Andrew J. Lohn

andrew lohn
Associate Engineer
Santa Monica Office

Education

Ph.D. in electrical engineering, University of California Santa Cruz; B.Eng. in engineering physics, McMaster University

Media Resources

This researcher is available for interviews.

To arrange an interview, contact the RAND Office of Media Relations at (310) 451-6913, or email media@rand.org.

More Experts

Overview

Andrew Lohn is an associate 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.

Selected Publications

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)

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):103501, 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):4486, 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, 332:99, 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):4512, 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):171, 2012

Andrew J. Lohn, Takehiro Onishi, Nobuhiko P. Kobayashi, "Optical Properties of Indium Phosphide Nanowire Ensembles at Various Temperatures," Nanotechnology, 21(35):355702, 2010

Honors & Awards

  • Certificate of Excellence, Sandia National Labs
  • National Graduate Student Award, American Vacuum Society
  • Excellence in Graduate Research Award, American Physical Society

Commentary

  • The Defense Advanced Research Projects Agency's Legged Squad Support System can relieve troops of their 100-pound equipment load, take voice commands, and maneuver around obstacles, in addition to numerous other tasks in the field

    Should We Fear an AI Arms Race?

    Stephen Hawking, Elon Musk, Steve Wozniak, and others signed a letter calling for a ban on the application of artificial intelligence to advanced weapons systems. AI weapons are not without risks, but the benefits are substantial and the risks can be mitigated with more moderate regulation than a ban.

    Feb 8, 2016 Defense One

  • The humanoid robot AILA (artificial intelligence lightweight android) operates a switchboard during a demonstration at the CeBit computer fair in Hanover, Germany, March, 5, 2013

    How to Overcome the Risks of Artificial Intelligence

    The warnings and promises of artificial intelligence aren't new, but advances in technology make them more pressing.

    Oct 22, 2015 TIME