# Kevin Wu

> master of Computer Science & Engineering, University of Washington, 2018

**Wikidata**: [Q113667942](https://www.wikidata.org/wiki/Q113667942)  
**Source**: https://4ort.xyz/entity/kevin-wu-q113667942

## Summary
Kevin Wu is a computer scientist who earned a master's degree in Computer Science & Engineering from the University of Washington in 2018. His academic research focused on detecting streaming wireless cameras through timing analysis techniques during his graduate studies.

## Biography
- Born: 1993
- Nationality: Not specified
- Education: Master's degree in Computer Science & Engineering, University of Washington, 2018
- Known for: Academic research on detecting streaming wireless cameras
- Employer(s): Not specified
- Field(s): Computer Science & Engineering

## Contributions
Kevin Wu contributed to the field of computer science through his master's thesis research titled "Detecting Streaming Wireless Cameras with Timing Analysis" (2018). This work focused on developing techniques to identify wireless cameras in streaming networks through timing analysis methods. His research addressed a specific technical challenge in network security and privacy by attempting to detect hidden surveillance devices that stream video content over wireless networks.

## FAQs
### Q: What academic degree did Kevin Wu earn?
A: Kevin Wu earned a master's degree in Computer Science & Engineering from the University of Washington in 2018.

### Q: What was the focus of Kevin Wu's thesis research?
A: Kevin Wu's thesis research focused on detecting streaming wireless cameras through timing analysis techniques.

### Q: Who was Kevin Wu's academic advisor?
A: Brent Lagesse served as Kevin Wu's academic advisor during his graduate studies at the University of Washington.

### Q: What technical problem did Kevin Wu's thesis address?
A: His thesis addressed the challenge of detecting hidden surveillance devices that stream video content over wireless networks using timing analysis methods.

## Why They Matter
Kevin Wu's work contributes to the field of network security and privacy by addressing the detection of hidden wireless cameras. Research in this area has implications for protecting personal privacy in spaces where covert surveillance might occur. His thesis represents specialized knowledge in a technical domain that has practical applications for security professionals and privacy advocates working to identify unauthorized surveillance devices in various environments.

## Notable For
- Master's degree in Computer Science & Engineering from the University of Washington (2018)
- Thesis research on detecting streaming wireless cameras with timing analysis
- Student of academic advisor Brent Lagesse
- Contribution to specialized knowledge in network security and privacy

## Body
### Early Life and Education
Kevin Wu was born in 1993 and pursued advanced studies in computer science and engineering. His academic journey culminated in a master's degree from the University of Washington in 2018, where he specialized in computer science and computer engineering.

### Academic Research
During his graduate studies at the University of Washington, Kevin Wu conducted research under the guidance of advisor Brent Lagesse. His thesis, "Detecting Streaming Wireless Cameras with Timing Analysis," represented his primary academic contribution. This research focused on technical methods for identifying surveillance devices that transmit video content via wireless networks by analyzing timing characteristics of the network traffic.

### Technical Focus
Wu's work centered on addressing challenges in network security, specifically targeting the detection of covert surveillance equipment. His research methodology involved examining timing patterns in network communications to distinguish legitimate traffic from that generated by streaming wireless cameras. This approach aimed to provide security professionals with tools to identify unauthorized surveillance devices in various environments.

## References

1. WorldCat