# Fernando De la Prieta

> researcher, ORCID id # 0000-0002-8239-5020

**Wikidata**: [Q58362157](https://www.wikidata.org/wiki/Q58362157)  
**Source**: https://4ort.xyz/entity/fernando-de-la-prieta

## Summary
Fernando De la Prieta is a Spanish computer scientist and researcher specializing in artificial intelligence, machine learning, and multi-agent systems. He is an assistant professor at the University of Salamanca, known for his contributions to distributed data processing and cloud computing.

## Biography
- **Born**: [Not available in source material]
- **Nationality**: Spanish
- **Education**: Doctor of Philosophy (PhD) in Computer Science, University of Salamanca (2010–2014)
- **Known for**: Research in artificial intelligence, machine learning, and multi-agent systems
- **Employer(s)**: University of Salamanca (Assistant Professor, since 2014)
- **Field(s)**: Computer Science, Artificial Intelligence, Machine Learning, Multi-Agent Systems, Cloud Computing, Distributed Data Processing

## Contributions
Fernando De la Prieta has made significant contributions to the fields of artificial intelligence and machine learning, particularly in multi-agent systems and distributed data processing. His work includes research on cloud computing architectures and the development of algorithms for intelligent systems. While specific publications and projects are not detailed in the source material, his academic affiliations and identifiers (e.g., ORCID, Scopus, Google Scholar) indicate a robust body of peer-reviewed work. His research has likely influenced advancements in AI-driven solutions for complex computational problems.

## FAQs
### Q: What is Fernando De la Prieta's primary field of research?
A: Fernando De la Prieta specializes in computer science, with a focus on artificial intelligence, machine learning, and multi-agent systems.

### Q: Where does Fernando De la Prieta work?
A: He is an assistant professor at the University of Salamanca, where he has been employed since 2014.

### Q: What degrees does Fernando De la Prieta hold?
A: He holds a Doctor of Philosophy (PhD) in Computer Science from the University of Salamanca, earned between 2010 and 2014.

### Q: What are some of Fernando De la Prieta's research interests?
A: His research interests include artificial intelligence, machine learning, multi-agent systems, cloud computing, and distributed data processing.

### Q: What identifiers are associated with Fernando De la Prieta's academic work?
A: His academic identifiers include ORCID (0000-0002-8239-5020), Scopus Author ID (36170379700), and Google Scholar ID (HJ7TKlYAAAAJ).

## Why They Matter
Fernando De la Prieta's work in artificial intelligence and machine learning contributes to the advancement of intelligent systems and distributed computing. His research in multi-agent systems and cloud computing helps address challenges in scalability, efficiency, and automation, which are critical for modern computational infrastructures. As an educator at the University of Salamanca, he also plays a role in shaping the next generation of computer scientists and AI researchers.

## Notable For
- Assistant Professor at the University of Salamanca (since 2014)
- PhD in Computer Science from the University of Salamanca (2014)
- Research focus on artificial intelligence, machine learning, and multi-agent systems
- Author identifiers in major academic databases (ORCID, Scopus, Google Scholar)
- Contributions to cloud computing and distributed data processing

## Body
### Academic Background
- Earned a PhD in Computer Science from the University of Salamanca (2010–2014).
- Currently serves as an assistant professor at the same institution since September 9, 2014.

### Research Focus
- **Artificial Intelligence**: Development of intelligent software systems.
- **Machine Learning**: Algorithms and statistical models for task automation.
- **Multi-Agent Systems**: Research on systems where multiple intelligent agents interact.
- **Cloud Computing**: Architectures and solutions for distributed computing.
- **Distributed Data Processing**: Techniques for handling large-scale data across networks.

### Identifiers and Affiliations
- **ORCID**: 0000-0002-8239-5020
- **Scopus Author ID**: 36170379700
- **Google Scholar ID**: HJ7TKlYAAAAJ
- **GND ID**: 1192827856
- **VIAF ID**: 10144782951654589416
- **ResearcherID**: H-4738-2015

### Languages
- Spanish (native)
- English (professional proficiency)

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## References

1. Czech National Authority Database
2. Virtual International Authority File
3. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-8239-5020/external-identifiers/298256)
5. National Library of Israel Names and Subjects Authority File