Research
Fusion of Hard and Soft Computing Control Strategies in Biomedical Engineering |
| Posted by Administrator (admin) on Dec 11 2007 at 11:35 PM |
| Research >> Biomedical Engineering Group |
Faculty: D. Subbaram Naidu, Marco P. Schoen
Graduate Students: Vidya Nandikolla, Balaje Thumati
Project Description:
Human body is the most complex, nonlinear, adaptive and unpredictable
control system. Some success has been achieved in trying to model
various sections of human body. Using some of the models, hard
computing techniques such as optimal control, robust and adaptive
control have been used. Also, soft computing techniques involving
neural networks, fuzzy logic, genetic algorithms and other evolutionary
algorithms are being used in biomedicine. Recently, there is much
interest in using hybrid techniques by fusion of both hard and soft
computing methodologies to cash in their advantages. Problems of
interest, for example, are diabetes mellitus, thyroid disease, cancer
therapy and drug administration.