DR Junhao Gan

DR Junhao Gan


  • Practical algorithms with non-trivial theoretical guarantees for solving problems on massive data. (Algorithms; Data Structures; Database Theory; Data Mining; Clustering)



  • Junhao Gan is a Lecturer in School of Computing and Information Systems (CIS) at The University of Melbourne (UoM). Before joining UoM, he was a Post-Doctoral Research Fellow in School of Information Technology and Electrical Engineering (ITEE) at the University of Queensland (UQ) in 2017 to 2018. He received his PhD degree proudly under the supervision of Prof. Yufei Tao in School of ITEE at UQ in 2017, and obtained his bachelor and master degrees at Sun Yat-Sen University in 2011 and 2013, respectively.   


Member of

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2019. PC Member 2019 -
  • ACM Symposium on Principles of Database Systems (PODS) 2020. Publicity Chair 2018 -
  • Australasian Database Conference (ADC) 2019. Co-PC Chair 2018 -
  • SIAM International Conference on Data Mining (SDM) 2019. PC Member 2018 -


Selected publications


Education and training

  • PhD, The University of Queensland 2017
  • MSc, Sun Yat-Sen University 2013
  • BSc(Hons), Sun Yat-Sen University 2011

Awards and honors

  • Not in List, 2018
  • ARC Discovery Early Career Researcher Award (DECRA) 2019, 2018
  • 2018 CORE John Makepeace Bennett (Australasian Distinguished Doctoral Dissertation) Award, 2018
  • ACM SIGMOD 2015 Best Paper Award, 2015


Available for supervision

  • Y

Supervision Statement

  • Currently, there is a PhD opening with a full scholarship under Junhao's supervision. Applications can be sent in by email attached with a detailed transcript (of the applicant's undergraduate study) and a CV that lists the applicant's awards (since high school) and publications. Applications are no longer accepted as soon as the opening is filled. Applicants with strong background in theoretical algorithms and programming are preferred. The accepted student is expected to research on both database systems and theory.