The work initially focuses on developing cost effective solutions for upper limb prosthesis. Several possible hand configurations will be considered and the trade-off between cost and functionality will be investigated. The robustness of the myoelectric signal based hand movement algorithm will be extensively tested for varying environmental conditions and other factors. The research is currently executed as a part of several doctoral, post graduate and undergraduate theses, aiming to build expertise within the institute on the research area.  This work can be seen as a humble beginning of the establishment of a multi-disciplinary lab in collaboration with other institutes. It also opens up many areas of research including myoelectric control based smart homes, Silent Speech Interfaces, EMG based diagnosis, EMG assisted wheel chair control or other assistance for differentially abled persons etc., to name a few. 

With recent advancements in technology, the analyzes of many engineering problems has become very complex. The conventional approach of  generating prototypes and performing measurements in the overall design process became slow and very expensive. 

This motivated the researchers to develop Computer Aided Design (CAD) tools such as electromagnetic simulators, which model the behavior of systems accurately such that expensive prototyping can be avoided while saving time and cost. Such simulation-driven approaches are very popular nowadays and many problem specific CAD tools have been developed. Even though, such CAD tools are very accurate, the models generated using these tools are often very expensive in terms of the computational resources. Since, ultimately these CAD tools are used in the design process of complex engineering systems, multiple simulations is necessary. The resulting simulations can then be used in several design activities. However, as the CAD tool simulations are computationally very expensive, their applicability in practice is limited.  An alternative is to build behavioral models or parametric macromodels using a limited number of judiciously chosen CAD simulations to mimic these complex models as accurate as possible. In this PhD thesis, the focus is towards automated generation of accurate and efficient parametric macromodels for high-frequency electromagnetic simulators.