# Eric W K See-To

> researcher

**Wikidata**: [Q86568297](https://www.wikidata.org/wiki/Q86568297)  
**Source**: https://4ort.xyz/entity/eric-w-k-see-to

## Summary
Eric W K See-To is a researcher and academic specializing in computer science, decision theory, and data science. He is affiliated with Lingnan University in Hong Kong, where he holds positions as a researcher, academic, and university teacher. His work focuses on big data and data science, contributing to the field through his research and publications.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education:
  - Doctor of Philosophy (PhD) in computer science from Hong Kong University of Science and Technology
  - Master of Business Administration (MBA) from University of Hong Kong
- Known for: Research in computer science, decision theory, data science, and big data
- Employer(s):
  - Lingnan University (since August 16, 2017)
- Field(s):
  - Computer science
  - Decision theory
  - Data science
  - Big data

## Contributions
Eric W K See-To has contributed to the fields of computer science, decision theory, and data science through his academic research and publications. His work has been recognized in various databases, including DBLP and Scopus, where he is listed as an author. He has also been involved in the development and application of data science and big data technologies, which have implications for research and industry. His research has been published in academic journals and conferences, further advancing the understanding and application of these fields.

## FAQs
### Q: What is Eric W K See-To known for?
A: Eric W K See-To is known for his research in computer science, decision theory, data science, and big data. He has contributed to these fields through his academic work and publications.

### Q: Where did Eric W K See-To earn his degrees?
A: Eric W K See-To earned his PhD in computer science from Hong Kong University of Science and Technology and his MBA from the University of Hong Kong.

### Q: What are Eric W K See-To's current affiliations?
A: Eric W K See-To is currently affiliated with Lingnan University in Hong Kong, where he works as a researcher, academic, and university teacher.

### Q: What are Eric W K See-To's areas of research interest?
A: Eric W K See-To's areas of research interest include data science and big data.

### Q: How can I access Eric W K See-To's publications?
A: Eric W K See-To's publications can be accessed through databases such as DBLP and Scopus, where he is listed as an author.

## Why They Matter
Eric W K See-To's work in computer science, decision theory, and data science has contributed to the advancement of these fields. His research and publications have provided insights and solutions that have been recognized and cited in academic and industry settings. By focusing on data science and big data, he has helped to shape the development and application of these technologies, which have significant implications for research and industry. His contributions have influenced the work of other researchers and practitioners in these fields, demonstrating the impact of his academic and professional endeavors.

## Notable For
- Researcher and academic specializing in computer science, decision theory, and data science
- Affiliated with Lingnan University in Hong Kong since 2017
- Holder of a PhD in computer science from Hong Kong University of Science and Technology
- MBA from the University of Hong Kong
- Author of research publications in computer science and related fields
- Recognized in academic databases such as DBLP and Scopus

## Body
### Education and Academic Background
Eric W K See-To holds a PhD in computer science from Hong Kong University of Science and Technology and an MBA from the University of Hong Kong. His academic background has equipped him with a strong foundation in computer science and business administration, which has been instrumental in his research and academic career.

### Research and Publications
Eric W K See-To's research focuses on computer science, decision theory, data science, and big data. He has contributed to these fields through his academic work and publications, which have been recognized in various databases, including DBLP and Scopus. His research has been published in academic journals and conferences, further advancing the understanding and application of these fields.

### Professional Affiliations
Eric W K See-To is currently affiliated with Lingnan University in Hong Kong, where he works as a researcher, academic, and university teacher. His role at Lingnan University has allowed him to contribute to the university's research and academic programs, as well as to collaborate with other researchers and practitioners in the field.

### Areas of Interest
Eric W K See-To's areas of research interest include data science and big data. His work in these fields has provided insights and solutions that have been recognized and cited in academic and industry settings. By focusing on data science and big data, he has helped to shape the development and application of these technologies, which have significant implications for research and industry.

### Impact and Influence
Eric W K See-To's work in computer science, decision theory, and data science has contributed to the advancement of these fields. His research and publications have provided insights and solutions that have been recognized and cited in academic and industry settings. By focusing on data science and big data, he has helped to shape the development and application of these technologies, which have significant implications for research and industry. His contributions have influenced the work of other researchers and practitioners in these fields, demonstrating the impact of his academic and professional endeavors.

## References

1. [Source](https://cptra.ln.edu.hk/people.html)
2. Virtual International Authority File
3. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
4. ORCID Registry
5. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-9864-7328/external-identifiers/620415)