# John Canny

> Australian computer scientist

**Wikidata**: [Q6225059](https://www.wikidata.org/wiki/Q6225059)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/John_Canny)  
**Source**: https://4ort.xyz/entity/john-canny

## Summary
John Canny is an Australian computer scientist known for his contributions to robotics, machine perception, human-computer interaction, and ubiquitous computing. He is a professor at the University of California, Berkeley, and an ACM Fellow recognized for his influential research and mentorship in the field.

## Biography
- **Born**: 1953
- **Nationality**: Australia
- **Education**:
  - Ph.D., Massachusetts Institute of Technology (MIT)
  - University of Adelaide
- **Known for**: Advances in robotics, machine perception, human-computer interaction, and ubiquitous computing
- **Employer(s)**: University of California, Berkeley
- **Field(s)**: Computer science, robotics, artificial intelligence

## Contributions
John Canny has made significant contributions to computer science, particularly in robotics, machine perception, and human-computer interaction. His work includes foundational research in these areas, influencing both academic and industrial applications. He has mentored numerous Ph.D. students, many of whom have become prominent figures in computer science, such as Ming C. Lin, Dinesh Manocha, and Eric Paulos. Canny's research has been recognized with awards like the Machtey Award (1987) and the Packard Fellowship for Science and Engineering (1988). His contributions to ubiquitous computing have also been pivotal in shaping modern interactive systems.

## FAQs
### Q: What is John Canny known for?
A: John Canny is known for his contributions to robotics, machine perception, human-computer interaction, and ubiquitous computing. He is a professor at UC Berkeley and an ACM Fellow.

### Q: Where did John Canny study?
A: John Canny studied at the Massachusetts Institute of Technology (MIT) and the University of Adelaide.

### Q: What awards has John Canny received?
A: John Canny has received the Machtey Award (1987), the Packard Fellowship for Science and Engineering (1988), and was named an ACM Fellow in 2021.

### Q: Who are some of John Canny's notable students?
A: Some of his notable students include Ming C. Lin, Dinesh Manocha, Eric Paulos, and Ashutosh G. Rege.

### Q: What is John Canny's current affiliation?
A: John Canny is currently a professor at the University of California, Berkeley.

## Why They Matter
John Canny's work has had a lasting impact on the fields of robotics, machine perception, and human-computer interaction. His research has laid the groundwork for advancements in these areas, influencing both academic research and practical applications. His mentorship has also shaped the careers of many prominent computer scientists, extending his influence through their contributions. Without his work, the development of modern interactive systems and robotic technologies might have been significantly delayed.

## Notable For
- ACM Fellow (2021) for contributions to robotics, machine perception, human-computer interaction, and ubiquitous computing
- Recipient of the Machtey Award (1987) and Packard Fellowship for Science and Engineering (1988)
- Mentor to numerous influential computer scientists, including Ming C. Lin and Dinesh Manocha
- Professor at the University of California, Berkeley
- Research in ubiquitous computing and interactive systems

## Body
### Early Life and Education
John Canny was born in 1953 in Australia. He pursued his higher education at the University of Adelaide and later earned his Ph.D. from the Massachusetts Institute of Technology (MIT).

### Career and Research
Canny is a professor at the University of California, Berkeley, where he has conducted influential research in robotics, machine perception, human-computer interaction, and ubiquitous computing. His work has been recognized with several prestigious awards, including the Machtey Award in 1987 and the Packard Fellowship for Science and Engineering in 1988. In 2021, he was named an ACM Fellow for his contributions to these fields.

### Mentorship and Influence
Canny has mentored numerous Ph.D. students who have gone on to make significant contributions to computer science. Notable among them are Ming C. Lin, Dinesh Manocha, Eric Paulos, and Ashutosh G. Rege. His guidance has helped shape the careers of these individuals, extending his influence through their work.

### Awards and Recognition
- **Machtey Award** (1987)
- **Packard Fellowship for Science and Engineering** (1988)
- **ACM Fellow** (2021)

### Affiliations
Canny is affiliated with the University of California, Berkeley, and is a member of the Association for Computing Machinery (ACM).

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## References

1. [Source](https://www2.eecs.berkeley.edu/Faculty/Homepages/canny.html)
2. [Source](https://www.packard.org/what-we-fund/science/packard-fellowships-for-science-and-engineering/fellowship-directory/canny-john-f/)
3. [Source](https://www.acm.org/media-center/2021/january/fellows-2020)
4. Mathematics Genealogy Project
5. International Standard Name Identifier
6. Faceted Application of Subject Terminology
7. Virtual International Authority File
8. IdRef
9. National Library of Israel Names and Subjects Authority File