Kaushik Dayal
Walter J. Blenko, Sr. Professor, Civil and Environmental Engineering
Courtesy Appointment, Mechanical Engineering, Materials Science and Engineering
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Kaushik Dayal is a professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University. Dayal's research interests are in the area of theoretical and computational multiscale methods applied to problems in materials science, with particular focus on bridging from atomic to continuum scales in the context of functional behavior, non-equilibrium response, and electromagnetic effects.
Dayal received his B.Tech. degree from the Indian Institute of Technology Madras (Chennai) in 2000. He earned his M.S. and Ph.D. in Mechanical Engineering at the California Institute of Technology in 2007.
Education
2007 Ph.D., Mechanical Engineering, California Institute of Technology
2001 MS, Aeronautics, California Institute of Technology
2000 B.Tech., Naval Architecture, Indian Institute of Technology Madras
Media mentions
PITA
Advancing microreactor technology efficiencies through digital twins
Advancing microreactor technology efficiencies through digital twins
Civil and Environmental Engineering
Four CEE faculty named endowed chairs
The College of Engineering announced eight new endowed chairs. Four are professors in the Department of Civil and Environmental Engineering.
CMU Engineering
Studying heterogeneous materials under extreme conditions
The Department of Defense awards a team of researchers funding to develop energy-absorbing, structure-preserving materials that are more resilient under extreme loads.
Civil and Environmental Engineering
Studying heterogeneous materials under extreme conditions
Kaushik Dayal, a professor of civil and environmental engineering at Carnegie Mellon University, will lead a team of researchers looking at the behavior of heterogeneous materials through the Department of Defense's Multidisciplinary University Research Initiative (MURI) program. The project aims to improve the resilience of defense-related materials under extreme conditions of stress and uncertainty.