Title: Data Science and Advanced Analytics: Innovation and Practices
Speaker: Longbing Cao, University of Technology Sydney (UTS)
Abstract:
In 2005, when I started to talk about data science, someone asked me
what is data science and why we need it since we have had information
science. As we know, classic analytical and learning systems have been
built on the assumption that data is independent and identically
distributed (IID). In this talk, a brief review is given about the
challenges triggered by such an IID assumption on tackling complex data
and applications, in particular, discussions are about non-IIDness
learning which caters for the coupling relationships and heterogeneity
in the real world. Several showcases will introduce my advanced
analytics practices in Australia in different domains, including public
sector, banking, education, capital market, and transport.
Bio:
Longbing Cao was awarded one PhD in Pattern Recognition and Intelligent
Systems in Chinese Academy of Sciences and another in Computing Science
from the University of Technology Sydney (UTS). He has been a full
professor in information technology at UTS since 2009, and the Founding
Director of the university’s research institute Advanced Analytics
Institute since 2011.
He is also the Research Leader of the Data Mining Program at the
Australian Capital Markets Cooperative Research Centre, the Chair of ACM
SIGKDD Australia and New Zealand Chapter, IEEE Task Force on Data
Science and Advanced Analytics, and IEEE Task Force on Behavioral,
Economic and Socio-cultural Computing, to promote the relevant research
and community building. He is a Senior Member of IEEE, SMC Society and
Computer Society.
Longbing initiated and leads research on non-iidness learning in big
data, behavior informatics, agent mining, and domain driven data mining,
in addition to general efforts on data mining, machine learning, applied
analytics, and complex intelligent systems. He is now working with
around a large team consisting of PhD students, research masters and
fellows, and visiting scholars on the following primary research
interests, which led to 3 monographs, 4 edited books and 15 proceedings,
11 book chapters, and around 200 referred journal/conference
publications.
Longbing’s leadership has spread from manager and Chief Technology
Officer in business to director of research institution. In business, he
managed hundreds of millions of fund involving managing multi-million
large projects. Since he joined UTS in 2005, under his leadership, the
UTS Advanced Analytics Institute, a cross-faculty university research
institute, is effectively implementing a mixture business model by
integrating high-quality Research, high-calibre Education with
high-impact Development (RED) in data science and broad-based big data
analytics, to best advance theoretical innovation, education and
training, and hands-on practices in the real-world big data analytics
through a highly interdisciplinary and cross-domain engaging approach.
Longbing created the first globally available research degrees in
analytics: Master of Analytics (Research) and PhD Thesis: Analytics.
Under his leadership, within three years since its establishment,
UTS:AAI was recognized as the first research group in analytics in
Australia with demonstrated wide engagements and high business impact
recognized by the community such as in the first whitepaper on big data
issued by the Australian federal government, two of three commonwealth
papers on big data, and several other special mentions such as in ABC,
ATO, OECD and InnovationAus.
Longbing has wide connections with world industry and academic leaders
in the area of big data, data science and analytics, as evidenced by the
prestigious events he chairs and founded, including the most influential
and largest big data conference KDD2015 in Sydney as the lead general
chair, and the annual Big Data Summit and the IEEE International
Conference on Data Science and Advanced Analytics he founded.