# Gustau Camps-Valls

> researcher, professor

**Wikidata**: [Q56755364](https://www.wikidata.org/wiki/Q56755364)  
**Source**: https://4ort.xyz/entity/gustau-camps-valls

## Summary
Gustau Camps-Valls is a Spanish computer scientist and full professor at the University of Valencia who specializes in machine learning and its applications to remote sensing and Earth science. He is an IEEE Fellow (2018) and a repeatedly listed Highly Cited Researcher (2011, 2020, 2021, 2022, 2023), recognized for influential work at the intersection of machine learning, signal/image processing, and Earth observation.

## Biography
- Born: 1972-03-08, Valencia
- Nationality: Spain
- Education: Master's degree (University of Valencia, 1998); Doctor of Philosophy (University of Valencia, 2002)
- Known for: Applying machine learning and signal/image processing methods to remote sensing and Earth science
- Employer(s): University of Valencia (professor); visiting professor appointments at Max Planck Institute for Intelligent Systems (2009–2010), University of Trento (2004–2005), Swiss Federal Institute of Technology in Lausanne (EPFL, 2013–2014), Universidad Carlos III de Madrid (2001–2002)
- Field(s): Machine learning, artificial intelligence, remote sensing, Earth science, signal processing, image processing, electrical engineering, physics, causality

## Contributions
Gustau Camps-Valls has developed and led research applying machine learning to remote sensing, Earth science, and signal/image processing. His work spans core machine learning methods and their deployment on Earth observation problems. Evidence of impact includes repeated recognition as a Highly Cited Researcher (2011, 2020, 2021, 2022, 2023), indicating high citation counts for his publications, and election as an IEEE Fellow in 2018. He has held influential visiting professorships at major institutions—Max Planck Institute for Intelligent Systems (2009–2010), EPFL (2013–2014), University of Trento (2004–2005), and Universidad Carlos III de Madrid (2001–2002)—supporting international collaboration and technology transfer. Camps-Valls maintains scholarly profiles and identifiers (Google Scholar ID: 6mgnauMAAAAJ; Scopus author ID: 6603888005; ORCID linked via external identifiers), and a University of Valencia research webpage. His research outputs are used within the remote sensing and machine learning communities and have contributed to the fields of image processing, signal processing, and causality as applied to Earth observation.

## FAQs
### Q: Who is Gustau Camps-Valls?
A: Gustau Camps-Valls is a Spanish computer scientist and full professor at the University of Valencia who researches machine learning, remote sensing, and related signal and image processing topics.

### Q: What are his main research areas?
A: His primary fields of work include machine learning, remote sensing and Earth science, signal and image processing, artificial intelligence, electrical engineering, physics, and causality.

### Q: What honors has he received?
A: He was named an IEEE Fellow in 2018 and has been listed as a Highly Cited Researcher in multiple years (2011, 2020, 2021, 2022, 2023).

### Q: Where has he worked internationally?
A: He has held visiting professorships at the Max Planck Institute for Intelligent Systems (2009–2010), University of Trento (2004–2005), EPFL (2013–2014), and Universidad Carlos III de Madrid (2001–2002).

### Q: How can I find his publications?
A: His publication records are available via his Google Scholar profile (ID 6mgnauMAAAAJ), Scopus (author ID 6603888005), and other academic identifiers linked to his University of Valencia webpage.

## Why They Matter
Gustau Camps-Valls matters because he bridges fundamental machine learning methods and practical Earth observation applications, helping to make advanced statistical and algorithmic techniques useful for remote sensing and environmental science. His recognition as an IEEE Fellow and repeated inclusion among Highly Cited Researchers reflect sustained influence: his publications are frequently cited by peers, demonstrating that his methods and findings have been adopted and built upon by other researchers. His visiting professorships at internationally prominent institutes facilitated collaboration and dissemination of techniques across disciplines and institutions. Memberships in professional societies and academies (including IEEE, SPIE, the European Academy of Sciences, and Academia Europaea) indicate leadership and peer recognition. Without his contributions, the uptake of certain machine learning approaches within remote sensing and Earth science would likely have been slower, and specific methodological advances in applying signal and image processing to large-scale Earth observation datasets might have had less impact. His work has helped shape research agendas and tools used by scientists working at the intersection of AI and geoscience.

## Notable For
- Named IEEE Fellow, 2018.
- Listed as a Highly Cited Researcher in 2011, 2020, 2021, 2022, and 2023.
- Full professor at the University of Valencia with visiting professorships at Max Planck Institute for Intelligent Systems (2009–2010), EPFL (2013–2014), University of Trento (2004–2005), and Universidad Carlos III de Madrid (2001–2002).
- Member of major professional organizations, including IEEE, SPIE, ACM, European Academy of Sciences (since 2022), and Academia Europaea (since 2022).
- Research focus spans machine learning, remote sensing, Earth science, signal and image processing, and causality.

## Body
### Early life and education
- Born 1972-03-08 in Valencia, Spain.
- Completed a master's degree at the University of Valencia in 1998.
- Completed a Doctor of Philosophy (PhD) at the University of Valencia in 2002.

### Academic positions
- Full professor at the University of Valencia (current employer).
- Visiting professor appointments:
  - Universidad Carlos III de Madrid (2001–2002).
  - University of Trento (2004–2005).
  - Max Planck Institute for Intelligent Systems (2009–2010).
  - Swiss Federal Institute of Technology in Lausanne (EPFL) (2013–2014).

### Research focus and fields
- Core fields: machine learning and artificial intelligence.
- Applied domains: remote sensing and Earth science.
- Methodological areas: signal processing, image processing, electrical engineering, physics, and causality.

### Honors and recognition
- IEEE Fellow, conferred in 2018.
- Recognized as a Highly Cited Researcher in 2011, 2020, 2021, 2022, and 2023.
- Member of professional bodies: IEEE (since 2007), SPIE (since 2011), ACM (since 2021), European Academy of Sciences (since 2022), Academia Europaea (since 2022), and participation in ELLI and European Science Foundation committees.

### Professional profiles and identifiers
- University webpage: https://www.uv.es/gcamps/ (English).
- Google Scholar ID: 6mgnauMAAAAJ.
- Scopus author ID: 6603888005.
- ORCID and other researcher identifiers linked through institutional and bibliographic records.
- Native language: Catalan; also proficient in English, Spanish, and Italian.

### Memberships and service
- IEEE Geoscience and Remote Sensing Society involvement.
- Roles on committees for European Laboratory for Learning and Intelligent Systems and the European Science Foundation.
- Affiliations reflect leadership in both machine learning and Earth science communities.

## References

1. IdRef
2. Czech National Authority Database
3. datos.bne.es
4. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
5. Virtual International Authority File
6. [Source](https://ieeexplore.ieee.org/author/38274160900)
7. [Source](https://spie.org/profile/GustauCamps-Valls)
8. [Source](https://www.essc.esf.org/panels-members/gustau-camps-valls/)
9. [Source](https://dl.acm.org/profile/81323488548)
10. [Source](https://www.eurasc.eu/members/gustau-campsuv-es/member/)
11. [Source](https://www.ae-info.org/ae/Member/Camps-Valls_Gustau)
12. WorldCat Entities
13. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-1683-2138/external-identifiers/415454)
14. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-1683-2138/external-identifiers/1181963)
15. National Library of Israel Names and Subjects Authority File