Selected Courses

EE Courses

Stochastic Network Optimization
Elements of Random Matrix Theory and its Applications on Big Data
Convex Optimization
Statistics and Data Analysis
Random Processes

CS Courses

Analysis of Algorithms
Deep Learning

ISE Courses

Foundations of Optimization

Teaching (As a TA)

EE and CS Courses

Fundamentals of Random Matrix Theory and Applications in Smart Grid Big Data

Planning Courses

Advanced Deep Learning with Information Theory: Essentials and Applications

Intelligent Sensing And Perception with AI: Fundamentals and Applications