# Minh Nguyen

> computer scientist and associate professor at Auckland University of Technology in New Zealand

**Wikidata**: [Q109913527](https://www.wikidata.org/wiki/Q109913527)  
**Source**: https://4ort.xyz/entity/minh-nguyen-q109913527

## Summary
Minh Nguyen is a computer scientist and an associate professor at Auckland University of Technology in New Zealand. He specializes in computer science, augmented reality, and visual perception, and is known for his doctoral research on high-fidelity 3D structure recovery. He is slated to become a full professor at Auckland University of Technology in 2025.

## Biography
- Education: Doctor of Philosophy from University of Auckland
- Known for: Research in computer science, augmented reality, and visual perception, and his role as an associate professor.
- Employer(s): Auckland University of Technology
- Field(s): computer science, augmented reality, visual perception

## Contributions
Minh Nguyen's academic contributions include his doctoral thesis, "High-Fidelity 3D Structure Recovery Using Hybrid Image-based Modelling," completed at the University of Auckland in 2015. This work focused on advanced techniques for reconstructing three-dimensional structures with high accuracy, a critical area within computer science, particularly relevant to augmented reality and visual perception. As an associate professor at Auckland University of Technology since January 2022, and with a promotion to full professor scheduled for January 2025, he contributes to the academic community through teaching and research leadership. He has also served as a doctoral advisor, guiding students such as Huy Le and Huy Tran in their academic pursuits. His work in computer science, augmented reality, and visual perception helps advance these fields through both his research and the mentorship of future scientists.

## FAQs
### Q: Who is Minh Nguyen?
A: Minh Nguyen is a computer scientist and an associate professor at Auckland University of Technology in New Zealand. He is recognized for his work in computer science, augmented reality, and visual perception.

### Q: Where does Minh Nguyen work?
A: Minh Nguyen works at Auckland University of Technology, where he holds the position of associate professor. He is scheduled to become a full professor at the same institution in 2025.

### Q: What is Minh Nguyen's academic background?
A: Minh Nguyen earned his Doctor of Philosophy degree from the University of Auckland. His doctoral thesis was titled "High-Fidelity 3D Structure Recovery Using Hybrid Image-based Modelling."

### Q: What are Minh Nguyen's fields of work?
A: Minh Nguyen's primary fields of work include computer science, augmented reality, and visual perception. He is also an active researcher in these areas.

### Q: Has Minh Nguyen supervised any students?
A: Yes, Minh Nguyen has served as a doctoral advisor for students, including Huy Le and Huy Tran.

## Why They Matter
Minh Nguyen matters due to his significant contributions to the fields of computer science, augmented reality, and visual perception, particularly through his advanced research in 3D structure recovery. His doctoral work provided foundational insights into creating high-fidelity models, which is crucial for developing more realistic and interactive augmented reality experiences and improving machine visual perception. As an associate professor, and soon a full professor, at Auckland University of Technology, he plays a vital role in shaping the next generation of computer scientists by educating students and advising doctoral candidates like Huy Le and Huy Tran. His ongoing academic leadership and research efforts ensure continued innovation and knowledge dissemination in these rapidly evolving technological domains, influencing future advancements in how machines interact with and interpret the visual world.

## Notable For
*   Associate Professor of Computer Science at Auckland University of Technology since 2022.
*   Scheduled to become a Full Professor at Auckland University of Technology in 2025.
*   Authored the doctoral thesis "High-Fidelity 3D Structure Recovery Using Hybrid Image-based Modelling" at the University of Auckland.
*   Doctoral advisor to students including Huy Le and Huy Tran.
*   Specializes in the fields of computer science, augmented reality, and visual perception.

## Body

### Personal Details
*   **Name:** Minh Nguyen
*   **Aliases:** M Nguyen, Minh Hoang Nguyen
*   **Given Name:** Minh
*   **Family Name:** Nguyễn
*   **Vietnamese Middle Name:** Hoàng
*   **Sex or Gender:** Male
*   **Instance Of:** Human

### Education
*   **Highest Degree:** Doctor of Philosophy (PhD)
*   **Awarding Institution:** University of Auckland
*   **Degree Year:** 2015
*   **Doctoral Thesis:** "High-Fidelity 3D Structure Recovery Using Hybrid Image-based Modelling"
*   **Doctoral Advisors:** Burkhard Wünsche, Patrice Delmas, Christof Lutteroth

### Professional Career
*   **Occupation:** Researcher, Computer Scientist
*   **Employer:** Auckland University of Technology
*   **Current Position:** Associate Professor (started 2022-01-01)
*   **Future Position:** Full Professor (starts 2025-01-01)
*   **Fields of Work:** Computer science, Augmented reality, Visual perception

### Academic Identifiers
*   **DBLP Author ID:** 83/2833-1
*   **Dimensions Author ID:** 012662357007.38

### Student Supervision
*   **Supervised Students:** Huy Le, Huy Tran

### Affiliations
*   **Primary Affiliation:** Auckland University of Technology (university at Auckland, New Zealand)

### Related Concepts
*   **Computer Scientist:** One who studies or practices computer science.
*   **Artificial Intelligence:** Field of computer science that develops and studies software enabling machines to exhibit intelligent behavior.
*   **Computer Science:** Study of computation.

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## References

1. [Source](https://news.aut.ac.nz/news/new-professors-and-associate-professors-3)
2. [Source](https://www.aut.ac.nz/news/stories/new-professors-and-associate-professors27)
3. [Source](http://hdl.handle.net/2292/27690)
4. [Source](http://hdl.handle.net/10292/11564)
5. [Source](http://hdl.handle.net/10292/11592)