About Me
Receiving the best thesis award in Mathematics, Otto von Guericke University Magdeburg
I help engineering teams unlock the potential of AI — automating manufacturing workflows, designing physics-informed models, and applying generative AI to complex engineering challenges. I work as a Senior AI Engineer at appliedAI Initiative GmbH and Senior Research Associate at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
Previously, I led the Physics-Enhanced Machine Learning team at the Max Planck Institute for Dynamics of Complex Technical Systems (MPI-DCTS), Magdeburg, Germany. I earned my Ph.D. in computational mathematics from MPI-DCTS and Otto von Guericke University in 2018, where I developed system-theoretic methods for constructing low-dimensional models of high-dimensional dynamical systems. My PhD work was recognized with the best thesis award from the Faculty of Mathematics at Otto von Guericke University and the Dr. Klaus Körper prize from GAMM for outstanding contributions to Applied Mathematics and Mechanics.
Research Interests
- AI-driven manufacturing process automation
- Physics-informed neural network architecture
- Surrogate and reduced-order modeling
Contact
pkgpawan@gmail.com