Electrical Engineering and Computer Science


The research in control focuses on control of autonomous vehicles, smart grid systems, dc power systems, and biomedical processes.


  • Process control
  • Real-time control
  • Optimal control
  • Neural networks
  • Machine learning
students specializing in controls take classes such as

required core courses

Feedback Control Systems

Control Systems Design

Digital Control Systems

recommended courses

Machine Learning

Optimal Control Theory

Random Signals and Optimal Filters

Pattern Recognition and Neural Networks


faculty members

Dr. Richard Molyet (Controls Leader)

Dr. Richard Molyet’s research is in the areas of modeling and control of autonomous vehicle collision avoidance, control and performance evaluation of smart grid systems using SMES storage, control of shipboard dc power systems, and modeling and control of biomedical processes such as human kidney function.

Dr. Raghav Khanna

Dr. Raghav Khanna’s research is in the areas power systems, renewable energy integration, power electronics, and modeling and characterization of wide bandgap semiconductors for improved performance of next generation power electronic circuits.

Last Updated: 6/27/22