Ninh Pham's homepage

I am a lecturer in Department of Computer Science, University of Auckland. Prior to joining UOA, I worked in Copenhagen for 7 years at University of Copenhagen (DIKU) and IT University of Copenhagen (ITU). My main research interests are in design and analysis efficient randomized algorithms for large-scale machine learning and data mining tasks in high dimensional space.

Contact: ninh dot pham at auckland dot ac dot nz

I was a postdoctoral researcher at DIKU, University of Copenhagen, working with Stephen Alstrup in the DABAI project, aiming at designing efficient algorithms for machine learning and using big data for digital learning support.

I was also a postdoctoral researcher in the Algorithms Group, ITU, involving in the SSS project, investigating efficient algorithms for high-dimensional similarity search on big data.

I received my PhD at ITU under the supervision of Rasmus Pagh in 2014. My PhD project, part of the MaDaMS project, focused on efficient randomized algorithms for big data analytics. I was the recipient of the best paper awards in WWW Conference 2014 and ECML-PKDD 2020.



  • Thesis supervision

  • Past students

  • University of Auckland

    • CS 225: Discrete Structures in Mathematics and Computer Science, 2020

    • CS 753: Algorithms for Massive Data, 2019, 2020

    • CS 320: Applied Algorithmics, 2019

    • CS 752: Big Data Management, 2019, 2020

  • University of Copenhagen:

    • Large-scale Data Analytics, Spring 2017

    • Project Course on “Authorship verification using textual features”, Fall 2017

  • IT University of Copenhagen:

    • Algorithm Design II, 2014, 2015


  • PC: WWW'15 (Poster Track), WWW'16 (Poster Track), ECAI'20, IJCAI'20, WWW'20 (Poster Track), IJCAI'21

  • External reviewer: PKDD'13, ESA'15, STOC'18

  • Journal reviewer: IEEE Transactions on Big Data (TBD), IEEE Transactions on Knowledge and Data Engineering (TKDE)


  • Best Paper Awards: WWW'14, ECML-PKDD'20

  • Student Travel Award KDD'13, KDD'12