The control and computing group investigates the theoretical and algorithmic principles underlying modern electrical engineering in order to innovatively solve current day engineering problems faced by academia and industry.The following partial list is of problems being tackled by our students in the department and alumni in industry.
- Automatic control theory
- Data estimation and filtering
- nD-Systems
- Optimal Control
- Behavioral Theory
- Graph and matroid decompositions
- Information encryption and coding error control
- Power system stabilization
- Analysis and simulation of very large scale (million node) circuits
- Electromagnetic field computations for building circuits with better performance
- Computational methods for systems theory
- Embedded Control
Lab courses conducted:
- Undergraduate Control System lab( EE324 )
- M.tech Control and Computing lab( EE615 )
