PhD in Mathematics, University of Wisconsin Milwaukee.

BS in Computer Science, Nankai University.

Research interest: 

Numerical Analysis, Data Science and AI.

Courses taught:

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

• Computer Science
• C/C++ Programming
• Java Programming
• Engineering Programming with Matlab

Lectures on AI and ML:

• Neural Network and the Universal Approximation Theorem
• CNN - Convolution Neural Network
• RNN - Recurrent Neural Network
• KNN - K-Nearest Neighbors
• Eigenvalues, Eigenvectors and Eigenfaces
• SVD and PCA - Singular Value Decomposition and Principle Component Analysis
• Markov Chain, Laplace Transform and LLMs
• The Diffusion Equation and Diffusion Models
• The Navier Stokes Equations