Working with deep learning and scientific computing gives me an immense sense of self-fulfillment.
I am Rafsanjani Muhammod (Md Rafsan Jani): a machine learning aficionado who loves solving complex scientific problems, open-source believer and contributor. |
|
Research Areas & Interests: |
1. Machine Learning: Deep Neural Networks, Data-driven Modeling, Physics-informed Neural Networks (PINNs) 2. Artificial Intelligence: Probabilistic Graphical Models, AI-driven Optimization, Bio-inspired Algorithms 3. Computational Complexity & Mathematics: Partial Differential Equations (PDEs) and Numerical Analysis |
Application Areas: |
Artificial Intelligence in Scientific Computing |
Key Technical Skills: |
Python, Deep Learning (PyTorch, scikit-learn), Algorithms Visualization, Technical Writing (LaTeX), Linux, Git/GitHub |