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Research & Development


IIT Indore envisages the convergence of traditional disciplines as the key to accomplish the previously unimaginable. With this foresight, IIT Indore has been promoting inter- disciplinary research programmes focusing on basic and applied research, technology development and innovation. This vision has helped the institute to excel in all spheres of science, engineering, and humanities and social sciences.

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

Research at IIT Indore has been recognized at both international and national level. Faculty members and scientists are actively involved in several key international projects and joint collaborations with research organizations in Japan, South Korea, Russian Federation, Portugal, France, Germany, UK, USA, and many other countries. The institute has been successful in securing 273 externally sponsored research projects with a sanctioned amount of Rs. 100.63 Crore.

Centre for Innovation and Entrepreneurship (CIE) was established to encourage entrepreneurship for technology development, economic and social stability. IIT Indore community is actively working towards establishing their own start-ups and thereby 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 : Astronomy, Astrophysics and Space Engineering

Computational Cosmology and Statistical Inference research group at IIT Indore is involved in developing state-of-the-art numerical simulations and analytical estimates to shed light on a new way of observing and constraining the Cosmic Dawn and Epoch of Reionization. If a region of ionized hydrogen of size > 1000 Mpc^3 is detected through future SKA (Square Kilometre Array) 21-cm surveys, follow up photometric and spectroscopic observations at infrared wavelengths with WFIRST and JWST will be able to constrain the contribution of the galaxies residing inside that region in its ionization. It will help us to constrain or rule out the different source models of reionization.

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RESEARCH HIGHLIGHTS : Electrical Engineering

Pattern Recognition and Image Analysis (PRIA) research group at IIT Indore is primarily engaged in addressing research problems related to biometric recognition. With the development of high-resolution fingerprint scanners, high-resolution fingerprint-based biometric recognition has received increasing attention. Level-3 fingerprint features, which include very fine details such as pores, are generally observable in fingerprint images having a resolution greater than 800 dpi. Pore features have been found to be effective for fingerprint recognition. Accurate detection of pores is crucial for biometric recognition using high-resolution fingerprints. Recently, we have developed a deep convolutional neural network based method for detecting pore coordinates in high-resolution fingerprint images. The figure shows a sample fingerprint image (left) and the detected pores indicated by green dots overlaid on the fingerprint image (right).

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Research Archive