夏锋

Personal Information

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Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates  

Other Post:软件学院副院长

Personal Profile

Dr. Feng Xia is currently Full Professor in School of Software, Dalian University of Technology (DUT), China. He is/was on the Editorial Boards of over 10 int’l journals. He has served as the General Chair, Program Committee Chair, Workshop Chair, or Publicity Chair of over 30 int’l conferences and workshops, and Program Committee Member of over 50 conferences. He is also the Guest Editor of over 10 journal special issues and a (founding) organizer of several conferences. Dr. Xia has authored/co-authored two books, over 300 scientific papers in int’l journals and conferences (such as IEEE TKDE, TC, TMC, TBD, TCSS, TPDS, TETC, THMS, TETCI, TVT, TII, TITS, TASE, IEEE/ACM TON, ACM TKDD, TIST, TOMM, WWW, AAAI, SIGIR, JCDL, and INFOCOM) and 3 book chapters, and has edited 3 int’l conference proceedings and 6 books (in Chinese). He was recognized as a Highly Cited Researcher (2019) by Clarivate Analytics (Web of Science Group). His name has been included on Elsevier’s Most Cited Chinese Researchers for six consecutive years (2014-2019; ever since its inaugural version). Dr. Xia received a number of prestigious awards, including WWW 2017 Best Demo Award, IEEE DataCom 2017 Best Paper Award, IEEE UIC 2013 Best Paper Award, and IEEE Access Outstanding Associate Editor. He has been invited as Keynote Speaker at seven international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include data science, knowledge management, social computing, and systems engineering. He is a Senior Member of IEEE and ACM.

Education Background

2001.9 2006.12

  • 浙江大学
  • 控制科学与工程
  • Doctoral Degree

1997.9 2001.7

  • 浙江大学
  • 自动化
  • Bachelor's Degree

1994.9 1997.7

  • 湖北省麻城一中

Work ExperienceMore>>

2014.12 Now
  • 大连理工大学
  • 教授
2009.2 2014.12
  • 大连理工大学
  • 副教授
2007.4 2009.2
  • 浙江大学
  • 博士后

Social Affiliations

Research FocusMore>>

  • Data Science
  • Social Computing
  • Knowledge Management