Speaker: Juliana Freire
Professor, Computer Science & Engineering
Polytechnic Institute of New York University
Title: Exploring Big and Not So Big Data
The explosion in the volume of digital data currently available has created new opportunities in many different domains, from spurring scientific discoveries to enabling smarter cities that provide a better quality of life for its citizens. Unfortunately, the infrastructure to analyze, visualize, and integrate information has not kept pace with our collective ability to gather data, leading to an unprecedented situation: data exploration is now the bottleneck to discovery. In this talk, I will describe some of the efforts we are conducting at the Visualization and Data Analysis Center at NYU Poly that aim to address this challenge.
Prof. Freire’s recent research focuses on Web-scale data integration, big-data analysis and visualization, and provenance management. Prof. Freire is an active member of the database and Web research communities. She has co-authored over 120 technical papers, and holds 8 U.S. patents. She is a recipient of an NSF CAREER Award and an IBM Faculty Award. Prof. Freire also holds an appointment in the Courant Institute for Mathematical Sciences. Prior to joining NYU, Prof. Freire was on faculty at the University of Utah, and before this, a member of technical staff at Bell Laboratories (Lucent Technologies).This lecture is open to the public. Space is limited and there is no registration; coming early is strongly recommended.
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