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, (2022). Uncertainty Quantification within SECURE LDRD CIS Research Foundation External Review Document ID: 1551270
Alexander V. Outkin, Patricia V. Schulz, Timothy Schulz, Thomas D. Tarman, Ali Pinar, (2022). Defender Policy Evaluation and Resource Allocation With MITRE ATT&CK Data and Evaluations Journal Of Ieee Transactions On Dependable And Secure Computing https://www.osti.gov/search/identifier:1870465 Document ID: 1493729
Alexander V. Outkin, Patricia V. Schulz, Timothy Schulz, Thomas D. Tarman, Ali Pinar, (2022). Defender Policy Evaluation and Resource Allocation With MITRE ATT&CK Data and Evaluations Journal Of Ieee Transactions On Dependable And Secure Computing https://www.osti.gov/search/identifier:1870459 Document ID: 1493227
Ali Pinar, (2021). SECURE: Science and Engineering of Cyber security by Uncertainty quantification and Rigorous Experimentation Milcom 2021 Document ID: 1392844
Ojas D. Parekh, Yipu Wang, Yang Ho, Cynthia Ann Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa, (2021). Neuromorphic Graph Algorithms https://www.osti.gov/search/identifier:1829422 Document ID: 1391697
Ali Pinar, (2021). Rigorous Cyber Experimentation to Inform Decisions about High Consequence Systems Milcom 21 Document ID: 1391522
Daniel Jason Mayes, Thomas D. Tarman, Ali Pinar, (2021). CESoS ’21 Workshop Workshop on Cyber Experimentation and the Science of Security Document ID: 1370044
Daniel Jason Mayes, Thomas D. Tarman, Ali Pinar, (2021). Workshop on Cyber Experimentation and the Science of Security (CESoS ?21) Document ID: 1368794
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, (2021). Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report https://www.osti.gov/search/identifier:1821322 Document ID: 1367498
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, (2021). Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK https://www.osti.gov/search/identifier:1820527 Document ID: 1357032
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2021). Handling runtime variability at scale: elasticity for continuously changing graphs SIAM Conference on Parallel Processing for Scientific Computing Document ID: 1356432
Ali Pinar, (2021). SECURE Advisory Board Meeting SECURE Advisory Board Meeting Document ID: 1356147
Kasimir Georg Gabert, Kaan Sancak, M. Yusuf Ozkaya, Ali Pinar, Umit V. Catalyurek, (2021). ElGA: Elastic and Scalable Dynamic Graph Analysis The International Conference for High Performance Computing, Networking, Storage, and Analysis Document ID: 1344103
Alexander V. Outkin, Patricia V. Schulz, Timothy Schulz, Thomas D. Tarman, Ali Pinar, (2021). Defender Policy Evaluation and Resource Allocation against MITRE ATT&CK Data and Evaluations https://www.osti.gov/search/identifier:1821969 Document ID: 1329503
James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2021). Provable Advantages for Graph Algorithms in Spiking Neural Networks ACM Symposium on Parallelism in Algorithms and Architectures Document ID: 1319287
Ali Pinar, Thomas D. Tarman, Derek H. Hart, Cynthia K. Veitch, (2021). Cyber experimentation to inform decisions about high consequence systems Customer Visit Document ID: 1319056
James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2021). Provable advantages for graph algorithms in spiking neural networks 33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2021) https://www.osti.gov/search/identifier:1871422 Document ID: 1307449
Ali Pinar, (2021). Rigorous Cyber Experimentation for Science of Security Lab Research Technical Exchange https://www.osti.gov/search/identifier:1870571 Document ID: 1317626
Ali Pinar, (2021). Abstract and bio for Ali Pinar’s talk Inter Agency Talk Document ID: 1317547
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2021). Shared-Memory Scalable k-Core Maintenance on Dynamic Graphs and Hypergraphs Workshop on Parallel and Distributed Processing for Computational Social Systems https://www.osti.gov/search/identifier:1868002 Document ID: 1306580
Daniel Jason Mayes, Ali Pinar, (2021). Secure SECURE Workshop & EABs Document ID: 1281179
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2021). Shared-Memory Scalable k-Core Maintenance on Dynamic Graphs and Hypergraphs 35th IEEE International Parallel and Distributed Processing Symposium https://www.osti.gov/search/identifier:1855934 Document ID: 1281003
Ali Pinar, (2021). Cyber Security: A New Front for Computational Science and Engineering Inst. Mathematics and Applications U. Minnesota https://www.osti.gov/search/identifier:1855566 Document ID: 1279440
