K.T. Ramesh
Also known as: Kaliat T Ramesh, K.T. Ramesh
Johns Hopkins University, University of California San Diego, Brown University
About
Professor K.T. Ramesh is the Alonzo G. Decker, Jr., Professor of Science & Engineering at Johns Hopkins University. He was the founding Director of the Hopkins Extreme Materials Institute, as well as the Executive Director of the AI-X Foundry and Interim Co-Director of the Data Science and AI Institute at Johns Hopkins. His research directions are the broad areas of impact and failure of materials under extreme conditions, currently with specific interests in nanostructured materials, the massive failure of brittle solids, impact processes in planetary science, and traumatic brain injury. He has particular expertise in high strain rate experiments and in the physics-based modeling of dynamic failure processes. Professor Ramesh is a Fellow of AAAS, ASME, AAM, and SEM, and has received the Koiter Medal from ASME, and the Murray Medal from SEM, among other honors. He was President of the Society of Engineering Science in 2013. Professor Ramesh received his doctorate from Brown University in 1987. After a short stint as a postdoctoral fellow at the University of California, San Diego, he joined the Department of Mechanical Engineering at Johns Hopkins in 1988.
Employment
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Johns Hopkins University Interim Co-Director2023 - 2024
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Johns Hopkins University Founding Director2012 - 2023
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Johns Hopkins University Department Chair1999 - 2002
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Johns Hopkins University Professor1997 - Present
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Johns Hopkins University Associate Professor1993 - 1997
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Johns Hopkins University Assistant Professor1988 - 1993
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University of California San Diego Postdoc1987 - 1988
Education
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Brown University Ph.D.1983 - 1987
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Brown University Sc.M.1983 - 1986
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Brown University Sc.M.1983 - 1985
Projects & Funding
Projects & funding information is unavailable.
Publications (344)
- Mechanical response and failure mechanisms of novel boron carbide ceramics under medium and high strain rates Save
- High-throughput dynamic experiments: The statistics of spall failure at ultra-high strain rates Save
- Extremophile survives the transient pressures associated with impact-induced ejection from Mars Save
- Physics-informed data-driven discovery of constitutive models with application to strain-rate-sensitive soft materials Save
- An anisotropic damage model with defect–crack interactions for heterogeneous brittle media under high-rate loading Save
- Erosion from hypervelocity impacts with simultaneously launched particles Save
- Modified reflective Digital Gradient Sensing applied to hypervelocity impact applications Save
- Estimation of representative length-scales for heterogeneous brittle materials subjected to high-strain-rate loading Save
- An uncertainty quantification guided approach to modeling high-velocity impact into advanced ceramics Save
- A Mechanism‐Based Constitutive Model for Competent Rocks Subjected to Impact Loading Save