Andrew Lohn is an engineer at the RAND Corporation. He applies a wide range of mathematical and machine learning techniques to provide new insights in highly technical policy issues like cyberwarfare, artificial intelligence, or drone delivery. His diverse skill set and flexibility allows for rigorous—often quantitative—methodologies even when the project direction is unclear at the start. Prior to joining RAND, Lohn worked in nanotechnology developing photovoltaics, thermoelectrics, optical systems, and computing devices at NASA, HP Labs, Sandia National Labs and a few small companies he spun out. He has published 50 peer reviewed academic papers and has 4 patents awarded or pending. Lohn holds a Ph.D. in electrical engineering from the University of California, Santa Cruz.
Andrew J. Lohn, Patrick R. Mickel, Conrad D. James, Matthew J. Marinella, "Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory," Applied Physics Letters, 105(10), 2014
Andrew J. Lohn, Patrick R. Mickel, Conrad D. James, Matthew J. Marinella, "Isothermal Switching and Detailed Filament Evolution in Memristive Systems," Advanced Materials, 26(26), 2014
Andrew J. Lohn, Barney L. Doyle, Gregory J. Stein, Patrick R. Mickel, Jim E. Stevens, Matthew J. Marinella, "Rutherford Forward Scattering and Elastic Recoil Detection (RFSERD) as a Method for Characterizing Ultra-Thin Films," Nuclear Instruments and Methods B, 332, 2014
David R. Hughart, Andrew J. Lohn, et. al., "A Comparison of the Radiation Response of TaOx and TiO2 Memristors," IEEE Transactions on Nuclear Science, 60(6), 2013
Andrew J. Lohn, Elaine Coleman, Gary S. Tompa, Nobuhiko P. Kobayashi, "Assessment on Thermoelectric Power Factor in Silicon Nanowire Networks," Physica Status Solidi A, 209(1), 2012
Andrew J. Lohn, Takehiro Onishi, Nobuhiko P. Kobayashi, "Optical Properties of Indium Phosphide Nanowire Ensembles at Various Temperatures," Nanotechnology, 21(35), 2010
Andrew J. Lohn, Patrick R. Mickel, James B. Aimone, Erik P. Debenedictis, Matthew J. Marinella "Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change," in Robinson Pino, Cybersecurity Systems for Human Cognition Augmentation, Springer, 2014 (forthcoming)