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2021). A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores Fourteenth ACM International Conference on Web Search and Data Mining https://www.osti.gov/search/identifier:1847578 Document ID: 1279716
Fulton Wang, Ali Pinar, (2021). The Multiple Instance Learning Gaussian Process Probit Model Artificial Intelligence and Statistics Conference (AISTATS) https://www.osti.gov/search/identifier:1847472 Document ID: 1279111
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2021). A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores Fourteenth ACM International Conference on Web Search and Data Mining https://www.osti.gov/search/identifier:1843747 Document ID: 1267157
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2021). A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores ACM International Conference on Web Search and Data Mining https://www.osti.gov/search/identifier:1842570 Document ID: 1256312
Kasimir Georg Gabert, Ali Pinar, Umit Catalyurek, (2020). Finding Dense Areas of Massive Changing Graphs Supercomputing https://www.osti.gov/search/identifier:1830901 Document ID: 1231892
Fulton Wang, Ali Pinar, (2020). Developing an Active Learning algorithm for learning Bayesian classifiers under the Multiple Instance Learning scenario https://www.osti.gov/search/identifier:1821545 Document ID: 1207505
Erin Acquesta, Laura Painton Swiler, Ali Pinar, (2020). Time Series Dimension Reduction for Surrogate Models of Port Scanning Cyber Emulations https://www.osti.gov/search/identifier:1673455 Document ID: 1196383
Eric D. Vugrin, Gerardo Cruz, Christian Reedy, Thomas D. Tarman, Ali Pinar, (2020). Cyber Threat Modeling & Validation: Port Scanning & Detection 7th Annual Hot Topics in the Science of Security https://www.osti.gov/search/identifier:1819038 Document ID: 1195837
James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures https://www.osti.gov/search/identifier:1814114 Document ID: 1162052
Yusuf Ozkaya, Fatih Balin, Ali Pinar, Umit atalyrek, (2020). A scalable graph generation algorithm to sample over a given shell distribution GrAPL 2020 – 2020 Workshop on Graphs, Architectures, Programming, and Learning https://www.osti.gov/search/identifier:1808780 Document ID: 1161725
James Bradley Aimone, Yang Ho, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Yipu Wang, (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020) https://www.osti.gov/search/identifier:1808434 Document ID: 1138751
Kasimir Georg Gabert, Ali Pinar, Dylan Zachary Anderson, (2020). Extracting Stable Community Information on Relational Data NSARD Program Review https://www.osti.gov/search/identifier:1776523 Document ID: 1104749
Eric D. Vugrin, Gerardo Cruz, Christian Reedy, Thomas D. Tarman, Ali Pinar, (2020). Cyber Threat Modeling and Validation: Port Scanning and Detection HotSoS 2020Hot Topics in the Science of Security https://www.osti.gov/search/identifier:1770277 Document ID: 1103455
Kasimir Georg Gabert, Ali Pinar, (2020). Extracting Stable Community Information on Relational Data Conference on Data Analysis https://www.osti.gov/search/identifier:1766746 Document ID: 1091777
Ricky Laishram, Erdem Sariyuce, Tina Eliassi-Rad, Ali Pinar, Sucheta Soundarajan, (2020). Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core SIAM Data Mining https://www.osti.gov/search/identifier:1766701 Document ID: 1092175
Ali Pinar, (2020). Rigorous Cyber Experimentation for Security of Cyber Physical Systems INFORMS Conference on Security https://www.osti.gov/search/identifier:1766675 Document ID: 1092169
Kasimir Georg Gabert, Ali Pinar, (2020). Extracting Stable Community Information on Relational Data Conference on Data Analysis Document ID: 1089620
Ali Pinar, Zachary O. Benz, Andrea R Castillo, William Eugene Hart, Laura Painton Swiler, Thomas D. Tarman, (2019). SECURE: An Evidence-based Approach to Cyber Experimentation IEEE Resilience Week https://www.osti.gov/search/identifier:1643057 Document ID: 1054371
Fulton Wang, Jaideep Ray, Ali Pinar, (2019). Multiple Instance Learning: Application to Seismic Event Detection and Open Problems Span https://www.osti.gov/search/identifier:1646086 Document ID: 986390
Jeremy D Wendt, William Philip Kegelmeyer, Ali Pinar, Timothy Malcolm Shead, Gary Joseph Saavedra, Cosmin Safta, Joseph Bertino, (2019). Data Analytics are Powerful — Handle with Care Chesapeake Large-Scale Analytics Conference https://www.osti.gov/search/identifier:1642746 Document ID: 1032697
James Bradley Aimone, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Helen Xu, (2019). Dynamic Programming with Spiking Neural Computing International Conference on Neuromorphic Systems https://www.osti.gov/search/identifier:1641666 Document ID: 996846
