# Yong-Yeol Ahn

> researcher

**Wikidata**: [Q30505440](https://www.wikidata.org/wiki/Q30505440)  
**Source**: https://4ort.xyz/entity/yong-yeol-ahn

## Summary
Yong-Yeol Ahn is a researcher, computer scientist, and physicist born in 1979. His work focuses on the interdisciplinary fields of complex systems, complex networks, computer science, and machine learning. He is also identified as a university teacher.

## Biography
- **Born**: 1979
- **Known for**: Research in complex systems, complex networks, and machine learning
- **Field(s)**: computer science, machine learning, complex system, complex network

## Contributions
The provided source material identifies Yong-Yeol Ahn's work as focusing on several interconnected fields. His research encompasses computer science, complex systems, complex networks, and machine learning. The sources do not specify his individual publications, discoveries, or projects, but his work is noted as relevant by WikiProject COVID-19.

## FAQs
### Q: What are Yong-Yeol Ahn's main fields of research?
A: Yong-Yeol Ahn's research focuses on computer science, complex systems, complex networks, and machine learning. He is identified professionally as a researcher, computer scientist, and physicist.

### Q: What is Yong-Yeol Ahn's occupation?
A: According to the source material, Yong-Yeol Ahn's occupations include researcher, physicist, computer scientist, and university teacher.

### Q: When was Yong-Yeol Ahn born?
A: Yong-Yeol Ahn was born in 1979. The provided sources do not specify the exact date or place of birth.

## Why They Matter
Yong-Yeol Ahn's work is significant for its position at the intersection of computer science, network science, and machine learning. Research in complex systems and networks is fundamental to understanding the structure and dynamics of diverse phenomena, from social interactions and information diffusion to biological processes. By applying machine learning techniques to these areas, researchers can uncover hidden patterns, make predictions, and build more accurate models of complex real-world behavior. This interdisciplinary approach is crucial for addressing modern challenges in fields ranging from public health, as suggested by his inclusion in a COVID-19 project focus list, to information technology and social science. While the provided sources do not detail his specific impact, his work contributes to a critical area of contemporary science.

## Notable For
*   **Interdisciplinary Research:** Works across the fields of computer science, physics, complex systems, and machine learning.
*   **Multiple Professional Roles:** Identified as a researcher, physicist, computer scientist, and university teacher.
*   **Focus on Network Science:** Specializes in the study of complex systems and complex networks.
*   **COVID-19 Research Focus:** His work is noted as relevant by WikiProject COVID-19, indicating a focus on topics related to the pandemic.

## Body
### Professional Profile
*   **Occupations:** Researcher, Physicist, Computer Scientist, University Teacher.
*   **Fields of Work:** Computer Science, Machine Learning, Complex System, Complex Network.

### Biographical Information
*   **Birth Year:** 1979
*   **Gender:** Male
*   **Languages Spoken/Written:** English

### Online Presence and Identifiers
*   **Official Website:** http://yongyeol.com/
*   **ISNI:** 0000000483568717
*   **VIAF ID:** 229148207957200342750
*   **ResearcherID:** C-6334-2011
*   **Publons Author ID:** 337262
*   **Dimensions Author ID:** 01241666650.63
*   **Springer Nature Person ID:** 01241666650.63

## References

1. Czech National Authority Database
2. Virtual International Authority File
3. [SciGraph](https://scigraph.springernature.com/person.01241666650.63)