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

Julio Urenda, Olga Kosheleva, Vladik Kreinovich, Orsolya Csiszar

Amit Kumar Choudhary, Anoop Kini, Dominic Hohs, Andreas Jansche, Timo Bernthaler, Orsolya Csiszár, Dagmar Goll, Gerhard Schneider ISSN: 2158-3226,

Further information

Orsolya Csiszár, Gábor Csiszar, Martine Ceberio, Vladik Kreinovich

Orsolya Csiszár, Luca Pusztaházi, Lehel Dénes-Fazakas, Michael Gashler, Vladik Kreinovich, Gábor Csiszár

Further information

Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich

Further information

Luca Pusztaházi, Gábor Csiszár, Michael Gashler, Orsolya Csiszár

Further information

Frequently searched:

Artificial Intelligence & Computer Science Bachelor Artificial Intelligence & Data Science

Prof. Dr. Orsolya Csiszár

Resume

Ph.D. in Applied Mathematics and Computer Science

M.Sc. in Mathematics

Accredited Translator for English

Professor of Mathematics and AI Applications

Deputy Professor

Software Developer

Business Intelligence Analyst

Lecturer

Associate Professor

Assistant Professor

Maternity Leave

Assistant Professor

Research Interests

Courses

Most Important Projects

Research Projects

Publications

Logical Inference Inevitably Appears

Machine learning-based Curie temperature prediction for magnetic 14:2:1 phases

Selecting the Most Adequate Fuzzy Operation for Explainable AI

Uninorm-like parametric activation functions for human-understandable neural models

Why Fuzzy Control Is Often More Robust (and Smoother)

Parametric activation functions modelling fuzzy connectives for better explainability of neural models