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Ryan Mullins

Ryan Mullins

Intelligent Analytic Technologies

Deputy Director
Intelligent Analytic Technologies LinkedIn

Ryan researches and develops human-AI teams, with an interest in the experiences enabling human-AI collaboration. His research combines methods and concepts from the visual analytics, computer science, and cognitive systems engineering domains to create novel ways for human and AI actors to collaborate and solve complex problems. Ryan has applied his skills in the command and control, information analysis, and cybersecurity domains, among others. Additionally, Ryan manages the Division’s portfolio of data science platforms, shaping their capability roadmaps and evangelizing their use across the company.

Ryan holds an M.S. in Geography and a B.S. in Computer Science from the Pennsylvania State University. He is a member of the North American Cartographic Information Society, the Association for Computing Machinery, and the United States Geospatial Intelligence Foundation.

Select Publications

Mullins, R.S., Ford, B., Kemmet, L., & Weissman, S. (2019, February). The Civil Affairs Information Matrix: Designing Context-Aware Visual Analytics Enabling Mission Planning with Ensemble Learning. In International Conference on Intelligent Human Systems Integration (pp. 491-496). Springer, Cham.

Mullins, R.S., Nargi, B., Cummings, P. (2018). Designing a Map-Centric Interface to Solicit Feedback that Improves Geospatial Analytics. In Proceedings of the 2018 Annual Meeting of the North American Cartographic Information Society. Norfolk, VA, USA.

Fegley, B. D., Mullins, R.S., Ford, B., & Weiss, C. (2018). LineChange: An Analytic Framework for Automated Moderation of Crowdsourcing Systems. In International Conference on Human-Computer Interaction (pp. 401-408). Springer, Cham.

Mullins, R.S., Weiss, C., Fegley, B. D., & Ford, B. (2018). A Generalizable Method for Validating the Utility of Process Analytics with Usability Assessments. In International Conference on Human-Computer Interaction (pp. 263-267). Springer, Cham.

Fouse, A., Mullins, R.S., Ganberg, G., & Weiss, C. (2017). The Evolution of User Experiences
and Interfaces for Delivering Context-Aware Recommendations to Information Analysts. In Ahram T., Falcão C. (eds.), Advances in Usability and User Experience, Advances in Intelligent Systems and Computing 607. https://link.springer.com/chapter/10.1007/978-3-319-60492-3_2

Mullins, R.S. & Cassani, L. (2017). A Review of Map Interactions and Needs in the Civil Affairs Operations Planning Process. In Proceedings of the 2017 International Cartographic Conference. Washington, DC, USA.

Fouse, A., Mullins, R.S., & Ziemkiewicz, C. (2016). A Framework for Context-Aware Visualization in Cyber Defense. In Proceedings of the 2016 IEEE Symposium on Visualization for Cyber Security. Baltimore, MD, USA.

Mullins, R.S., Ziemkiewicz, C., & Fouse, A., (2016). Mapping Virtual Traffic in Real Space and Time. In Proceedings of the 2016 Annual Meeting of the North American Cartographic Information Society. Colorado Springs, CO, USA.

Mullins, R.S., Ehinger, K., Aizenman, A.M., Weiss, C., Wolfe, J., & Fouse, A., (2015). Geographic Analysis in Context: A Visual Search Task Comparing Zooming Metaphors. In Proceedings of the 2015 Annual Meeting of the North American Cartographic Information Society. Minneapolis, MN, USA.

Mullins, R. S., Fouse, A., McCormack, R., & Pfautz, S. L. (2015). A context-aware decision support tool for assessing and mitigating drivers of civil instability. Procedia Manufacturing, 3, 4115-4120.

Mullins, R.S. (2013). Questions Facing Map Design in the Age of Mobility and Siri. In Proceedings of the 2013 Annual Meeting of the North American Cartographic Information Society. Greenville, SC, USA.

Abiero, B., Mullins, R.S., Na, K., Gladfelter, A., Stehle, S. (2013). HR viewer: A tool for visualizing sentiment of u.s. health care reform. In Proceedings of the 141st APHA Annual Meeting and Exposition. Boston, MA, USA.

Mullins, R.S., Hardisty, F., Pezanowski, S., Das, S., Savelyev, A., , A.M., Mitra, P., Jaiswal, A.J. (2013). Designing a Web Service to Geo-Locate Subjects of Volunteered, Textual Geographic Information. In Proceedings of 26th International Cartographic Conference. Dresden, Germany.

For more information about Ryan’s publications, please contact aptima_info@aptima.com.