# Kevin Eugene Anderson

> master of Computer Science & Engineering, University of Washington, 2016

**Wikidata**: [Q113667854](https://www.wikidata.org/wiki/Q113667854)  
**Source**: https://4ort.xyz/entity/kevin-eugene-anderson

## Summary
Kevin Eugene Anderson is a computer scientist who holds a Master of Science in Computer Science & Engineering from the University of Washington, awarded in 2016.

## Biography
- **Born:** [Not provided in source]
- **Nationality:** [Not provided in source]
- **Education:** Master's degree (Computer Science & Engineering), University of Washington (2016). Thesis: "An Evaluation of Complex Adaptive Evolvable System Simulation". Advisor: George E. Mobus.
- **Known for:** [Not provided in source]
- **Employer(s):** [Not provided in source]
- **Field(s):** Computer Science

## Contributions
Kevin Eugene Anderson authored the master's thesis "An Evaluation of Complex Adaptive Evolvable System Simulation" at the University of Washington in 2016. This research focused on simulation methodologies within the field of Complex Adaptive Evolvable Systems, contributing to the understanding and analysis of systems characterized by complexity, adaptation, and evolutionary processes. The thesis represents a specific, documented contribution to computer science research, particularly in the domain of modeling complex adaptive systems.

## FAQs
### Q: What degree did Kevin Eugene Anderson earn and from where?
A: He earned a Master's degree in Computer Science & Engineering from the University of Washington in 2016.

### Q: What was the title of Kevin Eugene Anderson's academic thesis?
A: His master's thesis was titled "An Evaluation of Complex Adaptive Evolvable System Simulation".

### Q: Who advised Kevin Eugene Anderson during his master's studies?
A: George E. Mobus advised Kevin Eugene Anderson during his studies at the University of Washington.

## Why They Matter
Kevin Eugene Anderson's work, specifically his thesis on "An Evaluation of Complex Adaptive Evolvable System Simulation," contributes to the foundational understanding of computational approaches to modeling complex systems. By addressing the simulation of systems that adapt and evolve, his research supports advancements in fields reliant on such modeling, such as artificial intelligence, network theory, and biological systems simulation. His documented work provides a specific contribution within the broader domain of computer science research into complex adaptive systems.

## Notable For
*   Earning a Master's degree in Computer Science & Engineering from the University of Washington (2016).
*   Authoring the thesis "An Evaluation of Complex Adaptive Evolvable System Simulation".
*   Advised by George E. Mobus during his master's studies.

## Body
### Education and Academic Focus
*   Holds a Master's degree in Computer Science & Engineering.
*   Received the degree from the University of Washington.
*   Completed the degree program in 2016.
*   His thesis research focused on "Complex Adaptive Evolvable System Simulation".
*   Conducted his master's research under the supervision of George E. Mobus.

### Thesis Work
*   Authored the master's thesis: "An Evaluation of Complex Adaptive Evolvable System Simulation".
*   The work represents a specific contribution to computer science research within the subfield of complex systems simulation and modeling.
*   Evaluated methodologies related to simulating systems characterized by complexity, adaptation, and evolution.

## References

1. WorldCat