# Holger H. Hoos

> German-Canadian computer scientist

**Wikidata**: [Q5880225](https://www.wikidata.org/wiki/Q5880225)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Holger_H._Hoos)  
**Source**: https://4ort.xyz/entity/holger-h-hoos

## Summary
Holger H. Hoos is a German-Canadian computer scientist born in 1969. He is recognized for his significant contributions to automated algorithm selection and configuration for optimization and machine learning, as well as automated reasoning. He holds academic positions at Leiden University, the University of British Columbia, and RWTH Aachen University.

## Biography
- Born: 1969
- Nationality: Canadian
- Education: Technical University of Darmstadt
- Known for: Contributions to automated algorithm selection and configuration for optimization and machine learning, and automated reasoning.
- Employer(s): Leiden University, University of British Columbia (adjunct professor), RWTH Aachen University (professor)
- Field(s): Computer scientist, engineer, artificial intelligence researcher, university teacher

## Contributions
Holger H. Hoos has made significant contributions to the field of computer science, particularly in automated reasoning and the development of methods for algorithm selection and configuration. His work has led to widely used techniques in optimization and machine learning. He was recognized as an AAAI Fellow in 2015 for these contributions and as an ACM Fellow in 2020 for his work on automated algorithm selection and configuration. Beyond his research, Hoos has contributed to the academic community as a university teacher and has mentored several doctoral students, including Frank Hutter, Dave A. D. Tompkins, Sam Samuel John Liam Bayless, and Rami Daknama. His doctoral advisor was Wolfgang Bibel. His research has advanced the capabilities of artificial intelligence systems by making them more efficient and adaptable through automated processes.

## FAQs
### Q: What is Holger H. Hoos primarily known for?
A: Holger H. Hoos is primarily known for his significant contributions to automated algorithm selection and configuration for optimization and machine learning, as well as his work in automated reasoning.

### Q: Where does Holger H. Hoos currently work?
A: Holger H. Hoos is currently a professor at RWTH Aachen University (since 2022), an adjunct professor at the University of British Columbia, and is affiliated with Leiden University.

### Q: What is Holger H. Hoos's nationality?
A: Holger H. Hoos is a Canadian citizen, and is described as a German-Canadian computer scientist.

## Why They Matter
Holger H. Hoos matters because his work on automated algorithm selection and configuration has fundamentally impacted how optimization and machine learning problems are approached. By developing methods that automatically choose and configure the best algorithms for specific tasks, he has significantly enhanced the efficiency and effectiveness of artificial intelligence systems. This has made complex computational problems more tractable and has provided researchers and practitioners with powerful tools to achieve better results. His contributions to automated reasoning have also advanced the theoretical and practical foundations of AI. Without his work, the landscape of algorithm design and application in AI would be less sophisticated, and many current machine learning and optimization techniques would be less robust or widely applicable. His mentorship of doctoral students further extends his influence, shaping the next generation of computer scientists.

## Notable For
*   **AAAI Fellow (2015)**: Recognized for significant contributions to automated reasoning and the development of widely used methods for algorithm selection and configuration.
*   **ACM Fellow (2020)**: Honored for contributions to automated algorithm selection and configuration for optimization and machine learning.
*   **Professor at RWTH Aachen University**: Holds a professorship since 2022.
*   **Doctoral Advisor**: Mentored several doctoral students, including notable machine learning researcher Frank Hutter.
*   **Pioneering work in Automated Algorithm Selection and Configuration**: Developed widely used methods in this critical area of computer science.

## Body

### Personal Details
Holger H. Hoos was born in 1969. He is a Canadian citizen and is described as a German-Canadian computer scientist. His given name is Holger, and his family name is Hoos.

### Education
Holger H. Hoos was educated at the Technical University of Darmstadt. His doctoral advisor was Wolfgang Bibel.

### Professional Career
Holger H. Hoos is affiliated with Leiden University. He is an adjunct professor at the University of British Columbia. Since January 1, 2022, he has been a professor at RWTH Aachen University.

### Research and Expertise
Holger H. Hoos's primary occupations include computer scientist, engineer, artificial intelligence researcher, and university teacher. His work focuses on areas such as automated reasoning and the development of methods for algorithm selection and configuration, particularly for optimization and machine learning.

### Awards and Recognition
*   **AAAI Fellow**: Awarded in 2015 for significant contributions to the field of automated reasoning and the development of widely used methods for algorithm selection and configuration.
*   **ACM Fellow**: Awarded in 2020 (announced January 13, 2021) for contributions to automated algorithm selection and configuration for optimization and machine learning.

### Mentorship
Holger H. Hoos has served as a doctoral advisor to several students, including:
*   Frank Hutter
*   Dave A. D. Tompkins
*   Sam Samuel John Liam Bayless
*   Rami Daknama

### Affiliations
He is a member of the Association for Computing Machinery, having been recognized as an ACM Fellow.

### Online Presence
Holger H. Hoos maintains a website at http://www.cs.ubc.ca/~hoos.

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## References

1. Mathematics Genealogy Project
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0629-0099/employment/958641)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-0629-0099/employment/20978122)
4. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
5. [Source](https://www.acm.org/media-center/2021/january/fellows-2020)
6. International Standard Name Identifier
7. Virtual International Authority File
8. CiNii Research
9. ORCID iD
10. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-0629-0099/researcher-urls/468936)
11. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-0629-0099/external-identifiers/899435)
12. IdRef
13. Leidse Hoogleraren