Prof. Dr. Orsolya Csiszár

Room

G2 2.10

Telephone

+49 7361 576-5567

Email Address

orsolya.csiszar[at]hs-aalen.de

Resume
Research Projects
Publications

1998 - 2016 Education

2002 - present Working Experience

Aalen University, Faculty of Electrical Engineering and Computer Science, Aalen, Germany.

Esslingen University of Applied Sciences, Faculty of Basic Sciences, Esslingen, Germany. part time, 50-70%

Dopti LtD, Budapest, Hungary. part time, 50%

Reader’s Digest , Stuttgart, Germany. part time, 50%

Esslingen University of Applied Sciences, Faculty of Basic Sciences, Esslingen, Germany.

Óbuda University, John von Neumann Faculty of Computer Science, Institute of Applied Mathematics, Budapest, Hungary.

Óbuda University, John von Neumann Faculty of Computer Science, Institute of Applied Mathematics, Budapest, Hungary. part time, 50%

University of Applied Sciences Budapest, John von Neumann Faculty of Computer Science, Budapest, Hungary.

Further Academic Activities

Language Skills

Research Interests

Courses

In English, German and Hungarian languages, on-campus, virtual and hybrid

Calculus
Linear Algebra
Differentialgeometry
Differential Equations, Systems of Differential Equations
Integraltransformations, Fourier-Analysis
Statistics and Probability Theory
MATLAB
Tutorium Mathematics
Applied Mathematics for Electrical Engineering
Applied Mathematics for Industrial Engineering
Applied Mathematics for Computational Engineering
Preliminary Courses for first-year students
Workshop "Maths meets Artistry - Computer Animation"
Workshop "Non-euclidean Geometries"
Workshop "Coding for kids"

Most Important Projects

Smart-DATA in SmartPro
NextGenNDT, High-precision non-destructive testing in industrial production by means of new AI methods
Carl Zeiss Foundation MEMORI , Machine learning methods for determining functional properties of smart materials (development of innovative magnetic and battery materials)
MAP Health Watch - Signal Processing and Noise Filtering, Mobile Application

Research Projects

NextGenNDT, university of applied sciences cooperative: High-precision non-destructive testing in industrial production using new AI procedures
Carl Zeiss Foundation MEMORI, sub-project, machine learning methods for determining functional properties of intelligent materials (development of innovative magnetic and battery materials)
Smart-DATA in SmartPro

Orsolya Csiszár, Daniel Zeltner, Benedikt Schmid, Gábor Csiszár

Further information

Orsolya Csiszár, G. Csiszár, J. Dombi

Orsolya Csiszár, J. Urenda, G. Csiszár, J. Dombi, G. Eigner

Orsolya Csiszár, G. Csiszár, H. Solodenko, R. Lawitzki, W. Ma, C. Everett

Orsolya Csiszár, K. Alvarez, J. Urenda, G. Csiszár, J. Dombi, G. Eigner, V. Kreinovich

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Prof. Dr. Orsolya Csiszár

Resume

Ph.D. in Applied Mathematics and Computer Science

M.Sc. in Mathematics

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Research Interests

Courses

Most Important Projects

Research Projects

Publications

Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic

How to implement MCDM tools and continuous logic into neural computation? Towards better interpretability of neural networks

Interpretable Neural Networks Based on Continuous-Valued Logic and Multicriteria Decision Operators

Natural Invariance Explains Empirical Success of Specifific Membership Functions

Structure-property relationship of multi-component iron-oxide nanowires by means of atom probe tomography, analytic microscopy and nonlinear mechanics

Towards Fast and Understandable Computations: Which "And"- and "Or"-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations?