Our research is multi-disciplinary and prospective students may have strong backgrounds in all or some of the following research areas:

1. Controls and Robotics: Developing advanced control systems and intelligent robotics for real-world applications.
2. Applied Mathematics: Formulating mathematical models and computational methods to solve complex, multi-scale problems.
3. Machine Learning and Graph Theory: Leveraging cutting-edge machine learning techniques alongside graph-theoretical approaches to develop innovative algorithms, optimize network analysis, and drive data-driven insights.
4. Stochastic Analysis and Statistics: Designing robust probabilistic models and statistical methods for uncertainty quantification and informed decision-making.

Please see Research to get familiar with our projects.

If you are interested in joining our group, please mention that in your application to the graduate program in ECE at Northeastern University.