I'm Feng Xia from RMIT University, Australia.

Short Bio: Dr. Feng Xia is a Professor of Data Science & AI at RMIT University, Australia. He is/was Associate/Guest Editor of over 20 journals (e.g., TKDD, TOMM, TAI, TNNLS, TITS, TETC, and TII). He has served as the General Chair, PC Chair, Workshop Chair, or Publicity Chair of over 30 conferences, and PC Member of over 100 conferences (e.g., IJCAI, AAAI, KDD, WWW/TheWebConf, WSDM, SDM, CIKM, and NetSci). Dr. Xia has authored/co-authored over 300 scientific papers in journals and conferences (such as IEEE TAI, TKDE, TNNLS, TC, TMC, TBD, TCSS, TNSE, TETCI, TETC, THMS, TVT, TITS, TASE, ACM TKDD, TIST, TWEB, TOMM; IJCAI, AAAI, ICLR, KDD, WWW, SIGIR, WSDM, CIKM, JCDL, EMNLP, ICASSP, and INFOCOM). He was recognized as a Highly Cited Researcher (2019). Dr. Xia received a number of prestigious awards, including e.g. IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, ACM/IEEE JCDL 2020 The Vannevar Bush Best Paper Honorable Mention, and WWW 2017 Best Demo Award. He has been invited as Keynote Speaker at several international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. He is Vice-Chair of IEEE Task Force on Learning for Graphs. His research interests include artificial intelligence, graph learning, brain science, digital health, and robotics. He is a Senior Member of IEEE and ACM, and an ACM Distinguished Speaker.

I am looking for self-motivated PhD and Honours students who are interested in AI, brain science/health, and/or robotics. Scholarships are available from time to time. Feel free to contact me if you are interested. 

Visiting students, (remote) interns/research assistants, and visiting staff/researchers are welcome - limited places only.

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