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.
Analysis and simulation of very
large scale (million node) circuits
Electromagnetic field computations
for building circuits with better performance
Power system stabilization
Design of high performance drives
and servomechanisms
Data estimation and filtering
Information encryption and coding
error control
Automatic control theory
Computational methods for system
theory
Graph and matroid decompositions
Grobner basis methods
The
students graduating from the control and computing group have consistently
obtained placement in the R&D sections of well known national and
multinational industries. (Past placement records may be seen here). Employers have
expressed appreciation of their ability to solve problems with the most
sophisticated mathematical and algorithmic techniques. The group has strong
linkages with universities in Europe and USA and, at the PhD level, the
students will get considerable international exposure.