| PhD | Northwestern | 2002 |
| MS | Northwestern | 2000 |
| BS | Northwestern | 2000 |
Prof. Raginsky is interested in theoretical and practical aspects of information processing and decision-making in uncertain environments under resource and complexity constraints. His research combines techniques from information theory, statistical learning theory, optimization and games, stochastic adaptive control, and statistical signal processing.
Signal Processing
Sensing and Sensor Systems