Research interest: 

Numerical Analysis, Data Science and AI.

Courses taught:

• Real Analysis
• Differential Equations
• Probability Theory and Statistics
• Numerical Analysis
• Abstract Algebra
• Linear Algebra
• Calculus I, II and III

• Computer Science
• C/C++ Programming
• Java Programming
• Engineering Programming with Matlab
• Data Structures and Algorithms

Lectures on AI and ML:

• Neural Network and the Universal Approximation Theorem
• CNN/RNN/LSTM/Transformers
• Eigenvalues, Eigenvectors and Eigenfaces - SVD and PCA
• Markov Chain, Boltzmann Distribution, LLM and RBM
• The Diffusion Equation and Diffusion Models
• The Navier Stokes Equations