Thurst Area

S. No. Thurst Area Faculty Description

1

Shared Aperture Antenna

Sunil K. Khah

The proliferation of advanced sensor and communications systems on multiple platforms has led to an increasingly large number of associated antenna systems. Increasing numbers of sophisticated antennas are also envisioned for on platforms as the integration of additional advanced systems is contemplated. It is desirable to reduce the number of antennas by consolidating the functionality of several systems into a single shared aperture antenna. Combining the functionality of several antennas into one shared aperture presents several technical challenges. Our major stress is to present different methods and advancements in different technologies for designing the shared aperture system.

2.

Experimental Material Science

P. B. Barman, Vineet Sharma, Ragini R. Singh, Surajit K. Hazra,
Sanjiv K. Tiwari

Experimental Materials Science is a versatile domain of high academic achievements that is mainly demonstrated by experimental research followed by application/solution to technical and scientific problems. Creative and productive inquiry are the basic requirements underlying this thrust area. The sub-areas under this domain are III-V compound semiconductors, Ferrites, Amorphous Semiconductors, Gas Sensors, Hydrogen storage, Core-shell nanostructures, Optical & Magnetic studies and Polymers. The journey from synthesis of base materials to state-of-the art devices using those materials is traversed by researchers involved in this area. The research output is normally channelized towards publications/patents/PhDs/Startups.

3.

Computational Materials Science

Santu Baidya, Sanjiv Kumar Tiwari

Material science and engineering offer the opportunity for revolutionary advances in both basic science and technology, and in various technical fields. Nanotechnology, a branch of material science, has created an urgent need for a more robust quantitative understanding of matter at different scales via modeling and simulation. Advances in the computer technology have enabled the modeling and simulation of complex systems with millions of degrees of freedom. Although we are capable of fabricating various nano-devices, we lack the ability to incorporate them into complex systems and do not fully understand the theoretical intricacies of such systems. Therefore, this area of research has an excellent opportunity to understand the computational aspect of Materials Science.