# Majdi Mansouri

> researcher

**Wikidata**: [Q57101891](https://www.wikidata.org/wiki/Q57101891)  
**Source**: https://4ort.xyz/entity/majdi-mansouri

## Summary
Majdi Mansouri is a male researcher specializing in applied statistics, computer modeling, machine learning, and informatics. He works as an electrical engineer and university teacher, contributing to the field of computational systems and data analysis.

## Biography
- Born: [date and place not provided in source material]
- Nationality: [not provided in source material]
- Education: [not provided in source material]
- Known for: [primary contributions not specified in source material]
- Employer(s): [not provided in source material]
- Field(s): applied statistics, computer modeling, machine learning, informatics

## Contributions
Majdi Mansouri is recognized as a researcher with expertise in multiple computational fields. His work spans applied statistics, computer modeling, machine learning, and informatics, focusing on computational systems for data storage and retrieval. He maintains an active academic presence with identifiers in DBLP (11/7465), Scopus (7004271836), and ResearchGate (Majdi_Mansouri), indicating a consistent research output in his areas of specialization. His dual role as an electrical engineer and university teacher suggests he bridges theoretical research with practical applications while contributing to education in computational sciences.

## FAQs
### Q: What is Majdi Mansouri's primary field of research?
A: Majdi Mansouri specializes in applied statistics, computer modeling, machine learning, and informatics, focusing on computational systems and data analysis.

### Q: What academic positions does Majdi Mansouri hold?
A: Majdi Mansouri works as an electrical engineer and university teacher, contributing to both technical education and research in his field.

### Q: Where can I find Majdi Mansouri's published work?
A: Majdi Mansouri's research can be found through academic databases including DBLP (author ID: 11/7465), Scopus (author ID: 7004271836), and ResearchGate (profile ID: Majdi_Mansouri).

### Q: What is the significance of Majdi Mansouri's work in informatics?
A: Majdi Mansouri contributes to informatics, the study of computational systems especially for data storage and retrieval, as one of his primary fields of work.

## Why They Matter
Majdi Mansouri's work in applied statistics, computer modeling, machine learning, and informatics contributes to the advancement of computational systems and data analysis methodologies. His dual role as an electrical engineer and university teacher suggests he bridges theoretical research with practical applications while educating the next generation of professionals in these fields. His presence in multiple academic databases indicates an active research career that likely influences developments in how computational systems process and analyze data, particularly in the specialized intersection of statistics and informatics.

## Notable For
- Expertise in multiple computational fields including applied statistics, computer modeling, machine learning, and informatics
- Professional identity spanning both electrical engineering and university teaching
- Established academic presence with identifiers across multiple research databases
- Contributor to the study of computational systems, especially those for data storage and retrieval

## Body
### Personal Information
- Full name: Majdi Mansouri (also referenced as Magdi)
- Gender: male
- VIAF ID: 11166596245917590034
- NL CR AUT ID: xx0328979

### Professional Identity
- Occupation: researcher, electrical engineer, university teacher
- Instance of: human

### Research Focus
- Fields of work: applied statistics, computer modeling, machine learning, informatics
- Specialization in computational systems, especially those for data storage and retrieval

### Academic Presence
- DBLP Author ID: 11/7465
- Scopus Author ID: 7004271836
- ResearchGate Profile ID: Majdi_Mansouri

## References

1. Czech National Authority Database
2. Virtual International Authority File
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6390-4304/researcher-urls/1131958)