Towards Scalable Information Sensemaking


The first contributed talk for this semester is by Prof. Vladimir Zadorozhny , visiting professor from the University of Pittsburgh.

Title: Towards Scalable Information Sensemaking

Abstract: I will consider how concepts of data fusion and crowdsourcing complement each other and accelerate novel advanced research directions in scalable information sensemaking.  I will elaborate on each of those concepts and explore their synergy under prominent scenarios of large-scale historical data integration and situation assessment in multi-robot search and rescue missions.