Aeroelasticity: active aeroelastic tailoring, computational and experimental aeroelasticity of highly flexible wings, coupled nonlinear aeroelasticity and flight dynamic response in high-altitude long-endurance (HALE) aircraft and hypersonic vehicles, bio-inspired micro air vehicle (MAV) aeroelasticity, active vibration and noise reductions in helicopters.
Structural health monitoring: guided-wave modeling, transducer design, signal processing.
Carlos Cesnik is a Professor of Aerospace Engineering at the University of Michigan, and Director of the Active Aeroelasticity and Structures Research Laboratory. He is a Fellow of the AIAA and serve as its Deputy Director for Structures. Prof. Cesnik is a member of AIAA’s Structural Dynamics Technical Committee and the Adaptive Structures Technical Committee, and a member of the AHS Dynamics Technical Committee. He has over 220 archival journal papers, conference papers, and technical reports, and several invited lectures, in the areas of fixed and rotary wing aeroelasticity, smart structures, structural mechanics, and structural health monitoring.
Previously to his appointment as a tenured associate professor at the University of Michigan, Prof. Cesnik was the Boeing Assistant Professor of Aeronautics and Astronautics and then Associate Professor of Aeronautics and Astronautics at MIT. He has also worked as a research engineer at Embraer and has extensive experience in aeroelasticity, finite element modeling, and structural and design optimization. His research interests focus on active aeroelastic structures, computational aeroelasticity, and structural health monitoring. He has a patent for a wing-morphing concept for cannon-launched UAV. This work was selected for the 2002 ASME-Boeing Structures & Materials Award “on the basis of originality and significance to the filed of Aerospace Engineering.” Prof. Cesnik is currently Associated Editor for the AIAA Journal and serves on the Editorial Board of the Journal of Aerospace Technology and Management and the Structural Durability and Health Monitoring.
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