Under this contract, the team will study novel computational methodologies to dramatically improve the value of information and resiliency to intruder attack in large-scale information systems.
The project titled “Reliable Inference with Missing, Masked, Malfunctioning or Masked Sensors (RIM4S),” aims to develop a fundamentally new theoretical framework of reliable inference in systems where the data is collected from disparate sensing devices and to demonstrate practical feasibility of the proposed unifying framework on a comprehensive and diverse set of applications.
“We are particularly excited to be supported by IARPA in our quest for building mathematically rigorous models and algorithms for the next-generation information systems,” said the project’s principal investigator, Lara Dolecek, an assistant professor in electrical engineering and the director of the Laboratory for Robust Information Systems.