# R. Michael Young

> Ph.D. University of Pittsburgh 1997

**Wikidata**: [Q102293308](https://www.wikidata.org/wiki/Q102293308)  
**Source**: https://4ort.xyz/entity/r-michael-young-q102293308

## Summary
R. Michael Young is an American computer scientist and university professor known for his work in artificial intelligence and narrative systems. He earned his Ph.D. from the University of Pittsburgh in 1997 and has held academic positions at North Carolina State University and the University of Utah.

## Biography
- Born: Not specified
- Nationality: United States
- Education: Ph.D. University of Pittsburgh (1997), California State University Sacramento, Hartnell College, Stanford University
- Known for: Research in AI, narrative systems, and computer science education
- Employer(s): University of Utah (current), North Carolina State University (1999-2016), Carnegie Mellon University (1997-1998), Hewlett-Packard (1984-1986)
- Field(s): Computer science, artificial intelligence, narrative systems

## Contributions
R. Michael Young has made significant contributions to the field of artificial intelligence, particularly in narrative systems and computational storytelling. His research focuses on creating intelligent systems that can understand, generate, and interact with narratives. Young has supervised numerous Ph.D. students who have gone on to successful careers in academia and industry, including Stephen G. Ware, Mark Riedl, and Yun-Gyung Cheong. His work has been published in numerous academic papers and has influenced the development of AI systems that can create and understand stories. Young's research has applications in education, entertainment, and human-computer interaction, advancing our understanding of how computers can engage with human creativity and storytelling.

## FAQs
### Q: What is R. Michael Young's primary area of research?
A: R. Michael Young specializes in artificial intelligence, with a focus on narrative systems and computational storytelling. His work explores how computers can understand, generate, and interact with stories.

### Q: Where does R. Michael Young currently work?
A: R. Michael Young is currently employed at the University of Utah, where he continues his research in computer science and AI.

### Q: Who were R. Michael Young's doctoral advisors?
A: R. Michael Young's doctoral advisors were Martha Pollack and Johanna Moore, both prominent computer scientists.

## Why They Matter
R. Michael Young's work in narrative AI has been instrumental in advancing how computers can understand and generate stories, bridging the gap between human creativity and machine intelligence. His research has opened new possibilities for educational tools, entertainment applications, and human-computer interaction. By training numerous successful Ph.D. students who now lead their own research programs, Young has created a lasting academic legacy that continues to shape the field. His contributions have helped establish narrative AI as a legitimate and important area of study within computer science, influencing both theoretical understanding and practical applications of AI in creative domains.

## Notable For
- Ph.D. from University of Pittsburgh in 1997
- Supervised over 10 successful Ph.D. students in AI and computer science
- Research in narrative systems and computational storytelling
- Academic positions at multiple prestigious institutions including University of Utah and North Carolina State University
- Former engineer at Hewlett-Packard

## Body
### Academic Career
R. Michael Young has built a distinguished academic career spanning multiple institutions. After completing his Ph.D. at the University of Pittsburgh in 1997, he held positions at Carnegie Mellon University and North Carolina State University before joining the University of Utah. His academic journey reflects a commitment to both research and education in computer science.

### Research Focus
Young's research centers on artificial intelligence, particularly in the domain of narrative systems. His work explores how computers can understand, generate, and interact with stories, which has applications in education, entertainment, and human-computer interaction. This research represents a unique intersection of computer science and creative storytelling.

### Mentorship and Academic Influence
As a doctoral advisor, Young has mentored numerous successful Ph.D. students who have gone on to establish their own careers in academia and industry. His students include prominent researchers like Mark Riedl and Stephen G. Ware, demonstrating his significant influence on the next generation of computer scientists.

### Industry Experience
Before his academic career, Young worked as an engineer at Hewlett-Packard from 1984 to 1986, providing him with valuable industry experience that complements his academic work.

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## References

1. Mathematics Genealogy Project
2. [Source](https://d182hggomw8pjd.cloudfront.net/wp-content/uploads/sites/10/2021/02/20101335/CV.current.2.20.2021.pdf)
3. [Source](https://repository.lib.ncsu.edu/items/7dc7af55-ec87-4daa-b983-79a56a082008)