# Aijun An

> computer scientist, Ph.D. University of Regina 1998

**Wikidata**: [Q102252006](https://www.wikidata.org/wiki/Q102252006)  
**Source**: https://4ort.xyz/entity/aijun-an

## Summary
Aijun An is a Chinese-born computer scientist known for her work in data mining and database systems. She earned her Ph.D. from the University of Regina in 1998 and is currently a professor at York University in Toronto, Canada.

## Biography
- Born: 1964
- Nationality: Chinese
- Education: Ph.D. in Computer Science, University of Regina (1998)
- Known for: Research in data mining, database systems, and privacy-preserving data publishing
- Employer(s): York University
- Field(s): Computer Science, Data Mining, Database Systems

## Contributions
Aijun An has made significant contributions to the field of data mining and database systems through her research on privacy-preserving data publishing and data anonymization techniques. Her work has focused on developing methods to protect sensitive information while maintaining data utility for analysis. She has published extensively in top-tier conferences and journals, including VLDB, ICDE, and TKDE. Her research has influenced both academic and industry practices in data privacy and security. An has also supervised numerous graduate students who have gone on to successful careers in academia and industry.

## FAQs
### Q: Where did Aijun An complete her Ph.D.?
A: Aijun An completed her Ph.D. in Computer Science at the University of Regina in 1998.

### Q: What is Aijun An's primary research focus?
A: Aijun An's primary research focuses on data mining, database systems, and privacy-preserving data publishing.

### Q: Where does Aijun An currently work?
A: Aijun An is currently a professor at York University in Toronto, Canada.

## Why They Matter
Aijun An's work on privacy-preserving data publishing has been crucial in addressing the growing concerns about data privacy in the digital age. Her research has provided practical solutions for organizations to share data while protecting individual privacy, influencing both academic research and industry practices. Her contributions have helped shape the development of data anonymization techniques and privacy-preserving data mining methods that are now widely used in various sectors, from healthcare to finance.

## Notable For
- Developed influential privacy-preserving data publishing techniques
- Published extensively in top-tier database and data mining conferences
- Supervised numerous successful graduate students in computer science
- Contributed to the advancement of data anonymization methods
- Active researcher in the field of database systems and data mining

## Body
### Academic Background
Aijun An received her Ph.D. in Computer Science from the University of Regina in 1998. Her doctoral advisor was Nick Cercone, a prominent computer scientist known for his work in computational linguistics and artificial intelligence.

### Research Focus
An's research primarily focuses on data mining, database systems, and privacy-preserving data publishing. Her work addresses the critical challenge of protecting sensitive information in databases while maintaining their utility for analysis and research purposes.

### Publications and Impact
Throughout her career, An has published numerous papers in prestigious conferences and journals, including:
- VLDB (Very Large Data Bases)
- ICDE (International Conference on Data Engineering)
- TKDE (IEEE Transactions on Knowledge and Data Engineering)
- SIGMOD Record

Her research has been widely cited and has influenced both academic research and practical implementations in data privacy and security.

### Professional Role
Currently, Aijun An is a professor at York University in Toronto, Canada. She has been affiliated with York University since at least 2007, where she continues to conduct research, teach, and supervise graduate students in the field of computer science.

### Supervision and Mentorship
An has supervised numerous graduate students throughout her career at York University. Many of her former students have gone on to successful careers in both academia and industry, contributing to the advancement of computer science and data privacy fields.

## References

1. [Source](http://www.cse.yorku.ca/WiCSE/faculty.html)
2. Czech National Authority Database
3. Mathematics Genealogy Project
4. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
5. National Library of Israel Names and Subjects Authority File