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I'm Feng Xia from RMIT University, Australia.

Dr. Feng Xia is a Professor of Computer Science at RMIT University, Australia. He is/was Associate/Guest Editor of over 20 int’l journals (e.g., TKDD, TOMM, TNNLS, TITS, TETC, and TII). He has served as the General Chair, PC Chair, Workshop Chair, or Publicity Chair of over 30 int’l conferences and workshops, and PC Member of over 100 conferences (e.g., IJCAI, AAAI, KDD, WWW, WSDM, CIKM, and NetSci). Dr. Xia has authored/co-authored two books and over 300 scientific papers in int’l journals and conferences (such as IEEE TAI, TKDE, TNNLS, TC, TMC, TPDS, TBD, TCSS, TNSE, TETCI, TETC, THMS, TVT, TITS, TASE, ACM TKDD, TIST, TWEB, TOMM, WWW, AAAI, SIGIR, WSDM, CIKM, JCDL, EMNLP, and INFOCOM). He was recognized as a Highly Cited Researcher (2019). Dr. Xia received a number of prestigious awards, including IEEE DSS 2021 Best Paper Award, IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, ACM/IEEE JCDL 2020 The Vannevar Bush Best Paper Honorable Mention, IEEE CSDE 2020 Best Paper Award, 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 several int’l conferences, and delivered a number of Invited Talks at int’l conferences and many universities worldwide. His research interests include data science, artificial intelligence, graph learning, and systems engineering. He is a Senior Member of IEEE and ACM, and an ACM Distinguished Speaker.

I am looking for self-motivated PhD students who are interested in AI, data science,  brain science, and/or digital health. Scholarships are available from time to time. Feel free to contact me if you are interested.
Note that outstanding 4-year Bachelor degree holders (from overseas) are also welcome to apply for PhD entry - Master's degree is not a prerequisite. 

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