Imran Ali Khan

Khan Imran

Pic-Imran

Scientific Officer

Nationality: Indian

Institute:

Date of first affiliation: 07/14/2015

Research aim and objectives

Plasticity, Fracture, Computational materials modelling, Micromorphic/Cosserat mechanics

Biography

After completing my graduation in Mechanical Engineering (B. Tech), I joined Bhabha Atomic Research Centre (BARC), India, in September, 2000. I am presently working in BARC as Scientific Officer-F (equivalent to Assoc. Professor). I have been working in the general area of Fracture mechanics, Plasticity, and Computational Materials Modelling and I have made several original contributions. My research involves theoretical analysis, computational simulations and experimental work. I did my PhD on 'weld centre cracks' and the research work was published in leading international journals (05 articles). In addition to being a researcher, I am also serving as a faculty member in BARC Training school and I deliver lectures on ASME code design for pressure vessels and piping, and finite element method as a part of training program of the newly recruited graduate engineers. I have the experience of working on collaborative research projects and I have worked twice as a Guest Scientist at MPA, University of Stuttgart, Germany under the Indo-German bilateral program on "fracture and fatigue assessment of dissimilar metal weld joints" in 2006, 2007. I have more than 45 publications (mostly as first author) to my credit. I have also supervised many graduate and post-graduate students towards successful completion of their academic projects. I am also responsible for the development of an advanced facility for testing of refractory metals and ceramics at high temperature (above 1000˚C) in vacuum environment. DAE SRC Outstanding Investigator Award (2015) This is a very prestigious award from the Scientific Research Council of the Department of Atomic Energy, India. It aims to encourage and provide financial support to researchers who have demonstrated a high level of competence in their research fields. Under this award, Dr. Khan will receive a research fund in excess of $180k that will be utilised to develop predictive models of graphite failure under static as well as quasi-static cyclic loads.