# Karin Schnass

> Austrian mathematician and computer scientist

**Wikidata**: [Q59654488](https://www.wikidata.org/wiki/Q59654488)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Karin_Schnass)  
**Source**: https://4ort.xyz/entity/karin-schnass

## Summary  
Karin Schnass is an Austrian mathematician and computer scientist born in 1980. She is a professor at the University of Innsbruck and a recipient of the prestigious Austrian **Start‑Preis** (2014) for her research in mathematics and computer science.

## Biography  
- **Born:** 3 May 1980, Klosterneuburg, Austria  
- **Nationality:** Austrian  
- **Education:**  
  - M.Sc., University of Vienna (2004)  
  - Ph.D., Swiss Federal Institute of Technology in Lausanne (EPFL) (2009) – doctoral advisors Hans Georg Feichtinger and Pierre Vandergheynst  
- **Known for:** Contributions to mathematics and computer science, especially in signal processing and sparse approximation  
- **Employer(s):** University of Innsbruck (professor, since 2016)  
- **Field(s):** Mathematics, Computer Science, Signal Processing  

## Contributions  
Karin Schnass has authored a substantial body of peer‑reviewed research documented in major scholarly databases (DBLP author ID 13/4063, Google Scholar ID za_Az_8AAAAJ, Scopus ID 23006113800). Her work focuses on theoretical and algorithmic aspects of sparse signal representation, compressed sensing, and machine learning. She has published articles that develop new greedy algorithms for sparse approximation, analyze their convergence properties, and apply them to audio and image processing tasks. These publications have been cited in subsequent studies on efficient data reconstruction and have influenced both academic research and practical implementations in signal‑processing software. Her research output is regularly presented at international conferences and appears in journals such as *Applied and Computational Harmonic Analysis* and *IEEE Transactions on Signal Processing*.  

## FAQs  
### Q: What are Karin Schnass’s main research areas?  
A: She works at the intersection of mathematics and computer science, focusing on signal processing, sparse approximation, and machine learning algorithms.  

### Q: Where does Karin Schnass currently work?  
A: Since 2016 she has been a professor at the University of Innsbruck in Austria.  

### Q: Which major award has she received?  
A: In 2014 she was awarded the Austrian **Start‑Preis**, a competitive grant supporting early‑career researchers.  

## Why They Matter  
Karin Schnass’s research advances the mathematical foundations of sparse signal representation, a cornerstone of modern data compression and reconstruction techniques. By devising more efficient algorithms, she enables faster and more accurate processing of large‑scale audio, image, and sensor data, directly benefiting fields such as telecommunications, medical imaging, and multimedia. Her contributions have been incorporated into subsequent scholarly work, shaping the direction of compressed‑sensing research and inspiring a new generation of mathematicians and computer scientists in Austria and beyond.  

## Notable For  
- Recipient of the Austrian **Start‑Preis** (2014) for outstanding research.  
- Professor at the University of Innsbruck (appointed 2016).  
- Ph.D. from EPFL (2009) under advisors Hans Georg Feichtinger and Pierre Vandergheynst.  
- Author of numerous highly cited papers on sparse approximation and signal processing (DBLP 13/4063).  
- Active contributor to international conferences and journals in computational mathematics.  

## Body  

### Early Life and Education  
- Born in Klosterneuburg, Austria, on 3 May 1980.  
- Completed a master’s degree in mathematics at the University of Vienna in 2004.  
- Earned a doctorate from EPFL in 2009, studying under Hans Georg Feichtinger and Pierre Vandergheynst.  

### Academic Career  
- Joined the University of Innsbruck as a faculty member in 2016.  
- Holds a professorship in the Department of Mathematics, teaching courses on analysis, algorithms, and signal processing.  

### Research Focus  
- Develops greedy and iterative algorithms for sparse signal recovery.  
- Analyzes theoretical guarantees (e.g., convergence rates, stability) of these methods.  
- Applies findings to practical problems in audio and image reconstruction.  

### Awards and Recognition  
- **Start‑Preis** (2014), awarded by the Austrian Science Fund to support innovative early‑career researchers.  

### Professional Profiles and Identifiers  
- DBLP author ID: 13/4063  
- Google Scholar ID: za_Az_8AAAAJ  
- Scopus author ID: 23006113800  
- Mathematics Genealogy Project ID: 161682  
- Personal website: [http://homepage.uibk.ac.at/~c7021041/index.html](http://homepage.uibk.ac.at/~c7021041/index.html)  

These details collectively illustrate Karin Schnass’s role as a leading figure in contemporary mathematical and computational research.

## References

1. Mathematics Genealogy Project
2. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
3. [Source](https://www.uibk.ac.at/mathematik/personal/schnass/dateien/cv_karin.pdf)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-4873-5570/researcher-urls/558029)
5. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-4873-5570/external-identifiers/355678)