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 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.
EDBT 2017 (short paper), Python Code
Ph.D Thesis 2014, Slide
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
Best Paper Awards: WWW'14, ECML-PKDD'20
Student Travel Award KDD'13, KDD'12