# Jiebo Luo

> Chinese-American computer scientist

**Wikidata**: [Q65122342](https://www.wikidata.org/wiki/Q65122342)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Jiebo_Luo)  
**Source**: https://4ort.xyz/entity/jiebo-luo

## Summary
Jiebo Luo is a Chinese-American computer scientist specializing in artificial intelligence, particularly in computer vision, data mining, and social multimedia informatics. He is a professor at the University of Rochester and a Fellow of both the Association for Computing Machinery (ACM) and the Association for the Advancement of Artificial Intelligence (AAAI), recognized for his pioneering work in multimodal understanding and computational social science.

## Biography
- **Born**: 1967, Yunnan, China
- **Nationality**: Chinese-American
- **Education**:
  - Ph.D. in Computer Science, University of Rochester (1992–1995)
  - M.S. in Computer Science, University of Science and Technology of China (1989–1992)
  - B.S. in Computer Science, University of Science and Technology of China (1984–1989)
- **Known for**: Contributions to computer vision, data mining, and social multimedia informatics
- **Employer(s)**:
  - University of Rochester (Professor, 2011–present)
  - Kodak (Principal Scientist, 1995–2011)
- **Field(s)**: Artificial intelligence, computer vision, data mining

## Contributions
Jiebo Luo has made significant contributions to artificial intelligence, particularly in computer vision and data mining. His work includes pioneering research in multimodal understanding, sentiment analysis, and computational social science. He has published extensively in top-tier conferences and journals, with notable contributions to digital health and social multimedia informatics. His research has advanced the understanding of how machines can interpret and analyze complex multimedia data, bridging gaps between visual and textual information. Luo's work at Kodak and the University of Rochester has led to practical applications in image and video analysis, influencing both academic research and industry practices.

## FAQs
### Q: What is Jiebo Luo known for?
A: Jiebo Luo is known for his contributions to computer vision, data mining, and social multimedia informatics, particularly in multimodal understanding and computational social science.

### Q: Where does Jiebo Luo work?
A: He is a professor at the University of Rochester and previously worked as a principal scientist at Kodak.

### Q: What awards has Jiebo Luo received?
A: He is a Fellow of the ACM (2018) and AAAI (2019), recognized for his work in computer vision and data mining.

### Q: Where was Jiebo Luo educated?
A: He earned his Ph.D. from the University of Rochester and his M.S. and B.S. from the University of Science and Technology of China.

### Q: What is Jiebo Luo's primary field of research?
A: His primary fields are artificial intelligence, computer vision, and data mining.

## Why They Matter
Jiebo Luo's work has significantly advanced the field of artificial intelligence, particularly in the areas of computer vision and data mining. His research on multimodal understanding has enabled machines to better interpret and analyze complex multimedia data, which has applications in digital health, social media analysis, and computational social science. His contributions have influenced both academic research and industry practices, making him a key figure in the development of AI technologies. Without his work, the integration of visual and textual data in AI systems would be less advanced, impacting fields ranging from healthcare to social media analytics.

## Notable For
- Fellow of the Association for Computing Machinery (ACM) (2018)
- Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2019)
- Pioneering work in multimodal understanding and computational social science
- Professor at the University of Rochester and former principal scientist at Kodak
- Extensive publications in top-tier conferences and journals in AI and computer vision

## Body
### Early Life and Education
Jiebo Luo was born in 1967 in Yunnan, China. He earned his Bachelor of Science and Master of Science degrees in Computer Science from the University of Science and Technology of China in 1989 and 1992, respectively. He then pursued his Doctor of Philosophy in Computer Science at the University of Rochester, completing his degree in 1995.

### Career
Luo began his career as a principal scientist at Kodak, where he worked from 1995 to 2011. During his tenure at Kodak, he contributed to advancements in image and video analysis. In 2011, he joined the University of Rochester as a professor, where he continues to teach and conduct research in artificial intelligence, computer vision, and data mining.

### Research and Contributions
Luo's research focuses on computer vision, data mining, and social multimedia informatics. He has made significant contributions to multimodal understanding, which involves the integration of visual and textual data for better AI interpretation. His work has applications in digital health, sentiment analysis, and computational social science. Luo has published numerous papers in top-tier conferences and journals, influencing both academic research and industry practices.

### Awards and Recognition
Luo has been recognized for his contributions to the field of artificial intelligence. He was elected as a Fellow of the Association for Computing Machinery (ACM) in 2018 and a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2019. These accolades highlight his significant impact on the fields of computer vision and data mining.

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## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4516-9729/employment/8032211)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4516-9729/employment/8032248)
3. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
4. [Source](https://www.acm.org/media-center/2018/december/fellows-2018)
5. Mathematics Genealogy Project
6. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-4516-9729/researcher-urls/2136154)
7. Virtual International Authority File
8. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-4516-9729/researcher-urls/2136151)