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Tag: Li Wang

  • 2019 Recipients

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    2019 Award Recipients Recipient Award Swee Balachandran, Marco Feliú, Brendan Duffy, Andrew Peters, Kyle Smalling The Association for Unmanned Vehicles Systems International (AUVSI) presented its AUVSI XCELLENCE award — 2nd Place in the Category of Detect and Avoid Solutions – to NIA Research Engineer Dr. Swee Balachandran, recognizing research performed by a team which included NIA Research Scientist Marco Feliú,…

  • Protected: Revolutions in Rotorcraft Design Optimization

    Protected: Revolutions in Rotorcraft Design Optimization

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    There is no excerpt because this is a protected post.

  • 2018 Recipients

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    Recipient Award Drs. Yi Lin and Jae-Woo Kim NASA 2018 NASA Langley H. J. E. Reid Award Dr. Li Wang AIAA Hampton Roads Section 2018-2019 Engineer of the Year“For development and demonstration of a high-fidelity, computationally-efficient, multidisciplinary analysis and adjoint-based optimization tool for rotorcraft applications.” Jill Brown and Zachary Johns (Consultant) NASA Group Achievement Award– Autonomy Incubator“Demonstrating…

  • 2017 Recipients

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    2017 Award Recipients Recipient Organization Award Tian-Bing Xu R&D 100 Award Finalist “Hybrid Piezoelectric Energy Harvesting Transducer (HYPEHT)” Ronald Krueger American Institute of Aeronautics and Astronautics Region 1 Engineer of the Year Melike Nikbay American Institute of Aeronautics and Astronautics Associate Fellow Nelson De Carvalho ASTM International ASTM Emerging Professional Ross Burns Best Paper Award:…

  • 02-20-2018 | Li Wang: High-Fidelity Multidisciplinary Sensitivity Analysis and Design Optimization for Rotorcraft Applications

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    Topic: High-fidelity Multidisciplinary Sensitivity Analysis and Design Optimization for Rotorcraft Applications Date: Tuesday, February 20, 2018 Time: 11am-noon (EST) Room: NIA, Rm137 Speaker: Li Wang Media Site Link: http://nia-mediasite.nianet.org/NIAMediasite100/Play/51ae515210444e4f8f7579b19a3e03d71d?catalog=fe540232-73ef-4460-8462-0d8a1a25ea58 Abstract: This talk will present a multidisciplinary sensitivity analysis approach that has been developed and applied to rotorcraft simulations involving tightly coupled high-fidelity computational fluid dynamics and…