兰州大学与美国德雷塞尔大学 计算机科学与技术专业本科教育
中外合作办学项目 数据科学方向
Weimao Ke 当前位置:首页 > 详细信息
作者:管理员 来源:信息学院中外合作办学项目 日期:2019-01-24
 
 
Email: wk@drexel.edu
Website: https://lincs.cci.drexel.edu/
Biography
 
Dr. Ke's research is centered on information retrieval (IR), particularly the investigation of intelligent systems that support better connection and interaction between people and information. His recent focus is on decentralized IR functions that can adapt and scale in continuously growing and increasingly interconnected information spaces. His broad interests also include complex networks/systems, text mining, information visualization, bibliometrics, machine learning, multi-agent systems, and the notion of information. Dr. Ke's major teaching interests include IR, databases, data mining, software/web development, and complex systems.
 
Research Areas
 
  • Systems & Software Engineering
  • Informatics & Data Science
 
Research Interests
 
Information retrieval (IR), distributed systems, intelligent filtering/recommendation, information visualization, network science, complex systems, machine learning, text/data mining, multi-agent systems
 
Academic Distinctions
  • PhD, Information Science, University of North Carolina at Chapel Hill
  • MA, Information Science, Indiana University Bloomington
  • BE, Chemical Engineering, East China University of Science & Technology
 
Select Publications
 
       o Weimao Ke (2013). Information-theoretic Term Weighting Schemes for Document Clustering. In JCDL’13: Proceedings   of the ACM/IEEE Joint Conference on Digital Libraries, pp. 143-152. Indianapolis, IN.
       o Weimao Ke and Javed Mostafa (2013). Studying the Clustering Paradox and Scalability of Search in Highly Distributed Environments. ACM Transactions on Information Systems, 31(2), pp. 8:1-8:36. ACM Press.
       o Weimao Ke (2013). A Fitness Model for Scholarly Impact Analysis. Scientometrics, 94(3), pp. 981-998. OnlineFirst July 2012. Springer.
       o Weimao Ke and Javed Mostafa (2010). Scalability of Findability: Efficient and Effective IR Operations in Large Information Networks. In SIGIR ’10: Proceedings of the 33nd annual international ACM SIGIR conference on research and development in information retrieval, pp. 74-81. Geneva, Switzerland. July 19-23, 2010.
       o Weimao Ke, Cassidy R. Sugimoto, and Javed Mostafa (2009). Dynamicity vs. effectiveness: Studying online clustering for Scatter/Gather. In SIGIR ’09: Proceedings of the 32nd annual international ACM SIGIR conference on research and development in information retrieval, pp. 19-26. Boston, MA. July 19-23, 2009.
 
Awards & Recognition
 
       o Recipient of the Outstanding Online Faculty Award, Drexel University, Philadelphia PA, 2013
       o Nominee for the Vannevar Bush Best Paper Award, ACM&IEEE JCDL, Indianapolis IN, 2013
       o Best Paper award nominee, International Conf on Weblog & Social Media, AAAI, Boulder CO, 2007
       o  First Place Award (of 18 teams internationally), InfoVis 2004 Contest, IEEE, Austin TX, 2004 
 
Professional Activities & Associations
 
       o Association for Computing Machinery (ACM)
       o ACM Special Interest Group on Information Retrieval (ACM SIGIR)
       o American Society for Information Science and Technology (ASIS&T)