# Mahsa Mohaghegh

> Iranian-born New Zealand computer engineer

**Wikidata**: [Q58958853](https://www.wikidata.org/wiki/Q58958853)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Mahsa_Mohaghegh)  
**Source**: https://4ort.xyz/entity/mahsa-mohaghegh

## Summary
Mahsa Mohaghegh is an Iranian-born New Zealand computer engineer and computer scientist who serves as an associate professor at Auckland University of Technology. She is recognized for her research in statistical machine translation, particularly English-Persian phrase-based translation models, and for her academic leadership in New Zealand's computer science community.

## Biography
- Born: [date and place not provided in source material]
- Nationality: Iranian-born New Zealand
- Education: Doctor of Philosophy from Massey University (2012), with doctoral advisors Rezaul Hasan, Abdolhossein Sarrafzadeh, and Tom Moir
- Known for: Research in English-Persian phrase-based statistical machine translation
- Employer(s): Associate professor at Auckland University of Technology (since January 1, 2025); previously at Auckland University of Technology (since February 1, 2017)
- Field(s): Computer science, computer engineering

## Contributions
Mahsa Mohaghegh completed her doctoral thesis titled "English-Persian phrase-based statistical machine translation: enhanced models, search and training" at Massey University in 2012, establishing herself as a researcher in computational linguistics. Her work focuses on statistical machine translation systems that bridge English and Persian languages, addressing challenges in cross-lingual communication. As an academic, she has contributed to the field through publications indexed in Scopus (author ID: 36057015600) and DBLP (author ID: 127/0175), while serving as a mentor to students at Auckland University of Technology. Since joining the institution in 2017, she has advanced research in natural language processing and computational linguistics, ultimately achieving the rank of associate professor in 2025.

## FAQs
### Q: What is Mahsa Mohaghegh's area of expertise?
A: Mahsa Mohaghegh specializes in computer science with a focus on statistical machine translation, particularly developing English-Persian phrase-based translation models and enhanced search algorithms.

### Q: Where has Mahsa Mohaghegh worked throughout her career?
A: She has been affiliated with Auckland University of Technology since February 1, 2017, and was promoted to associate professor effective January 1, 2025. She received her doctorate from Massey University in 2012.

### Q: What notable award has Mahsa Mohaghegh received?
A: She received a Young Leader award in 2013, recognizing her contributions and leadership in the field of computer science and technology.

### Q: What was the focus of Mahsa Mohaghegh's doctoral research?
A: Her doctoral thesis at Massey University (2012) titled "English-Persian phrase-based statistical machine translation: enhanced models, search and training" advanced translation technologies between these two languages.

### Q: What is Mahsa Mohaghegh's professional background?
A: She is an Iranian-born New Zealand computer scientist who works as an associate professor at Auckland University of Technology, where she has been since 2017.

## Why They Matter
Mahsa Mohaghegh's research in statistical machine translation contributes to the development of technologies that bridge language barriers between English and Persian-speaking communities. Her doctoral work provided enhanced models for translation systems that have practical applications in cross-cultural communication. As one of the few Iranian-born female computer scientists holding a senior academic position in New Zealand, she represents an important example of international academic achievement and diversity in the tech sector. Her work not only advances computational linguistics but also serves as an inspiration for students from diverse backgrounds pursuing careers in computer science.

## Notable For
- Pioneering research in English-Persian statistical machine translation models with enhanced search algorithms
- Achievement of associate professor position at Auckland University of Technology in 2025
- Recognition as a Young Leader award recipient in 2013
- Academic advisor with doctoral research supervised by Rezaul Hasan, Abdolhossein Sarrafzadeh, and Tom Moir
- Scholarly publications indexed in major academic databases including Scopus and DBLP

## Body
### Personal Information
- Full name: Mahsa Mohaghegh (also known as Mahsa McCauley)
- Gender: Female
- VIAF ID: 31159939561125252545
- Library of Congress Authority ID: no2020099676

### Academic Background
- Doctor of Philosophy from Massey University (2012)
- Doctoral thesis: "English-Persian phrase-based statistical machine translation: enhanced models, search and training"
- Doctoral advisors: Rezaul Hasan, Abdolhossein Sarrafzadeh, and Tom Moir
- Education at Massey University - Albany Campus from May 1, 2008, to November 23, 2012

### Professional Career
- Current position: Associate professor at Auckland University of Technology (since January 1, 2025)
- Previous position at Auckland University of Technology (since February 1, 2017)
- Research focus: Statistical machine translation and natural language processing

### Research and Publications
- Scopus author ID: 36057015600
- DBLP author ID: 127/0175
- Dimensions author ID: 012616736363.21
- Springer Nature person ID: 012616736363.21
- ResearchGate profile: Mahsa_Mohaghegh
- Google Knowledge Graph ID: /g/11f0y1n310
- LinkedIn profile: mahsamohaghegh

### Recognition and Awards
- Young Leader award (2013)
- Featured in the New Zealand Thesis Project by Wikimedia
- Wikimedia Commons category: Mahsa Mohaghegh

### Professional Affiliations
- Auckland University of Technology
- Massey University (alma mater)
- Member of the computer science research community in New Zealand

## References

1. [Source](https://www.aut.ac.nz/news/stories/new-professors-and-associate-professors9)
2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-2228-8300/education/6508573)
3. English-Persian phrase-based statistical machine translation : enhanced models, search and training
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-2228-8300/employment/6508576)
5. [Source](https://www.womenofinfluence.co.nz/alumni)
6. [Source](https://www.massey.ac.nz/massey/expertise/phd-student-profiles/phd-student-profiles_home.cfm)
7. [Source](http://hdl.handle.net/10179/4703)
8. [SciGraph](https://scigraph.springernature.com/person.012616736363.21)