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Research & Development


IIT Indore envisages the process of convergence of traditional disciplines as the key to accomplish the previously unimaginable. With this foresight, IIT Indore has been promoting multi-disciplinary research programme, focusing on basic and applied research, technology development and innovation. It is this vision that has helped the institute to do very well in all spheres of science, engineering and humanities and social sciences.

 

A core competency of IIT Indore is research driven academic programme as it forms a core component of the undergraduate and postgraduate teaching. At IIT Indore, we have consciously promulgated the idea of involving undergraduate students in forefront research projects. This led to the initiation of a formal undergraduate research scheme entitled, "Promotion of Research and Innovation for Undergraduate Students".

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Research at IIT Indore has been recognized at international level with active participation in several key international projects and several joint collaborations with research organizations in Japan, South Korea, Russian Federation, Portugal, France, Germany, USA, and many other countries. The institute has been successful in securing 82 externally sponsored research projects worth over Rs. 22 Crores.

 

IIT Indore recognizes that encouraging entrepreneurship for technology development, economic and social stability is need of the hour. The Innovation and Entrepreneurship Development Centre (IEDC) at IIT Indore was started with the same vision. IIT Indore students are in the process of having their own start-ups thus applying innovation into practicality for the benefit of all. In the coming years, IIT Indore will develop into a world class centre for higher academic and industrial research and innovation.


RESEARCH HIGHLIGHTS

Research Highlights from Dr. Ashok Kumar’s Research Group

Real time data is invariably noise, contaminated, and does not always conform to a fixed model. Robust estimation involves a key re-weighting procedure on the likelihood score equation which enables us to control the effect of outliers while retaining the efficiency of the estimators to a larger extent. This re- weighting induces an information measure, which is generally an extension of the well-known Kullback- Leibler divergence (which is known to be associated with the maximum likelihood estimation). We study various estimation procedures, the information measures associated with them, and their efficacies.

 

 

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Research Highlights from Dr. Kiran Bala’s Research Group

In Biofuels Research lab., we have been working with various green and blue-green algae species indigenously isolated from contaminated sites. These algae species are being explored for their biomass and lipid profile in context to biodiesel generation, carbon fixation potential and wastewater treatment. Selecting tolerant microalgal strains and further enhancing their ability to tolerate higher concentrations of contaminant by gradually increasing the concentration is very important in making the overall process efficient and economically feasible. Main goal is combining the process of algal biodiesel development with waste water treatment and greenhouse gas fixation. The purified wastewater can be channelled back into receiving water bodies, while the biodiesel can fuel buses, construction vehicles and farm equipment simultaneously handling air pollution issues.

 

 

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Research Archive