Applications:
Complex Systems, Computer Science, Economics, Finance and Business, Engineering, Informatics
Methodologies:
Causal Inference, Data Mining, Data Visualization, Databases and Data management, Machine Learning, Statistics

Barzan Mozafari

Associate Professor

EECS, College of Engineering

Associate Professor of Electrical Engineering and Computer Science, College of Engineering

Building data-intensive systems that are more scalable, more robust, and more predictable. He draws from advanced statistical models to deliver practical database solutions to real-world problems. In particular, he adapts concepts and tools from applied statistics, optimization theory, and machine learning.