School of Science, Engineering and Information Technology

Assoc Prof Feng Xia

Position Discipline Leader (Information Technology)  
Office T251 (Mt Helen)
Phone +61 3 5327 6245
Emailf.xia@federation.edu.au

Qualifications

  • PhD, Zhejiang University
  • BEng, Zhejiang University

Biography

Dr. Feng Xia is currently an Associate Professor of Data Science and Discipline Leader (Information Technology) in School of Science, Engineering and Information Technology, Federation University Australia. Before joining Federation University, he has been a Full Professor and former Associate Dean of Research in School of Software, Dalian University of Technology (DUT), China.

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 TIST, TOMM, WWW, AAAI, JCDL, and INFOCOM) and 3 book chapters. Dr. Xia 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) organiser of several conferences.

Dr. Xia is recognised as a Highly Cited Researcher (2019) by Clarivate Analytics (Web of Science). His name has been included on Elsevier’s Most Cited Chinese Researchers for five consecutive years (2014-2018; 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. He is a Senior Member of IEEE and ACM.

Research interests

  • Data Science
  • Knowledge Management
  • Social Computing
  • Systems Engineering