Martin Aumüller
Scholar

Martin Aumüller

Google Scholar ID: TNJYIYoAAAAJ
IT University of Copenhagen
AlgorithmsAlgorithm EngineeringSimilarity Search
Citations & Impact
All-time
Citations
1,060
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
40
list available
Resume (English only)
Academic Achievements
  • - Papers published: ann-benchmarks, big-ann-benchmarks, puffinn, danny
  • - Organized challenges: SISAP Indexing Challenge (2025, 2024), NeurIPS Practical Vector Search challenge (2023), SISAP Indexing Challenge (2023), NeurIPS Billion-Scale ANN Challenge (2021)
  • - Invited talks: Algorithm Engineering for High-Dimensional Similarity Search at SEA’20
  • - Tutorials: Neural Search in Action at CVPR’23
  • - Program committee member: SEA 2018, ESA 2018 (Track B), MMM 2019, EDML 2019, MM 2019 Reproducibility, SISAP 2019, SISAP 2020 (co-chair), ICMR 2021/2022/2023 Reproducibility (co-chair), LATIN 2022, SISAP 2024, CIKM 2024, ESA 2025 (Track S), ICML’25 VecDB Workshop (co-chair)
Research Experience
  • - Projects: Benefit and Bias of Approximate Nearest Neighbor search (2022-2025, PI)
  • - Projects: MMX-VR: Multimedia Metadata Exploration in Virtual Reality (2023-2026, co-PI)
  • - PhD students: Camilla Birch Okkels, Fabrizio Boninsegna (co-supervised with Francesco Silvestri)
  • - Finished PhD students: Christian Janos Lebeda (co-supervised with Rasmus Pagh, now postdoc at INRIA, France)
  • - Teaching experience: Taught multiple courses at IT University of Copenhagen, including Algorithmic Problem Solving, Applied Algorithms, etc.
Education
  • - PhD: 2015, Technische Universität Ilmenau, supervised by Martin Dietzfelbinger
Background
  • - Research interests: Design, analysis, and implementation of randomized algorithms, particularly for similarity search and differential privacy
  • - Position: Associate Professor in the Algorithms Group at IT University of Copenhagen, Head of MSc in Software Design
Miscellany
  • - Code available on GitHub
  • - Ancient but potentially useful algorithm visualizations: Auction Matching, Cuckoo Hashing