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发布时间:2019-10-30    作者:工学部
  主题:Social bots and Trustworthy in the Net(网络社交机器人与可信性)

  时间:10月30日 13:00

  地点:19号楼201会议室

  主办:工学部计算机与信息工程学院网络工程教研室

  主讲人:陈志雄

  主讲人简介:  

  陈志雄,美国默西学院网络信息安全与防御研究中心主任,终身教授。  

  在加入默西学院(Mercy College)担任终身教授之前,陈志雄博士曾任职于大西洋城赌场游戏交通大西洋城赌场平台,也是IBM研究中心的资深研究科学家。他是信息保障和网络安全防御教育主管。他目前主要研究互联网社交媒体和服务计算领域的数据安全,包括区块链、云计算和自主计算。发表了40多篇期刊和会议论文,并在各种IEEE会议上担任项目主席和委员会成员。他拥有CISSP(认证信息系统安全专业人员),是IEEE和ACM的高级成员。陈博士还为美国最大的中国组织之一中国科学技术协会服务。陈博士获得了匹兹堡大西洋城赌场平台数学博士和计算机科学硕士学位,大西洋城赌场游戏交通大西洋城赌场平台数学学士和硕士学位。

  Before joining Mercy College as a tenured full professor, Dr. Chen was an assistant professor at Shanghai Jiao Tong University and a senior research scientist in the IBM Research Center. He is serving a director of Information Assurance and Cybersecurity Defense Education. His current research interests are on data security in the areas of Internet Social Media and Services Computing including Blockchain, Cloud Computing and Autonomic Computing. He has published over 40 peer reviewed journal and conference papers, and served as program chairs, committee members in various IEEE conferences. He holds CISSP (Certified Information Systems Security Professional) and is a senior member of both IEEE and ACM. Dr. Chen also served the President the Chinese Association of Science and Technology, one of the largest Chinese organizations in the US. Dr. Chen holds a PhD in Mathematics and MS in Computer Science from the University of Pittsburgh and BS and MS in Mathematics from Shanghai Jiao Tong University.

  讲座简介:

  社交机器人是一种计算机程序,能够在计算机通信中与其他参与者进行交互。它们能够表现出某些类似人类的行为,并执行某些任务。随着互联网社交网络中的社交机器人越来越多,特别是那些具有深厚知识和学习能力的智能社交机器人,社会科学、大众传媒传播、计算机科学等决策学科都面临着巨大的挑战。社会话语不再以发现真相和相互理解为中心,而是利用人类的弱点来影响结果。本次演讲旨在深入了解社交机器人出现时的计算机通信和社交结构,并从不同角度提出可能的解决方案。本讲座也将讲解区块链技术应用于社交网络。

  Social bots are computer programs that are able to interact with other actors in computer-mediated communications. They are able to exhibit certain human like behaviors and to perform certain tasks. With more and more social bots in an Internet social network, especially those smart social bots equipped with deep knowledge and learning capability, social science, mass media communication, computer science and some other decision-making disciplines are facing great challenges. Social discourse is no longer centered on finding truth and understanding each other but on exploiting human weakness to influence outcomes. This talk is to provide insights into computer-mediated communications and social structures in the appearance of social bots and to offer different perspectives of possible solutions to cope with. The final part of this talk is devoted to exploiting blockchain technology to social networks.

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