Peterhouse, Cambridge | CB2 1RD, United Kingdom
BrowsEm: Model-Based Web Site Loading Emulation
Holzinger, K., Klein, F., Petri, D., Lachnit, S., Gallenmüller, S., and Carle, G. (2025). In Applied Networking Research Workshop (ANRW ’25), Madrid, Spain. ACM.DOI
A novel web site loading emulation framework, enabling reproducible and controllable web performance evaluations, written in Rust.
Scalable Image AI via Self-Designing Storage
Sirin, U., Kauffman, V., Saluja, A., Klein, F., et al. (2025).IEEE Data Engineering Bulletin, Vol. 49, No. 3.
Presents Image Calculator, a self-designing image storage system that optimizes storage formats for AI workloads.
Frequency-Store: Scaling Image AI by A Column-Store for Images
Sirin, U., Kauffman, V., Saluja, A., Klein, F., et al. (2025). In CIDR ’25, Amsterdam.
A new column-store for image data, reducing data movement costs in AI applications.
polars open-source library (list.filter, arr.slice, etc.)Languages: German (native); English (fluent, C2); French (B2); Swedish (A1)
Technologies: Python; Java; C; C++; Type- / JavaScript; React; Docker; Unix; Bash; Git; GitHub; SQL; REST; Lua; x86-Assembly; RISC-V Assembly; HTTP; PyTorch; Rust