# Konrad Rieck

> German computer scientist

**Wikidata**: [Q102485686](https://www.wikidata.org/wiki/Q102485686)  
**Source**: https://4ort.xyz/entity/konrad-rieck

## Summary
Konrad Rieck is a German computer scientist specializing in computer security. He is known for his research in machine learning for cybersecurity, his academic leadership, and his role in advising multiple doctoral students in the field.

## Biography
- **Born**: February 20, 1977, in Berlin, Germany
- **Nationality**: Germany
- **Education**: Technische Universität Berlin (doctoral advisor: Klaus-Robert Müller)
- **Known for**: Research in computer security, particularly machine learning applications in cybersecurity
- **Employer(s)**: Technische Universität Braunschweig (2016–2022), Technische Universität Berlin (since 2023)
- **Field(s)**: Computer security, machine learning

## Contributions
Konrad Rieck has made significant contributions to the intersection of machine learning and cybersecurity. His work includes developing methods for detecting malware, intrusion detection, and adversarial machine learning. He has published extensively in top-tier conferences and journals, advancing the understanding of how machine learning can be applied to security challenges. Rieck has also supervised several doctoral students, including Fabian Yamaguchi, Tammo Krueger, and Christian Wressnegger, who have gone on to make their own contributions to the field. His research has been influential in shaping modern approaches to automated threat detection and response.

## FAQs
### Q: What is Konrad Rieck known for?
A: Konrad Rieck is known for his research in computer security, particularly the application of machine learning techniques to cybersecurity challenges such as malware detection and intrusion detection.

### Q: Where does Konrad Rieck work?
A: As of 2023, Konrad Rieck is affiliated with Technische Universität Berlin. Previously, he worked at Technische Universität Braunschweig from 2016 to 2022.

### Q: Who were Konrad Rieck's doctoral advisors and students?
A: His doctoral advisor was Klaus-Robert Müller. He has advised several doctoral students, including Fabian Yamaguchi, Tammo Krueger, Christian Wressnegger, and Guido Schwenk.

### Q: What is Konrad Rieck's Erdős number?
A: As of 2023, Konrad Rieck's Erdős number is 3, indicating his academic proximity to mathematician Paul Erdős through co-authorship networks.

## Why They Matter
Konrad Rieck's work has significantly advanced the field of computer security by integrating machine learning techniques into cybersecurity practices. His research has provided new methods for detecting and mitigating cyber threats, influencing both academic research and industry practices. By mentoring the next generation of computer scientists, Rieck has extended his impact beyond his own publications, shaping the future of cybersecurity research. His contributions have helped bridge the gap between theoretical machine learning and practical security applications, making systems more resilient against evolving threats.

## Notable For
- Pioneering research in machine learning for cybersecurity.
- Advising multiple doctoral students who have become notable in the field.
- Erdős number of 3, reflecting his academic connections.
- Extensive publications in computer security and machine learning.
- Leadership roles at Technische Universität Braunschweig and Technische Universität Berlin.

## Body
### Early Life and Education
Konrad Rieck was born on February 20, 1977, in Berlin, Germany. He pursued his education at Technische Universität Berlin, where he earned his doctorate under the supervision of Klaus-Robert Müller, a prominent figure in computer science and artificial intelligence.

### Career and Research
Rieck's career has been marked by a focus on computer security, particularly the application of machine learning to solve security challenges. He has held academic positions at Technische Universität Braunschweig (2016–2022) and Technische Universität Berlin (since 2023). His research has covered areas such as malware detection, intrusion detection systems, and adversarial machine learning, contributing to both theoretical and applied aspects of cybersecurity.

### Academic Influence
Rieck has played a significant role in mentoring the next generation of computer scientists. His doctoral students, including Fabian Yamaguchi, Tammo Krueger, and Christian Wressnegger, have gone on to make their own contributions to the field. This mentorship has amplified his impact on computer security research.

### Publications and Recognition
Rieck's work is widely recognized in the academic community, with numerous publications in top-tier conferences and journals. His research has been cited extensively, reflecting its influence on the field. He maintains a strong online presence, including a personal website and active engagement on platforms like Twitter (@mlsec) and GitHub (username: rieck).

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## References

1. Mathematics Genealogy Project
2. [Source](https://zbmath.org/collaboration-distance/?a=rieck.konrad&b=erdos.paul)