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Publication	Type	Year
Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Craig Michael Vineyard, Felix Wang	Marketing or Promotional – 2022 Marketing or Promotional	2022
Distributed Localization with Grid-based Representations on Digital Elevation Models International Conference on Neuromorphic Systems Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
Shortest Path Navigation using Reinforcement Learning 2022 MLDL Workshop Tyson Bailey, Abel Osvaldo Gomez Rivera, Srideep Musuvathy	Conference Presentation – 2022 Conference Presentation	2022
Distributed Localization with Grid-based Representations on Digital Elevation Models International Conference on Neuromorphic Systems Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
Localization through Grid-based Encodings on Digital Elevation Models Neuro-Inspired Computational Elements Workshop Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight Neuro-Inspired Computational Elements (NICE) Workshop 2022 Craig Michael Vineyard, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, John Darby Smith, William Mark Severa, Corinne Michelle Teeter, Felix Wang	Conference Presentation – 2022 Conference Presentation	2022
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight The 9th Annual Neuro-Inspired Computational Elements (NICE) workshop Craig Michael Vineyard, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Felix Wang, James Bradley Aimone	Conference Proceeding – 2022 Conference Proceeding	2022
Localization through Grid-based Encodings on Digital Elevation Models Neuro-Inspired Computational Elements Workshop Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
RELACSS: Reinforcement Learning for Ground-Station Cybersecurity Virtual Meeting with Prof. Huy Tran at UIUC Srideep Musuvathy	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Predictive Data-driven Platform for Subsurface Energy Production Hongkyu Yoon, Stephen Joseph Verzi, Katherine Regina Cauthen, Srideep Musuvathy, Darryl J. Melander, Kyle Norland, Adriana M Morales, Jonghyun Lee, Alexander Sun https://www.osti.gov/search/identifier:1821788	SAND Report – 2021 SAND Report	2021
GAMVT: A Generative Algorithm for MultiVariate Timeseries Data Joint Statistical Meetings (JSM) 2021 Jamie Thorpe, Srideep Musuvathy, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra, Meghan Anne Sahakian	Conference Paper – 2021 Conference Paper	2021
Fugu: Algorithm Development for Neuromorphic Hardware CSRI Summer Program 2021 Srideep Musuvathy	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Threat Data Generation for Space Systems 2021 IEEE Space Computing Conference (SCC) Meghan Anne Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra https://www.osti.gov/search/identifier:1873281	Conference Paper – 2021 Conference Paper	2021
Threat Data Generation for Space Systems 2021 IEEE Space Computing Conference (SCC) Meghan Anne Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra https://www.osti.gov/search/identifier:1873278	Conference Presentation – 2021 Conference Presentation	2021
GAMVT: A Generative Algorithm for Multi-Variate Timeseries Data Joint Statistical Meetings (JSM) 2021 Jamie Thorpe, Srideep Musuvathy, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra, Meghan Anne Sahakian	Abstract – 2021 Abstract	2021
Platform-Agnostic Neural Algorithm Composition using Fugu Neuro-Inspired Computational Elements William Mark Severa, James Bradley Aimone, Craig Michael Vineyard, Srideep Musuvathy, Yang Ho, Zubin Alexander Kane, Leah Reeder https://www.osti.gov/search/identifier:1856292	Conference Presentation – 2021 Conference Presentation	2021
Neural Network Approaches for Enabling Automatic Target Recognition WorkshopUncertainty Management and Machine Learning in Engineering Applications Craig Michael Vineyard, Ryan David Melzer, Srideep Musuvathy, John Richards, William Mark Severa, John Darby Smith https://www.osti.gov/search/identifier:1831567	Conference Presentation – 2020 Conference Presentation	2020
AIRSS: Adaptive Intrusion Response for Space Systems AFRL Catalyst Accelerator Meghan Anne Sahakian, Jamie Thorpe, Stephen Joseph Verzi, Srideep Musuvathy, Eric D. Vugrin, Matthew Dykstra, McKade Lee Umbenhower https://www.osti.gov/search/identifier:1830982	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Threat Data Generation for Space Systems 2021 IEEE Space Computing Conference Meghan Anne Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra	Abstract – 2020 Abstract	2020
Machine learning approaches for modeling spatio-temporal patterns in subsurface energy production American Geophysical Union Fall Meeting Katherine Regina Cauthen, Srideep Musuvathy, Jamshed Kaikaus, Stephen Joseph Verzi, Hongkyu Yoon	Abstract – 2020 Abstract	2020
Threat Data Generation for a More Resilient Response Sandia Machine Learning and Deep Learning (MLDL) Workshop Jamie Thorpe, Meghan Anne Sahakian, Srideep Musuvathy, Stephen Joseph Verzi, Matthew Dykstra, Eric D. Vugrin https://www.osti.gov/search/identifier:1811432	Conference Paper – 2020 Conference Paper	2020
Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks International Conference on Neuromorphic Systems Abrar Anwar, Suma George Cardwell, Srideep Musuvathy, William Mark Severa, Craig Michael Vineyard https://www.osti.gov/search/identifier:1808779	Conference Paper – 2020 Conference Paper	2020
Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks International Conference on Neuromorphic Systems Abrar Anwar, Suma George Cardwell, Srideep Musuvathy, William Mark Severa, Craig Michael Vineyard https://www.osti.gov/search/identifier:1804991	Conference Paper – 2020 Conference Paper	2020
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence Frontiers in Computational Neuroscience Frances S. Chance, James Bradley Aimone, Srideep Musuvathy, Michael Reed Smith, Craig Michael Vineyard, Felix Wang https://www.osti.gov/search/identifier:1617318	Journal Article – 2020 Journal Article	2020
Fugu: Algorithm Development for Neuromorphic Hardware Intel Neuromorphic Research Community Fall Workshop Srideep Musuvathy, James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Ryan Anthony Dellana, Yang Ho, Leah Evelyn Reeder, William Mark Severa, Craig Michael Vineyard, Felix Wang https://www.osti.gov/search/identifier:1646072	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Document Title	Type	Year

Results 1–25 of 27

Publications

Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing

Distributed Localization with Grid-based Representations on Digital Elevation Models

Shortest Path Navigation using Reinforcement Learning

Distributed Localization with Grid-based Representations on Digital Elevation Models

Localization through Grid-based Encodings on Digital Elevation Models

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Localization through Grid-based Encodings on Digital Elevation Models

RELACSS: Reinforcement Learning for Ground-Station Cybersecurity

Predictive Data-driven Platform for Subsurface Energy Production

GAMVT: A Generative Algorithm for MultiVariate Timeseries Data

Fugu: Algorithm Development for Neuromorphic Hardware

Threat Data Generation for Space Systems

Threat Data Generation for Space Systems

GAMVT: A Generative Algorithm for Multi-Variate Timeseries Data

Platform-Agnostic Neural Algorithm Composition using Fugu

Neural Network Approaches for Enabling Automatic Target Recognition

AIRSS: Adaptive Intrusion Response for Space Systems

Threat Data Generation for Space Systems

Machine learning approaches for modeling spatio-temporal patterns in subsurface energy production

Threat Data Generation for a More Resilient Response

Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks

Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence

Fugu: Algorithm Development for Neuromorphic Hardware