# Ivan Kopilovic

> Dr. rer. nat. Universität Konstanz 2004

**Wikidata**: [Q102489707](https://www.wikidata.org/wiki/Q102489707)  
**Source**: https://4ort.xyz/entity/ivan-kopilovic

## Summary
Ivan Kopilovic is a computer scientist who earned his Dr. rer. nat. degree from the University of Konstanz in 2004. His doctoral advisor was Dietmar Saupe, a prominent German computer scientist. Kopilovic's work contributes to the field of computer science through academic research and development.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Dr. rer. nat. from Universität Konstanz (2004)
- Known for: Computer science research and doctoral work
- Employer(s): Not specified
- Field(s): Computer science

## Contributions
Ivan Kopilovic completed his doctoral studies at the University of Konstanz in 2004, focusing on computer science research under the supervision of Dietmar Saupe. His doctoral work represents a significant academic achievement in the field, contributing to the body of knowledge in computer science. While specific publications or projects are not detailed in the source material, his doctoral degree from a respected German institution indicates substantial research contributions. The completion of a Dr. rer. nat. degree typically involves original research that advances understanding in the field, potentially including publications, algorithms, or theoretical frameworks that benefit the computer science community.

## FAQs
### Q: What is Ivan Kopilovic's highest academic degree?
A: Ivan Kopilovic holds a Dr. rer. nat. degree from Universität Konstanz, which he completed in 2004.

### Q: Who was Ivan Kopilovic's doctoral advisor?
A: Ivan Kopilovic's doctoral advisor was Dietmar Saupe, a German computer scientist.

### Q: What field does Ivan Kopilovic work in?
A: Ivan Kopilovic works in computer science, as indicated by his doctoral degree and academic background.

## Why They Matter
Ivan Kopilovic's doctoral work at the University of Konstanz represents a meaningful contribution to computer science research. By completing his Dr. rer. nat. degree under the guidance of Dietmar Saupe, Kopilovic has added to the academic foundation of the field. His research likely addresses important questions or develops new approaches within computer science, potentially influencing subsequent work by other researchers. The rigorous nature of doctoral research ensures that his contributions have undergone thorough evaluation and represent a genuine advancement in understanding or methodology within the discipline.

## Notable For
- Earning Dr. rer. nat. degree from Universität Konstanz in 2004
- Completing doctoral studies under Dietmar Saupe
- Contributing to computer science research through academic work
- Advancing knowledge in his field of specialization
- Representing the next generation of computer science researchers

## Body
### Academic Background
Ivan Kopilovic completed his doctoral studies at the University of Konstanz, earning the Dr. rer. nat. degree in 2004. This terminal degree in the German academic system represents the highest level of academic achievement and requires substantial original research.

### Research Focus
While specific details about Kopilovic's research area are not provided in the source material, his work falls within the broader field of computer science. His doctoral studies would have involved developing new knowledge, methodologies, or applications in his chosen area of specialization.

### Academic Lineage
Kopilovic's academic lineage connects him to Dietmar Saupe, his doctoral advisor. This relationship places him within a specific academic tradition and research approach, as doctoral advisors typically guide students in developing their research methodologies and theoretical frameworks.

### Professional Impact
The completion of a doctoral degree from a respected institution like Universität Konstanz positions Kopilovic to contribute to both academic and applied aspects of computer science. His research likely addresses practical challenges or theoretical questions that advance the field's capabilities and understanding.

## References

1. Mathematics Genealogy Project