Leanne Susan Whitmore, Bernard Nguyen, Ali Pinar, Anthe George, Corey Hudson, (2019). RetSynth: Determining all optimal and sub-optimal synthetic pathways that facilitate synthesis of target compounds in chassis organisms BMC Bioinformatics https://www.osti.gov/search/identifier:1570223 Document ID: 998437
Ali Pinar, BeiBei Chen, (2019). Secure Grand Challenge Newsletter Fy19q3 Highlights Document ID: 996632
James Bradley Aimone, Ojas D. Parekh, Cynthia Ann Phillips, Ali Pinar, William Mark Severa, Helen Xu, (2019). Dynamic Programming with Spiking Neural Computing International Conference of Neuromorphic Systems (ICONS) 2019 https://www.osti.gov/search/identifier:1641311 Document ID: 996589
Fulton Wang, Ali Pinar, (2019). Interpretable Sequence Classification via Sparse Multiple Instance Learning Icml https://www.osti.gov/search/identifier:1641183 Document ID: 973571
Fulton Wang, Ali Pinar, (2019). Multiple Instance Learning ADAPD Technical Exchange https://www.osti.gov/search/identifier:1645324 Document ID: 960702
Ali Pinar, BeiBei Chen, (2019). Secure Grand Challenge Newsletter ? Fy19q2 Highlights Document ID: 960215
Ali Pinar, (2019). SECURE: An Evidence-based Approach to Cybersecurity Graph Exploitation Symposium https://www.osti.gov/search/identifier:1648758 Document ID: 960099
Ali Pinar, (2019). SECURE Overview NE-ISO Visit Document ID: 959876
Ali Pinar, (2019). SECURE: An Evidence-based Approach to Cybersecurity– Technical Overview SECURE External Advisory Board https://www.osti.gov/search/identifier:1644958 Document ID: 936148
Ali Pinar, (2018). Inferring Graph Properties with Limited Access to the Graph Privacy in Graphs https://www.osti.gov/search/identifier:1761096 Document ID: 889990
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, (2018). An Example of Counter-Adversarial Community Detection Analysis https://www.osti.gov/search/identifier:1481570 Document ID: 854888
Jeremy D Wendt, Jeremy D Wendt, William Philip Kegelmeyer, Ali Pinar, (2018). Counter-Adversarial Graph Analytics CIS External Advisory Board Document ID: 808308
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, Clifford Isaac Anderson-Bergman, (2018). Counter-Adversarial Node Labeling Conference on Data Analytics https://www.osti.gov/search/identifier:1498446 Document ID: 771618
Bert Debusschere, Jeremy Alan Templeton, Cosmin Safta, Khachik Sargsyan, Ali Pinar, Habib N. Najm, (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations DOE ASCR Scientific Machine Learning Workshop https://www.osti.gov/search/identifier:1513665 Document ID: 749936
Ali Pinar, Tamara G. Kolda, Kevin Thomas Carlberg, Grey Ballard, Michael Mahoney, (2018). Unsupervised Learning Through Randomized Algorithms for High-Volume, High-Velocity Data (ULTRA-HV) https://www.osti.gov/search/identifier:1417788 Document ID: 738665
Bert Debusschere, Jeremy Alan Templeton, Cosmin Safta, Khachik Sargsyan, Ali Pinar, Habib N. Najm, (2018). Predictive Fidelity of Machine Learning Methods Applied to Scientific Simulations Scientific Machine Learning Workshop https://www.osti.gov/search/identifier:1512381 Document ID: 738728
Ali Pinar, (2018). Accurate Characterization of Real Networks from Inaccurate Measurements https://www.osti.gov/search/identifier:1814082 Document ID: 738108
Tina Marie Kouri, Ali Pinar, (2017). Exploiting Social Media Sensor Networks through Novel Data Fusion Techniques https://www.osti.gov/search/identifier:1431510 Document ID: 682757
Yusuf Ozkaya, Erdem Sariyuce, Umit Catalyurek, Ali Pinar, (2017). Active Betweenness Cardinality: Algorithms and Applications https://www.osti.gov/search/identifier:1733256 Document ID: 726621
Corey Hudson, Leanne Susan Whitmore, Ali Pinar, Anthe George, (2017). RetSynth: Solving all optimal retrosynthesis solutions using dynamically constrained integer linear programming Bioinformatics Document ID: 726810
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, Kristine Altenburger, (2017). Counter Adversarial Graph Analytics Data Institute San Francisco Annual Conference https://www.osti.gov/search/identifier:1480222 Document ID: 703854
Corey Hudson, Leanne Susan Whitmore, Ali Pinar, (2017). BioRetroSynth: Identifying All Optimal Routes for Synthetic Biological and Hybrid Synthetic Biological/Chemical Production Bioscience External Review Board https://www.osti.gov/search/identifier:1510400 Document ID: 703372
Ahmet Erdem Sariyuce, Ali Pinar, (2017). Understanding the Hierarchy of Dense Subgraphs in Stationary and Temporally Varying Setting https://www.osti.gov/search/identifier:1527314 Document ID: 671557
Bert Debusschere, Ali Pinar, Khachik Sargsyan, Jeremy Alan Templeton, Habib N. Najm, (2017). Predictive Fidelity, Interpretability, and Resilience of Machine Learning Methods Applied to Scientific Simulations DOE ASCR PI meeting https://www.osti.gov/search/identifier:1508933 Document ID: 670361
