Dr. Pawan Goyal

Computational Methods in Systems and Control Theory
Max-Planck-Institut für Dynamik komplexer technischer Systeme

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)

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)

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)

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