Professor of Civil and Environmental Engineering
John R. Murray Sr. Professor of Engineering
Professor of Mechanical Engineering
Uncertainty quantification, Risk and reliability analysis, Machine learning, System diagnosis and prognosis, and Decision-making under uncertainty. Applications to structures, materials, networks and systems in civil, mechanical and aerospace engineering and healthcare.
Click below to read about the ARPA-E funded power grid management project: https://engineering.vanderbilt.edu/news/2020/3-3-million-project-aims-to-transform-grid-management-with-risk-metrics-for-renewables/
Click below to read about the NASA-funded air transportation safety assessment project: https://engineering.vanderbilt.edu/news/2019/risk-modeling-data-integration-drive-nasa-air-travel-safety-project/
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.
Professor Mahadevan has been elected Fellow of three professional societies: AIAA, ASCE Engineering Mechanics Institute, and Prognostics and Health Management Society. He won the Best Paper of the Year Award from the Military Operations Research (MORS) Journal in 2012, and has won Best Paper awards at multiple conferences including the AIAA Structures, Dynamics and Materials (SDM) Conference, International Modal Analysis Conference (IMAC), ASCE Engineering Mechanics Conference, and the ASCE Probabilistic Methods Conference. He has received the Distinguished Probabilistic Methods Educator Award from the Society of Automotive Engineers, the Joe B. Wyatt Distinguished Professor Award at Vanderbilt University, and the SEC Faculty Achievement Award.
Click here to visit the Department of Civil and Environmental Engineering website.