应计算机科学与工程学院邀请，澳大利亚悉尼科技大学操龙兵教授将来我校做学术报告，欢迎广大师生光临！现将具体事宜公告如下：

报告题目：数据科学：创新与实践

Abstract:

Data analysis has been explored from different disciplinary perspectives for decades; however, most of existing analytical and learning systems have been built on assuming that data is independent and identically distributed (IID). In the era of data science and analytics when non-IID data complexities cannot be simplified, little attention has been paid to the potential issues in the results generated by applying existing IID learning theories and tools, which may be incomplete, misleading or incorrect. A foundational issue in data science and analytics is to understand the non-IIDness of data, business and behavior, while limited knowledge is available in the literature. This talk briefly reviews the issues of existing IID learning systems, followed by the concepts, fundamentals and examples of non-IID learning. The second part of the talk presents a summary of enterprise analytics practices of the speaker’s team, involving diversified domains. Lastly, several global data science initiatives are introduced to conclude the talk.

报告人简介：

Longbing Cao holds a PhD in Computing Science and another PhD in Pattern Recognition and Intelligent Systems. He is a professor at the University of Technology Sydney, Australia. Hehas been promoting Data Science and Advanced Analytics research, education, development and engagement since he was a Chief Technology Officer and after he joined academia in 2005. He initiates and focuses on new research directions inspired by significant real-life big data challenges, such as non-IID data learning, behaviour informatics, and actionable knowledge discovery.

He established the world first research degrees: Master of Analytics (Research) and PhD: Analytics, IEEE Task Force on Data Science and Advanced Analytics (DSAA), IEEE Task Force on Behavioral, Economic and Socio-cultural Computing, IEEE Conference on Data Science and Advanced Analytics (IEEE DSAA), International Journal of Data Science and Analytics with Springer (JDSA), and the Big Data Summit in Sydney, and organized several data mining events including KDD2015 in Sydney.

 He is the founding director of UTS’s research institute: Advanced Analytics Institute, which demonstrates a model of bridging the gaps between research, education and real problem solving of big data analytics. His team has successfully delivered many large analytical projects for federal and state government units and large business organizations in Australia and overseas, which have resulted in significant dollar savings and strong social impact, as mentioned in government, industry, media and OECD reports.