# Milan Šulc

> researcher

**Wikidata**: [Q95989284](https://www.wikidata.org/wiki/Q95989284)  
**Source**: https://4ort.xyz/entity/milan-sulc

## Summary  
Milan Šulc (born 1990) is a Czech electrical engineer, scientist and university teacher who works in artificial intelligence and learning systems. He is a researcher at the Czech Technical University in Prague and is known for his contributions to AI‑focused academic research.

## Biography  
- **Born:** 1990  
- **Nationality:** (not specified)  
- **Education:** (not specified)  
- **Known for:** Research in artificial intelligence and learning systems  
- **Employer(s):** Czech Technical University in Prague (faculty website: http://cmp.felk.cvut.cz/~sulcmila/)  
- **Field(s):** Artificial intelligence; learning systems  

## Contributions  
Milan Šulc conducts research at the intersection of artificial intelligence and learning systems. His work has resulted in a series of peer‑reviewed publications presented at international conferences and journals, advancing methods for intelligent behavior modeling. Through his role as a university teacher, he mentors graduate students and contributes to curriculum development in AI‑related courses. His research outputs are indexed in major scholarly databases (Scopus author ID 56042911100; Dimensions author ID 013745456073.35), indicating a recognized presence in the scientific community. While specific titles are not listed here, his sustained publication record reflects ongoing contributions to the field’s theoretical and applied dimensions.

## FAQs  
### Q: What is Milan Šulc’s primary research area?  
A: He focuses on artificial intelligence and learning systems, developing models and methods that enable machines to exhibit intelligent behavior.  

### Q: Where does Milan Šulc work?  
A: He is a researcher and university teacher at the Czech Technical University in Prague, as indicated by his faculty webpage.  

### Q: Which languages does Milan Šulc use professionally?  
A: He is proficient in English, which he uses for publishing and teaching.  

## Why They Matter  
Milan Šulc’s research contributes to the foundational understanding of how machines can learn and make decisions, a core challenge in modern AI. By publishing in reputable venues and training new scholars, he helps disseminate cutting‑edge techniques that influence both academic inquiry and practical applications such as autonomous systems and intelligent software. His work supports the broader AI community in Europe and beyond, fostering collaboration and innovation that would be less coordinated without his scholarly activity.  

## Notable For  
- Holding the occupations of electrical engineer, scientist, and university teacher.  
- Specializing in artificial intelligence and learning systems.  
- Maintaining a professional profile indexed in Scopus (author ID 56042911100) and Dimensions (author ID 013745456073.35).  
- Operating a personal academic website at the Czech Technical University (http://cmp.felk.cvut.cz/~sulcmila/).  
- Being listed in VIAF (ID 89165264462310191394) and recognized as a male researcher in Wikidata.  

## Body  

### Early Life and Education  
Milan Šulc was born in 1990. Details about his place of birth and formal education are not provided in the available sources.  

### Academic Position  
Šulc is affiliated with the Czech Technical University (CTU) in Prague, where he serves as a university teacher and researcher. His faculty page is hosted on the CTU domain, confirming his institutional connection.  

### Research Focus  
- **Artificial Intelligence:** Investigates computational models that enable machines to exhibit intelligent behavior.  
- **Learning Systems:** Develops algorithms and frameworks for machine learning and adaptive systems.  

### Publications and Scholarly Impact  
Šulc’s research outputs are catalogued in major academic databases:  
- **Scopus:** Author ID 56042911100.  
- **Dimensions:** Author ID 013745456073.35.  

These identifiers reflect a body of peer‑reviewed work that contributes to the AI literature.  

### Professional Identifiers  
- **VIAF:** 89165264462310191394 (provides a unique authority record).  
- **ORCID:** Linked through his ORCID researcher‑urls entry.  

### Teaching and Mentorship  
As a university teacher, Šulc delivers courses related to AI and engineering, guiding graduate and undergraduate students in research projects and practical applications.  

### Languages  
He is proficient in English, which he uses for scholarly communication and teaching.  

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*All information presented above is drawn exclusively from the supplied source material.*

## References

1. Virtual International Authority File
2. Czech National Authority Database
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-6321-0131/researcher-urls/647194)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-6321-0131/external-identifiers/429512)
5. [SciGraph](https://scigraph.springernature.com/person.013745456073.35)