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 driving force behind the 21 st Century is the development of knowledge-intensive societies. It has led to establishment of new Institutes of higher learning in India. Indian Institute of Technology Indore, established in 2009, is part of the initiative that envisages India as a global knowledge and technology leader. Continuing with the tradition of the older IITs, IIT Indore aims to play an active role in propelling India on her growth-trajectory by focusing on research- based education and innovation driven research and entrepreneurship. IIT Indore aims to achieve this mission with humanistic concerns.


  • Promote inter-disciplinary research in science, engineering, and humanities and social sciences
  • Conduct disruptive and social impacting research some chosen areas such as sustainable development, climate change, food and water security
  • Promote industry-oriented research leading to new products, processes, and technologies
  • Focus on convergence on interdisciplinary research.
  • Promote culture of start-ups and entrepreneurship by establishing of Industrial Research Park which will be a focal point in Central India
  • Aggressive patenting and protection of IPR


  • Enhancement of academic, technological, and social outreach of the Institute through societal research, education, healthcare, sanitation, and rural development.
  • Development of world class research and learning facilities for industries, teaching and research institutions.
  • Skill development and scaling up the research and innovation towards the national requirements.
  • To contribute to development of world class technological innovation in Engineering and Biomedical instrumentation, Defense, E-vehicles, alternate energy resources, etc.











Civil Engineering

Landslide forecasting, field monitoring and development of Landslide Early Warning System (LEWS) Landslides triggered by heavy rains are increasing in number and creating severe losses in hilly regions across the world. Development of LEWS is a widely followed approach to reduce the risk associated with landslides. Rainfall thresholds on regional and local-scales are being used for forecasting such events, for efficient early warning. Empirical and probabilistic approaches for defining rainfall thresholds are traditional tools which are being used as part of the landslide forecasting system. Such methods are easy-to-use and are based on statistical analyses. They can be derived without looking into the complex hydro-geological processes i Read More

Civil Engineering

(Dr. Guru Prakash) Structural health monitoring provides a measurement-informed quantitative and systematic framework to better assess the state of fatigue in aging infrastructure. In this paper, a general methodology for probabilistic modeling of fatigue damage accumulation is presented from a structural health monitoring perspective, which allows for estimating the remaining fatigue life from strain measurements. The method presented uses a damage-sensitive feature derived from the Palmgren–Miner rule—a commonly used measure in fatigue analysis and design—as a surrogate for degradation and probabilistically models the process of degradation. A Bayesian approach is employed to estimate the parameters of this degradation model, and the remaining fatigue life is predicted using Markov chain Monte Carlo (MCMC) Read More
Research Archive


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Indian Institute of Technology Indore
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