Pawan Goyal

Dr. Pawan Goyal is a Senior AI Engineer/Researcher at appliedAI Initiative GmbH, focusing on generative AI and physics-informed machine learning. Previously, he led the Physics-Enhanced Machine Learning team at the Max Planck Institute for Dynamics of Complex Technical Systems, where he developed surrogate modeling techniques integrating physics into AI. His research spans dynamical systems, model reduction, and materials science, emphasizing stability and interpretability of models.

• Education: PhD in Applied Mathematics (Max Planck Institute, 2018), M.Tech and B.Tech in Engineering Design (IIT Madras).

His work bridges computational science and AI, addressing challenges in engineering design and materials discovery. Key interests include generative AI for design, physics-informed neural networks, and reduced-order modeling for complex systems.

• Awards: Dr.-Klaus-Körper Prize (GAMM, 2019), Best Ph.D. Thesis (Otto-von-Guericke University, 2018).