# Utku Köse

> Turkish engineer and computer scientist (born 1985)

**Wikidata**: [Q122331726](https://www.wikidata.org/wiki/Q122331726)  
**Source**: https://4ort.xyz/entity/utku-kose

## Summary
Utku Köse is a Turkish engineer and computer scientist born in 1985. He is an associate professor at Süleyman Demirel University and a visiting professor at the University of North Dakota, known for his work in artificial intelligence, informatics, and chaos theory.

## Biography
- Born: 1985
- Nationality: Turkish
- Education: Bachelor of Science from Gazi University (2008), Master of Science from Afyon Kocatepe University (2010), Doctor of Philosophy from Selçuk University (2017)
- Known for: Research in artificial intelligence, informatics, chaos theory, and e-learning
- Employer(s): Süleyman Demirel University (associate professor since 2019), University of North Dakota (visiting professor since 2023), Uşak University (2012-2017), Afyon Kocatepe University (2009-2012)
- Field(s): Artificial intelligence, informatics, chaos theory, e-learning, computer science

## Contributions
Utku Köse has published extensively in the fields of artificial intelligence and computer science, with research focusing on explainable AI, machine learning, and intelligent systems. His work has been featured in academic conferences and journals, including presentations on explainable AI at institutions like BUET. As an academic, he has mentored students and contributed to curriculum development in computer science and engineering programs at multiple Turkish universities. His research has helped advance understanding of complex systems and intelligent computing applications.

## FAQs
### Q: What is Utku Köse's current academic position?
A: Utku Köse is an associate professor at Süleyman Demirel University in Turkey and a visiting professor at the University of North Dakota in the United States.

### Q: What are Utku Köse's main research areas?
A: His primary research areas include artificial intelligence, informatics, chaos theory, e-learning, and computer science, with a particular focus on explainable AI and machine learning applications.

### Q: Where did Utku Köse receive his education?
A: He earned his Bachelor of Science from Gazi University (2008), Master of Science from Afyon Kocatepe University (2010), and Doctor of Philosophy from Selçuk University (2017).

## Why They Matter
Utku Köse represents the growing influence of Turkish academics in global computer science and artificial intelligence research. His work on explainable AI addresses critical challenges in making machine learning systems more transparent and trustworthy, which is essential for widespread adoption of AI technologies. Through his teaching and research at multiple universities, he has helped develop the next generation of engineers and computer scientists in Turkey while also contributing to international academic discourse through his visiting professorship in the United States.

## Notable For
- Associate professor at Süleyman Demirel University with visiting professorship at University of North Dakota
- Research contributions in explainable AI and machine learning
- Extensive publication record in artificial intelligence and computer science
- Academic career spanning multiple Turkish universities including Uşak University and Afyon Kocatepe University
- Work bridging theoretical computer science with practical applications in intelligent systems

## Body
### Academic Career
Utku Köse has built a career in Turkish higher education, progressing from assistant professor to associate professor at Süleyman Demirel University. His academic journey includes positions at Uşak University (2012-2017) and Afyon Kocatepe University (2009-2012) before joining Süleyman Demirel University in 2017. In 2023, he expanded his international presence through a visiting professorship at the University of North Dakota.

### Research Focus
His research spans multiple interconnected fields within computer science. In artificial intelligence, he focuses on explainable AI, addressing the challenge of making machine learning decisions interpretable to humans. His work in informatics encompasses data storage, retrieval, and computational systems. Additionally, his research in chaos theory explores complex dynamic systems, while his e-learning work examines educational technology applications.

### Educational Background
Köse's educational path reflects a strong foundation in engineering and computer science. He completed his undergraduate studies at Gazi University in Ankara, followed by a master's degree at Afyon Kocatepe University. He then pursued doctoral studies at Selçuk University, completing his PhD in 2017. This educational trajectory provided him with both theoretical knowledge and practical research experience.

### International Collaboration
His visiting professorship at the University of North Dakota represents his engagement with the international academic community. This position allows him to share his expertise with students and colleagues in the United States while also bringing back insights to his work in Turkey. Such international exchanges are increasingly important in computer science, where global collaboration accelerates technological advancement.

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## References

1. Czech National Authority Database
2. [Source](https://orcid.org/0000-0002-9652-6415)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/education/4198333)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/education/4198330)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/education/4198327)
6. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/employment/21202034)
7. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/employment/9033380)
8. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/employment/4755438)
9. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/employment/4198338)
10. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9652-6415/employment/4198336)
11. Virtual International Authority File
12. National Library of Israel Names and Subjects Authority File