时 间：2019年4月19日（星期五）上午10:30-12:00

地 点：图书馆906会议室

报告人：庞韶宁（Paul S. Pang）教授，新西兰国立理工学院交叉科学应用技术研究院常务副院长、计算机系终身教授

题 目：The Role of Big Data in Data Science Education and Research（大数据在数据科学教育研究中的作用）

参加人：智能学院教师，在读研究生，本科生代表

欢迎学校广大师生参加。

澳门新葡萄新京8883

2019年4月15日

报告摘要：

Data science deals with the processes and systems that are used to extract values from data and serve the society. Today, it has far reaching implications in many fields including both academic and industry research domains. This talk shares professional understanding of data and world digitalization, discusses the scope of data science (DS), and interpolates Big Data with reference to Artificial Intelligence (AI), through which we identify a range of critical issues that educators need to consider applying Big Data to data science education, and researchers need to attend on the Big Data integration.

报告人简历：

Dr Paul Pang is a Professor of Data Analytics, the Director of Center for Computational Intelligence for Cybersecurity, and Center for Computational Intelligence for Environmental Engineering at the Unitec Institute of Technology, New Zealand. His main research areas are applied data analytics, AI for Cybersecurity and smart environment.He has unique hands-on experience of data/business analytics for telecommunication, health, Cybersecurity, environment, milk, winery, and finance industries. His expertise covers the complete lifecycle of data, which consists of data integration, governance, analytics and visualization/interpolation.Professor Pang isa Global Judge for the 2018 AI Summit London,a Lead Guest Editor of Computational Intelligence journalWiley-Blackwell and the Sensors journal MDPI, the Event Editor of Neural Networks journal Elsevier, and a Senior Member of IEEE. He has served Chair, Co-chair and Committee Member/Track Chair of numerous international conferences, including as the founding Chair of International Cybersecurity Data Mining Competition (www.csmining.org), andrecently as the General Chair for the 11th International Conference on Mobile Computing and Ubiquitous Networking (IMU2018).