David J. Haglin |
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![[Photo]](images/haglin.jpg)
- Citation Record: google™ scholar citations, ResearchGate.
- My Publications: DBLP, CSBIB, google™ scholar.
- I am a Senior Member of the ACM and a Senior Member of the IEEE.
- A description of my Erdös Number can be viewed here.
Current Projects:
- I am the principle investigator for a large project focussing large, irregular (sparse graph) computing. This project is funded by a DoD sponsor.
- I am working on a task to explore processing BigData on large, irregular (sparse graph) datasets using a Semantic Graph/Database approach.
- I am working on a project to explore Cyber Security using BigData.
Some Recent Papers:
2016
- Daniel Chavarria-Miranda, Vito Giovanni Castellana, Alessandro Morari, David Haglin and John Feo, “GraQL: A Query Language for High-Performance Attributed Graph Databases,” in Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning'2016), May 27, 2016.
- Arun V. Sathanur and David J. Haglin, “A Novel Centrality Measure for Network-wide Cyber Vulnerability Assessment,” Proceedings IEEE International Symposium on Technologies for Homeland Security, May 10--12, 2016.
- Qingpeng Zhang and David J. Haglin, “Semantic Similarity between Ontologies at Different Scales,” IEEE/CAA Journal of Automatica Sinica. 3(2):132--140, April, 2016.
2015
- Pak Chung Wong, David Haglin, David Gillen, Daniel Chavarria, Vito Castellana, Cliff Joslyn, Alan Chappell, and Song Zhang, “A Visual Analytics Paradigm Enabling Web-Scale Graph Exploration,” Proceedings IEEE Symposium on Large Data Analysis and Visualization (LDAV) 2015, October 25--26, 2015.
- Alessandro Morari, Jesse Weaver, Oreste Villa, David Haglin, Antonino Tumeo, Vito Giovanni Castellana, and John Feo, “High-performance, distributed dictionary encoding of RDF datasets,” In Cluster Computing (CLUSTER), 2015 IEEE International Conference on, pages 250--253, September 8--11, 2015.
- Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Jesse Weaver, Greg Williams, David Haglin, Antonino Tumeo, and John Feo, “GEMS: Graph database engine for multithreaded systems,” Big Data: Algorithms, Analytics, and Applications, pp. 139--156, 2015.
- Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Tumeo, David Haglin, Oreste Villa, and John Feo, “In-Memory Graph Databases for Web-Scale Data,” IEEE Computer, 48(3):24-35, March, 2015.
2014
- Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, and John Feo, “ Toward a data scalable solution for facilitating discovery of science resources,” Parallel Computing, 40(10):682-696, December, 2014.
- Alessandro Morari, Vito Giovanni Castellana, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo, and Oreste Villa, “Scaling Semantic Graph Databases in Size and Performance” IEEE Micro, 34(4):16-26, July 2014.
2013
- Alan Chappell, Sutanay Choudhury, John Feo, David Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, and Oreste Villa, “Toward a Data Scalable Solution for Facilitating Discovery of Scientific Data Resources” in 2013 Workshop on Data-Intensive Scalable Computing Systems (DISCS-2013), November 18, 2013.
- Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, David Haglin, John Feo, Jesse Weaver, and Antonino Tumeo, “Accelerating semantic graph databases on commodity clusters” in 2013 IEEE International Conference on Big Data (IEEE BigData 2013), October 6-9, 2013.
- Vito Giovanni Castellana, Antonino Tumeo, Oreste Villa, David Haglin, and John Feo, “Composing Data Parallel Code for a SPARQL Graph Engine” in 2013 ASE/IEEE International Conference on Big Data, September 8-14, 2013.
- Cliff Joslyn, Sutanay Choudhury, David Haglin, Bill Howe, Bill Nickless, and Bryan Olsen, “Massive Scale Cyber Traffic Analysis: A Driver for Graph Database Research” in GRADES: Graph Data-management Experiences & Systems (GRADES 2013), June 23, 2013.
