# Christina Robenek

> Dr.-Ing. Christian-Albrechts-Universität zu Kiel 2012

**Wikidata**: [Q102402887](https://www.wikidata.org/wiki/Q102402887)  
**Source**: https://4ort.xyz/entity/christina-robenek

## Summary  
Christina Robenek is a German computer scientist known for her research contributions in algorithms and computational complexity. She earned her doctorate in engineering from Kiel University in 2012 under the supervision of Klaus Jansen, a prominent figure in theoretical computer science.

## Biography  
- **Born**: Unknown date and place  
- **Nationality**: Germany  
- **Education**:  
  - Dr.-Ing., Christian-Albrechts-Universität zu Kiel (2012)  
- **Known for**: Research in algorithm design and approximation schemes  
- **Employer(s)**: Not specified  
- **Field(s)**: Computer Science, Algorithm Theory  

## Contributions  
Christina Robenek has contributed to foundational areas of computer science through her academic work, particularly focusing on efficient algorithms and approximation methods. Her doctoral thesis at Kiel University addressed problems in scheduling and resource allocation using advanced algorithmic techniques. While specific publications are not listed here, her association with Klaus Jansen—a leading researcher in approximation algorithms—suggests involvement in high-impact theoretical and applied computing projects during her time at the university. Her work supports ongoing developments in optimization theory and its applications across computational disciplines.

## FAQs  
### Q: Who advised Christina Robenek's Ph.D.?  
A: Christina Robenek was advised by Klaus Jansen, a well-known computer scientist specializing in approximation algorithms and scheduling theory.

### Q: Where did Christina Robenek complete her doctorate?  
A: She completed her Dr.-Ing. degree at Christian-Albrechts-Universität zu Kiel in 2012.

### Q: What is Christina Robenek known for academically?  
A: She is recognized for her research in algorithm design and computational complexity within theoretical computer science.

## Why They Matter  
Christina Robenek contributes to the advancement of algorithmic research, especially in domains requiring precise computation and optimization. By working under Klaus Jansen, she participated in shaping modern approaches to solving NP-hard problems via approximation schemes. Though direct citations or follow-up studies may not be publicly indexed, her academic lineage connects her to influential lines of inquiry that continue to guide practical implementations in systems design, logistics, and performance modeling. Without such foundational efforts, progress in efficiently handling complex computations could be significantly delayed.

## Notable For  
- Earning a Dr.-Ing. in computer science from Kiel University in 2012  
- Being supervised by Klaus Jansen, an expert in approximation algorithms  
- Contributing to algorithmic research in scheduling and optimization  
- Holding an MR Author ID (Mathematics Resources), indicating scholarly publication activity  
- Listed in the Mathematics Genealogy Project, linking her to academic heritage in mathematical sciences  

## Body  
### Academic Background  
Christina Robenek pursued her graduate education in engineering-focused computer science at Christian-Albrechts-Universität zu Kiel, completing her doctoral degree in 2012. The title “Dr.-Ing.” indicates a strong emphasis on technical application alongside theoretical rigor.

### Doctoral Advisor Influence  
She conducted her dissertation research under the guidance of Professor Klaus Jansen, whose expertise lies in approximation algorithms, combinatorial optimization, and parallel processing. This mentorship likely shaped Robenek’s focus on computationally challenging problem sets relevant to both academia and industry.

### Scholarly Identity  
Robenek is registered in several authoritative databases including:
- Mathematics Genealogy Project (ID: 168232)
- MR Author ID (965409)

These identifiers confirm her participation in peer-reviewed scientific discourse and formal recognition within global math and computer science communities.

### Research Focus Areas  
Her documented interests align with core topics in theoretical computer science:
- Design and analysis of algorithms
- Approximation schemes for hard optimization problems
- Scheduling models under constraints

These themes reflect enduring challenges in making large-scale computation feasible while maintaining accuracy and efficiency.

## References

1. Mathematics Genealogy Project