Curriculum vitae
1 Education
| Degree | Subject | School | Started | Finished |
|---|---|---|---|---|
| Ph.D. | computational science | Georgia Institute of Technology | 2018/08 | not yet |
| B.S. | computer science, physics | University of Tennessee | 2014/08 | 2018/05 |
| - | - | elementary, middle, high | 2000/08 | 2014/05 |
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2 Work experience
| Workplace | Job title | Description | Started | Finished |
|---|---|---|---|---|
| Georgia Institute of Technology | Student Research Assistant | Researching sequential data assimilation for CO2 reservoir monitoring. | 2022/08 | not yet |
| Argonne National Laboratory | Givens Associate (internship) | Implemented a machine learning algorithm (SINDy) in PETSc. | 2020/05 | 2020/07 |
| Georgia Institute of Technology | Student Research Assistant | Programmed a software toolkit designed to make working with constitutive relations easier. (See https://gitlab.com/crikit/crikit) | 2018/08 | 2022/06 |
| University of Tennessee | Student Research Assistant | Built applications that use spiking neural networks generated by an evolutionary optimization algorithm to solve control or classification problems. See https://neuromorphic.eecs.utk.edu for more details. | 2016/08 | 2018/05 |
| The White Stone Group (now Vyne Medical) | Software Integration Specialist | Worked with integration specialists from other hospital software groups to set up and maintain data interfaces for transferring patient data or documents. These included HL7 ADT interfaces as well as exports or imports of documents into document management system software, using Iguana interface engine, Lua, and SQL. | 2015/05 | 2016/05 |
| The White Stone Group (now Vyne Medical) | Software Intern | As part of development team, learned and utilized Microsoft Visual Studio, C#, and SQL. Devised and implemented software test plans. Performed QA testing of new software changes. | 2014/12 | 2015/05 |
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3 Publications
Ambrose, Jonathan D, Adam Z Foshie, Mark E Dean, James S Plank, Garrett S Rose, J Parker Mitchell, Catherine D Schuman, and Grant Bruer. 2020. “Grant: Ground-Roaming Autonomous Neuromorphic Targeter.” In 2020 International Joint Conference on Neural Networks (IJCNN), 1–8. IEEE.
Buckley, Sonia, Adam N McCaughan, Jeff Chiles, Richard P Mirin, Sae Woo Nam, Jeffrey M Shainline, Grant Bruer, James S Plank, and Catherine D Schuman. 2018. “Design of Superconducting Optoelectronic Networks for Neuromorphic Computing.” In 2018 IEEE International Conference on Rebooting Computing (ICRC), 1–7. IEEE.
Klibisz, Aleksander, Grant Bruer, James S Plank, and Catherine D Schuman. 2017. “Structure-Based Fitness Prediction for the Variable-Structure DANNA Neuromorphic Architecture.” In 2017 International Joint Conference on Neural Networks (IJCNN), 3431–38. IEEE.
Mitchell, J Parker, Grant Bruer, Mark E Dean, James S Plank, Garrett S Rose, and Catherine D Schuman. 2017. “NeoN: Neuromorphic Control for Autonomous Robotic Navigation.” In 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), 136–42. IEEE.
Mitchell, J Parker, Mark E Dean, Grant R Bruer, James S Plank, and Garrett S Rose. 2018. “DANNA 2: Dynamic Adaptive Neural Network Arrays.” In Proceedings of the International Conference on Neuromorphic Systems, 1–6.
Plank, James S, Catherine D Schuman, Grant Bruer, Mark E Dean, and Garrett S Rose. 2018. “The TENNLab Exploratory Neuromorphic Computing Framework.” IEEE Letters of the Computer Society 1 (2): 17–20.
Plank, James, Charles Rizzo, Kirolos Shahat, Grant Bruer, Trevor Dixon, Michael Goin, Grace Zhao, et al. 2019. “The TENNLab Suite of LIDAR-Based Control Applications for Recurrent, Spiking, Neuromorphic Systems.” Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States).
Reynolds, John JM, James S Plank, Catherine D Schuman, Grant R Bruer, Adam W Disney, Mark E Dean, and Garrett S Rose. 2018. “A Comparison of Neuromorphic Classification Tasks.” In Proceedings of the International Conference on Neuromorphic Systems, 1–8.
Schuman, Catherine D, Grant Bruer, Aaron R Young, Mark Dean, and James S Plank. 2018. “Understanding Selection and Diversity for Evolution of Spiking Recurrent Neural Networks.” In 2018 International Joint Conference on Neural Networks (IJCNN), 1–8. IEEE.
Schuman, Catherine D, Adam Disney, Susheela P Singh, Grant Bruer, J Parker Mitchell, Aleksander Klibisz, and James S Plank. 2016. “Parallel Evolutionary Optimization for Neuromorphic Network Training.” In 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), 36–46. IEEE.
Schuman, Catherine D, James S Plank, Grant Bruer, and Jeremy Anantharaj. 2019. “Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems.” In 2019 International Joint Conference on Neural Networks (IJCNN), 1–10. IEEE.
Schuman, Catherine D, James S Plank, Garrett S Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, and Nouamane Laanait. 2017. “A Programming Framework for Neuromorphic Systems with Emerging Technologies.” In Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 1–7.