Big Data + Science = Data Science
By Prof Qiang Yang
New Bright Professor of Engineering, Chair Professor and Head of Department of Computer Science and Engineering

Date: 09 Sep 2015
Time: 12:30 pm - 2 pm (Lunch included)
Venue: HKUST Business School Central
15/F, Hong Kong Club Building
3A Charter Road, Central, Hong Kong.
Remarks: Registration starts one month before the talk.
Enquires: 2358 5019 / science.for.lunch@ust.hk


Details
Do you know that the data collected by humans over the past two years is so ‘big’ that it dwarfs all the books ever written? This ‘big data’ phenomenon revolutionizes our thinking not because of its immense volume, but rather by what we can learn from it through the use of increasingly powerful analytic tools. What does big data mean for future scientific discoveries? How will business, educational institutions, governments and society evolve in this new era? The speaker explains the nature of big data and the resulting data science, and highlights key concepts based on the achievements of HKUST’s Data Science projects. Big data applications in online shopping, charity, health analysis and risk management will be shared with the audience.

Speaker Profile
Prof Qiang Yang
New Bright Professor of Engineering, Chair Professor and Head of Department of Computer Science and Engineering

Professor Qiang Yang is an expert in big data and data science, and is head of Computer Science and Engineering Department at HKUST, where he holds the New Bright Chair Professorship. He writes a column for Forbes magazine (China) on big data and artificial intelligence, and is the Editor-in-Chief of IEEE Transactions on Big Data, and was founding director of Huawei’s Noah’s Ark Research Lab, leading Huawei’s effort in big data and artificial intelligence appellations. At HKUST, Prof Yang has led projects using big data to link paintings to poetry, understanding crops’ genetic traits and growth patterns, and discover bird-flu migration patterns based on GPS data. He has also developed several successful big-data applications in finance, E-commerce and telecommunications applications.
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