# Grzegorz J Nalepa

> researcher

**Wikidata**: [Q104687380](https://www.wikidata.org/wiki/Q104687380)  
**Source**: https://4ort.xyz/entity/grzegorz-j-nalepa

## Summary
Grzegorz J. Nalepa is a Polish computer science researcher specializing in artificial intelligence (AI). He is a faculty member at Jagiellonian University and has contributed to AI research through academic work and supervision of doctoral students. His expertise spans the development and study of intelligent systems.

## Biography
- **Born**: [Date and place not specified]  
- **Nationality**: Polish  
- **Education**:  
  - Doctorate (AGH University of Science and Technology, 2004)  
  - Habilitation (AGH University of Science and Technology, 2012)  
- **Known for**: Research in artificial intelligence and supervision of doctoral candidates  
- **Employer(s)**: Jagiellonian University (since 2010)  
- **Field(s)**: Computer science, artificial intelligence  

## Contributions  
Grzegorz J. Nalepa has advanced AI research through academic leadership and mentorship. He supervised doctoral students such as Krzysztof Kutt and Szymon Bobek, contributing to the next generation of AI researchers. His work is documented in academic platforms like Scopus (author ID: 55879229400) and ResearcherID (E-5016-2011), reflecting his publication activity in the field. While specific projects or papers are not detailed in the source material, his roles at Jagiellonian University and AGH University underscore his institutional impact on AI education and research in Poland.

## FAQs  
### Q: Where does Grzegorz J. Nalepa work?  
A: He is employed at Jagiellonian University in Kraków, Poland, a position he has held since 2010.  

### Q: What are his notable academic achievements?  
A: Nalepa earned a doctorate (2004) and habilitation (2012) from AGH University of Science and Technology, both milestones in his academic career.  

### Q: What field is he known for?  
A: His primary field is artificial intelligence, with a focus on developing intelligent systems.  

## Why They Matter  
Grzegorz J. Nalepa’s contributions to AI research and education have strengthened Poland’s academic presence in the field. By supervising doctoral students and holding key roles at prestigious institutions like Jagiellonian University, he has fostered innovation and knowledge transfer in AI. His work aligns with global efforts to advance intelligent systems, ensuring Polish academia remains competitive in this critical area of computer science.

## Notable For  
- Supervision of doctoral students (e.g., Krzysztof Kutt, Szymon Bobek)  
- Habilitation in computer science (2012)  
- Affiliation with Jagiellonian University, one of Poland’s oldest and most respected institutions  

## Body  
### Academic Career  
Grzegorz J. Nalepa began his academic career at AGH University of Science and Technology, where he earned his doctorate (2004) and habilitation (2012). He joined Jagiellonian University in 2010, contributing to its computer science and AI programs.  

### Research Focus  
His research centers on artificial intelligence, particularly the development of intelligent systems. While specific projects are not enumerated in the source material, his affiliation with AI-related fields and supervision of doctoral candidates highlight his active role in the discipline.  

### Advisory Roles  
Nalepa has mentored doctoral students, including Krzysztof Kutt and Szymon Bobek, who have continued work in AI and related areas. This advisory work underscores his commitment to nurturing emerging talent in the field.  

### Institutional Affiliations  
- **Jagiellonian University**: Employed since 2010, contributing to research and education in computer science.  
- **AGH University of Science and Technology**: Awarded his doctoral and habilitation degrees, marking key stages in his academic progression.

## References

1. [ORCID Public Data File 2021](https://pub.orcid.org/v3.0/0000-0002-8182-4225/employment/6660771)
2. [Source](https://nauka-polska.pl/#/profile/research?id=36616)
3. [Source](https://nauka-polska.pl/#/profile/research?id=330939)
4. [Source](https://nauka-polska.pl/#/profile/research?id=311941)
5. Polish Science