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Publication	Type	Year
Uncertainty Quantification within SECURE LDRD CIS Research Foundation External Review Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey Glatter, Emma Savannah Johnson, She?ifa Punla-Green	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	2022
Neuromorphic Graph Algorithms Ojas D. Parekh, Yipu Wang, Yang Ho, Cynthia Ann Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa https://www.osti.gov/search/identifier:1829422	SAND Report – 2021 SAND Report	2021
Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, She?ifa Punla-Green https://www.osti.gov/search/identifier:1821322	SAND Report – 2021 SAND Report	2021
Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, and She?ifa Punla-Green https://www.osti.gov/search/identifier:1820527	Report – 2021 Report	2021
Provable Advantages for Graph Algorithms in Spiking Neural Networks ACM Symposium on Parallelism in Algorithms and Architectures James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang	Conference Presentation – 2021 Conference Presentation	2021
Provable advantages for graph algorithms in spiking neural networks 33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2021) James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang https://www.osti.gov/search/identifier:1871422	Conference Paper – 2021 Conference Paper	2021
Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations Erin Acquesta, Laura Painton Swiler, Ali Pinar https://www.osti.gov/search/identifier:1673455	SAND Report – 2020 SAND Report	2020
Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang https://www.osti.gov/search/identifier:1814114	Conference Paper – 2020 Conference Paper	2020
Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020) James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang https://www.osti.gov/search/identifier:1808434	Conference Paper – 2020 Conference Paper	2020
SECURE: An Evidence-based Approach to Cyber Experimentation IEEE Resilience Week Ali Pinar, Zachary O. Benz, Andrea R Castillo, William Eugene Hart, Laura Painton Swiler, Thomas D. Tarman https://www.osti.gov/search/identifier:1643057	Conference Paper – 2019 Conference Paper	2019
Data Analytics are Powerful -- Handle with Care Chesapeake Large-Scale Analytics Conference Jeremy D Wendt, William Philip Kegelmeyer, Ali Pinar, Timothy Malcolm Shead, Gary Joseph Saavedra, Cosmin Safta, Joseph Bertino https://www.osti.gov/search/identifier:1642746	Conference Paper – 2019 Conference Paper	2019
Dynamic Programming with Spiking Neural Computing International Conference on Neuromorphic Systems James Bradley Aimone, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Helen Xu https://www.osti.gov/search/identifier:1641666	Conference Paper – 2019 Conference Paper	2019
Dynamic Programming with Spiking Neural Computing International Conference of Neuromorphic Systems (ICONS) 2019 James Bradley Aimone, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Helen Xu https://www.osti.gov/search/identifier:1641311	Conference Paper – 2019 Conference Paper	2019
Social-Media Network Collection Problems Workshop on Incomplete Network Data Jeremy D Wendt, Richard V. Field, Daniel Garcia, Tu-Thach Quach, Randall Wells, David John Zage, Cynthia Ann Phillips, Ali Pinar, Sucheta Soundarajan https://www.osti.gov/search/identifier:1364805	Conference Paper – 2016 Conference Paper	2016
Sandia Software for Networks from DARPA GRAPHS Program DARPA GRAPHS Special Projects Meeting Tamara G. Kolda, Todd Plantenga, Ali Pinar, Seshadhri Comandur, Jonathan W. Berry, Madhav Jha, Cynthia Ann Phillips, Christine Task https://www.osti.gov/search/identifier:1145819	Conference Paper – 2014 Conference Paper	2014
Statistically Significant Relational Data Mining: LDRD Report Dwayne L. Knirk, Vitus J. Leung, Cynthia Ann Phillips, Ali Pinar, David G. Robinson, Tanya Berger-Wolf, Sanjukta Bhowmick, Emily Casleton, Mark Kaiser, Daniel J. Nordman, Alyson G. Wilson https://www.osti.gov/search/identifier:1204082	SAND Report – 2014 SAND Report	2014
N-K-e Survivable Network Design The 12th International Conference on Probabilistic Methods applied to Power Systems Richard Li-Yang Chen, Neng Fan, Ali Pinar, Amy Cohn https://www.osti.gov/search/identifier:1067764	Conference Paper – 2012 Conference Paper	2012
N-k-epsilon Survivable Power Grid Design 12th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Neng Fan, Ali Pinar, Amy Cohn https://www.osti.gov/search/identifier:1113320	Conference Paper – 2011 Conference Paper	2011
Compressively sensed complex networks SIAM Annual Meeting Ali Pinar, Daniel Dunlavy https://www.osti.gov/search/identifier:1021676	Conference Paper – 2011 Conference Paper	2011
Computational Challenges in Optimization for Electrical Grid Operations and Planning SIAM Workshop on Combinatorial Scientific Computing Richard Li-Yang Chen, Patricia D. Hough, Ali Pinar, John Daniel Siirola, Jean-Paul Watson https://www.osti.gov/search/identifier:1143908	Conference Paper – 2011 Conference Paper	2011
Computational Challenges in Optimization for Electrical Grid Operations and Planning The SIAM workshop on Combinatorial Scientific Computing Ali Pinar, Jean-Paul Watson, Patricia D. Hough, John Daniel Siirola, Genetha A. Gray https://www.osti.gov/search/identifier:1108806	Conference Paper – 2011 Conference Paper	2011
Computational Needs for Design, Optimization, Control, and Analysis of Energy Efficient Buildings Computational Science Needs in the Design, Optimization and Operation of Energy Efficient Buildings John Daniel Siirola, Brian M. Adams, Samuel Scott Collis, Richard O. Griffith, Kyran D. Mish, Ali Pinar https://www.osti.gov/search/identifier:1677578	Other Publication – 2010 Other Publication	2010
Computational Needs for Design, Optimization, Control, and Analysis of Energy Efficient Buildings Computational Science Needs in the Design, Optimization and Operation of Energy Efficient Buildings John Daniel Siirola, Brian M. Adams, Samuel Scott Collis, Richard O. Griffith, Kyran D. Mish, Ali Pinar https://www.osti.gov/search/identifier:1677579	Other Publication – 2010 Other Publication	2010
Document Title	Type	Year

Publications

Uncertainty Quantification within SECURE LDRD

Neuromorphic Graph Algorithms

Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report

Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK

Provable Advantages for Graph Algorithms in Spiking Neural Networks

Provable advantages for graph algorithms in spiking neural networks

Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths

SECURE: An Evidence-based Approach to Cyber Experimentation

Data Analytics are Powerful -- Handle with Care

Dynamic Programming with Spiking Neural Computing

Dynamic Programming with Spiking Neural Computing

Social-Media Network Collection Problems

Sandia Software for Networks from DARPA GRAPHS Program

Statistically Significant Relational Data Mining: LDRD Report

N-K-e Survivable Network Design

N-k-epsilon Survivable Power Grid Design

Compressively sensed complex networks

Computational Challenges in Optimization for Electrical Grid Operations and Planning

Computational Challenges in Optimization for Electrical Grid Operations and Planning

Computational Needs for Design, Optimization, Control, and Analysis of Energy Efficient Buildings

Computational Needs for Design, Optimization, Control, and Analysis of Energy Efficient Buildings