Universität Bremen - Nils Hülsmeier

60 Universität Bremen - Nils Hülsmeier https://www.uni-bremen.de/me/team/mitarbeiter-des-itemme/nils-huelsmeier Master Courses, Master Abschluss, M. Sc., Abschlüsse beim ITEM de Universität Bremen Mon, 16 Mar 2026 10:23:01 +0100 Mon, 16 Mar 2026 10:23:01 +0100 Universität Bremen content-234008 Fri, 06 Dec 2024 11:41:28 +0100 Nils Hülsmeier https://www.uni-bremen.de/me/team/mitarbeiter-des-itemme/nils-huelsmeier#c234008 M. Sc. Office: NW1, W2190 Tel: +49 421 218 62549 Fax: +49 421 218 98 62549 Mail: <a class="mail" href="mailto:Huelsmeier@me.uni-bremen.de" title="Öffnet ein Fenster zum Versenden der E-Mail">Huelsmeier(at)me.uni-bremen.de</a> Research: &nbsp;&nbsp;&nbsp; - Machine learning and deep learning for digital signal processing - Efficient hardware architectures for machine learning algorithms - Alternative number formats for machine learning algorithms &nbsp; Teaching: - Grundlagen Integrierter Schaltungen (Sommersemester) -&nbsp;Skriptsprachen und Einführung in maschinelles Lernen (Sommersemester) - Mikroelektronik Labor (Sommersemester) - Circuits and Architectures for Mobile Communications (Wintersemester) Publications: Quantitative Evaluation on the Limits of SORN Arithmetic Hardware Circuits M. Bärthel, N. Hülsmeier, J. Rust, and S. Paul. In 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), Lund, Sweden, October 29-30, 2024&nbsp; Exploiting SORN-Arithmetic for Efficient Cross Correlation in Low-Complexity FPGAs J. Rust, M. Henkel, N. Hülsmeier, M. Bärthel, and S. Paul. In 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), Lund, Sweden, October 29-30, 2024 Hybrid SORN Support Vector Machine Classifier: A Hardware Implementation of the RBF Kernel N. Hülsmeier, M. Bärthel, J. Rust, and S. Paul. In 2024 Asilomar Conference on Signals, Systems, and Computers, October 27-30, 2024 Adaptive Interval Segmentation: An Algorithmic Approach for&nbsp;Optimal SORN Datatypes N. Hülsmeier, M. Bärthel, J. Rust, and S. Paul. In Next Generation Arithmetic. CoNGA 2024. Lecture Notes in Computer Science, vol 14666. Springer, Cham. Hybrid SORN Hardware Accelerator for Support Vector Machines Nils Hülsmeier, Moritz Bärthel, Jochen Rust, Steffen Paul, Proceedings of the Conference for Next Generation Arithmetic (CoNGA) 2023, Singapore, March 2023. Fused Three-Input SORN Arithmetic Moritz Bärthel, Chen Yuxing, Nils Hülsmeier, Jochen Rust, Steffen Paul, Proceedings of the Conference for Next Generation Arithmetic (CoNGA) 2023, Singapore, March 2023. Hybrid SORN Implementation of k-Nearest Neighbor Algorithm on FPGA Nils Hülsmeier, Moritz Bärthel, Ludwig Karsthof, Jochen Rust, Steffen Paul, 20th IEEE International New Circuits and Systems Conference (NEWCAS) 2022, Quebec, Canada, June 2022. On the Implementation of Edge Detection Algorithms with SORN Arithmetic Moritz Bärthel, Nils Hülsmeier, Jochen Rust, Steffen Paul, Proceedings of the Conference for Next Generation Arithmetic (CoNGA) 2022, Singapore, March 2022. Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach D. Gregorek, N. Hülsmeier and S. Paul, IEEE International Conference on Robotics and Automation (ICRA) 2021 Workshop, Xian, June 2021 SORN-based Cascade Support Vector Machine Nils Hülsmeier, Moritz Bärthel, Jochen Rust and Steffen Paul, 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020 Stochastic Fourier-Transformation Implementation for PVTAR Fault Effects Kris Niederkleine, Nils Hülsmeier, Theodor Hillebrand, Jochen Rust, Steffen Paul, 7th International Workshop on Analogue and Mixed-Signal Integrated Circuits for Space Applications (AMICSA 2018), Leuven, Belgium, June 2018. Content