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M.Sc. Stefan Hermann

Research Intrest

Hash tables are a ubiquitous component of computer science. They offer a wide range of functionality such as query(key), insert(key), etc. How can such a data structure be stored in a particularly space-efficient way? The question becomes particularly interesting when only a subset of the functionalities are supported, which can result in astonishing space savings. For this reason, my research deals with so-called retrieval structures and perfect hash functions. Orthogonally, I work on both CPU and GPU parallelization.


Publications


PHOBIC: Perfect Hashing With Optimized Bucket Sizes and Interleaved Coding
Hermann, S.; Lehmann, H.-P.; Pibiri, G. E.; Sanders, P.; Walzer, S.
2024. 32nd Annual European Symposium on Algorithms (ESA 2024). Ed.: T. Chan, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/LIPIcs.ESA.2024.69Full textFull text of the publication as PDF document
Towards Detecting Complete Chest Recoil from Smartphone Vibration Strength during Cardiopulmonary Resuscitation
Hermann, S.; Röddiger, T.; Beigl, M.
2022. Proceedings of the 2022 ACM International Symposium on Wearable Computers, 103–105, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558472
Cardiopulmonary Resuscitation Support: Comparison of Wrist-, Chest-, and Ear-Worn Devices and Estimation Algorithms
Hermann, S.; Breitling, P.; Röddiger, T.; Beigl, M.
2020. ISWC’21: Proceedings of the 2021 ACM International Symposium on Wearable Computers: September 21-26, 2021 ; Virtual Event, 28–32, Association for Computing Machinery (ACM). doi:10.1145/3460421.3478820

Teaching

Lectures
Title Type Semester Location
Vorlesung (V) WS 24/25
lab course SS 24