Clifford Isaac Anderson-Bergman, William Philip Kegelmeyer, Ali Pinar, Jeremy D Wendt, (2017). Generating Network Graphs for CAGA CIS External Review Board Review https://www.osti.gov/search/identifier:1464726 Document ID: 659851
Kristen Marie Altenburger, William Philip Kegelmeyer, Ali Pinar, Jeremy D Wendt, (2017). A Community and Node Attribute-Corrected Stochastic Blockmodel Joint Statistical Meetings https://www.osti.gov/search/identifier:1648676 Document ID: 637289
Ali Pinar, (2017). Using Local Measurements to Infer Global Network Properties SIAM Conference on Optimization https://www.osti.gov/search/identifier:1458062 Document ID: 624811
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, Kristen Marie Altenburger, (2017). Counter-Adversarial Community Detection Graph Exploitation Symposium https://www.osti.gov/search/identifier:1457841 Document ID: 623374
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, Kristen Marie Altenburger, (2017). Counter Adversarial Community Detection Graph Exploitation Symposium https://www.osti.gov/search/identifier:1525078 Document ID: 623357
William Philip Kegelmeyer, Kristen Marie Altenburger, William Philip Kegelmeyer, Ali Pinar, Jeremy D Wendt, (2017). Community and Node Attribute Corrected Stochastic Block Model Joint Statistical Meetings (JSM) Document ID: 612638
Ahmet Erdem Sariyuce, Ali Pinar, (2016). Butterfly Effect: Peeling Bipartite Networks International World Wide Web Conference 2017 (submitted) https://www.osti.gov/search/identifier:1413642 Document ID: 553079
Ali Pinar, (2016). An Advanced Framework for Representing and Computing with Random Variables DARPA Stochastic Augmented Graph Analytics Workshop Document ID: 554715
Ali Pinar, C. Seshadhri, V. Vishal, (2016). ESCAPE: Efficiently Counting All 5-Vertex Subgraphs 26th World Wide Web Conference https://www.osti.gov/search/identifier:1408315 Document ID: 553385
Jianqiang Cheng, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2016). Chance-Constrained Economic Dispatch with Renewable Energy and Storage Computational Optimization and Applications Document ID: 529829
Tamara G. Kolda, Ali Pinar, Sinan Aksoy, (2016). Measuring and Modeling Bipartite Graphs with Community Structure https://www.osti.gov/search/identifier:1561802 Document ID: 506900
Shweta Rajnikant Jain, Ali Pinar, (2016). Moment(s) of Truth: Estimating moments of a degree distribution Student Intern Symposium Document ID: 506964
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2016). A Sparse Quadrature Approach for Stochastic Optimization in Power Grid Models International Conference on Stochastic Programming https://www.osti.gov/search/identifier:1367949 Document ID: 475362
Cosmin Safta, Richard Li-Yang Chen, Ali Pinar, Khachik Sargsyan, Habib N. Najm, Ryan Michael Keedy, Victor Brunini, Jean-Paul Watson, (2016). Enhanced Predictive Capabili(ies for Computational Models 2016 Cis Erb Document ID: 453781
Ali Pinar, (2016). Sampling Algorithms for Network Analysis Computing and Information Sciences External Review Board https://www.osti.gov/search/identifier:1368704 Document ID: 464027
Christopher Quinn, Ali Pinar, Jing Gao, Lu Su, (2016). Sparse Approximations of Directed Information Graphs 2016 IEEE International Symposium on Information Theory https://www.osti.gov/search/identifier:1368858 Document ID: 442688
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, (2016). Counter-Adversarial Graph Algorithms 2016 Cis Erb Document ID: 453756
Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, Ali Pinar, (2016). MaxReach: Reducing Network Incompleteness through Node Probes The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining https://www.osti.gov/search/identifier:1367113 Document ID: 442841
Ali Pinar, (2016). Models and Measurements of Big Graphs Bay Area Discrete Mathematics Day https://www.osti.gov/search/identifier:1365094 Document ID: 431088
Cosmin Safta, Jianqiang Cheng, Richard Li-Yang Chen, Ali Pinar, Habib N. Najm, Jean-Paul Watson, (2016). Surrogate-based model for optimization under uncertainty Siam Uq 2016 https://www.osti.gov/search/identifier:1618234 Document ID: 430868
Cosmin Safta, Richard Li-Yang Chen, Ali Pinar, Habib N. Najm, Jean-Paul Watson, (2016). Employing Sparse Quadrature for Stochastic Optimization in Power Grids Siam Uq 2016 https://www.osti.gov/search/identifier:1618230 Document ID: 430711
Jeremy D Wendt, Richard V. Field, Daniel Garcia, Tu-Thach Quach, Randall Wells, David John Zage, Cynthia Ann Phillips, Ali Pinar, Sucheta Soundarajan, (2016). Social-Media Network Collection Problems Workshop on Incomplete Network Data https://www.osti.gov/search/identifier:1364805 Document ID: 409614
