Marimuthu Kalimuthu

Current Topics of Interest:

• Deep Neural Networks for Solving Partial Differential Equations (PDEs)
• Efficient Representation Learning for Modeling Dynamical Systems (e.g., PDEs)
• Physics-Informed Machine Learning (Neural Operators, PINNs, Graph Networks, etc)
• Machine Learning for Spatio-Temporal Modeling
• Transformer Models for Vision and Time-Series Data
• Neural Fields for Learning Physics (e.g., CROM, CORAL)
• Generative Models for Computer Vision (Vision Transformers -- Swin, ViT)
• Graph Neural Networks for Simulations (MPNN, Meshgraphnets, etc)
• Transfer Learning for Fluid Mechanics
• Symbolic Regression (utilizing for e.g., PySINDy, PySR)

If you're interested in any of the above listed topics for your Bachelor's or Master's Thesis, or a Research Project (Forschungsprojekt), please feel free to send me an email, attaching your (i) current CV, (ii) up-to-date Transcript of Records (ToR), and (iii) a brief one paragraph motivation. Generic emails devoid of these documents & motivation would not elicit a response.