Rafsanjani, Muhammod

Working with deep learning, scientific computing, and physics-informed neural networks (PINNs) 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.

I attained a B. Sc. (Engg.) in Computer Science and Engineering (CSE) from United International University (UIU), Bangladesh, in 2018. I have been pursuing my Ph. D. in Scientific Computing at Drexel University.

Furthermore, I prefer to stay engaged in research work rather than racing to increase grade (e.g., GPA/CGPA); I firmly believe that students should concentrate on problem-solving (e.g., social issues, healthcare therapeutics) by utilizing what they learned. In addition, I always try to make well-documented open-source research repositories so that other researchers may benefit. Beyond that, I also enjoy long-distance running, cycling, and love to read fictional and non-fictional books (eyes on my reading list).



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