Jianqiang Cheng, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Cosmin Safta, Jean-Paul Watson, (2016). Distributionally Robust Optimization with Principal Component Analysis Informs Journal on Computing Document ID: 408822
William Philip Kegelmeyer, Jeremy D Wendt, Ali Pinar, (2016). Counter-Adversarial Community Detection: Initial Investigations Conference on Data Analysis 2016 https://www.osti.gov/search/identifier:1345107 Document ID: 398536
Ali Pinar, C. Seshadhri, vishal Vaidyanathan, (2016). ESCAPE: Efficiently Counting All 5-Vertex Subgraphs 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://www.osti.gov/search/identifier:1422156 Document ID: 398311
Ali Pinar, Madhav Jha, C. Seshadhri, (2015). Counting Triangles in Real-World Graph Streams: Dealing with Repeated Edges and Time Windows 49th Asilomar Conference on Signals, Systems and Computers https://www.osti.gov/search/identifier:1333468 Document ID: 354363
Ali Pinar, Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, (2015). MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks Proc. NIPS workshop Networks in the Social and Information Sciences https://www.osti.gov/search/identifier:1333467 Document ID: 354621
Janine Camille Bennett, Ali Pinar, C. Seshadhri, David Thompson, Maher Salloum, Ankit Bhagatwala, Jacqueline H. Chen, (2015). Final Report: Sublinear Algorithms for In-situ and In-transit Data Analysis at Exascale https://www.osti.gov/search/identifier:1227346 Document ID: 342430
Tamara G. Kolda, Sinan Aksoy, Ali Pinar, Todd Plantenga, Seshadhri Comandur, Dylan Stark, (2015). Modeling Large-Scale Networks 40th Numerical Analysis Conference Woudschoten Past, Present and Future of Scientific Computing https://www.osti.gov/search/identifier:1328395 Document ID: 342251
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Jianqiang Cheng, Ali Pinar, Jean-Paul Watson, (2015). Adaptive Sparse Quadrature for Stochastic Optimization 14th International Conference on Stochastic Programming Document ID: 341816
Cosmin Safta, Jianqiang Cheng, Habib N. Najm, Ali Pinar, Richard Li-Yang Chen, Jean-Paul Watson, (2015). Chance Constrained Economic Dispatch Problem with Renewable Energy and Energy Storage IEEE Transactions on Power Systems https://www.osti.gov/search/identifier:1427212 Document ID: 341751
Maher Salloum, Janine Camille Bennett, Ali Pinar, Ankit Bhagatwala, Jacqueline H. Chen, (2015). Enabling adaptive scientific workflows via trigger detection ISAV 2015In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization https://www.osti.gov/search/identifier:1306103 Document ID: 320118
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2015). Efficient Representation of Uncertainty for Stochastic Economic Dispatch IEEE Transactions in Power Systems https://www.osti.gov/search/identifier:1512902 Document ID: 319952
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations 13th US Congress on Computational Mechanics https://www.osti.gov/search/identifier:1301962 Document ID: 319223
William Philip Kegelmeyer, Ali Pinar, David John Zage, (2015). Counter-Adversarial Data Analytics: Machine Learning (and Graph Analysis) Graph Exploitation Symposium https://www.osti.gov/search/identifier:1530955 Document ID: 307655
Grey Ballard, Ali Pinar, Tamara G. Kolda, C. Seshadri, (2015). Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search International Conference on Data Mining https://www.osti.gov/search/identifier:1530953 Document ID: 286869
Ali Pinar, Janine Camille Bennett, Maher Salloum, Ankit Bhagatwala, Jacqueline H. Chen, C. Seshadhri, (2015). Trigger Detection For Adaptive Scientific Workflows Using Percentile Sampling SIAM Journal on Scientific Computing https://www.osti.gov/search/identifier:1512890 Document ID: 307460
Ali Pinar, Christopher Quinn, Negar Kiyavash, (2015). Bounded Degree Approximations of Stochastic Networks Journal of Machine Learning Research https://www.osti.gov/search/identifier:1427284 Document ID: 296900
Ali Pinar, Madhav jha, C. seshadhri, (2015). Path Sampling: A Fast and Provable Method for Estimating 4- vertex subgraph counts Interaltional Conference on World Wide web https://www.osti.gov/search/identifier:1258223 Document ID: 275366
Ali Pinar, Janine Camille Bennett, Philippe Pierre Pebay, Hemanth Kolla, David Thompson, (2015). A Dashboard for Comparative Visualization of Many-variate Data IEEE Scientific Visualization (SciVis) https://www.osti.gov/search/identifier:1252944 Document ID: 243740
Tamara G. Kolda, Ali Pinar, Seshadhri (UC Santa Cruz) Comandur, (2015). Graph Characterization and Sampling Algorithms Computer Information Science (CIS) Review https://www.osti.gov/search/identifier:1249461 Document ID: 254330