- David J. Haglin, Robert D. Adolf, and Greg E. Mackey, “Scalable, Multithreaded, Partially-in-place Sorting,” in Workshop on Multithreaded Architectures and Applications (MTAAP 2013), pp. 1656-1664, May 24, 2013.
- David J. Haglin and Lawrence B. Holder, “Combining Structure and Property Values is Essential for Graph-based Learning,” in Workshop on Parallel and Distributed Computing for Machine Learning and Inference Problems (ParLearning'2013), pp. 1899-1904, May 24, 2013.
2012
- Chad Scherrer, Ambun Tewari, Mahantesh Halappanavar, and David Haglin, “Feature Clustering for Accelerating Parallel Coordinate Descent,” in Neural information Processing Systems Foundation (NIPS), pp. 28-36, December 3-6, 2012.
- Mahantesh Halappanavar, Yousu Chen, Robert Adolf, David Haglin and Mark Rice, “Towards Efficient N - x Contingency Selection Using Group Betweenness Centrality,” in Supercomputing 2012, workshop: High Performance Computing, Networking and Analytics for the Power Grid (HiPCNA-PG), November 11, 2012.
- Tom Ferryman, David Haglin, Maria Vlachopoulou, Jian Yin, Chao Shen, Frank Tuffner, Guang Lin, Ning Zhou, and Jianzhong Tong, “Net Interchange Schedule Forecasting of Electric Power Exchange for RTO/ISOs,” in IEEE-PES General Meeting, July 22-26, 2012.
- Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, and David Haglin, “Scaling Up Coordinate Descent Algorithms for Large l1 Regularization Problems,” in International Conference on Machine Learning (ICML), June 27-July 1, 2012.
- Nurul F. Zulkarnain, David J. Haglin, and John A. Keane, “DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree,” in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), workshop DSDM'12, pp. 141-156, 29 May - 1 June, 2012.
2011
- Robert Adolf, David Haglin, Mahantesh Halappanavar, Yousu Chen, and Zhenyu Huang, “Techniques for Improving Filters in Power Grid Contingency Analysis ,” in International Conference on machine Learning and Data Mining in Pattern Recognition (MLDM 2011), Volume 6871 of Lecture Notes in Computer Science, pages 599--611. Springer, 2011.
- Cliff Joslyn, Sinan al-Saffar, David Haglin, and Lawrence Holder “Combinatorial Information Theoretical Measurement of the Semantic Significance of Semantic Graph Motifs,” in Mining Data Semantics Workshop (MDS'2011) (in conjunction with SIGKDD2011), August 21, 2011.
- Cliff Joslyn, Bob Adolf, Sinan al-Saffar, John Feo, and David Haglin, “Report on April, 2011, Workshop on Semantic Graph Database Search Patterns,” In High-Performance Computing for the Semantic Web (HPCSW), May 29-June 2, 2011.
- Cliff Joslyn, Bob Adolf, Sinan Al-Saffar, John Feo, Eric Goodman, David Haglin, Greg Mackey and David Mizell, “High Performance Descriptive Semantic Analysis of Semantic Graph Databases,” In High-Performance Computing for the Semantic Web (HPCSW), May 29-June 2, 2011.
- Eric L. Goodman, Edward Jimenez, David Mizell, Sinan al-Saffar, Bob Adolf, and David Haglin, “High-performance Computing Applied to Semantic Databases,” In Extended Semantic Web Conference (ESWC), volume 2, pages 31--45, 2011.
- Jace A. Mogill and David J. Haglin, “Toward Parallel Document Clustering,” in Workshop on Multithreaded Architectures and Applications (MTAAP 2011), pp. 1700-1709, May 20, 2011.
2010
- Jace A. Mogill and David J. Haglin, “A comparison Of Shared Memory Parallel Programming Models,” in Cray Users Group conference (CUG2010), May 24-27, 2010.
- Eric L. Goodman, David J. Haglin, Chad Scherrer, Daniel Chavarria-Miranda, Jace Mogill and John Feo, “Hashing Strategies for the Cray XMT,” in Workshop on Multithreaded Architectures and Applications (MTAAP2010), April 23, 2010.
You can see a complete list of my journal papers, book chapters, and conference papers.
