# Guozhu Dong

> Ph.D. University of Southern California 1988

**Wikidata**: [Q102261192](https://www.wikidata.org/wiki/Q102261192)  
**Source**: https://4ort.xyz/entity/guozhu-dong

## Summary
Guozhu Dong is a Chinese-American computer scientist known for his work in data mining and database systems. He earned his Ph.D. from the University of Southern California in 1988 under the supervision of Seymour Ginsburg.

## Biography
- Born: March 12, 1957, in Weihai, China
- Nationality: Chinese-American
- Education: Ph.D. in Computer Science, University of Southern California, 1988
- Known for: Data mining, database systems, and machine learning research
- Employer(s): Wright State University (current)
- Field(s): Computer Science, Data Mining, Database Systems

## Contributions
Guozhu Dong has made significant contributions to the field of data mining and database systems through his research and academic work. As a professor at Wright State University, he has supervised numerous Ph.D. students who have gone on to successful careers in computer science. His research focuses on developing efficient algorithms for data analysis and knowledge discovery, particularly in large-scale databases. Dong has published extensively in top-tier conferences and journals, advancing the state of the art in data mining techniques and applications. His work has influenced both theoretical foundations and practical implementations in the field.

## FAQs
### Q: Where did Guozhu Dong receive his Ph.D.?
A: Guozhu Dong received his Ph.D. in Computer Science from the University of Southern California in 1988.

### Q: Who was Guozhu Dong's doctoral advisor?
A: Seymour Ginsburg, a prominent American computer scientist, was Guozhu Dong's doctoral advisor.

### Q: What is Guozhu Dong's current position?
A: Guozhu Dong is currently a professor at Wright State University, where he continues his research and teaching in computer science.

## Why They Matter
Guozhu Dong's work has been instrumental in advancing data mining and database technologies, which are foundational to modern data science and artificial intelligence applications. His research has helped develop more efficient methods for extracting valuable insights from large datasets, enabling businesses and researchers to make data-driven decisions. Through his mentorship of numerous Ph.D. students, Dong has also contributed to the growth of the next generation of computer scientists, many of whom are now leading researchers and practitioners in the field. His contributions continue to influence both academic research and practical applications in data-intensive domains.

## Notable For
- Supervised over 20 Ph.D. students who have become successful researchers and professionals
- Published extensively in top-tier data mining and database conferences
- Developed influential algorithms for knowledge discovery in databases
- Maintained an active research program at Wright State University for over two decades
- Contributed to the theoretical foundations of data mining and machine learning

## Body
### Academic Background
Guozhu Dong completed his doctoral studies at the University of Southern California in 1988, working under the guidance of Seymour Ginsburg, a pioneer in formal language theory and database theory. This training provided him with a strong foundation in theoretical computer science, which he has applied throughout his career to practical problems in data analysis.

### Research Focus
Dong's research primarily focuses on data mining, machine learning, and database systems. He has worked on developing efficient algorithms for pattern discovery, classification, and clustering in large datasets. His work often bridges the gap between theoretical foundations and practical implementations, making complex data analysis techniques more accessible and efficient.

### Academic Leadership
As a professor at Wright State University, Dong has supervised numerous Ph.D. students, many of whom have gone on to successful careers in academia and industry. His students include notable researchers such as Lijun Chen, Chunyu Jiang, and Shihong Mao, who have continued to advance the field in their own right.

### Publications and Impact
Dong has published extensively in top-tier conferences and journals in the field of data mining and database systems. His work has been cited thousands of times, indicating its significant impact on the research community. He has contributed to both the theoretical foundations and practical applications of data mining techniques.

### Professional Recognition
Dong's contributions have been recognized through various identifiers and profiles in academic databases, including his DBLP author ID (d/GuozhuDong), Google Scholar profile, and Mathematics Genealogy Project entry (79712). These profiles document his extensive publication record and academic lineage.

## Schema Markup
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{
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  "@type": "Person",
  "name": "Guozhu Dong",
  "jobTitle": "Professor of Computer Science",
  "worksFor": {
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  },
  "nationality": {
    "@type": "Country",
    "name": "China"
  },
  "birthDate": "1957-03-12",
  "birthPlace": "Weihai, China",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of Southern California"
    }
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  "knowsAbout": [
    "Data Mining",
    "Database Systems",
    "Machine Learning",
    "Computer Science"
  ],
  "sameAs": [
    "https://www.wikidata.org/wiki/Q13550863",
    "https://viaf.org/viaf/119675408"
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  "description": "Chinese-American computer scientist known for his work in data mining and database systems"
}

## References

1. Prabook
2. Czech National Authority Database
3. Mathematics Genealogy Project
4. [Source](https://cecs.wright.edu/~gdong/)
5. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)