Fiscal Year	2019
Division	Graduate School of Operational & Information Sciences
Department	Operations Research
Investigator(s)	Szechtman, Roberto
Sponsor	Department of Defense Space (DoD)
Summary	We will develop methods to efficiently collect intelligence from strategic targets in the absence of prior information. The resulting algorithms can be employed to geo-locate and characterize targets who attempt to avoid detection, and lies at the intersection of current machine learning and game theory research lines. Ultimately, this research will optimize the employment of intelligence collection assets in a budget constrained environment.
Keywords	adversarial bandit perimeter surveillance
Publications	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal