報(bào)告題目：How to make data usable?

報(bào)告人：Zhifeng Bao (鮑芝峰)

時(shí)間：2014年4月17日上午10：00

地點(diǎn)：三牌樓校區(qū) 科學(xué)會(huì)堂 第三會(huì)議室

主辦單位：計(jì)算機(jī)學(xué)院、軟件學(xué)院、科技處

報(bào)告人簡(jiǎn)介：

　　Zhifeng Bao is a tenure track Assistant Professor in School of Engineering & ICT, Faculty of Science, Engineering and Technology, University of Tasmania, Australia. He is also affiliated with the Human Interaction Technology Lab of Australia. Before that, he was a research scientist in the Sensor-enhanced social media research center of Singapore. He received both his PhD from the CS Dept at NUS. Zhifeng was the only recipient of the Best PhD Thesis Award in School of Computing and was the winner of the Singapore IDA (Infocomm Development Authority) gold medal. His works got the best paper nomination in ICDE 2009, DASFAA 2012 and ASONAM 2013. His ICDE 2009 paper has been cited over 150 times in four years.In the last seven years, he has been committing himself to the task of "how to make data usable", and enhance data & knowledge sharing over the social network. His "data usability" works span across heterogeneous data, including structured data (e.g. relational data), semi-structured data (e.g. XML), unstructured data (e.g. text), spatial data， multimedia data (e.g. images and videos), and graph data (e.g. social network). He focused on building general yet efficient frameworks to support these usability modules, without breaking the traditional storage and indexing scheme for the underlying data. His expertise include data management, data mining, information retrieval and distributed and parallel programming (Hadoop, GPU).