Giving_to

What Does Big Data Look Like?

By Prof Huamin Qu

Department of Computer Science and Engineering

Date:	02 Dec 2016

Time:	12:30 pm - 2 pm (Lunch included)

Venue:	HKUST Business School Central 15/F, Hong Kong Club Building 3A Chater Road, Central, Hong Kong

Remarks:	Registration starts one month before the talk.

Enquires:	Miss Fanny Yue 2358 5019 / science.for.lunch@ust.hk

Big data is large and complex. Researchers have developed advanced data mining and machine learning techniques to reveal patterns. However, people without a mathematics or computer science background may find these methods and findings difficult to understand. Data visualization, which turns data into intuitive visual forms, is widely considered a key to big data analytics and has become a hot topic, with relevant stories appearing in the New York Times, Washington Post, Wall Street Journal, Harvard Business Review and Wired, among others.

As well as introducing the history of data visualization, its main research problems and major approaches, the talk covers opportunities and challenges. Hear about ongoing visualization research projects at HKUST and how data visualization helps reveal rumor propagation on social media such as Twitter and WeChat, learning behaviors of students on MOOCs platforms, and human mobility patterns based on mobile phone and transportation data.

Prof Huamin Qu
Department of Computer Science and Engineering

Huamin Qu is a professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology. He serves as the Postgraduate Programs Coordinator and is also coordinator of the newly founded Human-Computer Interaction (HCI) group at the CSE department. His main research interests are in visualization and human-computer interaction, with focuses on urban informatics, social network analysis, e-learning, and text visualization. He has co-authored about 100 refereed papers including 38 papers in the IEEE Transactions on Visualization and Computer Graphics (TVCG), making him one of the most productive researchers in the data visualization field. His research has been recognized by many awards including six best paper/honorable mention awards, 2009 IBM Faculty Award, 2014 Higher Education Scientific and Technological Progress Award (Second Class) from the Ministry of Education of China, 2015 HKICT Best Innovation (Innovative Technology) Silver Award from the Hong Kong Institution of Engineers, and 2015 APICTA Merit Award in E-Learning from the Asia Pacific ICT Alliance.