# Carlos Valle Vidal

> Chilean researcher

**Wikidata**: [Q57898524](https://www.wikidata.org/wiki/Q57898524)  
**Source**: https://4ort.xyz/entity/carlos-valle-vidal

## Summary
Carlos Valle Vidal is a Chilean researcher and teacher specializing in machine learning, data science, and mining. He has held academic positions at Federico Santa María Technical University and Playa Ancha University.

## Biography
- Born: Not specified
- Nationality: Chile
- Education:
  - Doctorate, Engineering Informatics, Federico Santa María Technical University (2014)
  - Magister Degree, Engineering Informatics, Federico Santa María Technical University (2005)
  - Degrees, Civil Engineering & Computer Science, Federico Santa María Technical University (2005)
- Known for: Research in machine learning, data science, and mining applications.
- Employer(s):
  - Playa Ancha University, Valparaíso, Chile (2018-Present)
  - Federico Santa María Technical University, Valparaíso, Chile (2014-2018)
- Field(s): Machine learning, data science, mining.

## Contributions
Carlos Valle Vidal has contributed to the field of applied computer science, particularly in mining and data analysis. His research focuses on the application of machine learning techniques within mining contexts, aiming to improve efficiency and data-driven decision-making. While specific publications or major projects are detailed only through his academic affiliations and field of work, his career demonstrates a sustained focus on leveraging computational methods for industrial challenges, specifically within Chile's mining sector. His roles at both Federico Santa María Technical University and Playa Ancha University involve teaching and research in these specialized areas.

## FAQs
### Q: What is Carlos Valle Vidal's nationality?
A: Carlos Valle Vidal is Chilean.

### Q: Where does Carlos Valle Vidal currently work?
A: Carlos Valle Vidal is employed by Playa Ancha University in Valparaíso, Chile.

### Q: What are Carlos Valle Vidal's main research areas?
A: Carlos Valle Vidal's primary research areas are machine learning, data science, and mining.

### Q: What degrees does Carlos Valle Vidal hold?
A: Carlos Valle Vidal holds a Doctorate and a Magister Degree in Engineering Informatics, along with degrees in Civil Engineering and Computer Science, all from Federico Santa María Technical University.

## Why They Matter
Carlos Valle Vidal's work in machine learning, data science, and mining contributes to the intersection of advanced computational techniques and industrial applications, specifically within Chile's critical mining sector. His research focuses on extracting actionable insights from complex data to potentially enhance operational efficiency and decision-making processes in mining. By teaching and researching at both Federico Santa María Technical University and Playa Ancha University, he plays a role in developing local expertise in these high-demand fields, supporting Chile's technological and industrial advancement.

## Notable For
*   Obtained a Doctorate in Engineering Informatics (2014) and a Magister Degree in Engineering Informatics (2005) from Federico Santa María Technical University.
*   Maintains a consistent research focus on the application of machine learning and data science to the mining field.
*   Has held academic positions at two prominent Chilean universities: Federico Santa María Technical University (2014-2018) and Playa Ancha University (2018-Present).
*   Bilingual capabilities in Spanish (native) and English.
*   Identifiable through multiple academic author IDs (DBLP, Scopus, Dimensions, Springer Nature).

## Body
### Education and Background
Carlos Valle Vidal completed all his higher education at Federico Santa María Technical University in Chile. He obtained degrees in Civil Engineering and Computer Science in 2005. Subsequently, he earned a Magister Degree in Engineering Informatics (2005) and a Doctorate in Engineering Informatics (2014) from the same institution. His native language is Spanish, and he is also proficient in English.

### Academic Career and Affiliations
Vidal's academic career is primarily based in Chile. He was affiliated with Federico Santa María Technical University from November 2014 to February 2018. Since March 2018, he has been employed by Playa Ancha University in Valparaíso, Chile. His roles at both institutions encompass teaching and research. He is listed as both a researcher and a teacher.

### Research Focus
Carlos Valle Vidal's research is concentrated in the fields of machine learning and data science. He specifically applies these computational methods to the mining sector. His work involves the study of algorithms and statistical models to extract insights from data, with a clear emphasis on its practical application in mining contexts.

### Professional Identifiers
Vidal is identified in various academic databases with specific IDs:
*   DBLP Author ID: 92/1641
*   Scopus Author ID: 13611071300
*   Dimensions Author ID: 07755715405.34
*   Springer Nature Person ID: 07755715405.34

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Carlos Valle Vidal",
  "jobTitle": "Researcher, Teacher",
  "worksFor": {
    "@type": "Organization",
    "name": "Playa Ancha University"
  },
  "nationality": {
    "@type": "Country",
    "name": "Chile"
  },
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "Federico Santa María Technical University"
    }
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  "knowsAbout": [
    "Machine learning",
    "Data science",
    "Mining"
  ],
  "description": "Chilean researcher specializing in machine learning, data science, and mining applications."
}

## References

1. [Source](https://investigadores.anid.cl/es/public_search/researcher?id=21815)
2. [Source](https://www.scopus.com/authid/detail.uri?authorId=13611071300)
3. [Source](https://www.upla.cl/facultad/ingenieria/academicas-y-academicos/)
4. [Source](https://orcid.org/0000-0001-7158-2069)
5. [Source](https://dblp.org/pid/92/1641.html)
6. [SciGraph](https://scigraph.springernature.com/person.07755715405.34)
7. [Source](https://app.dimensions.ai/details/entities/publication/author/ur.07755715405.34)