Honors:

• Best Paper Awards: WWW'14, ECML-PKDD'20 (Data Mining)

• 2022 AI 2000 Most Influential Scholar Honorable Mention in Data Mining (Rising Star) by aminer.cn

Current Project: 

• PI: “Federated Nearest Neighbour Search: Theory and Practice” 2023 – 2026 (Marsden Fast-Start 2022) (AI: Assoc. Prof. F. Silvestri)

Ph.D. students: 

• Linghan Zeng (2023): Nearest Neighbor Search under Privacy Constraints (co-supervisor: Francesco Silvestri, Sebastian Link)

Graduated Ph.D. students: 

• Jingrui Zhang (2025): Explainable Anomaly Detection with Few Labeled Data (co-supervisor: Gillian Dobbie)

Selected Publications (full list or Google scholar):

1. Scalable DBSCAN with Random Projections

   • HaoChuan Xu, Ninh Pham

   • NeurIPS 2024, Arxiv, Code, 5-min talk

   • This work is an extension of Xu's (honours) bachelor thesis

2. Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search

   • Ninh Pham, Tao Liu

   • NeurIPS 2022 (Spotlight - Top 5%), Arxiv, Online talk at MIT, Code, 5-min teaser at NeurIPS

   • This work is an extension of Liu's master thesis, Data Science Showcase 2023

3. Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics 

   • Ninh Pham

   • KDD 2021, Supplementary, Arxiv, Slide, C++ Code

4. Efficient Estimation for High Similarities using Odd Sketches 

   • Michael Mitzenmacher, Rasmus Pagh, Ninh Pham 

   • WWW 2014, Best Paper Award, Selected as one of Notable Books and Articles in Computing of 2014, Slide, Matlab Code 

   • Media: CPH Post, Videnskab, Berlingske

5. Fast and Scalable Polynomial Kernels via Explicit Feature Maps 

   • Ninh Pham, Rasmus Pagh 

   • KDD 2013 (Oral), Slide, Matlab Code (featured in scikit-learn), Updated version correcting variance analysis in the KDD version

Services:

• PC: WWW 15-16, 20 (Poster Track), ECAI 20, IJCAI 20-24, ECML-PKDD 23-24, NeurIPS 24-25 (Top reviewer in 25), ICLR 25-26, ICML 25-26 (Gold reviewer in 26)

• External reviewer: PKDD'13, ESA'15, STOC'18, KDD'22, PODS'24

• Journal reviewer: TKDE, TIST, DAMI

Teaching:

• Thesis supervision

• Past master/bachelor students

• University of Southern Denmark

  • DSK 814: Algorithms and Data Structures, 2026

  • DM 8106: Mining Massive Data Sets, 2026

• University of Auckland

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

  • CS 320: Applied Algorithmics, 2019, 2021 - 2024

  • CS 717: Fundamentals of Algorithmics, 2022 - 2024

  • CS 752: Big Data Management, 2019 - 2024

  • CS 753: Algorithms for Massive Data, 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