# H. Ryan Harasimowicz

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

**Wikidata**: [Q113667916](https://www.wikidata.org/wiki/Q113667916)  
**Source**: https://4ort.xyz/entity/h-ryan-harasimowicz

## Summary
H. Ryan Harasimowicz is a computer scientist who earned a Master of Science in Computer Science & Engineering from the University of Washington in 2018. He is known for his academic research, specifically his thesis on a hybrid graphical user-authentication system.

## Biography
- **Born:** [Date and place not provided]
- **Nationality:** [Not provided]
- **Education:** Master of Science in Computer Science & Engineering, University of Washington, 2018
- **Known for:** Research on hybrid graphical user-authentication systems (thesis: "Acras a Hybrid Graphical User-authentication System")
- **Employer(s):** [Not provided]
- **Field(s):** Computer Science, Computer Engineering

## Contributions
H. Ryan Harasimowicz's primary contribution is his master's thesis, "Acras a Hybrid Graphical User-authentication System," completed at the University of Washington in 2018. This work focused on designing and potentially implementing a novel authentication system combining graphical elements with other methods. The thesis represents a specific research output within the field of computer security and human-computer interaction, addressing the challenge of user authentication through an innovative hybrid graphical approach. While the specific impact or broader adoption details of the Acras system are not detailed in the provided sources, the thesis itself stands as a documented contribution to the field of authentication research.

## FAQs
### Q: What degree did H. Ryan Harasimowicz earn?
A: H. Ryan Harasimowicz earned a Master of Science in Computer Science & Engineering from the University of Washington in 2018.

### Q: What was the topic of H. Ryan Harasimowicz's master's thesis?
A: His master's thesis was titled "Acras a Hybrid Graphical User-authentication System," focusing on a hybrid graphical approach to user authentication.

### Q: Who was H. Ryan Harasimowicz's academic advisor?
A: Brent Lagesse was H. Ryan Harasimowicz's academic advisor during his master's studies at the University of Washington.

### Q: What is H. Ryan Harasimowicz's occupation?
A: H. Ryan Harasimowicz is a computer scientist.

## Why They Matter
H. Ryan Harasimowicz's work, particularly his master's thesis on the Acras hybrid graphical user-authentication system, contributes to the ongoing research and development of more secure and user-friendly authentication methods. By exploring graphical interfaces as part of the authentication process, his research addresses the critical need for systems that balance security with usability, a persistent challenge in cybersecurity. His thesis provides a specific documented contribution to this field, potentially influencing further research or practical implementations in authentication design, even if the broader impact details are not specified in the available sources.

## Notable For
- Earning a Master of Science in Computer Science & Engineering from the University of Washington in 2018.
- Authoring the master's thesis "Acras a Hybrid Graphical User-authentication System."
- Research focused on hybrid graphical user-authentication systems.
- Being advised by Brent Lagesse during his graduate studies at the University of Washington.

## Body
### Education
- H. Ryan Harasimowicz pursued graduate studies at the University of Washington.
- He completed a Master of Science degree in Computer Science & Engineering in 2018.
- His academic advisor was Brent Lagesse.

### Academic Work
- His primary documented contribution is the master's thesis: "Acras a Hybrid Graphical User-authentication System".
- The thesis research centered on the design and exploration of a hybrid graphical user-authentication system named "Acras".
- This work falls within the fields of Computer Science and Computer Engineering, specifically addressing user authentication and security.

## References

1. WorldCat