Tord Stordalen

I'm a PhD student in algorithms and data structures at the Technical University of Denmark. I focus primarily on problems related to searching, strings, and algorithms for modern hardware. My advisors are Philip Bille and Inge Li Gørtz.

Publications

Sliding Window String Indexing in Streams.
Philip Bille, Johannes Fischer, Inge Li Gørtz, Max Rishøj Pedersen, and Tord Stordalen.
In Proceedings of the 34th Annual Symposium on Combinatorial Pattern Matching, 2023. [draft of full version]
Awarded 'best student paper' at CPM 2023.

The Complexity of the Co-Occurrence Problem.
Philip Bille, Inge Li Gørtz, and Tord Stordalen.
In Proceedings of the 29th International Symposium on String Processing and Information Retrieval, 2022. [draft of full version]

Predecessor on the Ultra-Wide Word RAM.
Philip Bille, Inge Li Gørtz, and Tord Stordalen.
In Proceedings of the 18th Scandinavian Workshop and Symposium on Algorithms, 2022. [draft of full version]

Talks

Sliding Window String Indexing in Streams. [slides]

At the 34th CPM (Annual Symposium on Combinatorial Pattern Matching), June 2023.

The Complexity of the Co-occurrence Problem. [slides]

At the 29th SPIRE (International Symposium on String Processing and Information Retrieval), November 2022.

Predecessor on the Ultra-Wide Word RAM. [slides]

At the 18th SWAT (Scandinavian Workshop and Symposium on Algorithms), June 2022.
At the 27th ARCO (Algorithmic Research: Cooperation around Oresound), May 2022.

Teaching

I've been a teaching assistant in the following courses.

Algorithmic Techniques for Modern Data Models (2020, 2021,2022)
Algorithms for Massive Data Sets (2020, 2022)
Algorithms and Data Structures 2 (2019, 2020)
Algorithms and Data Structures 1 (2017, 2018, 2019, 2020)

Contact

Tord Stordalen (tjost@dtu.dk)
Technical University of Denmark
Building 322, room 023
DK-2800, Kgs. Lyngby