# Ruili Wang

> professor of artificial intelligence at Massey University in New Zealand

**Wikidata**: [Q122476665](https://www.wikidata.org/wiki/Q122476665)  
**Source**: https://4ort.xyz/entity/ruili-wang

## Summary
Ruili Wang is a professor of artificial intelligence at Massey University in New Zealand, recognized for his contributions to AI research and education. A male scholar, he holds a PhD from Dublin City University and was honored as a Fellow of the Institution of Professional Engineers New Zealand in 2023. His work focuses on advancing artificial intelligence models and fostering academic talent.

## Biography
- **Born**: [Date and place not available]  
- **Nationality**: [Not specified]  
- **Education**: Doctor of Philosophy (PhD) from Dublin City University  
- **Known for**: Research and teaching in artificial intelligence  
- **Employer(s)**: Massey University  
- **Field(s)**: Artificial intelligence  

## Contributions  
Ruili Wang has conducted research in artificial intelligence, specializing in the development of AI models. He has supervised doctoral students, including Junbo Ma, contributing to academic advancements in the field. In 2023, he received the prestigious Fellow of the Institution of Professional Engineers New Zealand award, recognizing his professional impact. While specific publications or projects are not detailed in the source material, his role as a professor underscores his involvement in teaching, mentorship, and scholarly activities that shape AI education and innovation in New Zealand.

## FAQs  
### Q: Where does Ruili Wang work?  
A: Ruili Wang is a professor at Massey University in New Zealand, where he teaches and conducts research in artificial intelligence.  

### Q: What is Ruili Wang’s notable achievement?  
A: He was named a Fellow of the Institution of Professional Engineers New Zealand in 2023, highlighting his contributions to engineering and technology.  

### Q: Where did Ruili Wang earn his PhD?  
A: He completed his Doctor of Philosophy (PhD) at Dublin City University.  

## Why They Matter  
Ruili Wang’s academic leadership and research in artificial intelligence have strengthened New Zealand’s capabilities in this critical field. As a professor at Massey University, he educates future AI professionals and drives innovation through scholarly work. His recognition as a Fellow of the Institution of Professional Engineers New Zealand in 2023 underscores his influence on both academic and professional communities. Without his contributions, the growth of AI expertise and education in New Zealand would be diminished, particularly in fostering talent like his doctoral student Junbo Ma.

## Notable For  
- Fellow of the Institution of Professional Engineers New Zealand (2023).  
- Professor of artificial intelligence at Massey University.  
- Supervisor of doctoral students, including Junbo Ma.  
- Featured on the Wikimedia focus list for the NZThesisProject.  

## Body  
### Academic Career  
Ruili Wang serves as a professor of artificial intelligence at Massey University in New Zealand. He earned his PhD from Dublin City University, specializing in computer science. His academic role involves teaching, research, and mentorship, with a focus on artificial intelligence systems.  

### Research and Contributions  
Wang’s work centers on artificial intelligence models, though specific projects or publications are not enumerated in the source material. He has supervised doctoral candidates, such as Junbo Ma, indicating his active engagement in cultivating emerging researchers.  

### Recognition  
In 2023, Wang was recognized as a Fellow of the Institution of Professional Engineers New Zealand, a distinction acknowledging his professional achievements and contributions to engineering and technology.  

### Affiliations  
- **Employer**: Massey University (verified via official profile).  
- **Focus List**: Part of the NZThesisProject, a Wikimedia initiative.

## References

1. [Source](https://www.massey.ac.nz/massey/expertise/profile.cfm?stref=980830)
2. [Source](https://www.engineeringnz.org/programmes/past-winners/)
3. [Source](https://www.massey.ac.nz/massey/expertise/phd-student-profiles/phd-student-profiles_home.cfm)