# Francisco Câmara Pereira

> researcher at the Technical University of Denmark, transportation, machine learning, etc.

**Wikidata**: [Q40424579](https://www.wikidata.org/wiki/Q40424579)  
**Source**: https://4ort.xyz/entity/francisco-camara-pereira

## Summary
Francisco Câmara Pereira is a male researcher primarily working in the fields of machine learning and transportation. He is currently employed at the Technical University of Denmark, a position he has held since August 2015. His academic background includes education at the University of Coimbra and affiliation with the Massachusetts Institute of Technology.

## Biography
*   Education: University of Coimbra
*   Known for: machine learning, transportation
*   Employer(s): Technical University of Denmark (since August 2015), Massachusetts Institute of Technology, University of Coimbra
*   Field(s): machine learning, transportation

## Contributions
As a researcher, Francisco Câmara Pereira's work focuses on the scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions, known as machine learning. His research also extends to the domain of transportation. While the provided information identifies his areas of expertise and affiliations with prominent academic institutions like the Technical University of Denmark, Massachusetts Institute of Technology, and the University of Coimbra, specific details regarding his published works, discoveries, or leadership roles in particular projects are not available in the source material. His role as a researcher indicates engagement in advancing knowledge within these critical and evolving fields, contributing to the broader understanding and application of machine learning in various contexts, including transportation systems.

## FAQs
### Q: Who is Francisco Câmara Pereira?
A: Francisco Câmara Pereira is a male researcher specializing in machine learning and transportation. He is currently affiliated with the Technical University of Denmark.

### Q: What are Francisco Câmara Pereira's main fields of work?
A: Francisco Câmara Pereira's primary fields of work are machine learning and transportation. Machine learning involves the scientific study of algorithms and statistical models for computer systems to perform tasks without explicit instructions.

### Q: Where does Francisco Câmara Pereira currently work?
A: Francisco Câmara Pereira is currently employed as a researcher at the Technical University of Denmark, a position he has held since August 2015.

### Q: Where did Francisco Câmara Pereira receive his education?
A: Francisco Câmara Pereira was educated at the University of Coimbra.

### Q: Has Francisco Câmara Pereira worked at other notable institutions?
A: Yes, in addition to the Technical University of Denmark and the University of Coimbra, Francisco Câmara Pereira has also been affiliated with the Massachusetts Institute of Technology.

## Why They Matter
Francisco Câmara Pereira's work as a researcher in machine learning and transportation contributes to fields that are central to modern technological advancement and societal infrastructure. Machine learning is a foundational discipline enabling artificial intelligence, with applications ranging from data analysis and automation to predictive modeling. His involvement in transportation research suggests a focus on applying these advanced computational methods to improve efficiency, safety, and sustainability within transport systems. While specific impacts of his individual contributions are not detailed in the provided information, his engagement in these areas signifies his role in the ongoing development of innovative solutions that address complex challenges in both technology and urban planning. His academic affiliations with institutions like the Technical University of Denmark and the Massachusetts Institute of Technology underscore his position within a global network of researchers pushing the boundaries of these critical scientific domains.

## Notable For
*   His role as a researcher specializing in machine learning and transportation.
*   His current employment at the Technical University of Denmark since August 2015.
*   His academic background, including education at the University of Coimbra.
*   His affiliation with the Massachusetts Institute of Technology.
*   His various academic author identifiers, including ResearcherID (M-5718-2015, B-2111-2010), Scopus Author ID (7201689596, 57209250988, 57212525667), and Google Scholar Author ID (k7pIUY0AAAAJ).

## Body

### Personal Details
*   **Name:** Francisco Câmara Pereira
*   **Aliases:** Francisco C Pereira, Francisco Pereira, Pereira, F. C., Francisco Colunas Pereira da Câmara Pereira, Francisco Camara Pereira
*   **Gender:** Male
*   **Instance of:** Human

### Education
*   **Institution:** University of Coimbra

### Professional Career
*   **Occupation:** Researcher
*   **Current Employer:** Technical University of Denmark (since 2015-08-00)
*   **Past Employers/Affiliations:** Massachusetts Institute of Technology, University of Coimbra

### Research Interests
*   **Primary Field of Work:** Machine learning
*   **Additional Research Area:** Transportation

### Online Presence and Identifiers
*   **Websites:**
    *   http://camara.scripts.mit.edu/home/
    *   http://www.dtu.dk/english/service/phonebook/person?id=104358
    *   https://orbit.dtu.dk/en/persons/4f53d164-4536-4506-8ca7-24ce53447ef4
*   **ResearcherID:** M-5718-2015, B-2111-2010
*   **DBLP Author ID:** 96/3066
*   **Scopus Author ID:** 7201689596, 57209250988, 57212525667
*   **Publons Author ID:** 2353360
*   **Dimensions Author ID:** 012477505137.37
*   **Google Scholar Author ID:** k7pIUY0AAAAJ
*   **Google Knowledge Graph ID:** /g/11f105wrn_

## References

1. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-5457-9909/researcher-urls/1885207)
2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-5457-9909/external-identifiers/1784103)
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-5457-9909/external-identifiers/1784107)