Martin Aumüller

I'm an associate professor in the Algorithms Group at IT University of Copenhagen. I'm mainly interested in the design, analysis, and implementation of randomized algorithms, in particular for similarity search and differential privacy. I am affiliated with the Providentia project at University of Copenhagen. Previously, I was an assistant professor at ITU and a postdoctoral researcher at ITU (working in the ERC-funded project on Scalable Similarity Search of Rasmus Pagh). I obtained my PhD in 2015 from Technische Universität Ilmenau under the supervision of Martin Dietzfelbinger.

Research

Papers
CV
Programm commitees: SEA 2018, ESA 2018 (Track B), MMM 2019, EDML 2019, MM 2019 Reproducibility, SISAP 2019, SISAP 2020 (co-chair), ICMR 2021/2022 Reproducibility (co-chair), LATIN 2022.
Invited talks: SEA 2020
PhD students: Christian Janos Lebeda (co-supervised with Rasmus Pagh), Camilla Birch Okkels
Thesis topics for students
Code: Most is available on github. Selected projects:
- ann-benchmarks: The de-facto standard for benchmarking approximate nearest neighbor search algorithms. Paper
- big-ann-benchmarks: Benchmarking approximate nearest neighbor search on billion-scale. Paper
- danny: Distributed similarity join using LSH. Paper
- puffinn: Nearest neighbor search with guarantees. Paper
Mastodon

Spring 2023, Algorithmic Fairness, Accountability, and Ethics (Master)
Spring 2023, Algorithmic Problem Solving (Bachelor + Master)
Autumn 2022, Introduction to Programming (Bachelor + Master)
Spring 2022, Algorithmic Fairness, Accountability, and Ethics (Master)
Spring 2022, Algorithmic Problem Solving (Bachelor)
Autumn 2021, Introduction to Programming (Bachelor + Master)
Summer 2021, Algorithms and Data Structures (Bachelor + Master)
Spring 2021, Algorithmic Problem Solving (Bachelor’s level)
Autumn 2020, Introduction to Programming (Bachelor + Master)
Autumn 2020, Applied Algorithms (Master’s level)
Summer 2020, Algorithms and Data Structures (Bachelor + Master)
Autumn 2019, Introduction to Programming (Bachelor’s level)
Autumn 2019, Applied Algorithms (Master’s level)
Autumn 2018, Introduction to Programming (Bachelor’s level)
Autumn 2018, Applied Algorithms (Master’s level)
Spring 2018, First-Year Project: Map of Denmark. Visualization, Navigation, Searching, and Route Planning (Bachelor’s level)
Autumn 2017, Programming Workshop (Master’s level)
Spring 2017, Algorithm Design Project (Master’s level)
Fall 2016, Introduction to Programming Workshop (Master’s level)
Spring 2016, Advanced Algorithms Seminar (Master’s level)