# Dana S. Nau

> American computer scientist

**Wikidata**: [Q5214819](https://www.wikidata.org/wiki/Q5214819)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Dana_S._Nau)  
**Source**: https://4ort.xyz/entity/dana-s-nau

## Summary
Dana S. Nau is an American computer scientist and artificial intelligence researcher known for his contributions to automated planning and scheduling. He is a Fellow of both the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery (ACM).

## Biography
- Born: 1951 in Illinois
- Nationality: United States
- Education: Ph.D. from Duke University; also educated at Missouri University of Science and Technology
- Known for: Automated planning and scheduling, AI search algorithms
- Employer(s): University of Maryland
- Field(s): Computer science, artificial intelligence

## Contributions
Dana S. Nau has made significant contributions to the field of artificial intelligence, particularly in automated planning and scheduling. His work has advanced AI search algorithms and their applications in design and manufacturing. Nau has published extensively in these areas and has mentored numerous doctoral students who have gone on to make their own contributions to the field. His research has helped establish foundational techniques for automated planning systems that are used in various applications today.

## FAQs
### Q: What is Dana S. Nau known for?
A: Dana S. Nau is known for his contributions to automated planning and scheduling, AI search algorithms, and AI applications in design and manufacturing.

### Q: Where does Dana S. Nau work?
A: Dana S. Nau is employed by the University of Maryland.

### Q: What awards has Dana S. Nau received?
A: Dana S. Nau is a Fellow of both AAAI (elected 1996) and ACM (elected 2013) for his contributions to automated search and planning.

## Why They Matter
Dana S. Nau's work has been foundational to the development of automated planning systems, which are now essential in robotics, logistics, and manufacturing. His algorithms and theoretical frameworks have enabled more efficient and reliable AI planning capabilities. Through his mentorship of doctoral students and his extensive publications, Nau has helped shape the direction of AI research for decades. His contributions continue to influence how we approach complex planning problems in artificial intelligence.

## Notable For
- Fellow of AAAI (1996) for contributions to AI search algorithms, planning, and applications
- Fellow of ACM (2013) for contributions to automated search and planning
- Erdős number of 3
- Mentor to numerous doctoral students including Qiang Yang and William Clement Regli
- Extensive publications in automated planning and scheduling

## Body
### Education and Academic Background
Dana S. Nau completed his doctoral studies at Duke University, where he was advised by Alan Wales Biermann. He also attended Missouri University of Science and Technology. His educational background laid the foundation for his future research in computer science and artificial intelligence.

### Research Focus
Nau's primary research area is automated planning and scheduling, a branch of artificial intelligence concerned with the realization of strategies or action sequences. His work has focused on developing algorithms that can efficiently search through possible plans to find optimal or satisfactory solutions to complex problems.

### Professional Recognition
Nau has received significant recognition for his contributions to computer science. He was elected as a Fellow of the Association for the Advancement of Artificial Intelligence in 1996, cited for his contributions to AI search algorithms, AI planning, and AI applications in design and manufacturing. In 2013, he was named an ACM Fellow for his contributions to automated search and planning.

### Academic Influence
As a professor at the University of Maryland, Nau has supervised numerous doctoral students who have gone on to successful careers in academia and industry. His students include notable researchers such as Qiang Yang and William Clement Regli, extending his influence through their own work.

### Publications and Impact
Nau has published extensively in the field of automated planning and scheduling. His work has been cited widely and has contributed to the theoretical foundations and practical applications of AI planning systems. His research has helped advance the state of the art in how computers can autonomously generate and execute plans to achieve complex goals.

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## References

1. [Source](http://www.cs.umd.edu/~nau/bio.html)
2. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
3. [Source](https://www.acm.org/media-center/2013/december/acm-names-fellows-for-computing-advances-that-are-transforming-science-and-society)
4. Mathematics Genealogy Project
5. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
6. Virtual International Authority File
7. National Library of Israel Names and Subjects Authority File