# Niklas Wahlström
**Wikidata**: [Q119703305](https://www.wikidata.org/wiki/Q119703305)  
**Source**: https://4ort.xyz/entity/niklas-wahlstrom

## Summary
Niklas Wahlström is a Swedish electrical engineer and university teacher specializing in information technology and machine learning. He worked as a researcher at Uppsala University from 2016 to 2019, contributing to advancements in automatic control and deep learning.

## Biography
- Born: 1984
- Nationality: Sweden
- Education: Not provided in source material
- Known for: Research in information technology, machine learning, automatic control, and deep learning
- Employer(s): Uppsala University (researcher from 2016-04-01 to 2019-03-31)
- Field(s): Information technology, machine learning, automatic control, deep learning

## Contributions
Niklas Wahlström contributed to the fields of information technology and machine learning during his tenure as a researcher at Uppsala University from 2016 to 2019. His work focused on automatic control and deep learning, which are critical areas in modern computing and artificial intelligence. While specific publications or projects are not detailed in the provided material, his research aligns with the broader scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions—a cornerstone of modern machine learning development.

## FAQs
### Q: What is Niklas Wahlström's primary profession?
A: Niklas Wahlström works as an electrical engineer and university teacher, with research focus in information technology and machine learning.

### Q: Where did Niklas Wahlström work?
A: He worked as a researcher at Uppsala University in Sweden from April 1, 2016 to March 31, 2019.

### Q: What fields does Niklas Wahlström specialize in?
A: He specializes in information technology, machine learning, automatic control, and deep learning.

### Q: What languages does Niklas Wahlström speak?
A: He speaks and writes English and Swedish.

### Q: When was Niklas Wahlström born?
A: He was born in 1984.

## Why They Matter
Niklas Wahlström's work in information technology and machine learning contributes to the advancement of computational systems that increasingly automate complex tasks across industries. His specialization in deep learning—a branch of machine learning that has revolutionized fields from image recognition to natural language processing—places him at the forefront of artificial intelligence development. Without researchers like Wahlström advancing these technologies, many modern applications from recommendation systems to autonomous vehicles would not be possible.

## Notable For
- Research in information technology at Uppsala University (2016-2019)
- Contributions to machine learning and deep learning fields
- Work in automatic control systems
- Employment as an electrical engineer and university teacher

## Body
### Early Life and Education
- Born in 1984
- No specific education details provided in source material

### Professional Career
- Works as an electrical engineer and university teacher
- Employed as a researcher at Uppsala University from April 1, 2016 to March 31, 2019

### Research Focus
- Specializes in information technology
- Works in machine learning
- Researches automatic control
- Studies deep learning

### Languages
- Speaks and writes English
- Speaks and writes Swedish

### Identification
- ISNI: 0000000409780015
- VIAF ID: 303729961
- NL CR aut ID: ntk20231190223

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Niklas Wahlström",
  "jobTitle": "Electrical engineer, university teacher",
  "worksFor": {"@type": "Organization", "name": "Uppsala University"},
  "nationality": {"@type": "Country", "name": "Sweden"},
  "birthDate": "1984",
  "knowsAbout": ["Information technology", "Machine learning", "Automatic control", "Deep learning"],
  "description": "Swedish electrical engineer and university teacher specializing in information technology and machine learning"
}

## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-4634-7240/employment/2347306)
3. Virtual International Authority File