中国科大学位与研究生教育
课程名称: 教师:
当前位置:
 >> 
 >> 
The Road to a Ph.D.
The Road to a Ph.D.
教师介绍

本讲教师:熊辉
所属学科:工科
人  气:2782

课程介绍
美国罗格斯-新泽西州立大学熊辉教授学术报告会 题目:The Road to a Ph.D. 时间:2016年12月15日上午10:00 地点:西区科技实验西楼117报告厅 Abstract: In this talk, I would like to introduce insights into strategies for how to have more energy, be more efficient, and be more relaxed, and get a lot more accomplished on the road to a PhD. Specifically, I will share my experience about some of the misperception that many Chinese students have during their PhD study in USA. In particular, I will discuss issues, such as “How to be a self-motivated student?”, “What is the right attitude for PhD study?”, “How to be balanced between work and life?”, “How important are communication skills?”, “How to do conflict management?”, “How to do time management?”, “How important are marketing skills?”, “What is the difference between leadership and management?”, and “How to build and maintain relationships?”. Dr. Hui Xiong is currently a Full Professor and the Vice Chair in the Management Science and Information Systems Department, and the Director of Rutgers Center for Information Assurance, at the Rutgers, the State University of New Jersey, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), the ICDM-2011 Best Research Paper Award (2011), a RBS Dean’s Research Professor Award (2016), and an IBM ESA Innovation Award (2008). Dr. Xiong is also a Distinguished Visiting Professor (Grand Master Chair Professor) at the University of Science and Technology of China (USTC). For his outstanding contributions to data mining and mobile computing, he was elected an ACM Distinguished Scientist in 2014. Dr. Xiong received his Ph.D. in Computer Science from the University of Minnesota (UMN), USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), Hefei, China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. His general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. He has published prolifically in refereed journals and conference proceedings (4books, 70+ journal papers, and 130+ conference papers. He is an Associate Editor of IEEE Transactions on Data and Knowledge Engineering (TKDE), IEEE Transaction on Big Data (TBD), ACM Transactions on Knowledge Discovery from Data (TKDD), and ACM Transactions on Management Information Systems (TMIS). He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the 2013 IEEE International Conference on Data Mining (ICDM-2013), and a General Co-Chair for the 2015 IEEE International Conference on Data Mining (ICDM-2015).
致谢:本课件的制作和发布均为公益目的,免费提供给公众学习和研究。对于本课件制作传播过程中可能涉及的作品或作品部分内容的著作权人以及相关权利人谨致谢意!
课件总访问人次:24098912
中国科学技术大学研究生网络课堂试运行版,版权属于中国科学技术大学研究生院。
本网站所有内容属于中国科学技术大学,未经允许不得下载传播。
地址:安徽省合肥市金寨路96号;邮编:230026。TEL:+86-551-63602929;E-mail:wlkt@ustc.edu.cn。

扫一扫,手机版