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations Siam Cse 2015 https://www.osti.gov/search/identifier:1331642 Document ID: 232886
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2015). An Efficient Approach for Stochastic Optimization of Electricity Grid Operations 13th U.S. National Congress on Computational Mechanics Document ID: 221374
Tamara G. Kolda, Grey Ballard, Ali Pinar, Seshadhri Comandur, (2015). Computing the Largest Entries in a Matrix Product via Sampling Workshop on Optimization and Matrix Methods in Big Data https://www.osti.gov/search/identifier:1238218 Document ID: 221198
Ali Pinar, Ahmet Erdem Sariyuce, C. Seshadhri, Umit Catalyurek, (2015). Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions SIAM W. Network Science Document ID: 220284
Ali Pinar, (2015). Resiliency of the Power Grid UCSB Institute for Energy Effiiciency Collouquim https://www.osti.gov/search/identifier:1244880 Document ID: 220064
Seshadhri Comandur, Ali Pinar, Tamara G. Kolda, Nurcan Durak, (2014). Directed closure measures for networks with reciprocity Journal of Complex Networks https://www.osti.gov/search/identifier:1184592 Document ID: 207750
Seshadhri Comandur, Ali Pinar, Ahmet Erdem (Ohio State U) Sariyuce, Umit (Ohio State U) Catalyurek, (2014). Finding Hierarchical and Overlapping Dense Subgraphs using Nucleus Decompositions https://www.osti.gov/search/identifier:1172917 Document ID: 208266
Ali Pinar, (2014). Sampling and Streaming Algorithms for Counting Small Patterns in BIG Graphs Dagstuhl Workshop on Grapjh algorithms for scientific computing https://www.osti.gov/search/identifier:1367646 Document ID: 208024
Ali Pinar, Seshadhri Comandur, (2014). Time is of essence in graph analysis Workshop on Streaming Graph Algorithms https://www.osti.gov/search/identifier:1242047 Document ID: 197520
Madhav Jha, Ali Pinar, Seshadhri Comandur, (2014). Counting Triangles in Real-World Graph Streams: Dealing with Repeated Edges and Time Windows SIAM Data Mining https://www.osti.gov/search/identifier:1315020 Document ID: 176939
Ali Pinar, Sucheta Soundarajan, Tina Eliassi-Rad, Brian Gallagher, (2014). Strategies for Probing Incomplete Graphs SIAM Data Mining https://www.osti.gov/search/identifier:1315684 Document ID: 176940
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2014). Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems North American Power Symposium 2014 https://www.osti.gov/search/identifier:1502701 Document ID: 155155
Ali Pinar, (2014). Sampling and Streaming Algorithms for Counting Small Patterns in Large Graphs MIT Lincoln Labs Graph Exploitation Workshop https://www.osti.gov/search/identifier:1502177 Document ID: 144497
Ali Pinar, (2014). Fast Algorithms for Evolving Graphs via Assays, Sampling & Theory (FEAST) DARPA PI Meeting https://www.osti.gov/search/identifier:1502162 Document ID: 143007
Seshadhri Comandur, Ali Pinar, David (Kitware) Thompson, Janine Camille Bennett, (2014). Sublinear Algorithms for Extreme-Scale Data Analysis Topological and statistical methods for complex data – Tackling large-scale, high-dimensional, and multivariate data sets Document ID: 143071
Tamara G. Kolda, Ali Pinar, Seshadhri Comandur, Todd Plantenga, (2014). Analytical and Algorithmic Challenges in Network Analysis SIAM Combinatorial Scientific Computing Workshop Document ID: 132882
Ali Pinar, Tamara G. Kolda, Changbin Peng, (2014). Accelerating Community Detection by using k-core subgraphs Siam Workshop on Network Science https://www.osti.gov/search/identifier:1496714 Document ID: 112463
Ali Pinar, Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Jean-Paul Watson, (2014). Probabilistic Methods for Power Grid Networks SIAM Workshop on Network Science https://www.osti.gov/search/identifier:1496919 Document ID: 112337
Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson, (2014). Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems 2014 North American Power Symposium https://www.osti.gov/search/identifier:1145541 Document ID: 5336429
Tamara G. Kolda, Todd Plantenga, Ali Pinar, Seshadhri Comandur, Jonathan W. Berry, Madhav Jha, Cynthia Ann Phillips, Christine Task, (2014). Sandia Software for Networks from DARPA GRAPHS Program DARPA GRAPHS Special Projects Meeting https://www.osti.gov/search/identifier:1145819 Document ID: 5336213
Cosmin Safta, Habib N. Najm, Ali Pinar, Richard Li-Yang Chen, Jean-Paul Watson, (2014). Probabilistic methods for power grid networks SIAM Workshop on Network Science (NS14) https://www.osti.gov/search/identifier:1141004 Document ID: 5333494
