Pawan Goyal
Computational Methods in Systems and Control Theory
Max Planck Institute for Dynamics of Complex Technical Systems
Max Planck Institute for Dynamics of Complex Technical Systems
Main Focus
- Machine learning for dynamical systems
- Physics-informed deep learning
- Dimensionality reduction for linear and nonlinear dynamical systems (Project link)
- Image reconstruction and denoising with applications in bio-medical (Project link)
Curriculum Vitae
- Team leader "Physics-Enhanced Machine Learning", Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany (2021--Present)
- Postdoctoral research fellow, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany (2018--2020)
- Doctoral research fellow, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany (2013--2018)
- Industrial intern, European Aeronautic Defence and Space, Bangalore, India (Jan--Jul 2012)
- Research intern, Max Planck Institute, Magdeburg, Germany (May--Jul 2011)
- Industrial intern, Tata Consultancy Service, Pune, India (May--Jul 2010)
Education
- PhD in Applied Mathematics at Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; Advisor: Prof. Dr. Peter Benner (2013--2018)
- Master of Technology at the Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India (2012--2013)
- Bachelor of Technology at the Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India (2008--2012)
Awards
- Honorable Mention HouseHolder Prize for Best Ph.D. thesis in Numerical Linear and Multilinear Algebra, 2020
- Dr.-Klause-Korper Prize by GAMM (International Association of Applied mathematics and Mechanics) for an excellent Ph.D. Dissertation, 2019
- Best Ph.D. thesis within the faculty of Mathematics at the Otto-von Guericke University, Magdeburg, Germany, 2018