| 2016 | CCS | Formal Approach for Resilient Reachability based on End-System Route Agility. | Usman Rauf, Fida Gillani, Ehab Al-Shaer, Mahantesh Halappanavar, Samrat Chatterjee, Christopher S. Oehmen |
| 2016 | SP | LINEBACKER: LINE-Speed Bio-Inspired Analysis and Characterization for Event Recognition. | Christopher S. Oehmen, Paul J. Bruillard, Brett D. Matzke, Aaron R. Phillips, Keith T. Star, Jeffrey L. Jensen, Doug Nordwall, Seth R. Thompson, Elena S. Peterson |
| 2016 | SP | A Biosequence-Based Approach to Software Characterization. | Christopher S. Oehmen, Elena S. Peterson, Aaron R. Phillips, Darren S. Curtis |
| 2015 | CCS | SafeConfig 2015: Workshop on Automated Decision Making for Active Cyber Defense. | Ehab Al-Shaer, Christopher S. Oehmen, Mohammad Ashiqur Rahman |
| 2013 | ISI | A generalized bio-inspired method for discovering sequence-based signatures. | Elena S. Peterson, Darren S. Curtis, Aaron R. Phillips, Jeremy Teuton, Christopher S. Oehmen |
| 2012 | CIBCB | An efficient machine learning approach to low-complexity filtering in biological sequences. | Christopher A. Barber, Christopher S. Oehmen |
| 2010 | IRI | An adaptive middleware framework for Scientific Computing at extreme scales. | Arzu Gosney, Christopher S. Oehmen, Adam Wynne, Justin Almquist |
| 2008 | ICMLA | Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification. | Bobbie-Jo M. Webb-Robertson, Melissa M. Matzke, Christopher S. Oehmen |
| 2008 | WEBIST | A Secure Web Application Providing Public Access to High-Performance Data Intensive Scientific Resources - ScalaBLAST Web Application. | Darren S. Curtis, Elena S. Peterson, Christopher S. Oehmen |
| 2007 | ICMLA | Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics. | Bobbie-Jo M. Webb-Robertson, Christopher S. Oehmen, William R. Cannon |
| 2006 | SC | Bandwidth challenge - High throughput feature-matching analysis of biological spectral data. | Christopher S. Oehmen, Douglas J. Baxter, Ryan W. Mooney, Shaun O'Leary, Tim Carlson |
| 2006 | SC | Analytics challenge - High-throughput visual analytics biological sciences: turning data into knowledge. | Christopher S. Oehmen, Lee Ann McCue, Joshua N. Adkins, Katrina M. Waters, Tim Carlson, William R. Cannon, Bobbie-Jo M. Webb-Robertson, Douglas J. Baxter, Elena S. Peterson, Mudita Singhal, Anuj R. Shah, Kyle R. Klicker |