Gregory A. Rochau, Jaideep Ray, Ali Pinar, Seshadhri Comandur, (2014). A stopping criterion for Markov chains when generating independent random graphs Journal of Complex Networks https://www.osti.gov/search/identifier:1140957 Document ID: 5333495
Tamara G. Kolda, Ali Pinar, Chengbin Peng, (2014). Accelerating Community Detection by Using K-core Subgraphs https://www.osti.gov/search/identifier:1684948 Document ID: 5333302
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, (2014). Statistically Significant Relational Data Mining: LDRD Report https://www.osti.gov/search/identifier:1204082 Document ID: 5332643
Madhav Jha, Seshadhri Comandur, Ali Pinar, (2013). ?A A space efficient streaming algorithm for estimating transitivity and triangle counts using the birthday paradoxA space efficient streaming algorithm for estimating transitivity and triangle counts using the birthday paradox ACM Transactions on Knowledge Discovery form Data https://www.osti.gov/search/identifier:1115171 Document ID: 5329417
Madhav Jha, Seshadhri Comandur, Ali Pinar, (2013). When a Graph is not so Simple: Counting Triangles in Multigraph Streams Siam Conference on Data Mining https://www.osti.gov/search/identifier:1114597 Document ID: 5329208
Seshadhri Comandur, Ali Pinar, Tamara G. Kolda, (2013). Wedge Sampling for Computing Clustering Coefficients and Triangle Counts on Large Graphs Statistical Analysis and Data Mining https://www.osti.gov/search/identifier:1110379 Document ID: 5327677
Janine Camille Bennett, Seshadhri Comandur, Ali Pinar, David thompson, (2013). A Simple and Efficient Sampling Method for Generating Colormaps of Large Data IEEE Symposium on Large Scale Data Analysis and Visualization https://www.osti.gov/search/identifier:1145407 Document ID: 5322768
Tamara G. Kolda, Ali Pinar, Seshadhri Comandur, (2013). Challenges of Modeling Directed Networks Structure, Statistical Inference, and Dynamics in NetworksFrom Graphs to Rich Data https://www.osti.gov/search/identifier:1079036 Document ID: 5322320
Janine Camille Bennett, Seshadhri Comandur, Ali Pinar, David Thompson, (2013). Sublinear Algorithms for In-situ and In-transit Data Analysis at the Extreme-Scale DOE Workshop on Applied Mathematics Research for Exascale Computing https://www.osti.gov/search/identifier:1078955 Document ID: 5322090
Nurcan Durak, Tamara G. Kolda, Seshadhri Comandur, Ali Pinar, (2013). A Scalable Null Model to Match All Degree Distributions: In, Out, and Reciprocal IEEE Workshop on Network Science https://www.osti.gov/search/identifier:1078949 Document ID: 5321978
Tamara G. Kolda, Ali Pinar, Seshadhri Comandur, Todd Plantenga, Christine Task, (2013). Counting Triangles in Massive Graphs with MapReduce arXiv https://www.osti.gov/search/identifier:1072548 Document ID: 5319957
Tamara G. Kolda, Ali Pinar, Todd Plantenga, Seshadhri Comandur, Christine Task, (2013). The Role of Theory and Data Analysis in Generating Massive Realistic Networks DARPA Big Data Colloquium https://www.osti.gov/search/identifier:1072629 Document ID: 5320637
Tamara G. Kolda, Ali Pinar, Karthik Subbian, Ayush Singhal, Jaideep Srivastava, (2013). On Reciprocity in Massively Multiplayer Online Game Networks arXiv https://www.osti.gov/search/identifier:1069044 Document ID: 5319938
Tamara G. Kolda, Seshadhri Comandur, Ali Pinar, Todd Plantenga, Nurcan Durak, Christine Task, (2013). Analyzing, Modeling, and Generating BIG Networks SIAM Conference on Computational Science & Engineering https://www.osti.gov/search/identifier:1064167 Document ID: 5319161
Tamara G. Kolda, Ali Pinar, Seshadhri Comandur, Todd Plantenga, (2013). DARPA Site Visit: Fast Algorithms for Evolving Graphs via Assays, Sampling & Theory (FEAST) DARPA Site Visit https://www.osti.gov/search/identifier:1649831 Document ID: 5317407
Seshadhri Comandur, Ali Pinar, Madhav Jha, (2012). From the Birthday Paradox to a Practical Sublinear Space Streaming Algorithm for Triangle Counting https://www.osti.gov/search/identifier:1649751 Document ID: 5316582
Tamara G. Kolda, Todd Plantenga, Ali Pinar, Seshadhri Comandur, Nurcan Durak, Christine Task, (2012). The Role of Theory and Data Analysis in Generating Massive Realistic Networks Big Data Colloquium https://www.osti.gov/search/identifier:1062368 Document ID: 5314980
Tamara G. Kolda, Ali Pinar, Seshadhri Comandur, Todd Plantenga, Christine Task, (2012). Capturing Community Behavior in Very Large Networks Univ of Strathclyde Seminar https://www.osti.gov/search/identifier:1686315 Document ID: 5312318
Tamara G. Kolda, Ali Pinar, (2012). Fast Triangle Counting through Wedge Sampling Current Challenges in Computing 2012Network Science https://www.osti.gov/search/identifier:1294073 Document ID: 5312129
