Laura Cassani leads Aptima’s System Optimization Analytics capability, a portfolio of projects focused on operationalizing Artificial Intelligence (AI) approaches to dynamic human-machine systems. She specializes in bridging technical and operational requirements across a variety of domains to achieve results that quickly and succinctly synthesize data in support of informed decision making. Laura has led several successful research and development efforts for the DoD, including serving as Principal Investigator on multiple projects for ONR, DARPA, AFRL, and MCSC. For the past ten years, she has also led technology development for the Marine Civil Information Management System (MARCIMS), a deployed Program of Record supporting Marine Corps Civil Affairs operators. This work has included leveraging next-generation technology insertion focused on innovative applications of machine learning and AI technologies in this domain. Laura’s most recent research interests involve developing models and approaches for characterizing the information environment in support of operations, including an effort examining digital phenotyping to support Pattern of Life (PoL) characterizations, as well as applications of advanced algorithms for detecting outliers in dark PoL for threat detection.
Laura holds a MA in Security Studies from Georgetown University focusing on counterterrorism and counterinsurgency operations, and a BA in International Relations from Boston University.
Cassani, L., and Caglayan, A. (2016). Collecting Data and Semantic Content via Mobile Devices. In Sae Schatz, Joseph Cohn, Denise Nicholson, David Combs (Eds.), Modeling Sociocultural Influences on Decision Making: Understanding Conflict, Enabling Stability. Boca Raton, FL: CRC Press, Taylor and Francis.
Cassani, L. (2016). Automating Canonical Subjects and Place Names in Semantic MediaWiki for Humanitarian Assistance. Presentation at the Humanitarian Technology 2016: Science, Systems, and Global Impact, Boston, MA.
Cassani, L., Caglayan, A, Alavedra, J., Bharadwaj, V., Lee, N., and Parkes, J. (2014). Semantic enrichment and reasoning for mobile data collection of socio-cultural data. In Sae Schatz, Joseph Cohn, Denise Nicholson (Eds.), Advances in Cross-Cultural Decision Making. Boca Raton, FL: CRC Press, Taylor and Francis.
Clark, T., and Cassani, L. (2014). Semantic knowledge management and Linked Data for humanitarian assistance. Procedia Engineering, 78, 134–142. doi:10.1016/j.proeng.2014.07.049.
Caglayan, A., Cassani, L., Mooney, L., Morgan, W., Boyles, A. (2012). Semantic Technologies for Civil Information Management during Complex Emergencies. Poster presentation at IEEE Technologies for Homeland Defense, Boston, MA.
For more information about Laura’s publications, please contact email@example.com.