UCLA Engineering Team Receives IARPA Funding to Improve Information Utility
By Matthew Chin
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.