报告题目：Velocity weight function and applications in the Boltzmann theory

报告人：段仁军 教授（香港中文大学）

报告时间：2022年5月13日 14:30-16:30

报告地点：腾讯会议：562 955 2852 会议密码：712101

报告内容摘要：

报告题目：In situ measurement by wireless electrical resistance technique for particles detecion

报告人：Dr.Yosephus A K Prayitno

报告时间：2022年5月14日 13:00-15:00

报告地点：腾讯会议：946-877-664

报告内容摘要：

报告题目：Community Crowdsourcing: Lessons Learned and a Research Agenda

报告所属学科：管理科学与工程

报告人：Gert-Jan De Vreede（南佛罗里达大学(USF)）

报告时间：2022年5月23日 9:00

报告地点：腾讯会议：608-464-874

报告摘要：

The ubiquity of collaboration technologies allows companies, non-profits, and governmental organizational to engage large numbers of people both within and outside their organizational boundaries. This has given rise to new forms of collaboration: From small group, focused and time-boxed collaboration, to an environment in which unstructured, longitudinal mass collaboration is the norm. Specific examples include the Linux open source community, Wikipedia, or new phenomena such as Open Innovation and Collective Intelligence. A particularly interesting phenomenon is crowdsourcing. Research has shown that crowdsourcing can be a very productive approach for organizations. Yet, initiating and sustaining user engagement is but one of the many complex research challenges facing crowdsourcing practitioners and researchers. This seminar will discuss a number of recent research advances in open collaboration crowdsourcing based on a large scale field study with a community crowdsourcing service provider. It will also outline a program of research to increase the value and utility of this type of crowdsourcing.

报告人简介：

Gert-Jan De Vreede，南佛罗里达大学(USF)的教授，现任《Group Decision & Negotiation》主编、《AIS Transactions on Human-Computer Interaction》高级编辑、《Information & Management》副主编，夏威夷系统科学国际会议主席。他的研究方向包含人工智能、众包与网络协作。学术成果丰硕，著作被引用超1万次，斯坦福大学(Stanford University)的一项研究将他确定为全球所有研究领域中排名前2%的研究员。2011年，他获得了由INFORMS Group Decision & Negotiation Section颁发的GDN Section奖，以表彰他在群决策和协作研究领域以及INFORMS GDN Section的成就和贡献。

报告题目：建筑行业数字孪生体系结构的探讨

报告所属学科：管理科学与工程

报告人：吴鹏（Curtin University）

报告时间：2022年5月25日 14:00-16:00

报告地点：腾讯会议779527640

报告摘要：

This presentation aims to provide a comprehensive investigation of key terminologies, concepts and techniques related to the use of digital twin in the architectural, engineering and construction industry based on more than 10 years of research experience. Specifically, it covers digital model building, real-time data collection, and advanced big data analytics to make informed decisions. Real life case studies in the building, road, oil and gas industries are provided to demonstrate the usefulness of these technologies. Future trend related to the use of digital twin in the industry will also be discussed.

报告人简介：

吴鹏教授毕业于清华大学和新加坡国立大学，目前任职与澳大利亚科廷大学设计与建筑学院教授，与可持续环境研究中心数字工程主任。主要研究方向包括数字孪生技术，工程碳排新型计算方法以及应用，工程大数据的探索以及应用。吴鹏教授于2015年获得澳洲国家自然科学基金优青项目。目前一共发表超过100篇高质量SCI期刊文章，获得近6000次的学术引用。