The Road to a Ph.D.
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).