Prof. Xiaoming Fu
Title: Estimating Socioeconomic Status with Big Data
Abstract:
Socioeconomic status (SES) represents a person’s social and economic rank in a society, especially education, occupation and income. Traditionally, estimating SES for a large population is performed by national statistical institutes through a large number of household interviews, which is highly expensive and time-consuming. In this talk I will describe our recent efforts on estimating a person’s socioeconomic status with multiple sources of data.
Bio:
Xiaoming Fu received the Ph.D. degree in computer science from Tsinghua University, China, in 2000. Since 2007 he is a full professor and the Head of the Computer Networks Group, University of Göttingen. He has also held visiting positions at ETSI, University of Cambridge, Columbia University, UCLA, Sorbonne University, Tsinghua University, Nanjing University and Polytechnic University of Hong Kong. He is a Distinguished Lecturer of IEEE, a member of ACM, a fellow of IET, and a member of Academia Europaea.