# Philipp Grohs

> Dr. techn. Technische Universität Wien 2007

**Wikidata**: [Q102314407](https://www.wikidata.org/wiki/Q102314407)  
**Source**: https://4ort.xyz/entity/philipp-grohs

## Summary
Philipp Grohs is an Austrian mathematician and university teacher known for his work in applied mathematics, deep learning, and numerical analysis. Born in 1981, he earned his doctoral degree (Dr. techn.) from the Technische Universität Wien (TU Wien) in 2007 and is affiliated with the University of Vienna. His research focuses on advancing methodologies in data processing and artificial intelligence.

## Biography
- **Born**: 1981  
- **Nationality**: Austrian  
- **Education**: Doctoral degree (Dr. techn.) from TU Wien (2007)  
- **Known for**: Contributions to applied mathematics, deep learning, and numerical analysis  
- **Employer(s)**: University of Vienna  
- **Field(s)**: Applied mathematics, deep learning, data processing, numerical analysis  

## Contributions  
Philipp Grohs has contributed to the development of mathematical frameworks underpinning deep learning and data processing. While specific publications or patents are not detailed in the source material, his academic roles include supervising doctoral students such as Axel Clemens Obermeier, Simon Pintarelli, Markus Sprecher, and Zeljko Kereta. His work bridges theoretical mathematics and practical applications in artificial intelligence, emphasizing numerical analysis and computational methodologies. As a university teacher, he has influenced the next generation of researchers in these fields through education and mentorship.

## FAQs  
### Q: Where did Philipp Grohs earn his doctoral degree?  
A: He received his Dr. techn. from the Technische Universität Wien (TU Wien) in 2007.  

### Q: What fields is Philipp Grohs associated with?  
A: His primary fields include applied mathematics, deep learning, data processing, and numerical analysis.  

### Q: Is Philipp Grohs affiliated with any institutions?  
A: Yes, he is employed by the University of Vienna.  

## Why They Matter  
Philipp Grohs’ work is significant for integrating advanced mathematical principles into emerging technologies like deep learning. His research in numerical analysis and data processing contributes to the foundational tools used in artificial intelligence, enabling more efficient and accurate computational systems. As an educator, his supervision of doctoral students and academic roles at the University of Vienna underscore his role in fostering innovation in applied mathematics and its technological applications.

## Notable For  
- Supervised four doctoral students in mathematics and related fields.  
- Expertise in both theoretical mathematics (numerical analysis) and applied domains (deep learning, data processing).  
- Affiliation with the University of Vienna, a historic institution (founded 1365) and a hub for academic research in Austria.  

## Body  
### Education and Career  
- Earned a doctoral degree (Dr. techn.) from TU Wien in 2007.  
- Employed as a university teacher at the University of Vienna.  

### Research Focus  
- **Applied Mathematics**: Development of numerical methods and analytical frameworks.  
- **Deep Learning**: Contributed to mathematical underpinnings of machine learning systems.  
- **Data Processing**: Research on efficient computational techniques for data analysis.  

### Supervision and Mentorship  
- Supervised doctoral students including Axel Clemens Obermeier, Simon Pintarelli, Markus Sprecher, and Zeljko Kereta.  

### Affiliations  
- **University of Vienna**: A public research institution in Austria, established in 1365.  
- **TU Wien**: Completed his doctoral studies at this technical university.  

### Languages  
- Fluent in German and English.

## References

1. Czech National Authority Database
2. Mathematics Genealogy Project
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-9205-0969/employment/16260600)
4. Virtual International Authority File
5. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
6. National Library of Israel Names and Subjects Authority File