Venkat Raman
Professor, Aerospace Engineering, Mechanical Engineering
Location
3044 François-Xavier Bagnoud Aerospace Building
1320 Beal Avenue Ann Arbor, MI 48109-2140
Primary Website
https://sites.google.com/umich.edu/apcl/home
Research Interests
Raman focuses on the development of computational models for turbulent reacting flows with application to aircraft and scramjet engines, stationary power generation, and synthesis of novel materials. His research group uses high-performance supercomputers and detailed numerical simulations to study the performance of combustion devices. His recent focus has been in the areas of numerical error analysis, uncertainty quantification, and failure predictions, aimed towards modeling catastrophic and rare events in complex devices and natural systems.
Biography
Venkat Raman received his PhD from Iowa State University in 2003 in the department of chemical engineering. He was a NASA/Center for Turbulence Research Postdoctoral Fellow at Stanford University from 2003-2004, and a research associate in the Center for Integrated Turbulence Simulations from 2004-2005.
From 2005-2014, he was on the faculty of Aerospace Engineering and Engineering Mechanics Department at The University of Texas at Austin, initially as an assistant professor (2005-2011) and later as tenured associate professor (2011-2014).
Raman received an NSF CAREER award in 2008, a distinguished paper award at the International Combustion Symposium in 2013, and the Moncrief Grand Challenge Award in 2013. He held the Eli. H and Ramona Thornton Centennial Fellow in Engineering at UT Austin from 2013-2014.
Related News Stories
The Combustion Institute’s leading publication leverages Raman’s research strength
Multidisciplinary University Research Initiative funding examines a new generation of propulsion systems based on sustained detonations
Venkat Raman’s new research center offers a new future for hypersonic vehicles
U-M Aerospace Engineering Professor Venkat Raman advocates for more versatile and powerful modeling tools to meet computational demands of next-generation aircraft design.
Two U-M led projects are funded by the Department of Defense.
