Graduate School of Science & Engineering

Numerous challenges pertaining to the incorporation of diverse energy sources such as coal, gas, nuclear and renewable, in particular, solar and wind into large integrated electrical networks.

We aim to address the most challenging research problems faced by the signal processing community. Cutting edge technologies such as face recognition, watermarking, and wavelet analysis are the primary focus of the group.

The data mining research community has seen a drift towards the utilization of visual representation of information for analytical reasoning, knowledge extraction and decision making.

The design and exploration of reconfigurable architectures, related CAD tools, and FPGA-based systems design. We have received 13.4 million PKR funding from ICTRnD to conduct research.

Computing research community has focused more on smart, ubiquitous and pervasive computing rather than personalized computing.. The idea is to make it easier to use for the human beings while providing more services to them.

FGCS Research Group at KIET aims to pursue quality research in the domains of Ubiquitous Computing and Ontology Engineering.

Mixed-signal and High-speed Digital CMOS/BiCMOS Circuits and Systems Design for a wide range of Sensor Interfaces