# Tak-Wah Lam

> researcher

**Wikidata**: [Q30503666](https://www.wikidata.org/wiki/Q30503666)  
**Source**: https://4ort.xyz/entity/tak-wah-lam

## Summary
Tak-Wah Lam is a researcher and computer scientist affiliated with the University of Hong Kong, where he holds the position of professor. His work primarily focuses on computer science, contributing to the study of computation and related fields.

## Biography
- Born: [date and place not specified]
- Nationality: [not specified]
- Education: [not specified]
- Known for: Contributions to computer science research
- Employer(s): University of Hong Kong (professor)
- Field(s): Computer science

## Contributions
Tak-Wah Lam has made significant contributions to the field of computer science, with his research and academic work recognized through various identifiers such as his ISNI (0000000351595545) and VIAF ID (305941228). He is associated with multiple academic databases, including DBLP, Scopus, and zbMATH, which track his publications and research impact. His work has been maintained by the WikiProject Mathematics, indicating a focus on mathematical aspects of computer science. Additionally, his research is indexed in Google Scholar, further highlighting his scholarly output.

## FAQs
### Q: What is Tak-Wah Lam's primary field of work?
A: Tak-Wah Lam is a computer scientist whose work primarily focuses on computer science, particularly in the study of computation.

### Q: Where is Tak-Wah Lam currently employed?
A: Tak-Wah Lam is a professor at the University of Hong Kong.

### Q: What academic databases list Tak-Wah Lam's research?
A: Tak-Wah Lam's research is listed in DBLP, Scopus, zbMATH, and Google Scholar, among others.

### Q: Has Tak-Wah Lam received any notable recognition for his work?
A: While specific awards are not mentioned, his research has been maintained by the WikiProject Mathematics, indicating a recognized contribution to the field.

### Q: What identifiers are associated with Tak-Wah Lam's academic work?
A: Tak-Wah Lam is identified by ISNI (0000000351595545), VIAF ID (305941228), and various academic database identifiers such as DBLP, Scopus, and zbMATH.

## Why They Matter
Tak-Wah Lam's contributions to computer science have been documented in multiple academic databases, reflecting his influence on the study of computation. His work has been recognized by the WikiProject Mathematics, indicating a significant impact on mathematical aspects of computer science. By being listed in platforms like Google Scholar and Scopus, his research has been widely accessible and cited, contributing to the broader academic community. His affiliation with the University of Hong Kong as a professor underscores his leadership and expertise in the field.

## Notable For
- Professor at the University of Hong Kong, contributing to computer science research.
- Listed in academic databases such as DBLP, Scopus, and zbMATH.
- Maintained by the WikiProject Mathematics, highlighting his work's relevance to mathematical computer science.
- Indexed in Google Scholar, indicating a significant scholarly output.
- Identified by ISNI (0000000351595545) and VIAF ID (305941228), reflecting his academic recognition.

## Body
### Academic Affiliation
Tak-Wah Lam is a professor at the University of Hong Kong, where he has been employed since at least 2014, as indicated by his ORCID record. His academic appointments are referenced in his ORCID profile, which lists his employment history.

### Research Identification
Tak-Wah Lam's research is identified by multiple academic identifiers, including:
- ISNI: 0000000351595545
- VIAF ID: 305941228
- DBLP Author ID: l/TakWahLam
- Scopus Author ID: 7202523165
- zbMATH Author ID: lam.tak-wah
- Google Scholar Author ID: wgvU0B8AAAAJ

### Academic Contributions
Tak-Wah Lam's work has been maintained by the WikiProject Mathematics, indicating a focus on mathematical aspects of computer science. His research is also indexed in Springer Nature, further documenting his scholarly contributions.

### Recognition and Impact
Tak-Wah Lam's work has been recognized in various academic databases, including DBLP, Scopus, and zbMATH, which track his publications and research impact. His research is also accessible through Google Scholar, highlighting his influence on the academic community.

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4676-8587/employment/152300)
2. [SciGraph](https://scigraph.springernature.com/person.01342007103.04)