Prof. Dr. rer. nat. Klaus Dohmen

This page was translated automatically using artificial intelligence (DeepL). The German version is binding. More information about automatic translation

Faculty Applied Computer Sciences and Biosciences

Chair in Computer-Based Mathematics

Prof. Dr. rer. nat. Klaus Dohmen

Fakultät Angewandte Computer- und Biowissenschaften

+49 3727 582235

dohmen@hs-mittweida.de

Profile

6-127

Visitor address

Am Schwanenteich 4b

09648 Mittweida

6-127

Postal address

Mittweida University

Fakultät Angewandte Computer- und Biowissenschaften

Technikumplatz 17

09648 Mittweida

Areas of work

Discrete Mathematics
Theoretical Computer Science
Cryptology

Modules

Advanced Topics in Modern Cryptography
Algebra
Computer Algebra
Cryptanalysis
Foundations of Modern Cryptography
Graph Theory
Graph and Network Algorithms
Fundamentals and Applications of Cryptology
Cryptanalysis
Number Theory
Theoretical Computer Science

Self-governance

International Liaison Officer
Member of the Examination Board
Dean (2006–2009)

Publications

R. Schubert, T. Davies, M. Lange-Geisler, K. Dohmen, T. Villmann

Privacy-preserving nearest prototype classifier

Appeared in: Neurocomputing 671 (2026), P. 132673

DOI: 10.1016/j.neucom.2026.132673

M. Lange-Geisler, K. Dohmen, T. Villmann

Learning of Probability Estimates for System and Network Reliability Analysis by Means of Matrix Learning Vector Quantization

Presented on: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2025

T. Davies, R. Schubert, M. Lange-Geisler, K. Dohmen, T. Villmann

Towards Learning Vector Quantization in the Setting of Homomorphic Encryption

Presented on: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2025

K. Dohmen, M. Trinks

An Abstraction of Whitney's Broken Circuit Theorem

Appeared in: The Electronic Journal of Combinatorics 21 (2014), P. P4.32

DOI: 10.37236/4356

K. Dohmen

Lower bounds for the probability of a union via chordal graphs

Appeared in: Electronic Communications in Probability 18 (2013)

DOI: 10.1214/ecp.v18-2357

What is the HSMW?

Find out more

Mittweida University of Applied Sciences is a boundless testing ground aimed at driving business and society forward. How? Through academically trained specialists and straightforward collaboration, which enables regional businesses to benefit directly from our findings – or to gain new insights through joint research projects that can be put into practice straight away. We enable students to test their limits by developing their own skills and exploring new horizons.

6.350

Students

590

dedicated staff

100

Partner universities worldwide

161

Years at HSMW

Find out more