# Pushmeet Kohli

> Ph.D. Oxford Brookes University 2007

**Wikidata**: [Q21061678](https://www.wikidata.org/wiki/Q21061678)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Pushmeet_Kohli)  
**Source**: https://4ort.xyz/entity/pushmeet-kohli

Here’s the structured biographical entry for Pushmeet Kohli based strictly on the provided source material:

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## Summary
Pushmeet Kohli is a British computer scientist known for his contributions to artificial intelligence and computer vision. He earned his Ph.D. from Oxford Brookes University in 2007 and has held key roles at Microsoft and Google DeepMind. His research focuses on minimizing energy functions in computer vision using graph cuts.

## Biography
- Nationality: United Kingdom  
- Education: Doctor of Philosophy (Ph.D.), Oxford Brookes University (2007)  
- Known for: Minimizing dynamic and higher-order energy functions using graph cuts  
- Employer(s): Microsoft, Google DeepMind (since 2017)  
- Field(s): Computer science, artificial intelligence  

## Contributions
Pushmeet Kohli's doctoral thesis, *Minimizing dynamic and higher order energy functions using graph cuts* (2007), advanced techniques in computer vision by optimizing energy minimization problems. His work has been influential in AI applications, particularly at Google DeepMind, where he contributes to cutting-edge AI research. Kohli's publications are widely cited in computer science, with notable contributions to graph-cut algorithms and their applications in machine learning and vision systems.

## FAQs
### Q: Where did Pushmeet Kohli earn his Ph.D.?
A: Pushmeet Kohli earned his Ph.D. from Oxford Brookes University in 2007, specializing in computer science.

### Q: What is Pushmeet Kohli's role at Google DeepMind?
A: Kohli joined Google DeepMind in 2017, where he contributes to artificial intelligence research, focusing on advanced computational methods.

### Q: What is Pushmeet Kohli's primary research focus?
A: His research primarily involves minimizing energy functions in computer vision using graph-cut techniques, with applications in AI and machine learning.

## Why They Matter
Pushmeet Kohli's work has significantly advanced the field of computer vision, particularly in optimizing energy minimization problems using graph cuts. His contributions are foundational for AI systems that require efficient image processing and pattern recognition. Without his research, advancements in automated vision systems and machine learning models would likely be less robust and computationally intensive.

## Notable For
- Doctoral thesis on minimizing energy functions using graph cuts (2007).  
- Key roles at Microsoft and Google DeepMind.  
- Contributions to AI and computer vision research.  

## Body
### Education
- Ph.D. in Computer Science, Oxford Brookes University (2007).  
- Thesis: *Minimizing dynamic and higher order energy functions using graph cuts*.  

### Career
- Employed at Microsoft before joining Google DeepMind in 2017.  
- Works on AI research, focusing on computational efficiency in vision systems.  

### Research Focus
- Specializes in graph-cut algorithms for energy minimization in computer vision.  
- Publications widely cited in AI and machine learning.  

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## References

1. Mathematics Genealogy Project
2. E-Theses Online Service