# Jason Hong

> Ph.D. University of California, Berkeley 2004

**Wikidata**: [Q102409070](https://www.wikidata.org/wiki/Q102409070)  
**Source**: https://4ort.xyz/entity/jason-hong

## Summary
Jason Hong is a computer scientist and ACM Fellow known for his contributions to ubiquitous computing and usable privacy and security. He earned his Ph.D. from the University of California, Berkeley in 2004 under the supervision of James Landay.

## Biography
- Born: 1975
- Nationality: American
- Education: Ph.D. in Computer Science, University of California, Berkeley (2004)
- Known for: Contributions to ubiquitous computing and usable privacy and security
- Employer(s): Carnegie Mellon University (faculty)
- Field(s): Computer science, ubiquitous computing, human-computer interaction, privacy and security

## Contributions
Jason Hong has made significant contributions to the fields of ubiquitous computing and usable privacy and security. His research focuses on making complex security and privacy technologies accessible to everyday users. Hong has published numerous papers on topics including mobile computing, context-aware systems, and privacy-enhancing technologies. His work has influenced the design of user interfaces for security systems and has helped bridge the gap between technical security mechanisms and practical user needs. Hong's research has been widely cited and has contributed to the development of more intuitive and effective security tools for non-expert users.

## FAQs
### Q: What is Jason Hong's educational background?
A: Jason Hong earned his Ph.D. in Computer Science from the University of California, Berkeley in 2004, where he studied under advisor James Landay.

### Q: What are Jason Hong's main research areas?
A: Jason Hong's research focuses on ubiquitous computing, human-computer interaction, and usable privacy and security, particularly making complex security technologies accessible to everyday users.

### Q: What recognition has Jason Hong received for his work?
A: Jason Hong was named an ACM Fellow in 2023 for his contributions to ubiquitous computing and usable privacy and security.

## Why They Matter
Jason Hong's work has been instrumental in making privacy and security technologies more accessible to non-expert users. His research on usable privacy and security has helped bridge the critical gap between sophisticated technical mechanisms and practical user needs, leading to more effective and widely adopted security tools. Hong's contributions to ubiquitous computing have also advanced the field's understanding of how context-aware systems can be designed to respect user privacy while providing valuable services. His work continues to influence both academic research and industry practices in human-computer interaction and security design.

## Notable For
- ACM Fellow (2023) for contributions to ubiquitous computing and usable privacy and security
- Ph.D. from UC Berkeley (2004) under advisor James Landay
- Extensive publications on mobile computing and context-aware systems
- Research on making complex security technologies accessible to everyday users
- Faculty position at Carnegie Mellon University

## Body
### Academic Background
Jason Hong completed his doctoral studies at the University of California, Berkeley in 2004, focusing on computer science. His advisor was James Landay, a prominent figure in human-computer interaction research.

### Research Focus
Hong's research primarily centers on ubiquitous computing and usable privacy and security. He has worked extensively on making complex security technologies accessible to non-expert users, addressing the usability challenges that often prevent effective security adoption.

### Professional Impact
As a faculty member at Carnegie Mellon University, Hong has mentored numerous students and contributed to the academic community through his research and publications. His work has been widely cited and has influenced both theoretical understanding and practical applications in human-computer interaction and security.

### Recognition
In 2023, Hong was named an ACM Fellow, recognizing his significant contributions to the field of computer science, particularly in ubiquitous computing and usable privacy and security. This honor reflects the impact and importance of his research in making technology more accessible and secure for everyday users.

## References

1. Czech National Authority Database
2. Mathematics Genealogy Project
3. [Source](https://www.acm.org/media-center/2023/january/fellows-2022)
4. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
5. CiNii Research