# Zuzana Kúkelová

> Slovak computer scientist

**Wikidata**: [Q82821405](https://www.wikidata.org/wiki/Q82821405)  
**Source**: https://4ort.xyz/entity/zuzana-kukelova

## Summary
Zuzana Kúkelová is a Slovak computer scientist and university teacher known for her research in computer graphics, cybernetics, and mathematics. Born in 1981, she has been recognized as a promising scientist in the field of computer science, notably receiving the Neuron Prize in 2023. Her academic work spans several disciplines, including informatics and electrical engineering.

## Biography
- **Born:** 1981
- **Nationality:** Slovak
- **Education:** Comenius University (education completed by October 2005)
- **Known for:** Research in computer graphics, minimal solvers, and algebraic geometry applications in computer vision.
- **Employer(s):** University teacher (specific institution not detailed in source)
- **Field(s):** Computer Science, Computer Graphics, Mathematics, Cybernetics, Informatics

## Contributions
Zuzana Kúkelová has contributed significantly to the academic fields of computer science and mathematics, primarily through her work as a researcher and university teacher. Her professional identity is anchored in the intersection of computer graphics and algebraic methods.

While specific paper titles are not listed in the provided source data, her contributions are tracked by major scientific indexing services, including Scopus (Author ID: 22234728000), DBLP (Author ID: 17/4583), and zbMATH (Author ID: kukelova.zuzana). This presence indicates a robust body of published peer-reviewed research. Her work specifically involves the study of computation and computational systems, bridging the gap between abstract mathematics and practical computer graphics.

In 2023, her contributions were publicly recognized when she received the "Neuron Prize for young promising scientists" in the category of computer science. This award highlights her status as an emerging leader in her field within the Czech and Slovak scientific community. Additionally, she maintains an academic website (kukelova.weebly.com), serving as a repository for her research and professional activities.

## FAQs

### Q: What is Zuzana Kúkelová known for?
A: She is known for being a Slovak computer scientist and university teacher with specific expertise in computer graphics, cybernetics, and mathematics.

### Q: What awards has Zuzana Kúkelová received?
A: In 2023, she received the Neuron Prize for young promising scientists in the field of computer science.

### Q: Where was Zuzana Kúkelová educated?
A: She attended Comenius University, with her education record noting an end date of October 26, 2005.

### Q: What is her professional background?
A: Beyond being a computer scientist, she is also classified as an electrical engineer, mathematician, and university teacher.

## Why They Matter
Zuzana Kúkelová represents a vital link between theoretical mathematics and applied computer science. Her work in computer graphics and cybernetics addresses complex computational problems, contributing to the advancement of how computational systems handle data storage, retrieval, and visual representation.

Her recognition with the 2023 Neuron Prize underscores the impact of her research on the scientific community, marking her as a significant contributor to the next generation of scientific discovery in Central Europe. By engaging in multidisciplinary work—spanning informatics, mathematics, and engineering—she helps push the boundaries of what is possible in computer vision and graphics. Her role as a university teacher also suggests a commitment to educating future engineers and scientists, amplifying her impact through her students and academic mentorship.

## Notable For
- Receiving the **Neuron Prize** for young promising scientists in Computer Science (2023).
- Multidisciplinary expertise spanning **computer graphics, cybernetics, and mathematics**.
- Academic background at **Comenius University**.
- Holding multiple professional identities including **electrical engineer** and **university teacher**.
- Recognition by major academic databases such as **Scopus, DBLP, and zbMATH**.

## Body

### Academic Background
Zuzana Kúkelová was born in 1981. She pursued higher education at Comenius University, a significant period of which concluded on October 26, 2005. Her academic training laid the foundation for a career that bridges multiple technical disciplines.

### Professional Roles and Research
Kúkelová occupies a unique space in the scientific community, holding classifications as a computer scientist, electrical engineer, mathematician, and university teacher. Her primary fields of work include:
*   **Computer Science:** The study of computation.
*   **Computer Graphics:** A sub-field of computer science focused on visual data.
*   **Cybernetics:** The study of control and communication in biological and mechanical systems.
*   **Informatics:** The study of computational systems, particularly data storage and retrieval.

She speaks English in addition to her native Slovak, facilitating her participation in the global scientific community.

### Recognitions and Identifiers
Her standing in the academic community is evidenced by her receipt of the Neuron Prize in 2023, awarded to young promising scientists in computer science. Her research output and identity are cataloged under several authoritative identifiers:
*   **VIAF ID:** 19149414901589550498
*   **Scopus Author ID:** 22234728000
*   **DBLP Author ID:** 17/4583
*   **ResearcherID:** M-7938-2016
*   **zbMath Author ID:** kukelova.zuzana

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-1916-8829/education/2229749)
3. [Ceny Neuron 2023](https://www.nfneuron.cz/ceny-neuron-2023)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-1916-8829/researcher-urls/805354)
5. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-1916-8829/external-identifiers/541023)
6. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-1916-8829/external-identifiers/541055)