Leah Reeder


PhD Student

About


Leah Reeder is a first year PhD student in the Institute for Computational & Mathematical Engineering (ICME) at Stanford University. 

Publications


The Future of Computing: Integrating Scientific Computation on Neuromorphic Systems


Leah Reeder, James B Aimone, William M Severa


CSRI Summer Proceedings, Sandia National Laboratories, 2019


A Comprehensive Approach to Building a Neuromorphic Platform for Remote Computation


WM Severa, AJ Hill, CM Vineyard, MJ Kagie, R Dellana, L Reeder, F Wang, JB Aimone, A Yanguas-Gil


DoD Journal of Research & Engineering, microelectronics special edition, vol. 2(2), 2019 Aug, pp. 59-67


Exploring Fractional Derivatives and Trigonometric Functions


Leah Reeder, Kevin Ahrendt


Mines Undergraduate Research Journal: Reuleaux, vol. 1(1), 2019 Apr


Building a Comprehensive Neuromorphic Platform for Remote Computation


William Severa, Aaron J Hill, Craig M Vineyard, Angel Yanguas-Gil, Ryan Dellana, Leah Reeder, Felix Wang, James B Aimone


GOMACTech, Albuquerque, NM, 2019 Feb 24


Non-neural network applications for spiking neuromorphic hardware


James B Aimone, Kathleen E Hamilton, Susan Mniszewski, Leah Reeder, Catherine D Schuman, William M Severa


3rd International Workshop on Post-Moore’s Era Supercomputing (PMES 2018), Dallas, TX, 2018


View all

Projects


Animal Tracking - Inverse Reinforcement Learning


Partnered with CACI to develop CLI to determine reward maps for animals based on tracking data.

Pages


Achievements


Awards and Recognitions


Contact


Leah Reeder


PhD Student


lreeder​@mymail​.mines​.edu

720-239-3431

Institute for Computational & Mathematical Engineering


Stanford University