Overview

Rapid industrialization, greater affordability of devices, the explosion of mobile networks, cloud based infrastructure and advanced technologies have given rise to incomprehensibly large worlds of information, described as Big Data. One important property of Big Data is its greater variety of sources, i.e., data about the same object can be obtained from various sources. For example, customer information can be found from multiple databases in a company; a patient's medical records may be scattered at different hospitals; a news event can be characterized by text, images, and video; and an activity can be captured by multiple surveillance cameras and live video feeds. Many interesting patterns reside across all heterogeneous data sources available. One solution to the problem of learning from multiple sources is to extract trustworthy information from different sources and integrate their complimentary perspectives to reach a more accurate and robust decision.

His research topics related to Truth discovery includes:

• Truth discovery approaches with theoretical guarantees
• Privacy-preserving truth discovery
• Crowd Sensings

Representative work