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个人简介
Professor Mahadevan’s research and teaching interests are in uncertainty quantification, risk and reliability analysis, machine learning, system diagnosis and prognosis, and decision-making under uncertainty. He has applied these methods to a variety of structures, materials and systems in civil, mechanical and aerospace engineering. His research has been extensively funded by NSF, NASA, DOE, DOD, FAA, NIST, as well as Airbus, GM, Chrysler, GE, Union Pacific, ABS, Northrop-Grumman, Rolls Royce, and Mitsubishi. In particular, during the past decade, he has been at the forefront of academic research on digital twin methodologies for aircraft, rotorcraft, ship structures, and additive manufacturing, funded by FAA, U.S. Air Force, U. S. Army, ABS, and NIST. At present, he is extending these concepts to air transportation and power grid systems, funded by NASA and U. S. Department of Energy.
研究兴趣
论文共 671 篇作者统计合作学者相似作者
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INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING (2024): 105108
APPLIED ENERGY (2024): 122438
JOURNAL OF AEROSPACE INFORMATION SYSTEMSno. 1 (2024): 19-27
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATIONno. 6 (2023): 1-23
CoRR (2023)
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IEEE Transactions on Power Systemsno. 99 (2023): 1-10
arxiv(2023)
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Structural and Multidisciplinary Optimizationno. 1 (2023): 1-1
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