2015年12月23日上午10点，爱游戏特邀美国圣母大学爱游戏助理教授Dong Wang博士，做了一场题为“Towards Information Distillation in Social Sensing and Beyond”专场报告，广大师生踊跃参加。

    传感器和在线社交广播媒体（如Twitter和Flickr的）的出现带来了大量的数据，而现实中大量未过滤，未审查的数据泛滥，这在社会感知领域带来了前所未有的挑战和机遇，我们的目标是从拥有的数据资源中提炼出确定的信息。

    在长达一个班个小时的学术报告中，王教授简单介绍了圣母大学的概况。紧接着，进入报告的重点，王教授带来了一个新的分析框架和理论，可以从大量的不可靠的社会遥感数据中提炼出质量保证可靠的信息，值得注意的是，该分析框架是第一次联合模拟在三个深耦合网络数据背后的复杂的相互作用。其中涉及到一些深刻的数学理论和复杂的计算技巧和理论，但王教授用幽默风趣的语言形象生动地将这些繁复晦涩的知识讲的简单明了，通俗易懂。王教授还介绍了他们团队退出的一个新的信息提取系统，称为阿波罗，已广泛应用在国内外社会传感应用中，并探讨了未来工作研究的方向。在互动阶段，老师同学们踊跃发言，进行了现场提问，王教授都一一耐心解答。

    最后，会议主持做了总结发言，并再次对王教授道来表示感谢。

    主讲人简介：

    Dong Wang is an assistant professor in Computer Science and Engineering Department at the University of Notre Dame. He received his Ph.D in Computer Science from University of Illinois at Urbana Champaign (UIUC), an M.S. degree from Peking University and a B.Eng. from the University of Electronic Science and Technology of China, respectively. His research interests lie in the area of big data analytics, reliable information distillation, cyber-physical systems, human-centric sensing and crowdsourcing applications. Dong Wang has published over 30 technical papers in conferences and journals. His research on social sensing and CPS resulted in software tools that found applications in academia, industry, and government research labs. He recently authored a monograph “Social Sensing: Building Reliable Systems on Unreliable Data” published by Elsevier 2015. He received the Wing Kai Cheng Fellowship from University of Illinois in 2012 and the Best Paper Award of IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) in 2010. Dr. Wang’s website: http://www3.nd.edu/~dwang5/