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John Greenhall (Member, IEEE) received the B.S. and Ph.D. degrees in mechanical engineering with an emphasis on robotics from the University of Utah, Salt Lake City, UT, USA, in 2012 and 2017, respectively.
From 2016 to 2017, he worked as a Graduate Researcher in conjunction with the NASA Langley Research Center, Hampton, VA, USA, where he researched tailoring material microstructures using ultrasound to organize nano- and microparticles into user-specified patterns that are then fixated in place via stereolithography. He worked with the Los Alamos National Laboratory as a Post-Doctoral Researcher from 2017 to 2019, and as a Research Scientist from 2019 to present. He has authored over 11 journal publications. His research interests include experimental and theoretical acoustics, optimization, signal and image processing, and machine learning.
Dr. Greenhall awards include the NASA Space Technology Research Fellowship and the Distinguished Dissertation Award from The University of Utah Department of Mechanical Engineering.
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arXiv (Cornell University)no. 1 (2023): 016116-016116-6
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Controlno. 7 (2023): 736-747
Machine Learning with Applications (2023): 100476-100476
Machine Learning with Applications (2022): 100391
The Journal of the Acoustical Society of Americano. 4 (2021)
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