Christine Task, Ali Pinar, Tamara G. Kolda, (2012). Parallel Triangle Sampling in Social Networks Sandia Summer Intern Symposium https://www.osti.gov/search/identifier:1649975 Document ID: 5310740
Christine Task, Tamara G. Kolda, Ali Pinar, (2012). Parallel Triangle Sampling in Social Networks (Presentation) Sandia Summer Intern Symposium https://www.osti.gov/search/identifier:1649977 Document ID: 5310742
Tamara G. Kolda, Ali Pinar, (2012). Community structure and scale free collections of Erdos-Renyi graphs Networks in Biology, Social Science and Engineering https://www.osti.gov/search/identifier:1116781 Document ID: 5309992
Richard Li-Yang Chen, Neng Fan, Ali Pinar, Amy Cohn, (2012). N-K-e Survivable Network Design The 12th International Conference on Probabilistic Methods applied to Power Systems https://www.osti.gov/search/identifier:1067764 Document ID: 5308958
Nurcan Durak, Ali Pinar, Seshadhri Comandur, (2012). The degree relations of triangles in real-world networks and graph modelsand graph models The 21st ACM international Conference on Information and Knowledge Management https://www.osti.gov/search/identifier:1117382 Document ID: 5308668
Gregory A. Rochau, Ali Pinar, Seshadhri Comandur, (2012). Estimating a thinning ratio for a Markov chain of graphs Conference on Data Analysis, https://www.osti.gov/search/identifier:1068331 Document ID: 5304948
Tamara G. Kolda, Seshadhri Comandur, Ali Pinar, (2012). The BTER Graph Generator: A Scalable Model with Measurable Community Structure Conference on Data and Analysis (CoDA) https://www.osti.gov/search/identifier:1068486 Document ID: 5305118
Gregory A. Rochau, Ali Pinar, Seshadhri Comandur, (2012). Generating independent graphs with prescribed joint degree distribution using a Markov chain sampler WAW 2012 9th Workshop on Algorithms and Models for the Web Graph https://www.osti.gov/search/identifier:1069055 Document ID: 5304321
Neng Fan, Ali Pinar, Amy Cohn, (2011). N-k-epsilon Survivable Power Grid Design 12th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) https://www.osti.gov/search/identifier:1113320 Document ID: 5302902
Tamara G. Kolda, Seshadhri Comandur, Ali Pinar, (2011). The Block Two-Level Erdös-Rényi (BTER) Graph Model IMA Workshop on Large Graphs https://www.osti.gov/search/identifier:1111697 Document ID: 5301565
Tamara G. Kolda, Ali Pinar, Seshadhri Comandur, (2011). The BTER Graph Model: Blocked Two-Level Erdos-Renyi Graph Exploitation Symposium https://www.osti.gov/search/identifier:1106357 Document ID: 5297770
Richard Li-Yang Chen, Patricia D. Hough, Ali Pinar, John Daniel Siirola, Jean-Paul Watson, (2011). Computational Challenges in Optimization for Electrical Grid Operations and Planning SIAM Workshop on Combinatorial Scientific Computing https://www.osti.gov/search/identifier:1143908 Document ID: 5294828
Helgi Adalsteinsson, Scott Cranford, Damian Dechev, David A. Evensky, Joseph P. Kenny, Nicole Slattengren, Ali Pinar, (2011). SST/macro: The Structural Simulation Toolkit macroscale components for coarse-grained architecture simulation Siam Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1289945 Document ID: 5292142
Seshadhri Comandur, Ali Pinar, Tamara G. Kolda, (2011). A Hitchhikers Guide to Choosing Parameters of Stochastic Kronecker Graphs Kdd-2011 https://www.osti.gov/search/identifier:1109205 Document ID: 5292003
Isabelle Stanton, Ali Pinar, (2010). Constructing and Sampling Graphs with a Given Joint Degree Distribution WorkshopWorkshop on Information and Networks, New York, NY, www. winworkshop.net https://www.osti.gov/search/identifier:1030342 Document ID: 5286527
John Daniel Siirola, Brian M. Adams, Samuel Scott Collis, Richard O. Griffith, Kyran D. Mish, Ali Pinar, (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 https://www.osti.gov/search/identifier:1677578 Document ID: 5284449
John Daniel Siirola, Brian M. Adams, Samuel Scott Collis, Richard O. Griffith, Kyran D. Mish, Ali Pinar, (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 https://www.osti.gov/search/identifier:1677579 Document ID: 5284450
Helgi Adalsteinsson, Curtis L. Janssen, Scott Cranford, Damian Dechev, David A. Evensky, Joseph P. Kenny, Jackson Mayo, Ali Pinar, (2010). SST/macroscale. The other simulator. JOWOG meeting at LLNL https://www.osti.gov/search/identifier:1678907 Document ID: 5282965
Brian Barrett, Bruce A. Hendrickson, Randall A. Laviolette, Vitus J. Leung, Greg Edward Mackey, Richard C. Murphy, Cynthia Ann Phillips, Ali Pinar, Brad Mancke, Kyle Wheeler, (2009). LDRD Final Report: Massive Multithreading Applied to National Infrastrucure and Informatics https://www.osti.gov/search/identifier:993883 Document ID: 5276101
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